airman! . ... .u .3 ii“... J” T‘- fim: :b. i . an... 5 .1 2:53;. .I , . .1 733:; 2.3! :1...“ .1 {5...} in .1): u. , . . :‘ . zuatthdvcfhs .. ~§1xflh|x:m sci... IA...) 1: I. m u: . Jhaflhn’k:lvir fiddlel.‘g 3‘ I: . 1. .rlvsioa-a‘ gab. .. a tfubwc.0a 1.. .n’g $39.5“. is , V a: 3...: A in! g I. 3H. Bu...” _ HEW. nun.“ I. . .5. I i5 3... J 113.3. I. c 1"? 134'},an I. . $ I .Ql ‘10. {a Danni! . - -§ 5" ”3.191.. r .5... I 6. . , 1 31...... hm 01031.1...112 x r. I: .3 It. i 5.1!. {um}??? g 5.33... mriinux? :. 1 «33.111 I Q .1; y. 5...... 3. art; 59‘... (5.4. ($7 .15: I v .0014 271772 LIBRARY Michigan State University This is to certify that the thesis entitled ALTERNATIVES TO METHYL BROMIDE FOR WEED CONTROL IN PERENNIAL ORNAMENTAL CROPS AND CONIFER SEEDLINGS presented by ROBERT EGON UHLIG has been accepted towards fulfillment of the requirements for the Master of Science degree in Horticulture Major WProféon’? ’5 Signature We}? 3‘ a0 6 Date MSU is an Affirmative Action/Equal Opportunity Institution .--l-U-I-n-o--o-l-I-I---I-I-o-I-I- .0-0-I-0-0-0-0-.-0-0-0-0-0-I-I-0-0-0-0-I-0-0-I-|-¢-O-I-C-O-i-A-A--O-I-O-I-L-l-l-. .. PLACE IN RETURN Box to remove this checkout from your record. To AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 2/05 p:/ClRC/DateDue.indd-p.1 ALTERNATIVES TO METHYL BROMIDE FOR WEED CONTROL IN PERENNIAL ORNAMENTAL CROPS AND CONIFER SEEDLINGS By Robert Egon Uhli g A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Horticulture 2006 ABSTRACT ALTERNATIVES TO METHYL BROMIDE FOR WEED CONTROL IN PERENNIAL ORNAMENTAL CROPS AND CONIFER SEEDLINGS By Robert Egon Uhlig The soil fumigant methyl bromide is being phased out in accordance with the Montreal Protocol and will not be available in the fixture. Experiments were conducted to identify fumigants and herbicides to replace methyl bromide for weed control in conifers and ornamental crops grown in the field and in containers under Michigan conditions. The fumigants methyl iodide, metham sodium, 1,3-dichloropropene, dazomet, and chloropicrin were evaluated in a field experiment. All of these fumigants provided good weed control, except methyl iodide 50% plus chloropicrin 50% (224 kg/ha) tarped and metham sodium (701 L/ha, 1:4 water) not tarped. Euphorbia polychroma, Echinops bannaticus ‘Blue Globe’, Lavandula angustifolia ‘Hidcote Blue’, Hosta fortunei ‘Twilight PP14040’, Artemisia schmidtiana ‘Silver Mound’, Chrysanthemum x superbum ‘Snow Lady’ and Coreopsis verticillata ‘Moon Beam’ growth was not affected by any of the fumigants. Herbicides were applied to several ornamental and conifer species to evaluate crop tolerance and weed control in the field and containers. There was considerable variability in crop tolerance among the species evaluated. The woody ornamental species Picea glauca var. ‘Dwarf Alberta’, T axus x media var. ‘Brownii’, and I72uja occidentalis var. ‘Holmstrup’ were tolerant of most herbicide treatments, while other species were sensitive to one or more herbicides. Terbacil gave excellent weed control, but caused injury on most species. Flumioxazin and isoxaben plus tn'fluralin were the safest treatments on the species evaluated and gave good weed control. To the memory of Ing. Agr. Harry Uhlig iii ACKNOWLEDGMENTS I want to thank my mentor, Dr. Bernard Zandstra for his constant support, help and understanding. I would like to thank my other committee members, Dr. George Bird and Dr. Bert Cregg for their guidance and constructive inputs during my professional development. I want to express my special thanks the members past and present of the Zandstra’s team: Mike Particka, Robert Richardson, Sylvia Morse, Daniel Little, William Chase, and all the crew at the Horticulture Teaching and Research Center for their constant help not only in the field but also for their helpful thoughts and ideas. In addition, I would also like to thank Juan Pedro Steibel for his guidance in statistics and for showing me the practical side of statistics. The Horticulture Department staff, as well the Horticulture Graduate Student organization (HOGS) gave me all their support and fiiendship to make my master’s time in Michigan so enjoyable. I would like to offer thanks my parents-in-law, Roberto Ferenczi and Nilda Gardini for their understanding, encouragement, support and love. Arturo Ferenczi, thanks for taking care of my obligations in Uruguay. I especially want to thanks to my family and, especially my dad, Harry Uhli g, who always encouraged us to expand our horizons in other countries knowing how important it was to grow both professionally and as a person. Without his advice we would never had the courage to take off. . .. Thanks to my mother, Cristina, my brothers and sister, Martin, Peter, and Martha for being always there when I needed them. iv Finally, I want to thank my wife Alejandra Ferenczi, and my son Harry. Alejandra’s daily encouragement, hard work, dedication and love were vital for the completion of my master’s degree. I deeply thank them for being my daily inspiration. TABLE OF CONTENTS LIST OF TABLES ........................................................................................................ viii CHAPTER 1 INTRODUCTION ............................................................................................................ 1 References ............................................................................................................. 5 CHAPTER 2 LITERATURE REVIEW ..................................................... ' ............................................ 6 Ornamental Industry ............................................................................................. 7 Methyl Bromide .................................................................................................... 8 Alternative firmigants ......................................................................................... 12 Other weed control methods: Non-chemical ..................................................... 21 Other weed control methods: Herbicides ........................................................... 23 Hypothesis / Plan of research ............................................................................. 28 References .......................................................................................................... 30 CHAPTER 3 COMPARATIVE EVALUATION OF SOIL FUMIGANT S ....................................... 40 Introduction ........................................................................................................ 41 Materials and Methods ........................................................................................ 50 Results and Discussion ....................................................................................... 52 Conclusions ......................................................................................................... 55 References ........................................................................................................... 56 CHAPTER 4 RESPONSE OF TEN ORNAMENTAL SPECIES TO HERBICIDE TREATMENTS 70 Introduction ......................................................................................................... 71 Materials and Methods ........................................................................................ 79 Results and Discussion ....................................................................................... 82 Conclusions ......................................................................................................... 85 References ........................................................................................................... 87 CHAPTER 5 RESPONSE OF FIELD AND CONTAIN ER-GROWN CONIFERS SEEDLINGS TO HERBICIDES ........................................................................................................... 96 Introduction ......................................................................................................... 97 Materials and Methods ...................................................................................... 100 Results and Discussion ..................................................................................... 105 Conclusions ....................................................................................................... 1 10 References ......................................................................................................... 1 12 CHAPTER 6 HERBICIDE EFFICACY ON DIFFERENT WEED SPECIES .................................. 125 Introduction ....................................................................................................... 126 vi Materials and Methods ...................................................................................... 131 Results and Discussion ..................................................................................... 135 References ......................................................................................................... 141 vii LIST OF TABLES CHAPTER 2 Table 1. Common weeds of nursery crop products ........................................................ 38 Table 2. Properties of soil fiimigants .............................................................................. 39 CHAPTER 3 Table 1. Properties of the soil fumigants ........................................................................ 60 Table 2. Fifteen pesticide treatments evaluated at Sawyers Nursery (Hudsonville, M1) for management of weeds and nematodes in Euphorbia polychroma, Echinops bannaticus, Lavandula angustifolia, Hosta, Artemisia schmidtiana, Chrysanthemum x superbum and Coreopsis verticillata .................................... 61 Table 3. Weed evaluation at 7 months after soil fumigants application ......................... 62 Table 4. Weed evaluation at 10 months after soil fumigants application ....................... 63 Table 5. Weed evaluation at 20 months after soil fumigants application ....................... 64 Table 6. Ornamental species injury rates at 11 months after soil fumigants application65 Table 7. Plant size index of 7 perennials growing in plots treated with different fumigant combinations ........................................................................................ 66 Table 8. Total plant dry matter of the seven ornamental species evaluated ................... 67 Table 9. Roots, foliage, and total dry weight of Euphorbia and Artemisz'a .................... 68 Table 10. Effect of Dazomet on ornamental plant visual rating, size, and dry weight...69 CHAPTER 4 Table 1. Ornamental plant injury 2 weeks after preemergence herbicides application ..90 Table 2. Ornamental plant injury at 6 weeks after preemergence herbicides application ........................................................................................................... 91 Table 3. Plant size index taken on November 2003 and 2004 ........................................ 92 Table 4. Weed control at 2 weeks after treatment .......................................................... 93 Table 5. Weed control at 6 weeks after treatment .......................................................... 94 Table 6. Grass species control for the 2004 study at 2 and 6 weeks after preemergence application ........................................................................................................... 95 CHAPTER 5 Table 1. Tree species and tree height average used for the field and container studies in 2003 and 2004 ............................................................................................... 114 Table 2. Conifer seedling injury in the field study at 2 weeks after treatment ............. 115 Table 3. Conifer seedling injury in the field experiment at 6 weeks after treatment....116 Table 4. Size index difference in the field study for 2004 ............................................ 117 Table 5. Weed control in the field study at 2 weeks after treatment ............................ 118 Table 6. Weed control in the field study at 6 weeks afier treatment ............................ 119 Table 7. Weed control in the field study in the Poaceae family in 2004 at 6 weeks after treatment ................................................................................................... 120 Table 8. Conifer seedling injury in the container study at 2 weeks after treatment ..... 121 Table 9. Conifer seedling injury in the container study at 6 weeks afier treatment ..... 122 Table 10. Size index difference in the container study for 2004 .................................. 123 Table 11. Number of weeds in the container study at 6 weeks after treatment (2004) 124 V111 CHAPTER 6 Table 1. Yellow nutsedge control, dry weight and number of plants per container at 2 weeks after treatment in greenhouse after treatment with pre and postemergence herbicides; grown in containers with high organic soil ................................................ 144 Table 2. Yellow nutsedge control, dry weight, and number of plants per pot in greenhouse conditions; grown in containers with mineral soil ..................................... 145 Table 3. Hosta injury and Inula control in the container study at 4 and 9 weeks after application of clopyralid ............................................................................................... 146 Table 4. Hosta injury in the field study at 2, 4, and 9 weeks after application of clopyralid in 2003 ......................................................................................................... 147 Table 5. Mugwort control at 2 and 8 WAT in both trials conducted in 2004 ............... 148 ix CHAPTER I: INTRODUCTION Methyl Bromide (MB) is a toxic gas used to control pests and diseases since before World War H. In recent decades MB use as a soil fumigant has increased steadily. Between 1984 and 1992 world wide use increased 60% (Price 1996). MB is the most widely used fumigant in the world with 68,424 metric tons used in 1996. Almost half of this was used in the USA. Agriculture accounts for 70% of the use, 5 to 8% is used for quarantine purposes; 8% is used for perishable product treatment; and 12% is used for non-perishable product treatment (Ware 2000). Oceanic sources, biomass burning, leaded gasoline combustion, structural fumigation, and agricultural applications contribute to MB emissions into the atmosphere. The relative contributions of anthropogenic and natural emissions to total atmospheric MB are not well known (Butler and Rodriguez 1996); however it was estimated that man- made sources account for 35% and natural sources account for 65% of the total MB in the atmosphere (Hanwant 1993). Even though MB is in low concentration in the atmosphere (10 parts per trillion) and has a short lifetime in the atmosphere (one year), it contains bromine, a highly active ozone depletion compound, leading to a high ozone depletion potential in the stratosphere (Butler and Rodriguez 1996). The bromine atom released from the MB molecule in the stratosphere reacts with an ozone molecule (03) resulting in one oxygen (02) and one bromine oxide molecule. The last, reacts with another ozone molecule resulting in two molecules of oxygen and one atom of bromine which reacts with another ozone molecule. This chain reaction affects negatively ozone concentration in the stratosphere (Bird 2005). Montreal Protocol on Substances that Deplete the Ozone under the United Nations Development Programme (UNDP) recognized MB as a chemical that contributes to depletion of the earth’s ozone layer, which protects the earth from incoming UV radiation from the sun. Excessive UV radiation can denature protein and cause nucleic acid transformation, resulting in negative human health impacts. The Montreal protocol set a time frame to reduce manufacture and importation of MB, and phase it out in developed countries for agricultural uses. The protocol mandated a 25% reduction in 1999, 25% reduction in 2001, 20% reduction in 2003, and complete phase out in 2005. Developing countries have agreed to reduce most chlorofluorocarbon (CFC) consumption by 50% by 1 January 2005 and to fully eliminate these by 1 January 2010 (Anonymous 2004b) Elimination of MB will cause economic losses to US agriculture. Research has been conducted on high value crops (tomatoes, strawberries, peppers, tobacco, and cucumbers) in search of alternatives for MB. Less research, however, has been done in the omamentals nursery industry. There is a distinct need for research on MB alternatives for nurseries and greenhouse enterprises. Nursery and greenhouse production is the fastest growing segment in agriculture. Sales increased 30% in a seven years period (1991-1998) (Knox et a1. 2003). Even though non-chemical methods of weed control are practiced, chemical methods are the most widely used in the ornamental nursery (Anonymous 2004a). The objective of this research is to find alternative chemicals, either fumigants or herbicides that can replace MB for weed control in the ornamental industry. The information obtained will provide nurseries with complementary tools for weed control, contributing to make them less dependable on MB and, reducing the negative impact of the elimination of MB. References: Anonymous. 2004a. Agricultural chemical uses 2003. Nursery and floriculture summary [Online]. Available by United States Dept. of Agr. - National Agr. Stat. Serv. http://usdamannlibcornell.edu/reports/nassr/other/pcu-bb/agcn0904.pdf (posted September 2004). Anonymous. 2004b. USDA - ARS Methyl Bromide Research [Online] http://www.ars.usda.gov/is/mb/mebrwebhtm. Bird, G. 2005. personal communication. Butler, J .H., and J .M. Rodriguez. 1996. Methyl bromide in the atmosphere, p. 28-83, In C. H. Bell, et al., eds. The methyl bromide issue, Vol. 1. John Wiley & Sons. Hanwant, BS. 1993. An investigation of the atmospheric sources and sinks of methyl bromide. AGU. Geophysical res. letters 20: 1 33-136. Knox, G., T. Momol, R. Mizell, and H. Dankers. 2003. Crop timeline for nursery-grown evergreens and shade trees. Prepared for the US EPA. Office of pesticides programs. North Florida Res. and Educ. Ctr, Inst. of food and Agr. Sci., University of Florida, Quincy. Price, N. 1996. Methyl bromide in perspective, p. 1-24, In C. H. Bell, et al., eds. The methyl bromide issue, Vol. 1. John Wiley & Sons, New York. Ware, G.W. 2000. The pesticide book. 5 ed. Thomson publications, Fresno. CHAPTER II: LITERATURE REVIEW Ornamental industry Nursery and greenhouse production represent the sixth largest agricultural commodity group in the United States. This is the fastest growing segment of US. agriculture; between 1991 and 1998 sales of this segment increased 30%. Nursery grth is due to the strong US. economy with the expansion in housing and increase of ornamental plant use (Knox et al. 2003). Weeds cause an estimated 12% reduction in crop yield in United States agriculture, representing $32 billion lost annually. In addition to direct losses, $4 billion is spent on herbicides each year. The cost of weed control in lawns, gardens, and golf courses is estimated in $36 billion per year (Pimentel et al. 2000). Nursery economic losses due to weed infestations have been estimated at $7,000 per acre. Weed species populations vary from nursery to nursery depending on many factors, such as environment, climate, and weed management (Table 1). Between $500 and $4,000 is spent per acre of containers for weed removal by hand (Mathers and Case 2003). However, hand-weeding is sometimes necessary regardless of preventive measures utilized for weed control (Knox et al. 2003). Although growers try to implement non-chemical weed control practices, including mulches, plant density, and mechanical methods, chemicals are widely used for weed control in nurseries. Herbicides represent 20% (446,000 pounds) of the total amount of pesticides used in the nursery and floriculture industries in California, Florida, Michigan, Oregon, Pennsylvania, and Texas (Anonymous 2004a). A survey in Florida showed that 71% and 56% of nurseries use post-emergence and pre-emergence herbicides, respectively, and almost half used both kinds of herbicide (Tatum and Thompson 1993). Methyl Bromide Methyl Bromide (MB) is a highly toxic gas that is formulated as a fumigant that is injected into soil before planting to control fimgi, weeds, and nematodes. The United States utilizes about 60 million pounds each year. Approximately 75% of that amount is applied to soil, 11% is used after harvest of various commodities during storage and before export, and 6% is used in structures such as food processing plants, warehouses, and museums, as well as transport vehicles. The remaining 8% is used for production of other chemicals (Anonymous 2004b). Methyl Bromide has been used since before World War II. The total amount used has increased steadily with a 60% increase between 1984 and 1992 (Price 1996). Among all firmigants, MB is the most popular, with 68,424 metric tons used in 1996, almost half of which was in the USA. Globally, 70% was used for pre-plant soil treatments in agriculture, 5 to 8% for quarantine purposes, 8% for perishable product treatment, and 12% for non-perishable products (Ware 2000). Synthetic MB is prepared by refluxing methanol with excess hydrobromic acid in the presence of small amounts of sulfuric acid. It is a colorless gas at temperatures above 3.5 C and at low concentrations has no noticeable odor. Many different formulations of MB are available for various pest control objectives. Chloropicrin (2% v/v) is added as a warning gas. Methyl bromide is a general biocide, making mode of action determination quite difficult to determine. In fact, the mode of action is not very well understood. Methylation of sulflrydryl groups and the following enzyme inactivation has been postulated to play an important role in its toxicity. MB affects a wide range of pests indicating that there is not a single toxic effect, and the process affected by MB has to be fimdarnental for living organisms. MB is highly soluble in lipids and has a high toxicity; it is lethal to rabbits at oral dosages (LD50) 60 mg kg'1 (Price 1996). Atmospheric MB originates from oceanic emissions and anthropogenic sources such as biomass burning, agricultural applications, leaded gasoline combustion, and structural fumigations. The relative contributions of anthropogenic and natural emissions to the total atmospheric MB are not well known (Butler and Rodriguez 1996). Hanwant (1993) estimated that man-made sources account for 35% and natural sources account for 65%. However, air and water concentration analysis of MB and methyl chloride in the southern ocean (latitudes 45°-67° S, longitudes 144°-l39° E), suggested that there is no significant production of these gases in this region (Y von-Lewis et al. 2004). Biomass burning represents a major contribution of bromine in the stratosphere and can be compared to the amount produced by ocean emissions and pesticides (Mano and Andreae 1994) Methylation of soil organic matter may be the major pathway for MB degradation (Tao and Maciel 2002). This was confirmed by Xu et a1. (2003), who found that incorporation into soil organic matter is the predominant pathway for transforming 1,3-D and MB in soil. Fulvic acid, one of the humic components of soil organic matter, plays a significant role in this process. According to the USDA 2004 annual report (Anonymous 2004b) hydrolysis is the major transformation pathway for fumigants; and soil pH, moisture, and organic content greatly affect this process. Even though fumigants are potent biocides, bacteria can be involved in MB degradation by directly oxidizing MB during the furrrigation process (Miller et al. 1997). Furthermore, biodegradation of metham sodium by resistant Gram positive bacteria has been found in a field where this fumigant has been used for the last decade (Warton et al. 2001). Little attention has been paid to MB due to its low concentration in the atmosphere (10 part per trillion) until recently, when stratospheric ozone depletion by MB was recognized. The ozone layer in the stratosphere is essential for protection of life on the planet from incoming ultra violet radiation from the sun (Roback 1996). Although MB has a short lifetime of one year in the atmosphere, it contains bromine, a powerful ozone removal compound, leading to high ozone depletion potential (ODP). When UV radiation strikes MB in the stratosphere, free bromine radicals are released. These combine with oxygen radicals released when UV radiation strike 02 and 03 (a natural process), making oxygen unavailable for combining with 02 to form 03. This process disrupts the normal stratospheric balance between 02 and 03 (Bird 2005). The Montreal Protocol on Substances that Deplete the Ozone under the United Nations Development Program (UNDP), ratified by 166 countries, is in charge of setting rules and regulations for safe country development. The Montreal Protocol defined MB as a chemical that contributes to depletion of the earth’s ozone layer. Thus, manufacture and importation of MB will be phased out in developed countries for general agricultural uses based on 1996 levels. The reduction schedule is as follows: 25% reduction in 1999, 25% reduction in 2001 , 20% reduction in 2003, and complete phase out in 2005 10 (Anonymous 2004b). Developing countries have agreed to reduce most chlorofluorocarbon (CFC) consumption by 50% by January 2005 and to firlly eliminate these by January 2010 (Anonymous 2004c). Many agricultural industries will be affected by the loss of MB. The ornamental and nursery industry in California is estimated to lose $129 million and North Carolina $14 million (Carpenter 2000). Michigan is the sixth largest nursery and floriculture producing state, with sales of $629 million in 2002 (Anonymous 2002). Even though current application cost is approximately $4,000 per hectare, the ornamental industry still relies on this product to achieve maximum yield and quality. Michigan used 220 metric tons of MB in 2000. The target objective of MB application varies between industries; for example, the herbaceous perennial ornamental industry targets first nematodes, then weeds and ftmgal diseases, and treats 90% of their planted surface with MB. On the other hand, the woody ornamental seedling industry focuses more on fungi, then weeds, and finally nematode control, applying the product to 75% of their acreage (Bird 2004). In the turf industry, MB fumigation is used primarily to eliminate weeds and to ensure genetic purity of turfgrasses, which is especially important in reconstruction and regressing of existing sites (Unruh et al. 2002). Growers obtain excellent weed, nematode, and fungi control with MB and depend on this fumigant to obtain desired yields in intensive and high value crop systems. MB phase out will affect agricultural production significantly if no effective alternatives are found. At the moment, there are few fumigants that can substitute for MB. According to Duniway, (2002), “None of the chemical alternatives currently registered and available has the full spectrum of activity and versatility of MB as a pre- 11 plant soil finnigant. Methyl iodide and propargyl bromide probably have activity that most closely parallels that of MB in soil”. Studies confirm that no EPA-registered fumigant alternative to MB, applied alone or in combination for preplant turf soil fumigation, exists (Unruh et al. 2002). Alternative fumigants Fumigants that may not deplete the ozone layer have been studied thoroughly in recent years. Some prospective chemical alternatives to MB are metham sodium (MS), chloropicrin (CP), 1,3-dichloropropene (1,3-D), dazomet, methyl iodide also called iodomethane (Mel), propylene oxide (PPO), propargyl bromide, and sodium azide (Table 2). MS is a broad spectrum biocide and may be used to control soil fungi, insects, nematodes, and weeds, although it is most effective as an herbicide. It decomposes to methyl isothiocyanate (MITC) which is the biocidal molecule. The transformation to MIT C is the cause of inconsistent pest control (Unruh et al. 2002). MS has not always provided consistent control of soil-bome diseases and pests, and does not have the penetration capacity of MB (Messenger and Braun 2000). Control failure was also attributed to a build up of microorganisms that can degrade the chemical. Microorganisms with resistant stages were involved in the biodegradation of MITC in a field where MS has been used extensively for the past decade (Warton et al. 2001). Unruh (2002) applied MS (748 L/ha), MS plus CP (748 L/ha: 168 kg/ha), tarped and not tarped, and MS plus 1,3-D (748 plus 140 L/ha) and found that all treatments provided acceptable weed control; however, MS plus CP covered with a plastic tarp for 12 48 h was the best MS treatment. This treatment controlled grass and broadleaf species equal to MB; however, unacceptable sedge species control was observed. MS applied alone failed to control redroot pigweed (Amaranthus retroflexus L.); however, MS plus combinations provided control (Unruh et a1. 2002). That was confirmed by Fennimore et al. (2003), who found that MS (42%) was less effective than MB:CP on weed seed control. Among MB, Mel, propargyl bromide, 1,3-D and MS and the combinations of these with CP, MS and propargyl bromide were the most effective in controlling yellow nutsedge (Cyperus esculentus L.) (Hutchinson et al. 2003). The tarp laid immediately after application has an important role in firmigant efficacy. The use of both MS at 468 Uha and Telone C-17 (1,3-D plus 17% CP) at 126 um provided good pest control and had high plant yield and vigor when covered with a polyethylene film immediately after treatment. The same treatment not covered with polyethylene film but sealed with a mechanical soil cultipacker provided poor control of weeds (Csinos et al. 1997). Application of MS (748 Uha) followed by CP 99% (168 kg/ha, shank injected) without tarp provided grass control similar to MB, but it was reduced at five weeks afier treatment (Unruh et a1. 2002). In addition, MS treatments tarped after application improved weed control compared to the same treatment non tarped (Westerdahl et al. 2002). Dazomet is another pesticide that transforms into MITC. It is used for pre-plant control of weeds, nematodes, and soil diseases in nurseries, greenhouses, turf, and omamentals. The physical characteristics of dazomet make it difficult to use. It is formulated as a light powder, which is subject to drift. Equipment must be sealed to limit spillage (Unruh et al. 2002). Dazomet and MS are highly dependant on soil preparation 13 and moisture for activation and uniform distribution of MITC. Inconsistent results are often obtained because of improper methodology (Annis and Waterford 1996). Treatments with both dazomet 99% (392 kg/ha) and CP 99% (168 kg/ha) or dazomet 99% (392 kg/ha) and l,3-D 98% (140 L/ha) provided 80% and 51% control of purple nutsedge (Cyperus rotundus L.) respectively, but these treatments declined in nutsedge control within 11 months after treatment (Unruh et al. 2002). All dazomet combinations controlled bermudagrass (Cynodon dactylon (L.) Pers.) 96 to 100%. Carpetweed (Mollugo verticillata L.) was controlled as well as in MB with dazomet plus CP, however the other combinations were not as efficient. The efficacy of dazomet and combinations against winter annual weeds was similar to that of MB (Unruh et al. 2002). 1,3-dichloropropene (1,3-D) is registered as a nematicide. It is not known to have fungi and insects control. High rates, 1,3-D have some efficacy against a few weeds. This fumigant does not deplete the ozone layer and has a short half-life of 7 to 12 hours. (Messenger and Braun 2000). It has restricted usage in California due to residue problems in air samples collected in urban areas adjacent to farms. This product has been listed in California as a carcinogen (Ristaino and Thomas 1997). 1,3-D plus oxadiazon (140 L/ha, 168 kg/ha) did not control yellow nutsedge (Cyperus esculentus L.) , purple nutsedge, bermudagrass, or carpetweed, but provided 83% control of the winter annual weed species (Carolina geranium - Geranium carolinianum L, cutleaf eveningprimrose - Oenothera Iaciniata Hill, wandering cudweed — Gamochaeta pensylvanica (Willd.) Cabrera), 71% control of alexandergrass (Urochloa plantaginea (Link) R.D. Webster) and broadleaf signalgrass (Urochloa platyphylla (Nash) R.D. Webster), and 80% control of tall morrringglory (Ipomoea purpurea (L.) 14 Roth), sharppod momingglory (Ipomoea cordatotriloba Dennst.), and redroot pi gweed (Unruh et al. 2002). Application of Telone C-l7 (1 ,3-D 83%, CP 17%) resulted in an effective concentration to give 50% mortality for yellow nutsedge control, similar to that of Mel applied alone (Hutchinson et al. 2003). In one location, application of 1,3-D (93 L/ha) followed by MS (349 L/ha) and Telone C-17 (93 Uha) followed by MS (349 L/ha) controlled oldfield toadflax (Nuttallanthus canadensis (L.) BA.) and purple cudweed (Gamochaeta purpurea (L.) Cabrera) as well as MB plus CP standard. Only combination treatments of MS and 1,3-D, CP and 1,3-D were equivalent to MB for control of cutleaf eveningprimrose. In the second location MS, 1,3-D plus CP plus MS and 1,3-D plus MS were not different from MB plus CP standard treatment for control of purple cudweed, Oldfield toadflax and corn spur'ry (Spergula arvensis L). In addition all treatments except CP were equal to MB plus CP standard in weed control for corn spurry, cutleaf eveningprimrose, yellow nutsedge, henbit (Lamium amplexicaule L.) and annual sedge (Cyperus compressus L.) in the second year experiment (Csinos et al. 2000). Gilreath et al. (2005) found that MB plus CP consistently controlled Cyperus spp. better than the other firmigants; however, most of the MB alternatives that included 1,3-D reduced Cyperus spp. populations compared to the non-firmigant control. Naproparnide at 4.50 kg/ha, metolachlor at 2.25 kg/ha, and pebulate at 4.5 kg/ha, applied three weeks before planting and incorporated, did not interact with different fumigants applied the same day and had excellent control of goosegrass (Eleusine indica L.), southern crabgrass (Digitaria ciliaris L.) and smooth pigweed (Amaranthus hybridus L.), but only poor to fair control of purple nutsedge (Gilreath et al. 2004). However, the same author concluded in 2005, that 1,3-D (325 kg ai/ha) plus CP (67 kg ai/ha) combined with 15 pebulate consistently reduced purple nutsedge density more than any other fumigant- herbicide combination during the early stages of the crop at 5 WAT. In addition, improved efficacy was achieved when pebulate was deep incorporated (Gilreath and Santos 2005). This result is consistent with the research done by the same author the year before where high doses and deep incorporation of naproparnide and metolachlor provided the best weed control; Telone C-1 7 had some purple nutsedge control but still was insufficient to achieve maximum yield (Gilreath and Santos 2004). Efficacy of 1,3-D plus CP (60%, 32%) and CP BC on seed control in little mallow (Malva parviflora L.) or prostrate knotweed (Polygonum aviculare L.) did not differ from MB:CP (67:33) (F ennimore et al. 2003). Chloropicrin (CP) may be used to control nematodes, bacteria, fungi, insects, and weeds. CP has been shown to be very effective as a fungicide when compared to MB (Messenger and Braun 2000). CP has marginal activity against some nematodes and weeds (Ristaino and Thomas 1997); for this reason CP is combined extensively with MB, and more recently with 1,3-D (Unruh et al. 2002). Increased concentration and time exposure with CP reduced common chickweed (Stellaria media (L.) Vill.), common purslane (Portulaca oleracea L.), and prostrate knotweed seed viability. This was confirmed with a field experiment (Haar et al. 2003). CP at 224 kg/ha provided consistently equivalent weed control to MB 67% plus CP 33% at 392 kg/ha in common chickweed, little mallow, common purslane, and prostrate lmotweed (Kabir et al. 2004). CP does not degrade the ozone layer, but it is a potential groundwater contaminant (Messenger and Braun 2000). 16 Weed seed population is an important aspect to consider in weed control management to reduce weed population in succeeding years. Laboratory studies showed that CP concentration and time of exposure have a direct relationship with seed viability. Higher concentration and longer exposure resulted in reduced percentages of viable seeds of common chickweed, common purslane and prostrate knotweed. Field studies with CP applied at 83, 110, 138, 165 and 220 kg/ha supported this conclusion, but seeds of little mallow and redstem filaree (Erodium cicutarium (L.) L'Hér. ex Ait.) were not affected (Haar et al. 2003). Iodomethane (MeI) is chemically analogous to MB and it is not currently registered. MeI is destroyed rapidly in the troposphere with about one week of atmospheric life (Ristaino and Thomas 1997). Research done with Mel confirmed that it is a strong candidate to replace MB. MeI is a better methylating agent than MB; it is rapidly destroyed by UV light and therefore unlikely to be involved in stratospheric ozone depletion. In laboratory and field studies MeI was equal to or better than MB in controlling soilbome pathogens and weeds (0hr et al. 1996). It is thought that he price of Mel will be significantly more expensive than MB. However, the current Mel price could decrease in response to higher production and increased demand from agricultural uses (Hueth et al. 2000). Mel controlled grasses, sedges, and broadleaf weeds present at two locations under different environmental conditions, but did not control redroot pi gweed (Unruh et al. 2002). Zhang et al.(l997), however, found that redroot pigweed was the most sensitive and yellow nutsedge was the least sensitive to Mel. Furthermore, Mel was as potent as MB for redroot pi gweed but more potent than MB for annual ryegrass (L. multiflorum 17 Lam), velvetleaf (Abutilon theophrasti Medik.), common lambsquarters (Chenopodium album L.), common purslane, wild mustard (Brassica kaber (DC.) L.C. Wheeler), yellow nutsedge and purple nutsedge. Under field conditions, Mel at 280 kg/ha killed all species tested except eastern black nightshade, Solanum ptychanthum Dunal (Zhang et al. 1997). Mel controlled velvetleaf and annual ryegrass in different soil moisture, temperature, and soil texture. The optimal soil moisture to control those weeds was 14% water content (WM) and the results were obtained with temperatures above 20 C. Time to 100% mortality of weeds was 24 h for Mel fumigation and 36 h for MB when 200 mole of fumigant was used (Zhang et al. 1998). Propargyl bromide (PB) half-life in soil ranged from 1.2 to 5 days, depending on the soil type. Under typical agricultural soil conditions, it diffuse readily, a desirable characteristic for fumigants. Due to its short degradation time in soil, PB should not pose a serious environmental risk (Yates and J ianying 1998). The concentration of PB required to control 50% of bamyardgrass (Echinochloa crus-galli) seeds was 18 fold higher for muck soil compared to sandy loam and loamy sand soils. The low efficacy in muck soil was a result of rapid degradation and high adsorption of the compound in the soil. Propargyl brorrride’s half-life was 7 hours in muck soil, compared to 60 and 67 hours in sandy loam and loamy sand, respectively (Ma et al. 2001). Degradation rate of propargyl bromide increased with increasing soil organic matter content and the degradation coefficient (k) value was correlated to the organic carbon content (Papiernik et al. 2002). Propargyl bromide and MS were the most efficacious firmigants tested in controlling yellow nutsedge tubers. MB, Mel, PB, 1,3-D and MS applied with 17% CP resulted in a 18 synergistic interaction; MB had more benefit and PB had the least benefit with this combination (Hutchinson et a1. 2003). Propylene oxide (PPO) is currently registered for post harvest application and industrial uses. The Environmental Protection Agency (EPA) has classified propylene oxide as a Group B2, probable human carcinogen (Anonymous 2005). Combination treatments of PPO plus MS resulted in superior weed control compared with PPO or MS alone, indicating a synergy between these compounds (Rodriguez-Kabana and Simmons 2004). PPO controlled germination of momingglory (Ipomoea spp.) seed at rates higher than 406 kg ai/ha and yellow nutsedge germination was inhibited at all rates evaluated (227 to 912 kg ai/ha) (Belcher et al. 2004). Sodium azide is a highly-effective, broad-spectrum firrrrigant that controls soil- bome weeds, nematodes, fungi, and bacteria (Richards 2004). Effective weed control was obtained with rates higher than 85 kg ai/ha. Sodium azide at 57 and 84 kg ai/ha controlled root diseases and weeds similarly to MB (Rodriguez-Kabana et a1. 2004). Weed control by sodium azide at 112 kg ai/ha was as effective as MB at one experiment location (Oxnard) but not in the other (Watsonville), but when combined with CP was equivalent to MB in both locations (Kabir et al. 2004). InLine (1,3-D 61% plus CP 33%) at 236 and 393 L/ha, CP (95%) at 130 and 200 L/ha, and Vapam (MS 42%) at 420 and 700 L/ha applied by drip irrigation systems provided equal or better weed control than equivalent rates applied by shank injection (F ennimore et al. 2003). There was no nutsedge control where Telone C-35 (1 ,3-D 65% plus CP 35%) was applied broadcast, but when applied in-bed or broadcast followed by in-bed application of CP, nutsedge control was comparable to MB (Gilreath et a1. 2002). 19 Alternative fumigants, Mel plus CP, Telone II, Telone C35 with high density polyethylene, and Telone C35 with a virtually impermeable film were as effective as MB in reducing seed viability of field bindweed (Convolvulus arvensis L.), annual momingglory, johnsongrass (Sorghum halepense L.), and common purslane. However, none of the treatments reduced seed viability of little mallow. In addition, alternative treatments required similar amounts of hand weeding as MB treatment (Shrestha et al. 2004) Economic impact of the MB phaseout was evaluated by other authors. Hueth et al. (2000) analyzed the economic aspect of MB being replaced by Mel, which is a strong candidate to replace MB from a technical point of view. Sources of raw material, product cost, and supply-demand analysis is presented. Even though the economic aspect and the cost analysis play an important role in defining which product or production management will be adopted, this point is beyond our scope, and it is not covered in this research. Alternative methods can be utilized to reduce agricultural fumigant emissions into the atmosphere. Papierrrik et al., (2004) applied 1,3-dichloropropene (1,3-D), MS, and propargyl bromide to soil beds via drip irrigation at 15 cm depth and found that cumulative emissions of MITC and 1,3-D were decreased approximately 80% from the soil by tarping the bed with virtually impermeable film (VIF) rather than high-density polyethylene (HDPE). In addition, tarping the bed with l-mil (HDPE) or (VIP) resulted in a more effective fumigant vapor containment (Haar et al. 2003). Another way to reduce fumigant emissions is by chemical reaction; Mel not only is weakly sorbed, but also is highly mobile in Salinas clay loam and Arlington sandy loam soils (Park et al. 20 2004). Emissions of this gas, however, can be controlled by spraying thiourea on the soil, thus reducing the half-life of Mel from 300 hours to a few hours (Zheng et al. 2004). Other weed control methods: Non-chemical There are non-chemical alternatives to MB. For instance, soil may be treated with steam, which controls most soil-bome pathogens and weeds. There are several systems for applying steam to soil. However, the use of steam as a soil sterilant is limited by the expense of application, and by the difficulty of use. It can be utilized successfully in some situations such as high value crops or in a special disease control program (Messenger and Braun 2000). Soil solarization is the process of raising soil temperature by tarping the soil during the warm season. The heat created by visible light converted to infrared energy that can not pass through the tarp raises the temperature and kills organisms in the soil. Yields of strawberry in solarized soil were similar to those of MB treated soil (Rieger et al. 2001). This method is compatible with other physical, chemical, and biological methods (Messenger and Braun 2000). Common purslane, tumble pigweed (Amaranthus albus L.), and black nightshade seeds were susceptible to temperatures above the threshold temperature of 60 C using double-tent solarization. Soils in small containers reached higher temperatures and were maintained at high temperature (above 60 C) for a longer period of time, than soil in larger containers. This technique can be used by commercial growers to effectively and inexpensively produce weed-free soil and potting mixes in warmer climate areas (Stapleton et al. 2002). Arbuscular mycorrhiza fungi were not reduced immediately after solarization but were reduced eight months after 21 application. Solarization apparently reduces arbuscular mycorrhiza fungi by reducing the weed pepulation that maintained infective propagules over the winter (Schreiner et al. 2001). Crop rotation can decrease pathogen inoculurn in soil by alternating resistant crop and susceptible crops. The drawback is the time needed to be effective and the crop is often rotated with non-cash crops contributing little to farm income (Messenger and Braun 2000). Biological control can be used as a part of an integrated pest management program to target specific pathogens and pests (Ristaino and Thomas 1997). Relatively little research on cover crops has been conducted on ornamental crops compared to corn, soybean, and horticultural produce. Cover crops can suppress weeds through competition for light and nutrients or allelopathy (Messenger and Braun 2000). Cover crop and management system combinations are capable of decreasing weed pressure. Brassicaceae cover crops also can exert a weed-suppresive effect through the release of isothiocyanates from glucosinolates afier decomposition of plant tissues (Angelini et al. 1998). This effect, which also can reduce soil borne pathogens and nematodes, is often referred to as bio-fumigation (Kirkegaard and Matthiessen 2004; Melander et al. 2005) Although integrated pest management is a valid option in controlling pests, chemical pesticides represent the most common currently used tool for pest control. Large numbers of pests can attack a large number of species making it difficult for growers to reduce the amount of pesticides applied. Since crop appearance is important in the ornamental industry, preventative pesticide applications are heavily used (Tatum and Thompson 1993). Biological weed control has not been used due to the diversity of 22 weeds present in nurseries and the specificity of biological control in weeds (Knox et al. 2003). Other weed control methods: Herbicides Technology such as combinatorial chemistry developed in the last decade, allows the production of thousands of chemicals, creating libraries of information about new molecules; these molecules can not only be tested for pharmaceutical purposes but also for herbicide activity with “high throughput screens”, which test for herbicide activity. However, in the last decade fewer new herbicidal molecules have been released in the market. Companies are reluctant to release a new compound into the market because they have to compete with glyphosate, a product that is widely known and accepted and it is a very cost effective herbicide (Penner 2005). Herbicide selectivity on crops depends on a wide range of factors and the complex interactions between them. Herbicide characteristics such as absorption, formulation, mode of action, translocation, herbicide placement, and plant factors like stage of growth, growing point location, leaf properties, and metabolism are important factors that determine herbicide selectivity. Weed control by cultivation can potentially damage herbaceous perennial species because storage organs are located just below ground and shallow roots are common. Herbicides can reduce weed control costs; however, little information about herbaceous perennial tolerances to herbicides is available and few herbicides are labeled for use in this production system (Calkins et al. 1996). 23 Tolerance of herbaceous perennials to pre and post emergent herbicides is highly dependent on species (Calkins et al. 1996; Derr and Salihu 1996). Response to isoxaben was different when applied to dwarf burning bush (Euonymus alatus (Thunb) Sieb. ‘Compacta’) foliage and in wintercreeper (Euonymusfortunei (Turcz.) Hand. Mazz. ‘Colorata’) even though they share the same genus (Salihu et al. 1999). Reductions in quality were often associated with reduction in size. Furthermore, herbicide injury was greater in younger plants compared to established plants, and also injury was greater in those plants actively growing compared to the dormant plants (Calkins et al. 1996; Salihu et al. 1998). Herbicide crop selectivity is influenced by crop growth stage. More terbacil was absorbed and translocated to the leaves of field violet with 3 leaves, than field violet with 12 leaves. In addition, most 14C in roots (77%) and foliage (57%) in the 12 leaf plants was in polar metabolites. These characteristics make the plants with 3 leaves susceptible to terbacil, while plants with 12 leaves are tolerant to the herbicide (Rogers et al. 2001). Regardless of herbicide toxicity, timing of application was important in injury occurrence. Preemergence applications were sometimes more toxic than postemergence because some buds were initiated prior to the preemergent herbicide application, thus causing injury. For this reason it may be better to apply preemergent herbicides in the fall when plants are dormant (Calkins et al. 1996). A safener is a substance that reduces toxicity of herbicides to crop plants by physiological mechanisms (Weed Science Society of America 2002). One of seven corn hybrids exhibited an increase in tolerance when the safener, isoxadifen-ethyl, was applied with foramsulfuron (Bunting et al. 2004). Rogers et al. (2001) investigating terbacil 24 metabolism in strawberry plants, concluded that fluazifop-P inhibited detoxification of terbacil by strawberry. Injury potential can be affected by herbicide formulation. The wettable powder and emulsifiable concentrate formulations of oxadiazon caused greater injury than the granular formulation to 'Compacta' Japanese holly and 'Hershey Red' azalea 30 days after treatment (Derr and Salihu 1996). Briggs and Whitwell (2002) found that prodiarnine granular formulation caused greater injury to sensitive taxa compared to wettable granule and suspension concentrates. Even herbicides with the same active ingredient but different formulations can differ in crop injury. Different injury rates were observed in white spruce (Picea glauca (Moench) Voss.) trees treated over the top with three different formulations of glyphosate (Mihajlovich et al. 2004). Mulches treated with different pre-emergent herbicides can prolong herbicide activity. Oxyfluorfen, oryzalin, and isoxaben applied to different mulches provided excellent weed control. Bark treated with oryzalin had significantly greater efficacy than bark treated with oxyfluorfen or isoxaben. Furthermore, Douglas fir bark treated with oryzalin provided increased efficacy and extended efficacy versus untreated Douglas fir bark or oryzalin alone (Mathers and Case 2002). Terbacil belongs to the uracil chemical family. This herbicide inhibits photosynthesis by binding to the Qb-binding niche on the D1 protein of the photosynthesis II complex. Terbacil controls many annual broadleaf and grass weeds including common chickweed, henbit, common lambsquarter, tansymustard, prickly lettuce, crabgrass spp., downy brome, foxtail spp., ryegrass, and bamyardgrass, with partial control of nutsedge (Weed Science Society of America 2002). 25 Irnazapic, imazaquin, and halosulfuron are herbicides that block acetolactate synthase (ALS). The first two belong to the imidazolinone family, while halosulfuron belongs to the sulfonylurea chemical group. These herbicides inhibit acetolactate synthase (ALS), a key enzyme in the biosynthesis of the branched-chain amino acids isoleucine, leucine, and valine. Irnazapic and imazaquin control many annual broadleaf weeds such as pigweed spp., common ragweed (Ambrosia artemisiifolia L.), common lambsquarters and many annual and perennial grasses including panicum (Panicum spp.), johnsonsgrass, goosegrass, foxtail spp. (Setaria spp.), crabgrass (Digitaria spp.), and purple and yellow nutsedge. Injury symptoms in plants include grth inhibition, chlorosis of meristematic areas, and general chlorosis and necrosis (Weed Science Society of America 2002). Irnidazolinone herbicides are anionic at higher pH, thus more herbicide was found in soil solution at higher pH. The increase in adsorption at lower pH could be the cause of the slower degradation observed at pH 5. Average imazaquin half life is 8 weeks (Weed Science Society of America 2002). However, Aichele et al. (2005) estimated imazaquin half-life at 191 weeks. Halosulfuron controls velvetleaf, cocklebur (Xanthium spp.), and numerous other broadleaves, as well as Cyperus species (nutsedge). Rapid grth inhibition and chlorosis are the main symptoms. Halosulfuron applied preemergence does not inhibit seed germination, but as soon weeds emerge chlorosis and necrosis is observed. Halosulfuron has a short to moderate persistence in the soil of about one to two weeks (Weed Science Society of America 2002). Flumioxazin belongs to the N-phenyphtalimide chemical family, is used pre- emergent, and controls broadleaf weeds such as common ragweed, common 26 lambsquarters, velvetleaf, pigweed, and black nightshade (Solanum nigrum L.). The mode of action is believed to be inhibition of protoporphyrinogen oxidase, an enzyme important in the synthesis of chlorophyll; porphyrins accumulate in suscepltible plants causing photosensibilization, which leads to membrane peroxidation. Plants emerging from treated soil become necrotic and die shortly after sunlight exposure (Weed Science Society of America 2002). Flumioxazin affected photosynthesis, as indicated by a reduction in foliar chlorophyll and carotenoid contents, gas exchanges and alteration in plastid structure. As a result plant growth was strongly inhibited (Saladin et al. 2003). Among the selective herbicides applied immediate postemergence to strawberry transplants, flumioxazin and napropamide provided the most consistent control of bur clover (Medicago polymorpha) and shepherd's purse (Capsella bursa-pastoris) (Manning and Fennimore 2001). Hydrolysis and photolytic degradation rate increased with the pH increase, and the degradation products formed by photolysis were the same as those formed by hydrolysis (Kwon et a1. 2004). Isoxaben belongs to the benzamide chemical family. Isoxaben can be applied in established turf, omamentals, nursery stock, non-bearing fi'uit trees, and Christmas tree plantations. Isoxaben controls common chickweed, clover spp., dandelion (T araxacum oflicinale G.H. Weber ex Wiggers), henbit, prostrate knotweed, plantain spp (Plantago spp), and many other annual broadleaf weeds. If applied preemergence, susceptible weeds fail to emerge. Isoxaben inhibits cell wall biosynthesis. Broadleaf weeds show stunting, reduced root growth, root hair distortion, and root clubbing (swelling of meristematic and elongation zones), symptoms similar to those caused by dinitroaniline herbicides. Isoxaben persistence in soil is moderate to long, with a half life of 2 to 4 27 months in field conditions; weed control extends to 6 months (Weed Science Society of America 2002). Trifluralin belongs to the dinitroaniline chemical family. It is labeled for more than 80 crops. It is used on nursery stock, ornamental shrubs, groundcovers and established flowers. Trifluralin controls annual grasses and some small-seeded broadleaf weeds. This herbicide binds to tubulin, the major microtubule protein, resulting in absence of the spindle apparatus, thus preventing alignment and separation of chromosomes. Susceptible weeds fail to emerge, due to inhibition of coleoptile growth or hypocotyls unhooking. Roots appear stubby with thickened tips. The average life time in soil is 45 days for most soils, but depends on the temperature. Residues can persist to the following year with the possibility of crop injury, especially on small grains and corn (Weed Science Society of America 2002). Trifluralin was one of the highest volatile flux losses with 14.1% compared to metolachlor, and atrazine (Rice et al. 2002). Hypothesis / Plan of research Research on MB alternatives has been conducted with strawberries, tomatoes, peppers, tobacco, and cucumber in California where MB is heavily used, but relatively little amount has been done in omamentals and conifers. Furthermore, this information is not applicable to Michigan because of different environmental conditions and these results cannot be directly extrapolated to ornamental plants. Thus, MB research is needed in Michigan to improve our knowledge about alternative products that can replace MB in the ornamental industry in order to reduce the impact of MB phase out. 28 One of the primary reasons growers apply soil fumigants in nurseries and greenhouses is weed control. In addition, as Calkins (1996) and Derr (1996) stated, herbaceous perennial tolerance to herbicides is highly dependent on species. Thus, knowledge about herbicide efficiency and ornamental crop tolerances will influence weed management decisions, thus increasing the range of herbicide uses for weed control and reducing the amount of fumigant applied to the field. Two approaches have been proposed to find alternatives to MB. The first is to find similar broad spectrum fumigants as MB that have potential to replace it and do not have a negative effect on the ozone layer. Second, find products that specifically control certain pests and by adding these effects we achieve a broad spectrum as with MB. In our case we evaluate herbicides that can replace MB for weed control. The objectives are, 1) evaluate the effects of broad spectrum and ozone-harmless fumigants on weed control and crop response, 2) evaluate herbicides for weed control, and herbaceous perennials and conifers response to those herbicides, and 3) evaluate the efficacy of selected herbicides on selected noxious weeds. 29 References Aichele, T.M., and D. Penner. 2005. Adsorption, desorption, and degradation of imidazolinones in soil. Weed Technol. 19:154—159. Angelini, L., L. Lazzeri, S. Galletti, A. Cozzani, M. Macchia, and S. Palmieri. 1998. Antigerminative activity of three glucosinolate-derived products generated by myrosinase hydrolysis. Seed Sc. and Technol. 26(3):771-7 80. Annis, RC, and OJ. Waterford. 1996. Alternatives - Chemicals, p. 276-314, In C. H. Bell, et al., eds. The methyl bromide issue, Vol. 1. John Wiley & Sons. Anonymous. 2002. Census of agriculture - State Data [Online]. Available by USDA - National Agricultural Statistics Services http://www.nass.usda.gov/census/. Anonymous. 2004a. Agricultural chemical uses 2003. Nursery and floriculture summary [Online]. Available by United States Dept. of Agr. - National Agr. Stat. Serv. http://u_sda.mannlib.comell.edu/reports/nassr/other/pcu-bb/agcn0904.pdf (posted September 2004). Anonymous. 2004b. USDA - ARS Methyl Bromide Research [Online] http://www.ars.usda.gov/is/mb/mebrweb.htrn. Anonymous. 2004c. United Nations Development Programme - The Vienna Convention and the Montreal Protocol [Online] http://www.undp.org/seed/eap/montreal/montreal.htm. Anonymous. 2005. EPA - Technology Transfer Network Air Toxics Website [Online] http://www.epggov/ttn/am/hlthef/proo-oxi.htrnl. Belcher, J.L., R.H. Walker, and R. Rodriguez-Kabana. 2004. Acroline and propylene oxide: Alternatives to methyl bomide for weed control in turf. Annu. Intl. Res. Conf. on Methyl Bromide Alternatives and Emissions Reductions, Orlando, Florida. Bird, G. 2005. personal communication. Bird, G.W. 2004. Methyl bromide regulation update with special reference to Michigan. Michigan Farm Bureau, Lansing. 30 Briggs, J ., and T. Whitwell. 2002. Effect of prodiamine formulation on injury to omamentals. SNA Res. Conf. 47:384-388. Bunting, J .A., C.L. Sprague, and DE. Riechers. 2004. Physiological basis for tolerance of com hybrids to forarnsulfuron. Weed Science 52:711-717. Butler, J .H., and J .M. Rodriguez. 1996. Methyl bromide in the atmosphere, p. 28-83, In C. H. Bell, et al., eds. The methyl bromide issue, Vol. 1. John Wiley & Sons. Calkins, J .B., B.T. Swanson, and D.L. Newman. 1996. Weed control strategies for field grown herbaceous perennials. J. environ. hortic. 14 (4):221-227. Carpenter, J. 2000. The economic impact of the scheduled U.S.phaseout of methyl bromide. National Center for Food and Agriculture Policy. Csinos, A.S., W.C. Johnson, A.W. Johnson, D.R. Sumner, R.M. McPherson, and RD. Gitaitis. 1997. Alternative fumigants for methyl bromide in tobacco and pepper transplant production. Crop Prot. 16:585-594. Csinos, A.S., D.R. Sumner, W.C. Johnson, A.W. Johnson, R.M. McPherson, and CC. Dowler. 2000. Methyl bromide alternatives in tobacco, tomato and pepper transplant production. Crop Prot. 19:39-49. Derr, J .F., and S. Salihu. 1996. Preemergence herbicide effects on nursery crop root and shoot growth. J. environ. hortic. 14:21 0-2 1 3. Duniway, J .M. 2002. Status of chemical alternatives to methyl bromide for pre-plant fumigation of soil. Phytopathology 92:1337-1343. Fennimore, S.A., M.J. Haar, and HA. Ajwa. 2003. Weed control in strawberry provided by shank and drip-applied methyl bromide alternative fumigants. Hortscience 38(1):55-61. Gilreath, J .P., and BM. Santos. 2004. Herbicide dose and incorporation depth in combination with 1,3-dichloropropene plus chloropicrin for Cyperus rotundus control in tomato and pepper. Crop Prot. 23:205-210. 31 Gilreath, J .P., and BM. Santos. 2005. Efficacy of 1,3-Dichloropropene plus chloropicrin in combination with herbicides on purple nutsedge (Cyperus rotundus) control in tomato. Weed Technol. 19:137—140. Gilreath, J .P., J .W. Noling, and BM. Santos. 2004. Methyl bromide alternatives for bell pepper (Capsicum annuum) and cucumber (Cucumis sativus) rotations. Crop Prot. 23 :347-35 1 . Gilreath, J .P., J .M. Mirrusso, J .W. Noling, J.P. Jones, and RR. Gilreath. 2002. Effectiveness of broadcast application of Telone C-35 and Tillarn + Devrinol in tomato. Proc. Annu. Meet. Fla. State Hort. Soc. 115:276-280. Gilreath, J .P., B.M. Santos, T.N. Motis, J .W. Noling, and J .M. Mirusso. 2005. Methyl bromide alternatives for nematode and Cyperus control in bell pepper (Capsicum annuum). Crop Prot. In Press, Corrected Proof. Haar, M.J., S.A. Fennimore, H.A. Ajwa, and C.Q. Winterbottom. 2003. Chloropicrin effect on weed seed viability. Crop Prot. 22:109-115. Hanwant, BS. 1993. An investigation of the atmospheric sources and sinks of methyl bromide. AGU. Geophysical res. letters 20: 133-136. Hueth, B., B. McWilliams, D. Sunding, and D. Zilberrnan. 2000. Analysis of an emerging market: can methyl iodide substitute for methyl bromide. Rev. agric. econ. 22:43- 54. Hutchinson, C.M., M.E. McGiffen, J .J . Sims, and J .0. Becker. 2003. Fumigant combinations for Cyperus esculentus L. control. Pest Mgt. Sci. 60:369-374. Kabir, Z., S.A. Fennimore, and H. Ajwa. 2004. Weed seed viability and weed control efficacy of alternative fumigants to MBr: Sodium azide and Plantpro alone or in combination with chloropicrin. Weed Science Society of America, Kansas. Kirkegaard, J ., and J. Matthiessen. 2004. Developing and refining the biofumigation concept, pp. 2—3 lst International Symposium “Biofumigation: a possible alternative to methyl bromide. Res. Inst. for Ind. Crops of the Italian Ministry of Agricultural and Forestry Policies, Firenze, Italy. 32 Knox, G., T. Momol, R. Mizell, and H. Dankers. 2003. Crop timeline for nursery-grown evergreens and shade trees. Prepared for the US EPA. Office of pesticides programs. North Florida Res. and Educ. Ctr, Inst. of food and Agr. Sci., University of Florida, Quincy. Kwon, J .W., K.L. Armbrust, and TL. Grey. 2004. Hydrolysis and photolysis of flumioxazin in aqueous buffer solutions. Pest Mgt. Sci. 60:939-943. Ma, Q.L., J .Y. Gan, J .0. Becker, S.K. Papiemik, and SR. Yates. 2001. Evaluation of propargyl bromide for control of bamyardgrass and Fusarium oxysporum in three soils. Pest Mgt. Sci. 57:781-786. Mamring, GR, and SA. Fennimore. 2001. Evaluation of low-rate herbicides to supplement methyl bromide alternative firmigants to control weeds in strawberry. Hort. Technol. 11:603-609. Mano, S., and MO. Andreae. 1994. Emission of methyl bromide from biomass burning. Science 263: 1255-1257. Mathers, H., and L. Case. 2002. Herbicide treated mulches for ornamental weed control. SNA Res. Conf. 47 :39.-396. Mathers, H., and L. Case. 2003. Novel methods of weed control of containers. Hort. Technol. 13:28-34. Melander, 3., LA. Rasmussen, and P. Barberi. 2005. Integrating physical and cultural methods of weed control— examples from European research. Weed Sci. 53 (3)369—381. Messenger, B., and A. Braun. 2000. Alternatives to methyl bromide for the control of soil-bome diseases and pests in California. California Dept. of Pesticide Regulation Fumigant Resource Center. Mihajlovich, M., D.G. Pitt, and P. Blake. 2004. Comparison of four glyphosate herbicide formulations for white spruce release treatment. Forestry chronicle 80 no. 5:608- 61 1. 33 Miller, L.G., T.L. Connell, J.R. Guidetti, and RS. Oremland. 1997. Bacterial oxidation of methyl bromide in fumi gated agricultural soils. Applied and Environ. Microbiology 63 :4346-4354. Ohr, H.D., J .J . Sims, N.M. Grech, J .0. Becker, and ME. McGiffen. 1996. Methyl iodide, an ozone-safe alternative to methyl bromide as a soil fumigant. Plant Disease 80:73 1-735. Papierrrik, S.K., J. Gan, and SR. Yates. 2002. Characterization of propargyl bromide transformation in soil. Pest Mgt. Sci. 58(10): 1055-62. Papiemik, S.K., S.R. Yates, R.S. Dungan, S.M. Lesch, W. Zheng, and M.X. Guo. 2004. Effect of surface tarp on emissions and distribution of drip-applied fumigants. Environ. Sci. & Technol. 38:4254—4262. Park, M.K., J .H. Kim, and RS. Dungan. 2004. Sorption of the fumigant 1,3- dichloropropene on soil. J. of Environ. Sci. and Health Part B - Pesticides Food Contaminants and Agr. Wastes 39:603-612. Penner, D. 2005. personal communication. Pimentel, D., L. Lach, R. Zuniga, and D. Morrison. 2000. Environmental and economic costs of nonindigenous species in the United States. Bioscience 50:53. Price, N. 1996. Methyl bromide in perspective, p. 1-24, In C. H. Bell, et al., eds. The methyl bromide issue, Vol. 1. John Wiley & Sons, New York. Rice, C.P., C.B. Nochetto, and P. Zara. 2002. Volatilization of trifluralin, atrazine, metolachlor, chlorpyrifos, alpha-endosulfan, and beta-endosulfan from freshly tilled soil. J. agric. food-chem. Washington, DC. American Chem. Soc. 50:4009- 4017. Richards, D.J. 2004. SEP 100, A sodium azide-based broad spectrum pesticide. Annu. Intl Res. Conf. on Methyl Bromide Alternatives and Emissions Reductions, Orlando, Florida. Rieger, M., G. Krewer, and P. Lewis. 2001. Solarization and chemical alternatives to methyl bromide for preplant soil treatment of strawberries. Hort. Technol. 11:258- 264. 34 Ristaino, J .B., and W. Thomas. 1997. Agriculture, methyl bromide, and the ozone hole: Can we fill the gaps? Plant Disease 81:964-977. Roback, A. 1996. Stratospheric control of climate (vol 272, pg 972, 1996). Science 272:1251-1251. Rodriguez-Kabana, R., and L. Simmons. 2004. Combination of metham sodium and propylene oxide for weed control. Annu. Intl. Res. Conf. on Methyl Bromide Alternatives and Emissions Reductions, Orlando, Florida. Rodriguez-Kabana, R., J .R. Akridge, and J .E. Burcket. 2004. Sodium azide (Seep 100) for control of root-knoot nematode, weeds, and soil borne disease in cantaloup production. Annu. Intl. Res. Conf. on Methyl Bromide Alternatives and Emissions Reductions, Orlando, Florida. Rogers, J .L., D]. Doohan, R.A. Robinson, K.I.N. Jensen, and 8.0. Gaul. 2001. F luazifop-P inhibits terbacil metabolism in strawberry (fragaria X ananassa). Weed Technol. 15, No 2:320—326. Saladin, G., C. Magne, and C. Clement. 2003. Impact of flumioxazin herbicide on growth and carbohydrate physiology in Vitis vinifera L. Plant Cell Rep. Berlin 21 :821- 827. Salihu, S., J .F. Derr, and K.K. Hatzios. 1998. Effects of gallery applied at different growth stages to dwarf burning bush (Euonymus alatus 'Compacta'). J. environ. hortic. 16:155-158. Salihu, S., J .F. Derr, and K.K. Hatzios. 1999. Differential response of ajuga (Ajuga reptans), wintercreeper (Euonymusfortunei), and dwarf burning bush (E uonymus alatus 'Compacta') to root- and shoot-applied isoxaben. Weed Technol. 13:685- 690. Schreiner, R.P., K.L. Ivors, and J .N. Pinkerton. 2001. Soil solarization reduces arbuscular mycorrhizal fungi as a consequence of weed suppression. Mycorrhiza 11:273- 277. Shrestha, A., Browne, Lampinen, Schneider, and Simon. 2004. Weed population dynamics in perennial crop nurseries as affected by methyl bromide and alternative fumigants. Weed Sci. Soc. of America, Honolulu, Hawaii. 35 Stapleton, J .J ., T.S. Prather, S.B. Mallek, T.S. Ruiz, and CL. Elmore. 2002. High temperature solarization for production of weed-free container soils and potting mixes. Hort. technol. 12:697-700. Tao, T., and GE. Maciel. 2002. Interaction of methyl bromide with soil. Environ. Sci. Technol. 36:603-607. Tatum, DH, and G. Thompson. 1993. Herbicide phytotoxicity on woody omamentals. SNA Res. Conf. 38. Unruh, J .B., B]. Brecke, J .A. Dusky, and J .S. Godbehere. 2002. Fumigant alternatives for methyl bromide prior to turfgrass establishment. Weed Technol. 16:379-387. Ware, G.W. 2000. The pesticide book. 5 ed. Thomson publications, Fresno. Warton, B., J .N. Matthiessen, and M.M. Roper. 2001. The soil organisms responsible for the enhanced biodegradation of metham sodium. Biol. Fertil. Soils 34:264-269. Weed Science Society of America. 2002. Herbicide handbook. 8 ed. Weed Science Society of America. Westerdahl, B.B., R.P. Buchner, R. Loftus, and T. Loftus. 2002. Tarped metham sodium for nematodes and weed control in nurseries. Annu. Intl. Res. Conf. on Methyl Bromide Alternatives and Emissions Reductions, Orlando, Florida. Xu, J .M., J. Gan, S.K. Papiemik, J.O. Becker, and SR. Yates. 2003. Incorporation of fumigants into soil organic matter. Environ. Sci. & Technol. 37:1288-1291. Yates, SR, and G. Jianying. 1998. Volatility, adsorption, and degradation of propargyl bromide as a soil fumigant. J. Agric. Food Chem. 46(2):755-761. Yvon-Lewis, S.A., D.lB. King, R. Tokarczyk, K.D. Goodwin, E.S. Saltzman, and J .H. Butler. 2004. Methyl bromide and methyl chloride in the Southern Ocean. J. of Geophysical Res. Oceans 109. Zhang, W.M., M.E. McGiffen, J .0. Becker, H.D. Ohr, J .J . Sims, and R.L. Kallenbach. 1997. Dose response of weeds to methyl iodide and methyl bromide. Weed Res. (Oxford - United Kingdom) 37(3):l81-189. 36 Zhang, W.M., M.E. McGiffen, J .0. Becker, H.D. Ohr, J .J . Sims, and SD. Campbell. 1998. Effect of soil physical factors on methyl iodide and methyl bromide. Pesticide Sci. 53 :71-7 9. Zheng, W., S.K. Papiemik, M.X. Guo, and SR. Yates. 2004. Remediation of methyl iodide in aqueous solution and soils amended with thiourea. Environ. Sci. & Technol. 38:1188-1194. 37 Table 1. Common weeds of nursery crop products. Perennial weeds Summer weeds Winter weeds Cynodon dactylon Pilea microphylla Cardamine spp. Stachysfloridana Molluga verticillata Daucus carota Convolvulus arvensis Digitaria sp. Phyllanthus urinaria Cerastium vulgatum Fatoua villosa Stellaria media Eupatorium capillifolium Commelina difiirsa Trifolium repens Smilax spp. Hydrocotyle spp. Gnaphalium spp. Senecio vulgaris Eclipta sp. Geranium carolinianum Sorghum halepense Oenothera spp. Anthem cotula Pueraria Montana var. lobata Elusine indica Medicago trunculata Marchantia polymorpha Chenopodium spp. Medicago lapolina Ipomoea spp. Ipomoea spp. Brassica spp. Cyperus rotundus F atoua villosa Lepidium spp. Cyperus esculentus Toxicodendron aradicans Rosa multrflora Panicum repens Campsis radicans Phyllanthus urinaria Phyllanthus tenellus Amaranthus spp. Portulaca oleracea Richardia scabra Ambrosia artemisiifolia Cyperus compressus Cyperus globulosus Bidens bipinnata Chamaesyce hirta, syn. Euphorbia hirta Chamaesyce hirta, syn. Euphorbia vermiculata Chamaesyce hirta, syn. Euphorbia humistrata C. maculate, syn. E. maculate, E. supine Oxalis stricta Lotium multiflorum Capsella bursa-pastoris Sonchus spp. Vicia sativa North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida. 38 6338.3 Ho: 823888 ”<7: ES: .883 $683802 386888 “oz SS 03.8% 628 888m <8 Beans 82 <8 <8 8805 Eugen 88¢ $083802 @888on «oz $2: “.688 082.305 2888on 388 082.395 88 883 383802 Beans 82 $8 .6 + $8 a: See 35...: sees is: 88 .883 £82802 8.882 82 .8 .8 + $8 82 862 3502 862 see: 3088 .883 £303 $033802 vacuumwom $3 385% 38085 28885 88055 8638 .888 £25880 Z Buowmfiom o\.. 98 oaoaoaouofioaég Om 0:23. DIM; 38.0.5 .88 88882 85.88 .5 x: + $3 888882298 2-0 253 or? $088 .888 $258802 wobummwom m0 e\°mm + $3 ocogoaocoiomQéJ mmO one—on. film; 8038 .88: $253802 380883“ $03 0580880389m; m one—ob DIM; $638 Awash rue—53802 Buoammwom $03 8088030 8680830 8580.830 3.88 o\owm + $88 .88: .383 $253802 Becammmom va 0388858583508 888m 88:3 8:68 88:02 988: 88¢ £803 $088802 38683“ o\omm m0 + fiche m2 Seawohok 0280.5 3832 $88: Awash .883 £8on802 BuonEom fem 80 + came 92 30-9805 028on 3502 .333: .283 “8.— mEBm nets—afieoh 288 23.5. 98a: 8880 8ng :8 mo 88305 .N 038. 39 CHAPTER III: COMPARATIVE EVALUATION OF SOIL FUMIGANTS 40 INTRODUCTION Fumigants are used to control soil-bome pests, which allows high yields production of superior quality products, which are important in order to be competitive in a high value crop market (Messenger and Braun 2000). Methyl bromide (MB) is the most widely used fumigant, with 68,424 metric tons used in 1996, almost half of which was in the USA (Ware 2000). MB diffuses quickly and penetrates deeply into the soil due to its low boiling point and high vapor pressure. It has a short waiting period before planting, and low residual phototoxicity (Messenger and Braun 2000). MB research has been conducted extensively in high value crops such as strawberries, tomatoes, peppers, tobacco, and cucumbers. On the other hand, there has been limited research for MB alternatives in the ornamental and conifer industries in Michigan, even though this state is one of the six largest nursery and floriculture producers, with sales of $629 million in 2002 (Anonymous 2002). Nursery and greenhouse production represent the sixth largest agricultural commodity group in the United States. This is the fastest growing segment of the US. agriculture; between 1991 and 1998 sales of this segment increased 30%. Nursery growth is driven by the strong US. economy with the expansion in housing and increase of ornamental plant consumption (Knox et al. 2003). In addition to MB, nursery operators use other weed control practices, such as mulches, plant density, and mechanical removal, but chemical methods remain the most used weed control method in nurseries (Anonymous 2004a). MB has been used since before World War II. The total amount used has increased steadily with a 60% increase between 1984 and 1992 (Price 1996). MB is a 41 fumigant that is injected into soil before planting to control fungi, weeds, pathogens, and nematodes. The United States utilizes about 27 million kilograms each year: approximately 75% on soil before planting crops, 11% in harvested commodities during storage and export, and 6% in structures such as food processing plants, warehouses, and museums, as well as transport vehicles. The remaining 8% goes to the production of other chemicals (Anonymous 2004b). Globally, the usage percentage follows the same patterns (Ware 2000). Manufactured MB is a colorless gas at temperatures above 3.5 C and at low concentrations has no noticeable odor. ChlorOpicrin at 2% is added as a warning gas. Reactions with organic and living materials are not highly specific, making mode of action determination quite difficult. In fact, the mode of action is not very well understood. Methylation of sulflrydryl groups and the following enzyme inactivation has been postulated to play an important role in its toxicity. MB is highly soluble in lipids and has a high toxicity; it is lethal to rabbits at oral dosages above 60 mg kg“1 (Price 1996). Atmospheric MB originates from oceanic emissions and anthropogenic sources such as biomass burning, agricultural applications, leaded gasoline combustion, and structural fumigations. The relative contributions of anthropogenic and natural emissions to the total atmospheric MB are not well known (Butler and Rodriguez 1996). However, it was estimated that man-made sources account for 35% and natural sources account for 65% (Hanwant 1993). According to Mano et al.(l994), biomass burning represents a major contribution of bromine in the stratosphere and can be compared to the amount produced by ocean emissions and pesticides. 42 Methylation of soil organic matter may be the major pathway for degradation of MB (Tao and Maciel 2002). According to the USDA 2004 Annual Report (2004b) hydrolysis is the major transformation pathway for fumigants and soil pH, soil moisture, and organic content can accelerate degradation. Even though fumigants are potent biocides, bacteria can be involved in MB degradation by directly oxidizing it during field firmigation (Miller et al. 1997). The Montreal Protocol defined MB as a chemical that contributes to depletion of the Earth’s ozone layer. Thus, manufacture and importation of MB will be limited until completely phased out in developed countries for general agricultural uses in 2005, and developing countries have agreed to eliminate most chlorofluorocarbon (CFC) by January 2010 (Anonymous 2004c). Many industries will be affected by the loss of MB. The ornamental and nursery industry in California is estimated to lose $129 million and $14 million in North Carolina (Carpenter 2000). Even though current application cost is approximately $ 4,000 per hectare, the ornamental industry still relies on this product to achieve maximum yield and quality. Michigan used 220 metric tons of MB in 2000. The target objective of MB application nematodes, weeds, and fungi (Bird 2004). In the turf industry, MB fumigation is primarily used to eliminate weeds and to ensure genetic purity of turf grasses (Unruh et al. 2002). The MB phase out will adversely affect agricultural production, especially where alternative fumigants have not been thoroughly evaluated. At the moment there are few fumigants that can readily substitute for MB. According to Duniway (2002), “None of the Chemical alternatives currently registered and available have the full spectrum of activity 43 and versatility of MB as a pre-plant soil firmigant. Methyl iodide and propargyl bromide probably have activity that most closely parallels that of MB in soil”. Studies confirm that no EPA-registered fumigant alternative to MB, applied alone or in combination for pre plant turf soil fumigation, exists (Unruh et al. 2002). Some of the fumigants proposed to replace MB are: metham sodium (MS), chloropicrin (CP), 1,3—dichloropropene (1,3-D), dazomet, and methyl iodide (MeI). Fumigants that may not deplete the ozone layer and have potential to replace MB are listed in table 1. MS and dazomet are used to control soil fungi, insects, nematodes and weeds. They decompose in soil to methyl isothiocyanate (MITC) which is the biocidal molecule. Dazomet and MS are highly dependant on soil preparation and moisture for activation and uniform distribution of MITC, thus inconsistent results are often obtained (Annis and Waterford 1996). MS was one of the most efficacious fumigants tested in controlling yellow nutsedge (Cyperus esculentus L) tubers. MS applied with 17% CP resulted in a synergistic interaction (Hutchinson et al. 2003). MS (748 L/ha) alone and MS (748 L/ha) followed by CP (168 kg/ha), tarped and not tarped, and MS (748 L/ha) followed by 1,3-D (140 L/ha) provided acceptable weed control; however, MS plus CP covered with a plastic tarp after treatment for 48 h was the best MS treatment controlling grass and broadleaf species equal to MB, but unacceptable sedge species control. MS applied alone failed to control redroot pigweed (Amaranthus retroflaxus L.); however, MS plus combinations provided control (Unruh et al. 2002). That was confirmed by Fennimore et al.(2003), who found that MS was less effective 44 than MB:CP for weed seed control. Among MB, MeI, propargyl bromide, 1,3-D and MS and the combinations of these with CP, MS and propargyl bromide were the most effective in controlling yellow nutsedge (Hutchinson et al. 2003). Treatments with both dazomet 99% (392 kg/ha) and CP 99% (168 kg/ha) or dazomet 99% (392 kg/ha) and 1,3-D 98% (140 L/ha) provided 80% and 51% control of purple nutsedge respectively, but these combinations declined in nutsedge control 44 weeks after treatment. All dazomet combinations controlled 96 to 100% of bermudagrass. Carpetweed was controlled as well as in MB with dazomet (392 kg/ha) followed by CP (168 kg/ha), however the other combinations were not as effective. The efficacy of dazomet and combinations against winter annual weeds was similar to that of MB (Unruh et al. 2002). 1,3-D is registered as a nematicide. 1,3-D has restricted usage in California due to residue problems in air samples collected in urban areas adjacent to farms. It is listed in California as a carcinogen (Ristaino and Thomas 1997). 1,3-D shank injected at 140 L/ha followed by oxadiazon 2% granular at 168 kg/ha broadcast applied did not control yellow nutsedge, purple nutsedge (Cyperus rotundus L.), or coastal bermudagrass (Cynodon dactylon (L.) Pers.) and carpetweed (Mollugo verticillata L), but provided 83% control of the winter annual weed species (Unruh et al. 2002). Combining 1,3-D (Telone H) with 17% CP resulted in an ECso value for yellow nutsedge control similar to that of Mel applied alone (Hutchinson et al. 2003). Application of 1,3-D (93 L/ha) followed by MS (349 L/ha) and Telone _C-17 (93 L/ha) followed by MS (349 Uha) controlled oldfield toadflax (Nuttallanthus canadensis (L.) D.A.), corn spurry (Spergula arvensis L.), evening primrose (Oenthera laciniata Hill), 45 yellow nutsedge, henbit (Lamium amplaxicaule L.), annual sedge (Cyperus compressus L. ), and purple cudweed (Gamochaeta purpurea (L.) Cabrera) as well as MB plus CP standard. On the other hand, CP was the least effective (Csinos et al. 2000). 1,3-D plus CP (83:17) at 330 Ma combined with napropamide at 4.50 kg/ha, metolachlor at 2.25 kg/ha, pebulate at 4.50 kg/ha did not interact with the fumigants and had excellent control of goosegrass (Eleusine indica L.), southern crabgrass (Digitaria ciliaris L.) and smooth pigweed (Amaranthus hybridus L.), but only poor to fair control of purple nutsedge (Cyperus rotundus L.) (Gilreath et al. 2004). However, the same author concluded in 2005, that 1,3-D (325 kg ai/ha) plus CP (67 kg ai/ha) combined with pebulate consistently reduced purpule nutsedge density more than any other fumigant- herbicide combination during the early stages of tomato at 5 WAT. In addition, improved efficacy was achieved when pebulate was deeply incorporated (Gilreath and Santos 2005). This result is consistent with the research done in tomato and pepper by the same author the year before where high doses and deep incorporation of napropamide and metolachlor provided the best weed control; Telone C-17 (1 ,3-D 83%) reduced purple nutsedge density but still was not enough to achieve maximum yield (Gilreath and Santos 2004). Efficacy of InLine (1,3-D 60% plus CP 32%) and CP EC 95% applied through drip irrigation system on seed control in little mallow (Malva parviflora L.) or prostrate knotweed (Polygonum aviculare L.) did not differ from MB:CP (67:33) (Fennimore et al. 2003). CP may be used to control nematodes, bacteria, fungi, insects, and weeds. CP has marginal activity against nematodes and weeds (Ristaino and Thomas 1997), furthermore, CP alone provided poor weed control (Csinos et al. 2000); for this reason 46 'MM A... 'v~ CP is combined extensively with MB, and more recently with 1,3-D (Unruh et al. 2002). Laboratory studies found that increased concentration and exposure time with CP reduced common chickweed (Stellaria media (L.) Vill.), common purslane (Portulaca oleracea L.), and prostrate knotweed (Polygonum aviculare L.) seed viability. This was confirmed with a field experiment (Haar et al. 2003). CP at 224 kg/ha provided equivalent weed control to MB 67% plus CP 33% at 392 kg/ha in common chickweed, little malow, common purslane, and prostate knotweed (Kabir et al. 2004). Even though CP does not degrade the ozone layer, it is a potential groundwater contaminant (Messenger and Braun 2000). Mel is chemically analogous to MB and it is not currently registered. Research with Mel combined with CP confirmed that it is a strong candidate to replace MB. Mel is a better methylating agent than MB; it is rapidly destroyed by UV light and therefore unlikely to be involved in stratospheric ozone depletion. In laboratory and field studies Mel was equal to or better than MB in controlling soil borne pathogens and weeds (0hr et al. 1996). Mel is an expensive chemical, however Mel current price could change dramatically in response to increased demand from agriculture uses (Hueth et al. 2000). Mel controlled grass species, sedge species, and broadleaf weeds present at the two locations under different environmental conditions, but did not control redroot pigweed (Unruh et al. 2002). Zhang et al. (1997) found that redroot pigweed was the most sensitive and purple nutsedge was the least sensitive to Mel. Furthermore, Mel was as potent as MB for redroot pigweed but more potent than MB for annual ryegrass (L. multiflorum Lam.), velvetleaf (Abutz'lon theophrasti Medik.), common lambsquarters (Chenopodium album L.), common purslane, wild mustard (Brassica kaber (DC .) LC. 47 Wheeler), yellow nutsedge and purple nutsedge. Under field conditions, Mel at 280 kg/ha killed all species tested except black nightshade (Solanum nigrum L.) (Zhang et al. 1997). Mel controlled velvetleaf and annual ryegrass in different soil moisture, temperature, and soil texture. The optimal soil moisture to control those weeds was 14% water content (W/W) and the results were obtained with temperatures above 20 C. Time to 100% mortality of weeds was 24 h for Mel fumigation and 36 h for MB, indicating Mel is more effective on a molar basis (Zhang et al. 1998). Propargyl bromide half-life in soil ranged from 1.2 to 5 days, depending on the soil type, and it should not pose a serious environmental risk (Yates and J ianying 1998). Propargyl bromide weed control efficacy is reduced greatly in muck soil due to its rapid degradation and high adsorption of the compound in the soil. Propargyl bromide half-life was only 7 hours in the muck soil compared to 60 and 67 hours in the sandy loam and loamy sand, respectively (Ma et al. 2001). Propylene oxide (PPO) is currently registered for post harvest uses. PPO is used in the production of polyethers (the primary component of polyurethane foams) and propylene glycol and in the fumigation of foodstuffs and plastic medical instruments and in the manufacture of dipropylene glycol and glycol ethers, as herbicides, as solvents, and in the preparation of lubricants, surfactants, and oil emulsifiers. Environmental Protection Agency (EPA) has classified propylene oxide as a Group B2, probable human carcinogen (Anonymous 2005). PPO combined with MS resulted in superior weed control compared with PPO or MS alone, this indicates a high synergy between these compounds (Rodriguez-Kabana and Simmons 2004). PPO controlled germination of morning glory 48 (Ipomoea spp.) seed at rates higher than 406 kg ai/ha and yellow nutsedge germination was inhibited in all rates (227 to 912 kg ai/ha) (Belcher et al. 2004). Sodium azide formulated as SEP 100, has proven to be a hi ghly-effective, broad- spectrum pesticide that controls soil-bome weeds, nematodes, fungus and bacteria (Richards 2004). Effective weed control was obtained with rates higher than 85 kg ai/ha. Sodium azide at 57 and 84 kg ai/ha controlled root diseases and weeds similarly to MB (Rodriguez-Kabana et al. 2004). In addition, sodium azide at 112 kg ai/ha combined with CP was equivalent to MB in weed control (Kabir et al. 2004). The tarp applied immediately after application is important in fiimigant efficiency. The combination of MS (468 L/ha) plus 1,3-D plus 17% CP (126 Ma) provided good pest control and had high plant yield and vigor when covered with a polyethylene fihn immediately afier treatment. The similar treatment not covered with polyethylene film but sealed with a mechanical soil cultipacker provided poor weed control (Csinos et a1. 1997). MS plus CP without tarp provided grass control similar to MB, but it was reduced at five weeks after treatment (Unruh et al. 2002). MB plus CP, Mel plus CP, Telone H (1,3-D 97.5%), Telone C-35 (1,3-D 63%) with high density polyethylene, and Telone 035 with a virtually impermeable film were as effective as MB in reducing the viability of the seeds of field bindweed (Convolvulus arvensis L.), annual morningglory, johnsongrass (Sorghum halepense L.), and common purslane. However, none of the treatments reduced seed viability of little mallow. In addition, alternative treatment required similar amount of time to hand weed as MB treatment (Shrestha et al. 2004). 49 Application of emulsified formulations of 1,3-D, CP, and MS through drip irrigation system provided equal or better weed control than equivalent rates applied by shank injection (Fennimore et a1. 2003). There was no nutsedge control where Telone C- 35 was applied broadcast, but when applied in bed or broadcast followed by in bed application of CP, nutsedge control was comparable to MB (Gilreath et al. 2002). Economic impact of MB phaseout was evaluated by other authors. Hueth et al. (2000), analyzed the economic aspect of MB replacement by Mel, a strong candidate from technical point of view. Sources of raw material, product cost, and supply-demand analysis is presented. Even though the economic aspect and the cost analysis play an important role in defining which product or production management will be adopted, this point goes beyond the scope of our work. Even though there are numerous ways to control diseases and pests as mentioned previously, this research studied the potential of five soil fumigants: metham sodium, chloropicrin, 1,3-Dichloropropene, methyl iodide, dazomet and their combinations to replace MB in weed control and their influence in growth of six ornamental plants: Euphorbia polychroma, Echinops bannaticus ‘Blue Globe’, Lavandula angustzfolia ‘Hidcote Blue’, Hosta ‘Twlight PP14040’, Artemisia schmidtiana ‘Silver Mound’, Chrysanthemum x superbum ‘Snow Lady’ and Coreopsis verticillata ‘Moon Bearn’ MATERIALS AND METHODS The experiment was conducted in cooperation with an operational nursery, Hudsonville, Michigan. The soil in the site is a sandy loam soil with 81% sand, 8% silt and 11% clay. The soil pH was 6.2, phosphorus and magnesium concentrations in the soil 50 were the optimum and potassium was slightly below the optimum for ornamental crop production. Fifieen treatments were applied on September 12, 2002 (Table 2). Each treatment was tarped immediately afier application, except for one of the non-treated controls, one of the MS plots, and the dazomet plot, which remained uncovered. Weather conditions at application were: 24 C air temperature, soil moistures 0.1 to 0.2 (cm3/cm3), relative humidity 36%, soil temperature at 5 cm and 12 cm depth, 25.5 C and 22.2 C respectively, and wind speed was 8 km/h from the W. Plots were 1.22 m wide and 30.5 m long. The firmigants were injected about 15 to 20 cm below the surface with a nitrogen pressurized fumigation rig at a pressure of 550 to 827 kPa (80-120 psi), mounted on a tractor with eleven Chisels per bed spaced 30 cm apart. Dazomet is a granular fumigant which was applied evenly over the plot surface and incorporated immediately after application with a rototiller. Seven ornamental species were planted mechanically in June 2003 (nine months after treatment): Euphorbia polychroma, Echinops bannaticus ‘Blue Globe’, Lavandula angustifolia ‘Hidcote Blue’, Hosta ‘Twlight PP14040’, Artemisia schmidtiana ‘Silver Mound’, Chrysanthemum x superbum ‘Snow Lady’ and Coreopsis verticillata ‘Moon Beam’. The number of plants planted in each plot varied among species: 15 to 20 Lavandula plants , 6 to 8 plants of Euphorbia polychrome, Echinops bannaticus, and Hosta, and a complete row (25 to 30 plants) of Chrysanthemum x superbum and Coreopsis verticillata. Plant injury was rated on July 23, 2003 and August 20, 2003. Rating was done visually in a range of l to 10, meaning 1 no injury and 10 dead plant. Weed evaluation 51 was done on April 24, July 9, 2003, and May 7, 2004. Plant size was measured on November 14, 2003 and May 19, 2004. Plant size index was determined by adding the highest point and the widest point of the plant and dividing by two (Briggs and Whitwell 2002) Plant samples were taken from each plot and from each cultivar during September to October 2004. The number of plants per sample was between four and six depending on the number of plants present in the field. The plants were kept in a refiigeration room at 5 C until each plant was cut in the transition zone between roots and foliage. Foliage and roots from each plant were weighed fresh and after drying at 40 C for 7 to 10 days until a constant dry weight was achieved. A randomized complete block design was used for weed control statistical analysis and split plot design was used for all measurements taken on the crop (injury, size index, fresh weight, and dry weight). A split plot design is justified by assigning fumigant treatments randomly to the main plots as a first step and cultivars (subplot) were allocated within each treatment as a second step. The site had six replications. Replications 1, 3, and 5 contained 15 treatments; and replications 2, 4, and 6 contained 14 treatments; the difference is because dazomet treatment was applied only in the odd numbered replications. RESULTS AND DISCUSSION All treatments controlled 80% to 100% of annual weeds, except Mel 50% plus CP 50% (224 kg/ha, tarped) and MS (1 :4 water, 701 um, not tarped), which resulted in lower control of common chickweed, mouseear cress (Arabidopsis thaliana (L.) Heynh.) 52 on April 2003 and May 2004 (Table 3 and 5), and common lambsquarters and common purslane on July 2004 (Table 4). However, Mel 50% plus CP 50% at higher rate (336 kg/ha, tarped) had good control of these weeds, suggesting that the rate of 224 kg/ha was below the threshold for weed control and the most efficient rate should be between 224 and 336 kg/ha. MS (1 :4 water, 701 L/ha, not tarped) did not control weeds well as in the same treatment tarped, indicating that tarping the plot after fumigation was an important factor in controlling weeds. This result agrees with Csinos et al, 1997, who found that pest control, yield and plant vigor were greater in MS (468 L/ha) plus 1,3-D plus 17% CP (126 L ha—l) covered with polyethylene; and Unruh et al, 2002 who found that MS plus CP without tarp provided good weed control but for a short period (5 weeks). Crop injury was not noticeable in any of the treatments on July 23, 2003 (data not shown). However on August 20, 2003 a slight injury (1.7 from 10) was observed in Euphorbia with Telone C-35 (1,3-D, 65%) 327 um tarped, MeBr (98%) plus 2% CP 392 kg/ha tarped, Mel (98%) plus 2% CP 168 kg/ha tarped, and MeBr (67%) plus 33% CP 392 kg/ha tarped when compared with the control (Table 6). F umigant modes of action are not well known, so specific or particular fumigant lesions can not be expected, which makes it difficult to separate fumigant injury from other causes like diseases that could affect plants in the same manner. There were no differences in plant size between treatments on November 2003 (data not shown) and on May 2004 (Table 7), except for Euphorbia in 2004, in which plants were smaller in the same treatments where injury was observed. Considering fresh weight, treatments Telone C-35 (1,3-D, 65%) 327 L/ha tarped and Mel (98%) plus 2% CP 168 kg/ha tarped reduced Euphorbia weight. All treatments, 53 except MS 701 L/ha (1 :4 water, not tarped), reduced Lavandula weight, compared to the control. The other species had either no difference in weight or treatments resulted in heavier plants compared to the control. However, considering total dry weight analysis there were no significant differences between treatments except for Euphorbia and Artemisia (Table 8). Telone C-35 (1,3—D 65% plus CP 35%) 327 L/ha tarped reduced (P<0.05) total plant weight in Euphorbia compared to the control. F urtherrnore, this reduction in weight was caused by a reduction in root and foliage biomass (Table 9). Mel plus CP (50:50) 336 kg/ha tarped caused the lowest plant weight in Artemisia, but was not significantly different from the control. In addition root and foliage biomass were not different from the control. Dazomet was not included for the statistical analysis because it was not applied in all blocks and results obtained from this application would greatly influence the overall results. As a general comment, dazomet gave good weed control in the three evaluation dates except for prickly lettuce (Lactuca serriola L.) in May 2004. This firmigant injured slightly Euphorbia (2.6 out of 10) and produced the smallest plants in this species. Dazomet treatment provided the lowest fresh weight in all species except for Hosta, which was not significantly different, and for Artemisia, which resulted in heavier plants compared to the control. Considering dry weight, dazomet treatment resulted in the lowest biomass in Euphorbia, Lavandula and Coreopsis (Table 10). However, the reduced number of replications may not allow us to compare these results directly with other treatments. 54 CONCLUSIONS Most fumigants tested had good weed control up to 20 months after application. Mel 50% plus 50% CP (tarped, 224 kg/ha) and MS not tarped (701 L/ha, 1 :4 water) had the poorest control of most summer annual weeds. In the first case, lower rate and in the second case, tarp could be the factors that contributed to the poor weed control. In general, most fumigants did not injure the ornamental crops evaluated in this experiment. Minor injury to Euphorbia caused by some treatments was reflected in the size when measured in November 2003 and May 2004 and in plant biomass weight at end of experiment. However, as mentioned previously, fumigants mode of action is not known in detail and plant response to them could be variable, thus, making it difficult to separate fumigant injuries from other causes. In addition, further investigation needs to be done to determine if any other variable could have been the cause of this injury and smaller Euphorbia plants. All of the fumigants tested have a potential to replace MB. They had good weed control and did not interfere with crop development and yield. Further studies in fumigant decomposition, interaction with the environment, effects in other omamentals and human effects are required in order to use them safety. Furthermore, firmigants combined with herbicides are promising options for weed control in the ornamental industry, thus further research in this area is needed in order to evaluate the real potential. References: 55 Annis, RC, and C.J. Waterford. 1996. Alternatives - Chemicals, p. 276-314, In C. H. Bell, et al., eds. The methyl bromide issue, Vol. 1. John Wiley & Sons. Anonymous. 2002. Census of agriculture - State Data [Online]. Available by USDA - National Agricultural Statistics Services http://www.gass.usda.gov/census/. Anonymous. 2004a. Agricultural chemical uses 2003. Nursery and floriculture summary [Online]. Available by United States Dept. of Agr. - National Agr. Stat. Serv. http://usda.mannlib.comell.edu/remrts/nassr/other/pcu-bb/agcn0904.pdf (posted September 2004). Anonymous. 2004b. USDA - ARS Methyl Bromide Research [Online] hgp://www.ars.usda.gov/i§/mb/mebrweb.htm. Anonymous. 2004c. United Nations Development Programme - The Vienna Convention and the Montreal Protocol [Online] httn://www.undo.org/seed/egp/montreal/montregl.htrn. Anonymous. 2005. EPA - Technology Transfer Network Air Toxics Website [Online] http://www.epggov/ttn/atw/hlthef/prop-oxi.html. Belcher, J .L., R.H. Walker, and R. Rodriguez-Kabana. 2004. Acroline and propylene oxide: Alternatives to methyl bomide for weed control in turf. Annu. Intl. Res. Conf. on Methyl Bromide Alternatives and Emissions Reductions, Orlando, Florida. Bird, G.W. 2004. Methyl bromide regulation update with special reference to Michigan. Michigan Farm Bureau, Lansing. Briggs, J ., and T. Whitwell. 2002. Effect of prodiamine formulation on injury to omamentals. SNA Res. Conf. 47:384-388. Butler, J .H., and J .M. Rodriguez. 1996. Methyl bromide in the atmosphere, p. 28—83, In C. H. Bell, et al., eds. The methyl bromide issue, Vol. 1. John Wiley & Sons. Carpenter, J. 2000. The economic impact of the scheduled U.S.phaseout of methyl bromide. National Center for Food and Agriculture Policy. 56 Csinos, A.S., W.C. Johnson, A.W. Johnson, D.R. Sumner, R.M. McPherson, and RD. Gitaitis. 1997. Alternative fumigants for methyl bromide in tobacco and pepper transplant production. Crop Prot. 162585-594. Csinos, A.S., D.R. Sumner, W.C. Johnson, A.W. Johnson, R.M. McPherson, and CC. Dowler. 2000. Methyl bromide alternatives in tobacco, tomato and pepper transplant production. Crop Prot. 19:39-49. Duniway, J .M. 2002. Status of chemical alternatives to methyl bromide for pre-plant fumigation of soil. Phytopathology 92:1337-1343. F ennimore, S.A., M.J. Haar, and HA. Ajwa. 2003. Weed control in strawberry provided by shank and drip-applied methyl bromide alternative fumigants. Hortscience 38(1):55-6l. Gilreath, J .P., and BM. Santos. 2004. Herbicide dose and incorporation depth in combination with 1,3-dichloropropene plus chloropicrin for Cyperus rotundus control in tomato and pepper. Crop Prot. 23:205-210. Gilreath, J .P., and BM. Santos. 2005. Efficacy of 1,3-Dichloropropene plus chloropicrin in combination with herbicides on purple nutsedge (Cyperus rotundus) control in tomato. Weed Technol. 19: 137—140. Gilreath, J .P., J .W. Noling, and BM. Santos. 2004. Methyl bromide alternatives for bell pepper (Capsicum annuum) and cucumber (Cucumis sativus) rotations. Crop Prot. 23 :347-35 1 . Gilreath, J .P., J .M. Mirrusso, J .W. Noling, J.P. Jones, and RR. Gilreath. 2002. Effectiveness of broadcast application of Telone C-35 and Tillarn + Devrinol in tomato. Proc. Annu. Meet. Fla. State Hort. Soc. 115:276-280. Haar, M.J., S.A. Fennimore, H.A. Ajwa, and C.Q. Winterbottom. 2003. Chloropicrin effect on weed seed viability. Crop Prot. 22:109-115. Hanwant, BS. 1993. An investigation of the atmospheric sources and sinks of methyl bromide. AGU. Geophysical res. letters 20:133-136. 57 Hueth, B., B. McWilliams, D. Sunding, and D. Zilberrnan. 2000. Analysis of an emerging market: can methyl iodide substitute for methyl bromide. Rev. agric. econ. 22:43- 54. Hutchinson, C.M., M.E. McGiffen, J .J . Sims, and J .0. Becker. 2003. Fumigant combinations for Cyperus esculentus L. control. Pest Mgt. Sci. 60:369-374. Kabir, Z., S.A. Fennimore, and H. Ajwa. 2004. Weed seed viability and weed control efficacy of alternative fumigants to MBr: Sodium azide and Plantpro alone or in combination with chloropicrin. Weed Science Society of America, Kansas. Knox, G., T. Momol, R. Mizell, and H. Dankers. 2003. Crop timeline for nursery-grown evergreens and shade trees. Prepared for the US EPA. Office of pesticides programs. North Florida Res. and Educ. Ctr, Inst. of food and Agr. Sci., University of Florida, Quincy. Ma, Q.L., J .Y. Gan, J .0. Becker, S.K. Papiemik, and SR. Yates. 2001. Evaluation of propargyl bromide for control of bamyardgrass and F usarium oxysporum in three soils. Pest Mgt. Sci. 57:781-786. Mano, S., and M0. Andreae. 1994. Emission of methyl bromide from biomass burning. Science 263:1255-1257. Messenger, 3., and A. Braun. 2000. Alternatives to methyl bromide for the control of soil-bome diseases and pests in California. California Dept. of Pesticide Regulation F umi gant Resource Center. Miller, L.G., T.L. Connell, J .R. Guidetti, and RS. Oremland. 1997. Bacterial oxidation of methyl bromide in fumigated agricultural soils. Applied and Environ. Microbiology 63:4346-4354. Ohr, H.D., J .J . Sims, N.M. Grech, J .0. Becker, and ME. McGiffen. 1996. Methyl iodide, an ozone-safe alternative to methyl bromide as a soil fumigant. Plant Disease 80:731-735. Price, N. 1996. Methyl bromide in perspective, p. 1-24, In C. H. Bell, et al., eds. The methyl bromide issue, Vol. 1. John Wiley & Sons, New York. 58 Richards, DJ. 2004. SEP 100, A sodium azide-based broad spectrum pesticide. Annu. Intl. Res. Conf. on Methyl Bromide Alternatives and Emissions Reductions, Orlando, Florida. Ristaino, J .B., and W. Thomas. 1997. Agriculture, methyl bromide, and the ozone hole: Can we fill the gaps? Plant Disease 81 1964-977. Rodriguez-Kabana, R., and L. Simmons. 2004. Combination of metham sodium and propylene oxide for weed control. Annu. Intl. Res. Conf. on Methyl Bromide Alternatives and Emissions Reductions, Orlando, Florida. Rodriguez-Kabana, R., J .R. Akridge, and J .E. Burcket. 2004. Sodium azide (Seep 100) for control of root-knoot nematode, weeds, and soil borne disease in cantaloup production. Annu. Intl. Res. Conf. on Methyl Bromide Alternatives and Emissions Reductions, Orlando, Florida. Shrestha, A., Browne, Lampinen, Schneider, and Simon. 2004. Weed population dynamics in perennial crop nurseries as affected by methyl bromide and alternative fumigants. Weed Sci. Soc. of America, Honolulu, Hawaii. Tao, T., and GE. Maciel. 2002. Interaction of methyl bromide with soil. Environ. Sci. Technol. 36:603-607. Unruh, J .B., B.J. Brecke, J .A. Dusky, and J .S. Godbehere. 2002. Fumigant alternatives for methyl bromide prior to turfgrass establishment. Weed Technol. 16:379-3 87. Ware, G.W. 2000. The pesticide book. 5 ed. Thomson publications, Fresno. Yates, SR, and G. Jianying. 1998. Volatility, adsorption, and degradation of propargyl bromide as a soil fumigant. J. Agric. Food Chem. 46(2):755-761. Zhang, W.M., M.E. McGiffen, J .0. Becker, H.D. Ohr, J .J . Sims, and R.L. Kallenbach. 1997. Dose response of weeds to methyl iodide and methyl bromide. Weed Res. (Oxford - United Kingdom) 37(3): 1 81-189. Zhang, W.M., M.E. McGiffen, J .0. Becker, H.D. Ohr, J .J . Sims, and SD. Campbell. 1998. Effect of soil physical factors on methyl iodide and methyl bromide. Pesticide Sci. 53:71-79. 59 05288 8: 828888 ”<22 880 $0003 $0008802 00808800 82 <22 02.8% 0088 8803 <22 00008808 82 <22 <22 00280.5 0888on 8:8 $000880 2 00.808808 82 $2: 0008 08003on 0808805 0008 0800305 880 $0003 $038802 00008800 82 {com .5 + $3 202 00202 E002 00202 0382 88 .883 888.82 8.802 .oz .8 .6 + .88 82 882 882 882 .80: 08008 .888 $0003 $000880 2 00.808832 $3 888% 88089 08085 88055 08008 .880 $000880 2 00.808832 ..\o 0.3 080808802058; Um 0:20P film; 388 .88 .8882 8.388 .6 x: + .88 888882088 :0 828 8:3 08008 .880 $0008802 00008832 .5 fawn + $3 080808802058; mmO 0:202. film; 08008 .888 $000880 2 00008832 $93 080808803058; = 0820.2. film; 08008 .880 $0008802 00808832 femdm 8.588020 8080.820 8.880.820 0808 fiwm 08008 .880 $0003 $000880 2 00808832 + 39. 08880880003508 8808 8093/ 8808 8080—2 38.5 .08 .883 88882 822.000 :3 .6 + .88 m: 8-80-980 8820 882 98.5 .88 .883 888.82 8.3.80 .8 .6 + .88 m: 2.0-9820 8820 882 50:88 .883 803 8505 888—5885 080: 000...”. 088. .3800 880888 :8 08 mo 000.0805 .2 030,—. 60 Table 2. Fifteen pesticide treatments evaluated at Sawyers Nursery (Hudsonville, M1) for management of weeds and nematodes in Euphorbia polychroma, Echinops bannaticus, Lavandula angustifolia, Hosta, Artemisia schmidtiana, Chrysanthemum x superbum and Coreopsis verticillata. N° Treatment Tarp Rate 1 Non-treated No --- 2 Non-treated (tarped) Yes --- 3 Methyl iodide (50%) + 50% chloropicrin Yes 336 kg/ha 4 Methyl iodide (50%) + 50% chloropicrin Yes 224 kg/ha 5 Telone C-35 "' Yes 327 L/ha 6 Methyl Bromide (98%) + 2% chloropicrin Yes 392 kg/ha 7 Methyl iodide (98%) + 2% chloropicrin Yes 168 kg/ha 8 Metham sodium No 701 L/ha (1:4 water) 9 Metham sodium Yes 701 L/ha (1:2 water) 10 Metham sodium Yes 701 L/ha (1 :4 water) 11 Telone II " Yes 327 L/ha 12 Telone II “and Metham Yes 327 L/ha + 701 L/ha (l :4 water) 13 Methyl Bromide (67%)+ 33% chloropicrin Yes 392 kg/ha 14 Telone C-35 *and Metham Yes 327 W + 701 Lt/ha (l :4 water) 15 Dazomet No 393 kg/ha * Telone 035: 1,3 dichloropropene 63.4%, chloropicrin 34.7% ** Telone 11: 1,3 dichloropropene 97.5%. 61 A 2&2: ”Nassau; ”Em”? J ”EM? 385% ”DZ/Em ..=_> «dawns 3.:sz ”mzmpm ”883 go a: m .—OH~§OO ~80?“ On Una ~05GOO Ofifl— MED: .C— Ow — o—mom N GO Cougmm>o mm? —O.UGOU N .modnm 8 Beanbag Dunno—paws 8: Ba 33$ 088 05 55 5:38 a £55 v.53;L a Mg m S a 3 can; a c 23 as + 23 Sn m; m: + 9&8 9-3 a 2 a S a 2 33 am new .6 $2 +§§ 82 a o. a 2 a 2 cos; i c 2: 85 + 25 an a; m: + @005 93 a S a S a S 2: an 8> @023 93 a no a 2 a 3 cos; a a 93 :K 8> m: a ed a 2 a 3 can; N” c 25 :K 8.» m2 0 3 a 3 o ow can; a s 25 85 02 m: w 2 a S a ”a 23 m2 8.» 8 § 1:.an 32 a 2 a S a ma 23 gm we, 8 oh + $an m2 a no a S a ma 25 5. we, 3&3 9m; 0 M: a o6 u E 2} v3 3.» .6 $8 + £53 32 a mg a S a ma 2} 92 RS 8 :3 1:53 32 a A: a S a S 8.» 625: 385-82 0 3 a 3 o 3 02 8305-82 ......... Nmnufi _ob:oU-------:: EB? 92% mmzmem fix 95 “8.58; 8.a<.§ _.:ocmo=&n flfiwg :8 “can 3:88 :38 “a Gouda—«>0 woo? .m 033. 62 4 Eu»? 3853. N32% .5:QO A4: 833% 3.:qu ”DH—Em .i— waHmeohmx mazuquV ”mag :4 39983 aufiéscm NAOMOQ J 533 EENBQSSSV fi m: + 33 9-3 a wd a 2 a 2 a 5a a 2 «£3— Nam 8.». 6 $3. +3th 92 a 3 a 2 a 2 a 3 a 2 Es; 1:95 85 + 35 an we, 92 + 305 9-3 a 3 a S a S a 3 a 2 2: 5. a; 33% 93 2: 2: 2: «.3 2: 933 2:25 :K :5 m: a 3 a S a 3 a 3 a S c033 a: 95 2: we, 92 a 3 a 3 a 3 a o.“ o 3 $33 a: 55 z: 02 m2 :3 2: 2: a 3 2: «£9. ”S E» 63333:”: a 3 a 2 a 2 a 3 a 2 23 8M 8> .6 xx + 3an m2 a 2 a 2 a 3 a 3 no 3 25 2m m5 $3.3 93 a 3 a 3 a 3 n 2 B 3 33 an mi .6 $8 + £53 32 a wd a 2 a 2 a «d a 3 «Emu— omm wo> m0 $3 + 3.63 ~02 a 3 u 3 u 3 o S u 3 m5 809$ 385.82 p A: u A: u o; u A: v A: z- 02 US$5.82 N mafia.— .obaoo gzmm 3:5 3% 495.“ mimic 23 may Baas; 8-3-3 1030:an 85mg :8 Ban 2388 3 “a nouns—«>0 @003 .v 033. 63 .555 8.93%»: 9.3: @2452 .4 £0.53. 8:83 ..mmo AJVSEE 53:8” ”mEmHm #93: 4d 33.42: flnmohBEV EH; 68m: @003 n .3580 ~89" S was 3.980 cal wanna—2 .o— 9 ~ 33¢. a no news—«>0 an? 3280 N .3.on an Bogota. binocawa “on 08 530— 088 05 53, 99:8 a £83 9822 _ a Yw Ba N6 pa Nw a Qw a w.» €895 en: «£5 2:. + «.5 Zn mo> m2 + 3&8 9m.— “ 2 an 3 an 3 a M: an S. 39. an a; .6 32 +3.5: 82 a ad on ma nu ha a ed a Em C895 v” C 25 8x. + £5 Rm mo> m2 + @cmsov 9-3 a o.» 5 ed a M; a 3 an 3 SS 5 8». $.05 93 a 2 an 3 an ad a 3 a 3 c353 v”: 95 :K 8> m: a Na an 2 an 3 a 3 a 3 c2“; N“: «.5 :K we» m: a ma an S a 3 a 3 3 ma :33 a: «.5 2: 02 £2 a 2 Ba 3 a Z a. 3 a 3 23 ”2 we» 8 ch 15?»: a 3 3 3 a 3 a 2 a 3 29 an 8> .6 exam 1°53va a 3 Ba he an 3 a 3 a 3 95 an 3> 2&8 9m.— “ ed a 3 a 2 o 3 B 3. 2} v2 a; ,6 $8 + £53 32 a 2 0% wd nu md a Wm pa 2. mama 0mm we.» 8 $8 + 3.63 ~02 o A: o A: o o; o o._ o o; 5 m“; 8098; 3395.82 0 A: o A: c Q— o A: 0 Q— --- oz 3395.82 "mafia 3980 BAA; mmo m: + $05 93 a m: a 2: a 2 a o: a o: a 2 Ba 2 25 Rm 9% @905 9-3 2: 2: 2: 2: 2: 2: Ba 3 egg» $3.25 :K 8> m2 2: 2: 2: 2: a2 2: 2.2 :23 @325 :K 9% m2 «2 2: 2: 2: 2: 2: 3“ 2 cos; $395 2: oz m2 2: 2: 2: 2: 2: 2.. an 2 23 mm: 9% mo $N+§mazoz a o: a 3 a 2: a c: a o: a 2: a 2 a} 8m 3% ,5 § + 25$ m2 2: 2: 2: 2: 2: 2.. 2: 255. 8> §§93 a N: a o: a 3 a 2: g o: a 3 o _ a} v2 8». no $8 + £53 32 a S a 3 a 2: a 3 a o: a 2 B 3 23 SH mg» .6 $8 1:52»: a o: a o: a 3 a o: a o: a 3 3 N: 8> 625: 385-82 5 A: a Q— a Q— a Q— a A: a Q— 0 c._ I- 02 3805.82 #53 £3880 £5995 «BEBE 883 «3985\— maoqfiom Mackinaw 8mm Bah 32.58;. 232.8 ._.:oumo=&m mugmmg :8 “can 3:88 :26? S 83.. SE 36on 3583.5 .0 2an 65 «vacant... 2.3me.... 330% «56%—am n modnm .« 606...... augoaawfi 8: o.« .86. «ES «6 5.3 5:38 « 55$, «:82 ~ «.36.; + 2...”... "52.. Ba _ 66 a in a .2 a .2 a q: a n... a 3. a. «.2 as; 8.. ms. + 3.8. ad. 2.. £3 .2 + 9.: an a .2 a «.2 a ...N a n: a «.2 a 3. o 2... «a». «2 m5 .6 22 +2.2... ms. « .2. a «.2 a «.2 a in a 2... a on. a. «.3. can... 3. 95 .2 + «.5 22 8> «E + 2.2.3. 6-3 a «.2... a «.2 a «.2 a «.2 a .2 a 3. 2. «.9 «.5 an 8.. @003. 93 a «.2 a «.2 a «.2 a «.2 « M.M.. a a... a. «.3 can... E. 2: .2 8.. «.2 a «.2. _. «.8 a .2. a 0.2. a «.9 a 2.. a. «.3 can; N... «.3 .2 8.. m: a «.2 a «.2 a .2. a «.2 a .d. a «.2 a. «.9. cos; 3. «.5 .2 oz «2 a «.2 a «.2 a «.2 a «.3. a «.2 a a... o «.2 9...... we. a; .6 .2 + 3...... .22 a «.2 a ...N a «.2 a «.2 a «.9 a 2.. o «.2 «a». «2 a; .6 2N + 2.3. m2 « «.2 a «.2 « IN a «.2 u o... a «.2 o «.2 «.5 Rm 8> .28. ad. a «.2. a «.2 a 3. a 2.2 a q... a «.2 a 3... «£9. «2 we. .6 22 + 222. .02 a «.2 a «.2 a «2. a «.2 a 2... a «.2 a. «.3 «em... «2 8> .6 22 + .22. .02 a «.2 a «.2 a S. a in a «.2 a E... «a 2.3 E 3% €25. «28....52 « «.2 a as a «.2 a «.2 a .2 a on. e. 9:. E oz «385.82 50 «63660 5:85 «.2885. «32823 «moanom 88$ «afloamsm 85— E... 26832... 3-62-2 «$533388 .:«me5.. 286...... 5.3 @898. «.03 E $.5on «3566a b mo .62.. «Em :83 .5 23% WOAVHQ an «GP—Obfiv huge-2&5 «on 0.3 .033 08am 05 5.3 2.300 a fig; 980: _ 2... 02 a N... «2... 92 a 2.. a m... a 2.0 2. 2.. .883 8.» ms. + .83. 0-0. 0... «E... .2. + «5.. Sn 0% ovN « mm. 00.. ...N « 00.. « X... « E... 0.. hm. «flux mom 8; 2.0 o\omm 122.0. B). n« and « no. .62. SN « 3.. « we. « E... p« 2.5.. C083 v... «S .2. + «S Rm m0> ms. + 3°20. Q-m.. 2. MS a 2.. a. .3 a .3 « .... a 0.... 2. 2.. 5.: Rm 8.. .208. 0-3 n« 9N « 00... n« and « w... « v... « w... n« «w. €0.95 v... «S. .2. 00> m2 « chm « o... 00% nmd « 3.. « .m. « S... « 3.. .62.? N... «5.. .2. 8». m2 0..« and « o... .002. KN « mmd « mm. « E... n« cm. .633 v... «S .00 02 ms. 0n« med « om. .00...W Sam « N0. « 00... « w... 0n. 3... «5w.— wo. mo> m0 o\o~ + .o\°w0. .3). 0n« Sam « 2.. « mod « mm. « 8.. « n... on X... «flux mam 8; mo $N + 3&0. m2 0..« own « 0.... n.« find « m..~ « 0... « 0.... 0 mm... «6.. En an; gone. n.-m.. 0% mN « 00... 00.. RN « 00.. « mm. « m .d n« 3.. «.30. «Na 8% .5 $8 + 3.63 .02 0 Ed « 2.. 00 3.. « on. « 8.. « on... n« 3.. «£9. 0mm 00> 2.0 $3 + .2003 .02 0 3d « 5.. 02. 0..N « mod « m... « m... n« 3.. 5 8..» .0098. 0380.002 0n« mv.N « 0.... 0 3.. « .N.~ « 2.. « I... p« E... z- 07. 0885.002 0.088 .01. \ mu. 0.2.0800 4.83.9.0 «6.80.2 «3.26%.. 2.0030... «30.. «3.2.2.3. «.3. 96... 3258.... .00.«0.«>0 «0.00% 300.580 00.60 0.... .0 .86... b0 .5... .80... .w 2%... 67 mOdum .5 2.0.0me >3§UG=HWG «O... 0.00 .530— Dadm 05 £0; GES—Oo w awe—u; 9.002 . 68 00 0000 00 00.... 0000 m0m.N 0 000.0 00 .000 00 2.0.. .003 v. .. 0...... .2. + 0...... 0N0 00> 0.). + 0.000. 0-0.. 00 .20 00 00.... 000 v.N.N 0 N000 00 000.0 00 N00. 0500. N00 00> 2.0 0000 +000. m2 00 000.0 0 00N.. 000 .v..N 0 0.0.0 0 000.0 00 000.. €0.03 0... 0.... .2. + 0Q. 0N0 00> 03. + 0.00.00. 9-0.. 0 $0... a 000.. a. 0S0 2.. 00:. 2... :0... 2. 000.. 25 an 2.... 02.0.3. 0-0.. 0 2.000 00 000.. 00 0000 0 .000 0 000.0 00 000.. C003 v... 0.0.. .2. 00> 02 00 m .00 0.. N00. .0000 0....N 0 .000 0 .000 0 N00. .0003 N... 06.. .2. 00> 0.). 00 v2.0 00 2.0.. 000 00..N 00 02.0 0 N20 00 .00.. 0.0.03 0... 0.0.. .00 07. 0.). 00 N000 00 2.00.. .0000 0mv.N 00 02.0 00 000.0 00 .00.. 0500. 00. 00> 00 .0N + 0.000. .02 0 2.000 0 000.. 0 0N2..N 00 000.0 00 000.0 00 .3... 060.. N00 00> 2.0 ..0N + 0.000. a). 0 000.. 00 0.0.. 00 0N0.N 0 2.0.0 0 000.0 0 0N0.0 02.. 0N0 00> 0.000. 9-0.. 0 000.0 00 .00.. 000 00 ..N 0 0N0.0 0 0N0.0 00 3.0.. 020.. VNN 00> 00 0000 + 0.000. .02 0 000.0 0.. NnN. 00 000.. 0 v2.0 00 000.0 00 2.3... 050.. 000 00> 00 ..000 + 0.000. .03. 00 002.0 0.. 00N.. .000 0000 0 $00 0 0N0.0 00 N00. -: 00> 0.038. 000000.007. 0 000.0 0 00N.. 0 000.. 0 000.0 0 0000 00 N05. --- 07. 000005.002 .. ....... 0.0800 .0... \ 00. 0.0800 .0... \ 0.. ....... 3.-.: .03. 00000“. 0.0.03 .80... .03. 00000,... 2.0.03 .000... 0.0.80.5. 0.009.020 0.3. 20... 000.500.... 00.0.5820. .000 0.0.8.2050 ..0 0.0.03 0... .00... .08. 0:0 000:0. .0003. .0 0.00... .83 06 E £53 .3 .3 52: E303 DD n .283 Ba 3303 owflofi 05 "5288 888 2303 5on ~ modnm an Echogv magmas 8: 03 8:3 oEmm 05 55 95:8 a :55 382 _ 5. 8a a :3 a com a :5 a £4 a MS 3 m3 «9:88 a 02 a NE a Ra a :6 a «3 a a: a a? 38%: n 3&wa 392; be 9 Rd a $6 a 2: a 86 a as a 86 9 NS 3885 a :3 a N; a 85 a 85 a 2: a o? a So 838:: N 933ch am? £me a man a 3A a w: a 9: a SN a 3: a 2m 3888 a a: a Q: a 93 a 0.: a 3m a w? a 2:. 3.8%: 98V aégtfisa cum «2 2: 2: 2: i: a: 93 $885 a 3 a 3 a 3 a 3 a 3 a 3 a 3 Bags: wane EH5 $3880 8:805:35 33:82 883 ~3v§>3 maoqfiom «33:95 2.383 5 EB .onmm .wcdfi Ram? :33 35:53.8 so 380an mo 80am .2 033. 69 CHAPTER IV: RESPONSE OF TEN ORNAMENTAL SPECIES T0 HERBICIDE TREATMENTS 7O INTRODUCTION Nursery and greenhouse production of ornamental plants represents the sixth largest agricultural commodity group in the United States. This is the fastest growing segment of the US. agriculture; between 1991 and 1998 sales of omamentals increased 30%. Growth in ornamental sales is caused by the strong US. economy with the expansion in housing and increase of ornamental plant consumption (Knox et al. 2003). Ornamental and floriculture nurseries in California, Florida, Michigan, Oregon, Pennsylvania, and Texas used 335 pesticide active ingredients and a total of 2.2 million kg of chemicals in 2003; herbicides accounted for 20% (446,000 kg) of the total amount used. Among herbicides, glyphosate is the most popular, being used in 26% of the operations, followed by oxyfluorfen with 8%, and oryzalin with 6% of the operations (Anonymous 2004). Economic losses of nurseries due to weed infestations have been estimated to be about $7,000 per acre. Nurseries may spend $500 to $4000 per acre of containers for manual removal of weeds (Mathers and Case 2003). However, hand-weeding sometimes is necessary regardless of preventative measures utilized for weed control (Knox et al. 2003). Cultivation may damage herbaceous perennial species because storage organs (bulbs, rhizomes, roots) are located just below the soil surface. Herbicides usually reduce weed control costs; however, little information about tolerance of herbaceous perennials to herbicides is available and very few herbicides are labeled for use on omamentals (Calkins et a1. 1996). Methyl bromide (MB) fumigation has been used widely to control soil borne diseases and nematodes, and a wide spectrum of weeds. However, due to the Montreal 71 Protocol decision to phase out MB because of its harmful effect on the ozone layer, it may not be available to growers after 2005. As a consequence, herbicides will become more important in weed control programs for omamentals. A number of herbicides are registered for some ornamental crops. Terbacil belongs to the uracil chemical family. This herbicide inhibits photosynthesis by binding to the Qb-binding niche on the D1 protein of the photosynthesis II complex. Terbacil controls many annual broadleaf and grass weeds, including common chickweed (Stellaria media (L.) Vill.), henbit (Lamium amplaxicaule L.), common lambsquarters (Chenopodium album L.), prickly lettuce (Lactuca serriola L.), crabgrass (Digitaria spp.), downy brome (Bromus tectorum L.), foxtail (Setaria spp.), ryegrass (Lolium spp.), and bamyardgrass (Echinochloa crus-galli (L.) Beauv.), with partial control of nutsedge (Cyperus spp.). Its half life is four months (Vencill 2002). Imazapic, imazaquin, and halosulfuron are herbicides that inhibit acetolactate synthase (ALS), a key enzyme in the biosynthesis of the branched-chain amino acids isoleucine, leucine, and valine. Imazapic and imazaquin belong to the imidazolinone chemical family while halosulfuron belongs to the sulfonylurea chemical group. Their main symptoms are growth inhibition, chlorosis, and necrosis. Halosulfuron applied pre emergence does not inhibit seed germination, but as soon they emerge symptoms are observed. In addition halosulfuron persistence varies with the soil type from 7 to 34 days (V encill 2002). Halosulfuron applied foliarly at 0.009 and 0.018 kg/ha provided 87 to 91% purple nutsedge control and 79 to 84% yellow nutsedge control. Regrth measurements taken 5 WAT showed 88 to 90% reduction in purple nutsedge resprouting and 75 to 83% 72 reduction in yellow nutsedge resprouting (Hurt and Vencill 1994a). Halosulfuron applied with 0.25 and 0.5% (v/v) adjuvants such as X-77, Scoil, Sun-It II, Agridex, and Action “99”, injured Japanese holly, forsythia, green liriope, and weigela but not ‘Blue Girl’ holly (Ilex x meserveae S.Y. Hu ‘Blue girl’) (McDaniel et a1. 1999). Azalea, redtip photinia, green liriope, white petunias, red petunias, lavender petunias, celosia, vinca, African marigold, bronce-leaved begonias, and purple salvia tolerated 0.009 and 0.018 kg/ha of halosulfuron (Hurt and Vencill 1994a). In addition Ilex x meserveae S.Y. Hu ‘China girl’ showed no visual injury or growth reduction from applications of halosulfuron at 0.017, 0.035, 0.070 kg ai/ha, imazaquin at 0.035, 0.070, 0.14 kg ai/ha or isoxaben at 0.56, 1.12, 2.24 kg ai/ha (Altland et a1. 2000). Imazaquin provided excellent control of large crabgrass (Digitaria sanquinalis (L.) Scop.), redroot pigweed, Pennsylvania bittercress (Cardamine pennsylvanica Muhl. ex. Willd.), common chickweed, yellow woodsorrel (Oxalis stricta L.), and creeping woodsorrel (Oxalis comiculata L.) at 0.56 kg ai/ha for 14 weeks, but was phytotoxic to vegetative azaleas (Moore et a1. 1989). Imazaquin was one of the most effective PRE treatments for reducing yellow nutsedge shoot weight. Furthermore, imazaquin applied POST reduced yellow nutsedge shoot weight by 72 to 87% at 2 WAT, comparable to chlorimuron , pyridate, bentazon, and g1yphosate(Derr and Wilcut 1993). Hurt et al. (1994a) obtained 70 to 77% yellow nutsedge control and 56 to 59% purple nutsedge control with imazaquin applied at 0.430 kg/ha and 0.560 kg/ha, respectively. Foliar applications of imazapic at 0.07 g/ha controlled 95% of purple nutsedge and 61% of yellow nutsedge; however Azalea 'Macrantha Orange' was not tolerant to any of the imidazolinone herbicides tested. Green liriope was tolerant of all herbicide 73 treatments 4 WAT (Hurt and Vencill 1994b). The application method of imazapic can injure the following crop. Imazapic was more injurious to cotton when applied preplant incorporated to the preceding peanut crop, compared with postemergence application. Imazapic applied preplant incorporated at 0.07 and 0.14 kg/ha visibly injured cotton 19 to 58%. The same rate applied postemergence caused minor injury to cotton but did not affect yield (York et al. 2000). The incorporation of adjuvants in the tank mix can affect the herbicide efficacy. The benefit of adjuvants appears greater for imazethapyr than imazapic. No advantage in purple nutsedge control was observed when adjuvants were added to imazapic (Grichar and Sestak 2000). Imazaquin visibly injured barberry (10 to 18%), liriope (0 to 21%), daylily (0 to 25%), compacta “holly” (0 to 8%), azalea (35 to 39%), photinia (0 to 19%), and did not injure Burford holly and juniper. Imazaquin at 0.25 and 0.5 kg/ha reduced growth of azalea, liriope and day1i1y(Derr and Wilcut 1993). Visual ratings may not detect injury from imidazolinone herbicides to certain nursery species. Although no observable injury Was evident 5 WAT, imazethapyr reduced juniper size indices. There are different responses between woody nursery crops and herbaceous species; the woody nursery crops outgrew the visible damage from chlorimuron observed 5 WAT as no reduction in size was noted 10 WAT. However, growth of the herbaceous species liriope and daylily was reduced by this herbicide, indicating that chlorimuron has a greater potential for use in woody species (Derr and Wilcut 1993). 74 F lumioxazin belongs to the N-phenyphtalimide chemical family. It gives good preemergence control of many broadleaf weeds, including common ragweed, common lambsquarters, velvetleaf, pigweed, and black nightshade (Solanum nigrum L.). The mode of action is believed to be inhibition of protoporphyrinogen oxidase, an enzyme important in the synthesis of chlorophyll; after absorption, porphyrins accumulate in susceptible plants causing photosensibilization, which leads to membrane peroxidation. Plants emerging from treated soil become necrotic and die shortly after sunlight exposure (V encill 2002). Flumioxazin affects photosynthesis by reducing foliar chlorophyll and carotenoid contents, gas exchanges and alteration in plastid structure. As a result, plantlet growth was greatly inhibited (Saladin et al. 2003). Hydrolysis and photolytic degradation rate increased with the pH increase, and the degradation products formed by photolysis were the same as those formed by hydrolysis (Kwon et al. 2004). Flumioxazin alone controlled giant foxtail (Setariafaberi Herrrn.) 18-81%, velvetleaf 83-88%, common ragweed 79-83%, ivyleafmomingglory(1pomoea hederacea (L.)) 92-93%, and common waterhemp (Amaranthus rudis Sauer) 48-100%. Velvetleaf and ivyleaf momingglory control with flumioxazin was improved with the addition of clomazone plus chlorimuron or pendimethalin plus chlorimuron (N iekamp and Johnson 2001). The water dispersible granular formulation of flumioxazin at 0.19 kg ai/ha was the only treatment that caused injury on Spirea bumalda. The injury declined 4 weeks after application. In addition, this treatment resulted in the best large crabgrass and tall momingglory control. On the other hand, the poorest weed control was observed with the lowest rate (0.19 kg ai/ha) of the granular flumioxazin. Combinations with other herbicides such as isoxaben, dithiopyr, or dinitroaniline herbicide may increase and 75 broaden the weed control spectrum (Czamota et al. 2001). Flumioxazin at 0.28, 0.42, and 0.56 kg ai/ha was safe on 'Nellie R. Stevens' holly (Ilex x 'Nellie R. Stevens'), arbivitae (Thuja occidentalis 'Emerald'), and 'Green Luster' holly (Ilex crenata 'Green Luster'), but injured ‘Goldmound' spirea (Spirea x 'Goldmound') and daylily (Hemerocallis x 'Stela de oro') (Wooten and Neal 2001). Isoxaben belongs to the benzamide chemical family. Isoxaben can be applied in established turf, omamentals, nursery stock, non-bearing fruit trees, and Christmas tree plantations. Isoxaben controls common chickweed, clover spp., dandelion (T araxacum oflicinale G.H. Weber ex Wiggers), henbit, prostrate knotweed (Polygonum aviculare L.), plantain spp (Plantago spp), and many other animal broadleaf weeds. If applied pre- emergent, susceptible weeds fail to emerge. Isoxaben inhibits cell wall biosynthesis and broadleaf weeds show stunting, reduced root growth, root hair distortion, and root clubbing (swelling of meristematic and elongation zones) symptoms, similar to those caused by dinitroaniline herbicides. Isoxaben persistence in soil is moderate to long, with a half life of 50 to 120 days in field conditions; weed control extends to 6 months (V encill 2002). Isoxaben at 0.84 and 1.1 kg ai/ha did not provide acceptable control of large crabgrass, but prostate spurge (Euphorbia humistrata Engelm. Ex Gray) was controlled 62 and 80%, respectively (Skroch et al. 1994). When the active ingredients isoxaben and oryzalin were appplied in combination, weed control was better than that provided by either compound alone. Isoxaben plus oryzalin at 4.48 kg ai/ha and a tank mix of isoxaben (1.12 kg ai/ha) plus oryzalin (3.36 kg ai/ha) provided the best weed control, reducing the weed numbers by 93 to 99% respectively compared to control (Calkins et al. 76 1996). Isoxaben applied to dwarf burning bush (Euonymus alatus (Thunb) Sieb. ‘Compacta’) foliage caused 20 to 30% injury, but only slight reductions in root and shoot weight were observed. On the other hand, isoxaben at 0.84 and 1.69 kg/ha did not reduce shoot and root weight in wintercreeper (Euonymusfortunei (Turcz.) Hand. Mazz. ‘Colorata’ (Salihu et al. 1999). Trifluralin belongs to the dinitroaniline chemical family. It is labeled for more than 80 crops. It is used on nursery stock, ornamental shrubs, groundcovers and established flowers. Trifluralin controls annual grasses and some small-seeded broadleaf weeds. This herbicide binds to tubulin, the major microtubule protein, resulting in absence of the spindle apparatus, thus preventing alignment and separation of chromosomes. Susceptible weeds fail to emerge, due to inhibition of coleoptile growth or hypocotyls unhooking. Roots appear stubby with thickened tips. The average life time in soil is 45 days for most soils, but depends on the temperature. Residues can persist to the following year with the possibility of crop injury (Vencill 2002). Granular Rout (Oxyfluorfen 2% plus oryzalin 1%, 3.36 kg ai/ha), Snapshot TG (trifluralin 2% plus isoxaben 0.5%, 4.2 kg ai/ha), Regal O-O (oxyfluorfen 2% plus oxadiazon 1%, 3.36 kg ai/ha), 0H2 (oxyfluorfen 2% plus pendimethalin 1%, 3.36 kg ai/ha), Corral (pendimethalin 2.68%, 2.24 kg ai/ha), and Pendulum 2G (pendimethalin 2%, 2.24 kg ai/ha) did not injure Hydrangea macrophylla and all treatments had greater than 94% weed control. Injury was induced by increasing the rate two and three times. However, no significant differences were observed after 14 days after application and hydrangea growth was not affected (Conwell et al. 2002). In addition, pendimethalin at 3.4 kg ai/ha or pendimethalin plus oxyfluorfen at 3.4 kg ai/ha or 6.7 kg ai/ha applied prior 77 to simulated shipping in an enclosed environment did not injure Japanese Barberry (Berberis thunbergii DC var. atropurpurea ‘Crimson Pygmy’) (Hubbard et al. 1992). 'Mary Nell' holly [(Ilex cornuta "Burfordii' x I. pemyi 'Red Delight') x I latifolia] was not injured by pendimethalin, oryzalin, oxyfluorfen, isoxaben and simazine more than 10%. Norflurazon produced temporary discoloration of the older foliage. Growth indices were not influenced by any herbicide treatment (Reeder et al. 1994). Similar results were obtained by Derr et al. (1996), when he found that plant size of holly (Ilex aquifolium L. x Ilex cornuta Lindl.) treated twice annually with oryzalin plus isoxaben over a two year period was not different from those treated with oryzalin plus simazine or oryzalin plus oxyfluorfen; however oryzalin, suppressed shoot grth of Chinese holly (Ilex comuta Lindl.). In addition, Ruter et a1. (1992) found that dinitroaniline herbicides such as oryzalin and pendimethalin reduced the root growth of ‘Helleri’ holy (flex crenata Thunb. ‘Helleri’). Ilex cornuta Lindl. and Praxt. ‘Needle point’ holly was injured by the three formulations but injury was greater with the granular formulation of prodiamine at 1.68 kg ai/ha (Briggs and Whitwell 2002). Isoxaben at 1.1 kg/ha did not reduce shoot fresh weight of Rhododendron spp, but reduced shoot fresh weight of English ivy (Hedera helix L.) and common lilac (Syringa vulgaris L.) (Derr and Salihu 1996). Azalea (Rhododendron indicum x ‘Macrantha Orange’) was susceptible to imazaquin, imazapic, and imazethaphyr, which caused cholrosis, leaf tip necrosis, and loss of apical dominance. Even though azaleas treated with these herbicides produced more flowers, those were slightly discolored and smaller. In addition, the imidazolinones 78 reduced juniper growth 17 to 35%, but they did not reduce liriope grth 4 WAT. The only taxa tolerant of imazethapyr was French marigold (Hurt and Vencill 1994b). Ornamental plant tolerance to herbicides depends on many factors, but one of the most important factors is plant genetics. In the experiment we evaluated crop injury and grth distortion in response to selected herbicides. This information will provide growers new managerial practices for weed control in ornamental production, therefore less MB dependency to achieve their weed control objective. MATERIALS AND METHODS Ten ornamental species: Japanese Barberry (Berberis thunbergii ‘Burgundy Carousel’); Redosier Dogwood (Camus stolonifera ‘Alleman’s Compact’); Winged Euonymus (Euonymous alatus ‘Chicago Fire’); Panicle Hydrangea (Hydrangea paniculata ‘Kyushu’); Holly ‘Blue Prince’(Ilex x ‘Blue Prince’); White Spruce (Picea glauca ‘Dwarf Alberta’); Japanese Spirea (Spiraeajaponica ‘Fire Light’); Preston Lilac (Syringa x prestoniae ‘Donald Wyman’); Anlojap Yew (T axus media ‘Browni’); and White Cedar (Ihuja occidentalis ‘Holmstrup’) were planted at the Horticulture Research and Teaching Center located near East Lansing, MI. All these plants belong to the class Magnoliopsida except for Thuja occidentalis, T axus media, and Picea glauca which belong to Pinopsida class. The soil type was a clay loam with a range of 28 to 42% sand, 28 to 36% silt and 30 to 36% clay, and pH ranging from 6.5 to 7.1. P, Mg and K were not limiting factors. The plant materials were obtained fi'om a local nursery. 79 The plants were planted on June 30 and July 1, 2003 using a mechanical transplanter. Each replication had 10 rows and each row was planted with one species. The species order in each replication was randomly assigned. Distance between plants was 30 cm with 120 cm between rows and the row length was 40 m. The first quarter (10 m) of the row was used to set up the plots; the last quarter of each row was reserved for the next year (2004) experiment. Herbicide plots were arrange perpendicular to the plant rows and they were 1.5 m wide and 11 m long and each plot crossed the ten ornamental species. For the crop evaluation (injury and size index) a split block design with 4 replications was used, being treatments the main plot and species the subplot. Weed control evaluation was analyzed as a randomized complete block design. Terbacil (1.12 kg ai/ha), imazapic (0.07 kg ai/ha), imazaquin (0.42 kg ai/ha), halosulfuron (0.035 kg ai/ha), flumioxazin granular (0.28 kg ai/ha), isoxaben (1.12 kg ai/ha) plus trifluralin (0.84 kg ai/ha) were applied over the top of the plants on July 14, 2003. An untreated plot was left as a control. Herbicides were applied using a C02 backpack sprayer with a two nozzle boom (FF 11002, Teejet® nozzle, Spraying Systems Co, Wheaton, Illinois) at 207 kPa with 187 L/ha output. Flumioxazin granular was applied manually with a shaker. After planting, plots were irrigated to incorporate the herbicides into the soil. At the application time air temperature was 26 C, relative humidity 43%, 15% cloudy; soil was dry and soil temperature was 26 C. At application, a few common lambsquarters, 1 to 3 cm, and redroot pigweed, 1 to 4 cm height were present. 80 Ornamental injury and weed control were evaluated on July 22, July 29, August 4 and August 28, 2003. Plant injury was rated from 1 to 10; with 1 indicating no injury and 10 indicating a dead plant. Chlorosis, necrosis, and malformation or distorted growth and the degree of those symptoms were the parameters used to evaluate injury. Weed control was rated visually from 1 to 10, with 1 indicating no control and 10 indicating 100% control. Weed control was evaluated for each weed species present in the control plot. Plant size index was measured on November 14, 2003 and J une 3, 2004 and was calculated by using the following formula: (height + width)/2. Three plants from each species were measured, and the average of those three was used for the statistical analysis. In 2004, plants at the opposite end of the row were used for the experiment. All procedures were the same as 2003. Weeds were pulled within the row on June 3 and weeds between rows were mechanically removed. Plots were sprayed with the corresponding treatments on June 25. Air temperature was 19 C, wind speed 11 km/h, soil temperature 23 C and 10% cloudy at time of application. Weeds within the rows were hand-weeded frequently in order to prevent competition with plants. Plant injury was evaluated on July 9, July 23, August 5, 2004, and weed control was evaluated on August 5, and August 20, 2004. Size index was measured on November 12, 2004. 81 RESULTS AND DISCUSSION If the herbicide by year interaction was significant, mean separation was done for each year; if not significant, means were pooled across years. For statistical analysis, the 2 and 6 week after treatment (WAT) evaluations for each year are presented. Herbicides did not cause injury on Ilex ‘Blue Prince’, Picea glauca, T axus media, and Thuja occidentalis at 2 WAT except for terbacil and flumioxazin which produced 2.3 injury on Ilex ‘Blue Prince’ in 2004 and for imazapic and halosulfiiron which injured 2.0 and 2.8 T axus in 2004; however these treatments were safe in 2003 (Table 1). Furthermore, Ilex ‘Blue Prince’, Picea glauca, T axus media, and Thuja occidentalis were not injured by any treatment at 6 WAT in either year (Table 2). That agrees with McDaniel et al. (1999), who found that ‘Blue Girl’ holly (Ilex x meserveae S.Y. Hu ‘Blue girl’) was tolerant of halosulfiiron. Altland et a1. (2003) also found that China girl holly (Ilex x meserveae S.Y. Hu ‘China girl’) was tolerant to halosulfuron, imazaquin or isoxaben; however, imazaquin visibly injured Japanese holly (Ilex crenata ‘Compacta’) but not Burford holly (Ilex cornuta 'Burfordii'). In our research, the woody omamentals Ilex ‘Blue Prince’, Picea glauca, T axus media, and Thuja occidentalis were the most tolerant plants. Derr et a1. (1993) suggested that chlorimuron had greater potential in woody omamentals. In addition, Wooten at al. (2001) found that flumioxazin was safer on woody omamentals, Ilex x ‘Nellie R. Stevens’, Ilex crenata ‘Green Luster’, and Thuja occidentalis ‘Emerald’, rather than in herbaceous plant Spiraea x ‘Goldmound’. Terbacil at 1.12 kg ai/ha caused the most injury to all species evaluated at 2 and 6 WAT for both years, except for Syringa x prestoniae which was not injured in 2003, but 82 had 5.8 injury in 2004 at 6 WAT, and for Euonymous alatus which was not injured at 2 WAT, but had 4.5 injury at 6 WAT. Imazaquin, imazapic, and halosulfuron had similar injury effect. At 2 WAT these treatments caused injuries on Berberis thunbergii, and Cornus stolonifera in both years, and Hydrangea paniculata in 2004. At 6 WAT, injury rates were higher in these species except for halosulfuron which was not different from the control in Berberis thunbergii in 2004 and Hydrangea paniculata in both years. Imazquin and halosulfuron injured slightly Syringa x prestoniae, with ratings of 2.5 and 2.8, respectively in 2004, but not in 2003. In addition imazaquin and imazapic injured Spiraea japonica 3.1 and 3.5, respectively. F lumioxazin was one of the safest herbicides in all the crop species. Even though some injuries were observed in Hydrangea in 2004 and Spiraea in both years at 2WAT, when evaluated at 6 WAT none of the treatments were different form the control. Isoxaben plus trifluralin was the safest treatment. It did not cause injury in any of the species evaluated at 2 and 6 WAT. Euonymous alatus did not show injury in our study; however, Derr et a1. (1996) reported 20 to 30 % injury with isoxaben to Euonymous alatus (Thunb) Sieb. ‘Compacta’, but only slight reductions in root and shoot weight. This treatment was safe on Hydrangea paniculata. Similar results were reported by Conwell et al. (2002) with Hydrangea macrophylla. Plant size index analysis is shown in Table 3. Measurements taken in November, 2003 and 2004 were used for the statistical analysis. Since interaction of species by year was significant in Camus stolonifera, data for this species is presented by year. Treatments applied to all species did not have any differences compared to the control 83 except for Cornus stolonifera and Spiraea japonica. None of the treatments were different (PS0.05) from the control in Spiraeajaponica. Treatments applied to Cornus stolonifera were not different from the control in 2003; but in 2004, imazaquin and imazapic treatments resulted in the smallest plants, and plants treated with flumioxazin resulted in the largest plants. As mentioned previously, injury produced to Cornus stolonifera by imazaquin and imazapic reduced grth and resulted in the smallest plants. Weed control ratings are presented in Tables 4 for 2 WAT and 5 for 6 WAT. Terbacil had the best broadleaf weed control at 2 and 6 WAT. Imazaquin and flumioxazin effectiveness was comparable to terbacil at 6 WAT, with some exceptions. Imazaquin did not control common lambsquarters in 2003 and flumioxazin was less effective in controlling common lambsquarters in 2003, and common groundsel and common chickweed in 2004. Imazapic gave poor redroot pi gweed and common lambsquarters control in 2003, but gave good control in 2004. Imazapic controlled all weeds evaluated within a range of 8.3 to 9.8, and had acceptable control of common purslane (7.5) and common groundsel (6.3) at 6 WAT. Halosulfuron provided variable weed control among weed species. It had the best control of common groundsel, curly dock, and redroot pigweed in 2004 at 6 WAT; however, it gave fair control (3.0 to 8.3) of the rest of the species evaluated. Isoxaben plus trifluralin gave good weed control at 2 WAT, except for common mallow (4.0). Redroot pigweed and common lambsquarters control was fair (7.0) at 2 WAT in 2003, but weed control was one of the highest at 6 WAT in 2004. Isoxaben plus 84 trifluralin had poor control of dandelion (4.0), but controlled eastern black nightshade, common purslane, common groundsel, common chickweed, and curly dock within a range of7.2 to 8.8. Terbacil, imazaquin, and imazapic had the best grass control in all species evaluated except for imazapic, which gave only fair control of annual bluegrass at 2 and 6 WAT (Table 6). In general, halosulfuron, flumioxazin, and isoxaben plus trifluralin provided poor grass control. However, flumioxazin and isoxaben plus trifluralin provided 10 and 7.8 control of witchgrass at 6 WAT, respectively. CONCLUSIONS Herbicide tolerance was clearly different among species. Herbicides applied were safe to woody omamentals belonging to the Pinopsida class: Ilex, Picea glauca, Thuja occidentalis, and Taxus media. Size index (plant growth) was not affected by any of the treatments in these species. Terbacil was one of the best treatments for weed control but injured most of the crop species evaluated. Even though those injuries were not reflected in the size index, injuries were severe and would affect plant marketability. In general, the higher weed control the higher injury observed on crops; however, flumioxazin and isoxaben plus trifluralin were the safest herbicides and they had a relatively high weed control. Crop injury and weed control was variable among years. More specific, injuries were different between years in Berberis thunbergii, Cornus stolonifera, and Syringa x prestoniae, and weed control was different in common lambsquarters and redroot 85 pigweed. More knowledge about herbicide variability between years is required in order to improve safety of herbicide application in omamentals. Herbicides tested have the potential to effectively control weeds in the ornamental plants evaluated, and they have the potential to replace MB application when used for weed control purposes. Herbicide combinations, application methods, formulations, and rate of application are areas where research is required in order to achieve a higher crop safety and a wider weed control spectrum. 86 References: Altland, J .E., C.H. Gilliam, J .W. Olive, J .H. Edwards, G.J. Keever, J .R.J . Kessler, and DJ. Eakes. 2000. Postemergence control of bittercress in container- grown crops. J. environ. hortic. 18:23-28. Anonymous. 2004. Agricultural chemical uses 2003. Nursery and floriculture summary [Online]. Available by United States Dept. of Agr. - National Agr. Stat. Serv. http://u_&1.mannlib.comell.edu/reports/nassr/other/pcu-bb/aggn09(Mdf (posted September 2004). Briggs, J ., and T. Whitwell. 2002. Effect of prodiamine formulation on injury to omamentals. SNA Res. Conf. 47:384-388. Calkins, J .B., B.T. Swanson, and D.L. Newman. 1996. Weed control strategies for field grown herbaceous perennials. J. environ. hortic. 14 (4):221-227. Conwell, T., D. Findley, K. Tilt, and H. Ponder. 2002. Evaluation of herbicides for preemergence weed control in container-grown Hydrangea. SNA Res. Conf. 47:380-383. Czarnota, M.A., J .N. Barney, and L. AWeston. 2001. Evaluation of weed control in three container grown omamentals to flumioxazin. SNA Res. Conf. 46:427-432. Derr, J .F ., and W. Wilcut. 1993. Control of yellow and purple nutsedges (Cyperus esculentus and C. rotundus) in nursery crops. Weed Technol. 7:112-117. Derr, J .F., and S. Salihu. 1996. Preemergence herbicide effects on nursery crop root and shoot growth. J. environ. hortic. 14:210-213. Grichar, W.J., and DC. Sestak. 2000. Effect of adjuvants on control of nutsedge (Cyperus esculentus and C. rotundus) by imazapic and imazethapyr. Crop Protection 19:461-465. Hubbard, J ., T. Whitwell, and J. Kelly. 1992. Influence of herbicides on shipping quality of landscape plants. J. Environ. Hortic. 10:17-18. 87 Hurt, R.T., and WK. Vencill. 1994a. Phytotoxicity and nutsedge control in woody and herbaceous landscape plants with manage (MONl 203 7). J. environ. hortic. 12: 135-1 37. Hurt, R.T., and WK. Vencill. 1994b. Evaluation of three imidazolinone herbicides for control of yellow and purple nutsedge in woody and herbaceous landscape plants. J. environ. hortic. 12:131-134. Knox, G., T. Momol, R. Mizell, and H. Dankers. 2003. Crop timeline for nursery-grown evergreens and shade trees. Prepared for the US EPA. Office of pesticides programs. North Florida Res. and Educ. Ctr, Inst. of food and Agr. Sci., University of Florida, Quincy. Kwon, J .W., K.L. Arrnbrust, and TL Grey. 2004. Hydrolysis and photolysis of flumioxazin in aqueous buffer solutions. Pest Mgt. Sci. 60:939-943. Mathers, H., and L. Case. 2003. Novel methods of weed control of containers. Hort. Technol. 13:28—34. McDaniel, G.L., D.C. Fare, W.T. Witte, and RC. Flanagan. 1999. Yellow nutsedge control and nursery crop tolerance with manage as affected by adjuvant choice. J. environ. hortic. 17:1 14-1 19. Moore, B.A., R.A. Larson, and WA. Skroch. 1989. Herbicide treatment of container- grown 'Gloria' azaleas and 'Merritt Supreme' hydrangeas. J. Am. Soc. Hortic. Sci. Alexandria, Va. : The Society. 114:73-77. Niekamp, J .W., and W.G. Johnson. 2001. Weed management with sulfentrazone and flumioxazin in no-tillage soyabean (Glycine max). Crop Protection 20:215-220. Reeder, J .A., C.H. Gilliam, G.R. Wehtje, D.B. South, and G.J. Keever. 1994. Evaluation of selected herbicides on field-grown woody omamentals. J. environ. hortic. 12:236-240. Ruter, J .M., and NC. Glaze. 1992. Herbicide combinations for control of prostrate spurge in container-grown landscape plants. J. Environ. Hortic. 10:19-22. 88 Saladin, G., C. Magne, and C. Clement. 2003. Impact of flumioxazin herbicide on growth and carbohydrate physiology in Vitis vinifera L. Plant Cell Rep. Berlin 21 :821- 827. Salihu, S., J.F. Derr, and K.K. Hatzios. 1999. Differential response of ajuga (Ajuga reptans), wintercreeper (Euonymusfortunei), and dwarf burning bush (Euonymus alatus 'Compacta') to root- and shoot-applied isoxaben. Weed Technol. 13:685- 690. Skroch, W.A., C.J. Catanzaro, A.A. Hertogh, and LB. Gallitano. 1994. Preemergence herbicide evaluations on selected spring and summer flowering bulbs and perennials. J. environ. hortic. 12:80-82. Vencill, W.K. 2002. Herbicide handbook. 8 ed. Weed Science Society of America, Lawrence, KS. Wooten, RE, and J .C. Neal. 2001. Pre-emergence weed control in container omamentals using flumioxazin. SNA Res. Conf. 46:425-426. York, A.C., D.L. Jordan, R.B. Batts, and AS. Culpepper. 2000. Cotton response to imazapic and imazethapyr applied to a preceding peanut crop. J. cotton sci. Memphis, TN 4:210—216. 89 .28.» $88 woo—eon 203 888 was GodAb Eng—mama «on 85283 an» .3 be? nob 48$".on «on .8» .: aqua vane NE 55.2: on HS 3an 2 B _ Sea 262» 33 9.8— N modnm 3 888.50 bane—hams 8a 2a .620— oEam 05 55 8:38 a £55 882 _ 2: 2: 2: 2: 2: 2: 2: 2: 2: 2: 2: 2: 2: -- 3328: 2: of: 2: a: £2 2: 2: 2: 2: 3: a: 92: BE :3 533:5 + 2 .2 + 8323: 2: 83 «N: a: fi.~ 2: a2 2: 2: f: «S 0: Bao.~ ”No 582.85 a N; a «N a o; a h; on m._ a 0; on M; a Q— n wd n m4 a a: n wd on EN 256 acne—32am a 3 an o.~ a o._ a w; on o; m o._ one B; a o._ a m.~ a m._ a a: 9 Wm on ad Ed owa§_ no; 2;; am; am; one; no; can; no; nmd no.~ a mm seam nfim $3 53325 a m._ 3 M: a N; a On a On a 2 a m.N a o; a Wm e ed a mm a as. a cs N: museum. wanufl g?— 38 82 38 88 38 88 2% we: «.35. mash. «weEm «aim «85 xoa «omega: Snag—m 3:80 mtofiom 85m .5585. _.:o:eo=&e 0203.5: monomeoaooa Ste 8.33 N be? :33 35:38 ._ £an 90 .980.» $800 9:er 203 0:008 new AmodAmv “gouge: 8: eouofioufi .80» ,3 be? Q80 4.058% “on .80» : den—m 0000 US SB? 0: n: 2000 3 9 ~ Bob 308m 83 is? .modnm “a «dosage 353$?me we: 03 0030— 08mm 05 55 5:38 a 555 0502 2 so; «o: 0o._ 0o; 0o._ no; no; 0o; 09— 0A: 0o; 0o._ co; -- 003283 a o: a 2 0p m; a m._ 0n— o.~ a o: a N4 0 m._ 9 ON 0 n; 009 Om on Nd 00 5.». end :2ch + N: + 5938.».— 0o._ no; 2;.— mmg 09mm no; a: 0m: 0cm; 0o; 00 w: 02 v~.m wmd 3088535 0 o; a .1 n w.~ 0 mg 0n _.N a o; a 2 0 5.: 0n a; a fin 0&0 ed on n; 0n we mmod u0h¢300_mm m o; a v; on QN 0 On 0 m6. 0 o: a 2 9 Wm 0: a; 0 ed n0 3. n M.M. an cs 36 0830:: a o._ 0 04 n Wm 0 mg 90 mm a 2 a e; an N6 09 a; a m.w a wé p m.m on m.w $3 :30; m A: 0 mg 0 m6 0 ed 0 EM 0 2 a v4 0 N.m 0 m4. 9 mé m We 0 On a 50 N: moafioh mweufi be? 38 88 33. 88 38 88 «ea 0: NEE. 308,—. swim «Sam «005 08: mongm .xeozm 0:980 $.5an 80M 30.5005. ..eoueozaam 0305.5: ooeowuoeooa Home 03003 c “a be? :83 355050 .N 033. 91 .3588”: So» an 860% mo ouaomoa 2 26 use» 3 @8585 i meEoNSm $3.89 8m San— ~ £523 + 2305 ”SB—:8 9.50:8 06 mam: 33:28 $3 52: ans Ema .modnm “a Beanbag basemawa 8: 0.8 Buo— 088 05 55 8:38 a 55:» £802 _ a 02 a QE a w.: an w.m~ a 3N u ad— a 5mm a _.mu 3 cém a 02 “ Ndm -- 330.95 a 02 a «SN a W: a m.m~ a 9mm a Qm— a Nmm a Ymm a wax». u 3: a OR 33 .5ch + N: + nonmxofl a 0.8 a YNN a N: a flow. a 9mm a 03 a 03 m ~43 a ~Vow a 92 a fiom wmd Enaxog—m a _.o~ a mdm a 02 pa fivm a M.MN a w.m~ a m.m~ a fivm ow fimm a w.m_ a N.w~ 386 853831 a v.2 a :N a Q: n m._~ a N.m~ a <2 a «.2 “ m._~ v v.3 a m.m_ a Nam 36 03395 a mdm a EON a Q: n ~.NN a fivm a v.3 a “.8 a m.m~ v 1mm a O: a 93 No.6 §c§~ a «(:2 a QNN a 72 an 0: a Nam a v.3 a 93. a 5.3 on Ném a v.2 a m.w~ N: zone—oh Eu 38 88 as“ 3 ABE. Esau. «mam «chum «35 x0: «ownflgm 583m Nmsfiou €3.35 88 Hogan; «38 as 88 “35202 so :83 52: Be an: .m 29¢ 92 6830.30 8888 nmEmHm 4895on "DZ/Em £5th "8888 "AOMOA .3285? x83 88mm» HEAOm 9053382 5888 n4me 2E? meow E wound—«>0 Bo? BIS/‘2 28 5232 48:85:: was Ame DOM—Om ‘Emmo mzqsz mag 8nd 8253? _.Eo§mob Ban axon? N “a 35:8 803 .v £an 93 :38 >35 nave/SM dam—8:8 umOfiH 38.5330 8.588 um—Emhm 38:83 "DZ/Hum 6:385: 8888 "AOMOA 685583 583 E88 "HmAOm £88358“— :oEEoo "Ash—:0 .3238 8.588 an‘HSZ .8on3 5858: "mm/‘32 “85m: 383 5:89:88 3: 83 :8» 3 83585 858855 85 38838 3: :8» .z .83 8 >30 mOM0 203 MUEDM :8 mzmhm .88825 :8» .3 020385 9 26 8% 3 8588:: 08 8:58 35:8 4550 38 mas)? N A3580 803 08388 "2 35:8 583 o: u: 038 3 8 _ a mam: 839% 83 35:8 :83 36H: 8 58553 >582.“in 3: Pa 852 2:8 25 553 8:28 a 5553 882 _ 2: 03 E: E: E: 2: 2: E: E: 2: 2: -- 3825 8 8 B 8 a 8 a 8 3 8 a 8 a 8 o 8 o 8 a 8 a 8 «8 £353 + N: + :38: a 8 8 8 o 8 a 8 fi 8 a 8 an 8 n 8 a 8 a 8 a 8 85 53035; as 8 B 8 B 8 a 8 o 3 o 3 a 8 o 8 no 2 a 2 a 8 88 8538:: a 8 a 8 a 8 o 8 B 8 a 8 p 8 o 8 a 8 a S a 8 So 2835 a. 8 a 2 a 2 a 8 Ba 8 a 8 a 2 o 8 a 8 a 2 a 8 N8 8855 a 2 an 8 a 8 a 8 a 8 a 2 a S a S a 8 an 8 a 8 8: =89“; awn—58 35:00 38 88 38 38 88 38 88 2% ma 82:: ”3:8 :58 828 8:2 5:8 888 mzi: N88 33: 3885 _ 58:58.5 85mm 8.83 c 8 35:8 583 .m 28H 94 $8380 092 ”was .mmm:w5:§fiam "OUT—Um £85335 b33855 "MAQOA 833853 H» .modnm 5m 5:98.553 35:8—.586 3: 2a 350— 088 05: 553 :828 a 5553 882 _ no.5 2: 55.5 55.5 55.5 55.5 05.5 05.5 -- 588555 5 wd a mg. 5 5.5 0 Wm m 3 05 cs a 56 5 wé vwd 53.555 + N: + 8:85 05 5.5 a 55 5 2. 5 5.5 a S 5 5.: 5 ad 5 w.5 wmd 53:553.,— 05 Q5 5 5.: u 5.5 5 We a Wm u w.5 5 2. 5 wé mmod :o5a3mo3m 95m 9w a w.w 5m 9w o5 On a w.w 5: Wm a md 5 5.5 8.5 388:: 5a ad a 55 a md 5a ms a S a 5.: a 2 a 5.: ~66 5:58:8— 2: «S awd :55 «A: 3: m3 3: N: 53:55; 8:58 35:50 8303 5 8583 N :53 mm EOE 553. voom 05: :8 35:8 mo_8% 880 .5 253‘ 95 CHAPTER V: RESPONSE OF FIELD AND CONTAINER-GROWN CONIFERS SEEDLIN GS TO HERBICIDES 96 INTRODUCTION The Christmas tree and short rotation woody crop industries in the United States include almost 15,000 farmers. This industry sold $400 million of products in 2002. In Michigan there were 1,076 growers in 2002, which represents 7% of the total United States growers, and their sales reached $31 million in 2002 (Anonymous 2002). California, Florida, Michigan, Oregon, Pennsylvania, and Texas are the major producing states of nursery and floriculture crops (Anonymous 2004). Methyl bromide (MB) is a fumigant extensively used to control a broad spectrum of soil diseases. The woody ornamental seedling industry uses MB for fungi, weed, and nematode control, applying it to 75% of their acreage (Bird 2004). MB is an efficient fumigant to help achieve high yields and good quality; however, its use in field applications will be banned at the end of 2005. Bromine, which is one of the atoms present in the MB molecule, degrades ozone molecules in the stratosphere. The ozone layer protects the earth from incoming UV light. As a consequence of the ozone degradation, more UV radiation hits the earth, which causes human skin cancer or cataracts, and also may contribute to global warming (Miller 1996). The MB phase out will limit weed control tools available for the conifer industry. As a consequence herbicides will become more important for weed control. Growers in the major producing states of nursery and floriculture crops applied 2.16 million kg of pesticide active ingredients in 2003. Herbicides accounted for 20% (0.44 million kg) of the total pesticide use. Coniferous evergreens, Christmas trees, and deciduous shrubs account for 39% of the 0.44 million kg. The most commonly used 97 herbicides in this industry are glyphosate (26%), oxyfluorfen (8%), and oryzalin (6%) (Anonymous 2004). Shape, density, and height are the main factors in tree choice when consumers are selecting a Christmas tree (F lorkowski et al. 1992). Chemical weed control plays an important role in achieving those desired characteristics. Christmas tree qualities, such as foliage density and tree weight generally improved with more fiequent herbicide application. Furthermore, Colorado spruce (Picea pungens), Douglas fir (Pseudotsuga menziesii), and Fraser fir (Abiesfraseri) benefited more by the higher frequency of herbicide application than Scots or white pine (Pinus sylvestris, Pinus strobus) (Brown et al. 1989). In addition, herbicides reduced weed competition and improved first—year growth, and most of the species evaluated, including eastern white pine, showed a significant growth benefit from weed control (Seifert and Woeste 2002). Furthermore, Norway spruce growth during the late part of the growing season was increased by glyphosate application and fertilization treatment; however, allocation of growth to roots was highest in the herbicide treatment with glyphosate and lowest for the fertilization treatment (Nilsson and Orlander 2003). Weed control practices can greatly influence feeding damage to roots by grubs (e. g. Phyllophaga spp and Polyphylla spp), thus influencing wood volume and tree health. Tree plots treated entirely and in strips with herbicide contained the healthiest, least damaged trees with the highest wood volume, while supporting the lowest mean grub densities, l4 and 22 grubs per m2, respectively. On the other hand, mowed sod plots supported the densest grub populations and contained trees with the most severe root damage, lowest wood volume and poorest health (Kard and Hain 1987). 98 The application of molecular biology techniques such as genetic engineering has resulted in significant gains in many agricultural crops. Traits such as herbicide resistance have the potential to reduce weed control cost, particularly in high density plantations. Furthermore, Bishop-Hurley et al. reported transgenic conifers, Pinus radiata (D. Don) and Picea abies (Karst) to be resistant to glufosinate. Timing of application during the crop growing season, herbicide rate and part of the plant sprayed can greatly affect crop injury and severity. Metn'buzin at 1.12 kg/ha and hexazinone at 2.0 kg/ha applied in early spring and directed to hit the lower part of dormant trees caused unacceptable injury to white pine (Pinus strobus) but the herbicides were tolerated at half rate. Late season applications of glyphosate at 1.1 or 2.2 kg/ha, triclopyr ester at 1.1 or 2.2 kg/ha and dichlorprop at 2.2 kg/ha caused only minor injury to fraser fir (Abiesfraseri), balsam fir (A. balsamea) and white spruce (Picea glauca). In addition, glyphosate controlled a broad spectrum of perennial weeds and brush, including Rubus sp. On the other hand, white pine and Douglas fir (Pseudotsuga menziesii) were more sensitive to triclopyr and glyphosate in autumn (Ahrens and Dwyer 1982). Herbicide selectivity not only depends on herbicide active ingredient uptake, translocation and metabolism, but also depends on plant morphology and physiology. McNeil et al. (1984) found that foliar accumulation of 14C-hexazinone varied between tree species, being higher in loblolly pine, then in bur oak, then in black walnut and eastern red cedar, whereas tebuthiuron foliar concentration was higher in bur oak, then loblolly pine, then eastern red cedar and black walnut. Furthermore, the presence of hexazinone metabolites in loblolly pine suggest that it may be resistant to this herbicide as a result of its ability to degrade hexazinone (McNeil et al. 1984). However, Jensen et 99 al. (1990) found that hexazinone metabolism was similar in bristly dewberry (Rubus- hispidus L) and black chokeberry (Pyms melanocarpa) and the difference in concentration was because of a higher root:foliage (weight) ratio in black chokeberry. Green et al. (1992) found that Loblolly pine (Pinus taeda L.) and yaupon (Ilex vomitoria (L.) Ait.) absorbed significantly less glyphosate than red maple (Acer rubrum L.) or white oak (Quercus alba L.) and white oak accumulated more glyphosate in the roots compared to red maple. Preemergence application was more effective than postemergence application to control weeds grown from seeds. Isoxaben applied preemergence provided very good control of all weed species evaluated. However, applied postemergence, it was ineffective against many weed species tested. The activity of preemergence herbicides in containers was greater than in field situations, and the earliest application dates had the best weed control (Dixon and Clay 2004). Our objective was to compare and evaluate herbicide tolerance and weed control efficiency in seven species of conifers grown in field and containers. This research will provide Christmas tree growers with information that will improve weed control practices and allow growers to be less dependent on MB. MATERIALS AND METHODS Herbicide evaluation in seedlings grown in field 2003 experiment Douglas Fir (DF) — (Pseudotsuga menziesii), Black Hills Spruce (BHS) — (Picea glauca ‘densata '), White Spruce (WS) — (Picea glauca), Colorado Blue Spruce (CBS) — 100 (Picea pungens glauca), Eastern White Pine (EWP) — (Pinus strobus) were planted at the Horticulture Teaching and Research Center located near East Lansing, M1 on June 24, 2003. Tree species and height for the field and container experiment are shown in Table 1. The plant material was provided by Van’s Pine nursery, West Olive, MI. Tree roots were trimmed and moistened with wet paper and trees were stored at 3 C for l to 3 days until planted. Replications 1 and 2 of the experimental site were on a Marlette fine sandy loam, 2 to 6% slope that has moderately slow permeability. The third replication was on Colwood-Brookston loams that is poorly drained. A randomized complete block design was used as a model for the statistical analysis with 3 replications. Trees were machine planted on June 24, 2003. Each replication had one row of each seedling species. The species order among replications and treatments within replication were assigned randomly. The rows for one replication were 25 m long and trees were planted 60 cm apart and rows were 3 m apart. Plots were set across the species row and they were 12 m long and 3 m wide, corresponding to 5 trees of each species. A 1.5 m aisle between plots and a 3 m aisle between replications were left to separate treatments. Terbacil (1.12 kg ai/ha), imazaquin (0.42 kg ai/ha), flumioxazin granular (0.28 kg ai/ha), isoxaben (1.12 kg ai/ha) plus tn'fluralin (0.84 kg ai/ha), mesotrione (0.28 kg ai/ha), trifloxysulfiiron (0.01 kg ai/ha) were applied on July 16, 2003. An untreated plot was left for comparison. A rototiller was passed through to eliminate weeds between rows the day of herbicide application. However, a few weeds were present within rows, where the rototiller could not reach. These included common lambsquarters 2-8 cm, eastern black 101 night shade 2-4 cm, common purslane 2-8 cm diameter and redroot pigweed 2-8 cm height. Herbicides were applied using a C02 backpack sprayer with a four nozzle boom (8002 EVS nozzle) at 207 kPa with 187 L/ha output. Herbicides were sprayed over the top of the trees at an elevation of 50-60 cm and the spray orientation was along with the tree row. The theoretical coverage strip was 2.2 m leaving a small strip between rows that was not covered by the application. Flumioxazin granular was spread with a shaker. After application, the field was irrigated to incorporate the herbicides into the soil. At application time air temperature was 27 C, relative humidity 36%, 10% cloudy; soil was dry and soil temperature was 27 C. Weed control and tree injury were graded on July 28, August 4, August 11, and August 28, 2003. Weed control was visually evaluated on a scale from 1 to 10, meaning 1 no weed control and 10 complete weed control. Tree injury was visually graded from 1 to 10, meaning 1 no injury and 10 dead tree. Tree size index (growth index) was measured on October 30, 2003 and June 8, 2004. Size index of each tree was calculated by adding the highest and widest point and dividing by two (Briggs and Whitwell 2002). Five trees of each species were measured and the mean was used for statistical analysis. On the first date, dead trees were not considered to calculate the average; however, since dead trees could be caused by the herbicide effect, they were considered for the second measurement. 2004 experiment 102 For the second year experiment six conifer species were evaluated. Since white spruce and black hills spruce belong to the same genus and species, white spruce was deleted and replaced with Canaan fir (CA) - (Abies balsamea var. phanerolepis). Due to the importance of Fraser Fir (FF) - (Abiesfraseri) for the Christmas tree industry, this species was added. Tree species and their height are shown in table 1. The first row, which contained BHS in the replications 1 and 2 and EWP in the replication 3, was planted on May 13, 2004 and the rest of the rows were planted on June 9, 2004 due to weather conditions. The experimental site was located adjacent to the 2003 experiment, sharing the same soil characteristics. The same treatments as in 2003 were applied on June 18, 2004, including an untreated control. A rototiller was passed through 4 days before spraying to eliminate weeds between rows. In addition, no weeds were present at the application time, except for the first row, which was planted earlier and the rototiller could not be passed through. In that row, weeds were larger and grasses were the most predominant weeds. Herbicide application was done as in 2003, except for pressure, which was 248 kPa. The higher pressure increased our output to 205 L/ha (9.6% more compared to 2003). At application time air temperature was 25 C, relative humidity 55%, cloud cover was 30% and wind speed was 4 km/h from the west; the soil was dry and 27 C. Weed control and tree injury were rated on July 2, July 16, and July 28, 2004. Tree size was measured at planting and on November 11, 2004. Size index was calculated for both dates and the difference between dates was used for statistical analysis. Herbicide evaulation in seedlings grown in containers 103 2003 experiment Tree species and their height (cm) for both years are shown in the table 1. Seedlings were planted in 12 L containers and placed on a gravel pad on June 17, 2003. Soil used to fill pots was sandy loam. Long roots were trimmed off the seedlings before planting. A randomized complete block design was used for the statistical analysis with 4 replications and 10 treatments. Each plot had 5 trees of each species and they were one meter apart. The order of species in each replication was randomized as well as the treatments. Terbacil (1.12 kg ai/ha), imazaquin (0.42 kg ai/ha), flumioxazin (0.28 kg ai/ha), isoxaben (1.12 kg ai/ha) plus trifluralin (0.84 kg ai/ha), mesotrione (0.28 kg ai/ha), trifloxysulfuron (0.01 kg ai/ha), rimsulfuron (0.025 kg ai/ha), imazapic (0.070 kg ai/ha), and lactofen (0.28 kg ai/ha) were applied on July 18, 2003, and an untreated control plot was lefi for comparison. Herbicides were applied using a C02 backpack with a two nozzle boom (9502 EVS nozzle) at 207 kPa with 187 L/ha output. Treatments were sprayed over the top of the seedlings. Flumioxazin granular was applied using a manual shaker. Containers were watered after application. At application time air temperature was 24 C, relative humidity 59%, 15% cloudy and wind was 9 km/h from the NE. Soil in containers was moist. Tree injury was graded as in the field experiment on July 25, August 6, August 12, and September 6, 2003. Weeds in containers were counted on August 12, and September 6, 2003. Tree size index was measured in October 30, 2003 and June 14, 2004 (Briggs and Whitwell 2002). 104 2004 experiment For the second container experiment, sandy clay soil was used to fill containers. To prevent soil erosion, containers were filled first with 4 to 7 cm wood chips, and then soil was added to 3 cm below container top edge. Seedlings were planted on June 15, 2004. Treatments and equipment were the same as in 2003. Herbicides were applied on June 24, 2004. At application time air temperature was 17 C, relative humidity 52% and wind speed 10 km/h fiom west. Tree injury was graded on July 7, July 22, and August 5, 2004. Weeds species grown in the containers were counted on July 7, July 22, and August 5, 2004. Tree size was measured at planting date and on November 11, 2004, the size index (growth index) was calculated for both dates and the difference between those was used for statistical analysis. RESULTS AND DISCUSSION Results analysis and interpretation were based on data collected at 2 and 6 weeks after treatment (WAT) for injury and weed control in both years and in both experiments. If herbicide by year interaction was not significant, the average for both years was considered for mean separation; if significant, data was presented for each year. Field experiments Tree injury of all species in all treatments was not different from the control at 2 WAT for both years, except for flumioxazin which slightly injured CBS (Table 2). In 105 addition, treatments applied to white spruce in 2003, and Canaan and Fraser fir in 2004 did not differ fiom the control. There was no injury to CBS and EWP from any of the treatments at 6 WAT in both years and to WS in 2003. Terbacil application resulted in severe injury to BHS in both years, and to CA and FF in 2004 (4.8, 6.3, and 7.0 respectively). Injuries consisted of a generalized needle chlorosis and necrosis but more evident on the branch tips. The other treatments were not different from the control in BHS and CA. FF was injured 2.7 only by flumioxazin. Douglas fir analysis resulted in herbicide by year interaction, thus results were separated by year (Table 3). In 2003 at 6 WAT, no treatment caused significant injury on DF. However, in 2004, terbacil and mesotrione caused significant injury. Mesotrione injuries consisted of needle discoloration (white needles), which is a particular characteristic of this pi grnent inhibitor herbicide. The higher rate (9.6% more) used in 2004 could be the reason for this increased injury in 2004. Plant size index was not significant among treatments for all species on October 30, 2003 and on June 8, 2004 for the 2003 study. In the 2004 experiment, size index taken in November 2004, was not significant for all species. However, when considering the size index difference between planting date and November 2004 (Table 4), FF and BHS had significant differences in injury among treatments. In both species terbacil resulted in the smallest difference, but only in BHS was the herbicide treatment significantly smaller than the control. Terbacil, flumioxazin, mesotrione, imazaquin, and trifloxysulfuron had good control at 2 WAT on redroot pigweed (Amaranthus retroflexus L.) in both years and 106 common lambsquarters (Chenopodium album L.) in 2004 (Table 5). Common lambsquarters control in 2003 was poor with flumioxazin and trifloxysulfuron. All herbicides, except trifloxysulfuron, provided good eastern black nightshade (Solanum ptychanthum Dunal) control; also isoxaben plus trifluralin provided good control of this weed. The best common purslane (Portulaca oleracea L.) control was achieved with terbacil and flumioxazin, the rest provided control within a range 4.6 to 7.3. In addition, isoxaben plus trifluralin provided 4.3 and 4.0 control of redroot pi gweed and common larnsquarter in 2003 respectively. None of the applications gave 100% grass control; the best treatments for grass control were trifloxysulfuron, imazaquin, terbacil, and mesotrione, which controlled grasses in a range of 7.1 to 8.5. In addition, all treatments provided good control of common mallow (Malva neglecta Wallr.) at 2 WAT. Overall weed control at 6 WAT (Table 6) was similar to the control at 2 WAT. Terbacil, flumioxazin, mesotrione, and imazaquin gave good weed control on all weeds evaluated. However, flumioxazin had poor control of redroot pigweed and common lambsquarters in 2003, but these weeds were controlled almost 100% in 2004. Mesotrione had unacceptable common purslane control (4.0) and imazaquin had poor common lambsquarters control in 2003. Trifloxysulfuron and isoxaben plus trifluralin provided fair to poor control of common purslane in both years, and redroot pigweed, common lambsquarters, and common mallow in 2003. However trifloxysulfuron had excellent control of redroot pigweed and common lambsquarters in 2004, and isoxaben plus trifluralin provided good control over eastern black nightshade in both years and buckhom plantain in 2004. 107 F lumioxazin, imazaquin, trifloxysulfuron and isoxaben plus trifluralin provided a higher control of redroot pigweed and common lambsquarters in 2004 than in 2003. These weeds were already emerged when the preemergence herbicides were applied in 2003. Dixon and Clay (2004) reported that the earlier the preemergence herbicide application, the better the weed control. Probably in our 2003 study, the presence of small weeds already emerged was enough to reduce their control for the next weeks. At 6 WAT grass control was slightly reduced in all treatments. Terbacil, flumioxazin, imazaquin and trifloxysulfuron had the highest control (Table 6). Grass control by species was recorded in 2004 (Table 7). Species present in the plots were green foxtail (Setaria viridis (L.) Beauv.), witchgrass (Panicum capillare L.), large crabgrass (Digitaria sanguinalis (L.) Scop.), fall panicum (Panicum dichotomiflorum Michx.), yellow foxtail (Setaria glauca (L.) Beauv.), and bamyardgrass (Echinochloa crus-galli (L.) Beauv). Even though all treatments, except isoxaben plus trifluralin, had some grass control compared to the untreated control, none of them provided 100% control at 6 WAT. Container experiment Treatments applied to all species in both years did not result in any injury at 2 WAT (Table 8). At 6 WAT (Table 9), terbacil had the highest injury rate in all species except for DF and WS in 2003. Furthermore, the other herbicides were not different fi'om the control in DF, EWP, CA, FF and WS with some exceptions. Mesotrione injured DF, WS, 108 and FF 2.2, 3.0 and 1.7 respectively in 2004. Imazaquin slightly injured (1.7) FF in 2004, and lactofen injured EWP 3.8 both years. Contrary to the field experiment, the container study resulted in severe injuries to BHS for all treatments at 6 WAT, except for trifloxysulfuron. In addition, flumioxazin, imazaquin, trifloxysulfuron, imazapic, and lactofen resulted in injuries on CBS compared to the control. DF and WS analysis showed herbicide by year interaction, thus results were separated by year. These species were injured by terbacil and slightly less by mesotrione in 2004, but not in 2003. In the 2003 container experiment, the size index taken in October 30, 2003 was not significantly different among treatments; however the measurement taken in June 14, 2004 showed differences in EWP and WS (data not shown). Seedlings treated with rimsulfuron resulted in the biggest EWP and the rest of the treatments were not different from control. In addition, none of the treatments were different from the control in WS. The container experiment in 2004 showed only significant differences among treatments in WS. However, when the difference in size index between July and November was analyzed, FF and CA became significant (Table 10). Terbacil had the lowest growth rate in those species. These growth reductions were in accordance with the plant injury observed in the terbacil plots. Conclusions about weed control in the container (Table 11) are difficult to state due to the poor weed growth for some weed species in the control. However, terbacil, flumioxazin, mesotrione, and trifloxysulfuron provided good common lambsquarters control at 2 and 6 WAT in 2003 (data not shown). In 2004, all treatments provided good 109 control of redroot pigweed, carpetweed (Mollugo verticillata L.), and annual sowthistle (Sonchus oleraceus L.). Fall panicum was also controlled by all treatments, except for imazaquin and imazapic. Finally, black medic (Medicago lupulina L.) was controlled in all treatments except for imazaquin, isoxaben plus trifluralin, and imazapic. CONCLUSIONS Terbacil caused the most injury and gave the best weed control. In the field study, terbacil did not injure EWP and CBS in both years and WS in 2003 compared to the control, but produced severe injuries to BHS, DF in both years and CA and FF in 2004. The higher injury in 2004 may be explained by a higher rate (9% more) in that year. If this is the case, the optimum rate for weed control is very close to the rate that can be harmful to seedlings. Field research is required to determine if a lower rate of terbacil could still have good weed control and reduce plant injury. All herbicides except terbacil may be safe to be used in all species evaluated, however environmental conditions year by year can influence the likelihood of injury. Even though WS and BHS share the same genus and species; they differ in herbicide response. WS was more tolerant to herbicides than BHS. More field research is required to extend our knowledge in these species. Plant size index was not. in accordance with seedling injury observed in 2003. The grth in this period may have not been enough to detect statistical differences; however, for the field and container studies in 2004, when the size index difference was considered, thus analyzing only grth and taking out the individual tree size variability, 110 differences in growth were statistically detectable in the field and container study. Injury persistence was long enough to interfere with the normal growth. Terbacil, flumioxazin, mesotrione, and imazaquin had an overall good weed control, controlling most weeds present in the field. In addition, trifloxysulfuron and isoxaben plus trifluralin had variable control among weed species being some times unacceptable. Bare soil at application time improves weed control. Flumioxazin, trifloxysulfuron, imazaquin, and isoxaben plus trifluralin had better weed control when weeds were not present at the application time. 111 References Ahrens, J .F., and J .B. Dwyer. 1982. Postemergence herbicides for Christmas tree plantings. Proc. Northeastern Weed Sc. Soc. 36:215-216. Anonymous. 2002. Census of agriculture - State Data [Online]. Available by USDA - National Agricultural Statistics Services http://www.nass.usda.gov/census/. Anonymous. 2004. Agricultural chemical uses 2003. Nursery and floriculture summary [Online]. Available by United States Dept. of Agr. - National Agr. Stat. Serv. http://usda.mannlib.cornell.edu/remrts/nassr/other/pcu-bb/agcn0904.pdf (posted September 2004). Bird, G.W. 2004. Methyl bromide regulation update with special reference to Michigan. Michigan Farm Bureau, Lansing. Briggs, J ., and T. Whitwell. 2002. Effect of prodiamine formulation on injury to omamentals. SNA Res. Conf. 47:384-388. Brown, J .H., M.A. Spetich, and RB. Heiligrnann. 1989. Effects of frequency of chemical weed control on grth and quality of Christmas trees. North. J. Appl. For. 6: l 5- 1 7. Dixon, FL, and D.V. Clay. 2004. Effect of herbicides applied pre and post-emergence on forestry weeds grown from seed. Crop Protection 23:713-721. Florkowski, W.J., O.M. Lindstrom, and M.A. Florkowska. 1992. Importance of five natural Christmas tree characteristics as related to socioeconomic variables and opinions of choose-and-cut farms' customers. J. Environ. Hortic. 10:199-202. Green, T.H., P.J. Minogue, C.H. Brewer, G.R. Glover, and DH. Gjerstad. 1992. Absorption and translocation of C-14 glyphosate in 4 woody plant-species. Canadian Journal of Forest Research-Revue Canadienne De Recherche Forestiere 22:785-789. Jensen, K.I.N., and ER. Kimball. 1990. Uptake and metabolism of hexazinone in Rubus- Hispidus L and Pyrus-Melanocatpa (Michx) Willd. Weed Res. 30:35-41. 112 Kard, B.M.R., and F .P. Hain. 1987. White grub (Coleoptera: Scarabaeidae) densities, weed control practices, and root damage to Fraser fir Christmas trees in the southern Appalachians. J. Econ. Entomol. 80: 1072-1075. McNeil, W.K., J .F. Stritzke, and E. Basler. 1984. Absorption, translocation, and degradation of tebuthiuron and hexazinone in woody species. Weed Sc. 32:739- 743. Miller, M. 1996. Methyl Bromide and the environment, p. 91-148, In C. H. Bell, et al., eds. The methyl bromide issue, Vol. 1. John Wiley & Sons, New York. Nilsson, U., and G. Orlander. 2003. Response of newly planted Norway spruce seedlings to fertilization, irrigation and herbicide treatments. Ann. of Forest Sc. 60:637-643. Seifert, J .R., and K. Woeste. 2002. Evaluation of four herbicides and tillage for weed control on 1-0 planted tree seedlings. Northern J. of Applied For. 19:101-105. www 113 Table 1. Tree species and tree height average used for the field and container studies in 2003 and 2004. Tree species 2003 2004 cfrifrilnfrs Field Containers cm Black Hills Spruce (BHS) 33 20 —-1 Eastern White Pine (EWP) 45 27 27 Colorado Blue Spruce (CBS) 40 20 20 Douglas Fir (DF) 22 3O 30 White Spruce (WS) 50 " 20 Fraser Fir (FF) -- 17 17 Canaan (CA) -- 17 17 I Box without number indicates that this particular species was not evaluated for the study in this year. 114 83 o a .8885 .8 =5 .85 9 5:? .8: 8288 3308:; N 9:2: 585 HS 5:? e: "3 28m 2 8 _ :85 5058» 83 his .38 58 88 888 5030: 83 :88 25 52855 5 :8» o: .5 5:853me 3: .m2 ”:o5fi>o:55< _ m2 m2 m2 m2 m2 33 m2 G85 :3 3 3 3 3 3 8 3 8.88: 3 .2 3 2 8 S 3 488: 5_§:E+§§§ 2 2 3 3 3 2 S :8 8553385. 3 3 3 .2 3 8 S 88 5888: 3 3 .2 S 3 2 3 88 2558...: 3 S 3 S 3 S 3 88 N53282: S 3 8 3 o: 2 E N: .885 883. has 88 88 88 a? we. ..E <0 95 .5: a: 85 8: an: 8258; _.5:o:585 85m 8353 N 8 >558 535 25 5 5.5.55 @5508 8.5300 .N 253. 115 .33. 58 Sam $83 5303 83 :88 25 58858 a :8» o: b agoaama «on £2 63385“? _ 933 585 NS $3.95 on n: 38m 2 9 _ Bob 85% 83 is? 2 3 m2 m2 3 3 m2 of A38 a3 3 3 3 3 3 S 3 3 Baez: 3 S 2 2 S S 3 S 8.82; £§§$8§§ 3 2 2 2 3 S 3 M: :3 853385 3 3 2 2 2 3 M: S as 53395 S 3. .2 2 3 2 3 3 8d 88802 3 3 3 3 2 3 3 3 8d 33°53 3 no 3 2 3 3 3 3. N: 83...; 8&2 has 38 38 88 38 88 as“ «M "a <0 95 $6 "a 80 $5 22 .38: 5:89:85 8% £83 o 3 288.830 53% 05 E SE mam—58m 8.380 .m 2an 116 A085 855 on: .33 I £38265 855 on: as: N 38895 855 36 .83 ago—mama 8: .m2 ”:ougofifix _ nod m2 m2 mud m2 m2 $5.8 Om..— ond mwd and mm; 8.: mod I- 3:80 3; ovd 9.6 Q: 5N: and vw.o+m_ .. €95uth+8n§8~ end own 8.5 mod 36 2M Ed 553385.? cm; ovd 59m omd cod om.m Ned 5:38.:— omd owd mmé mw.N mam o: de 0:95:82 mod 32 8.: .26 end and mad 5:885:55 cmd - mm. 7 of: 55.0. mm; cm; «2 5038:. :8 83a wM mmm <0 gm ..E ”a mmo 03% “8:585. <38 :8 >558 53¢ 05 E 888%? 855 35 .v 2an 117 6:55.: 55:58 "40.50: 655.953: 5055 5280 "HAAOm iota—53555 :oEEOo uq633 33¢ 05 flm Tub—~00 803 .0 D—DNH 119 .aficieam "85m ,_§§ 5:3 "3.5m .aaaa =e "Ezé 3:38 032 "Ema gages, uAOE .8333 =£ "572m .8238 “868 nudes)? 633538 .398 NAOZOm _ 2 2 mm 2 5 A38 m3 2 a: 2: 2 MS 3323: o o no o o 23 853g 2 o 2 o o ”3 8503 2 no md o o Sod 03.32 2 _ 3 no o 32:2 ._ ==§c5+=3§§ o o _ o c :3 853385 3 o ”.2 o o as ascsué o a mo o o mg 08.5802 o o o o o mg 53°65; o o o c o N2 335 ............... «on \ €83 mo BASE/H «£3 mm 3%: mac: 525 $252 2028 29m 3253; doom 5 28.585 “can 383 o “a 33m $5350 05 E 383 mo 5&852 .: 035‘ 124 CHAPTER VI: HERBICIDE EFFICACY ON DIFFERENT WEED SPECIES 125 INTRODUCTION Nursery and greenhouse production represents the sixth largest agricultural commodity group in the United States. This is the fastest growing segment of the US. agriculture; between 1991 and 1998 sales of this segment increased 30%. Nursery growth is caused by the strong US. economy with the expansion in housing and increase of ornamental plant consumption (Knox et al. 2003). Nurseries and floriculture operations in the states of California, Florida, Michigan, Oregon, Pennsylvania, and Texas use 335 active ingredients and a total of 4.77 million pounds of chemicals; herbicides account for 20% (984,000 pounds) of the total amount. Glyphosate is the most popular herbicide, being used in 26% of the operations, followed by oxyfluorfen used in 8%, and oryzalin used in 6% of the operations (Anonymous 2004). Economic losses in the nursery industry due to weed infestations have been estimated at $7,000 per acre. Nurseries may spend $500 to $4000 per acre of containers for manual removal of weeds (Mathers and Case 2003). However, hand-weeding sometimes is necessary regardless of chemical weed control (Knox et al. 2003). Although growers try to implement non-chemical weed control practices, chemicals are widely used for weed control in nurseries. Herbicides represent 20% of the total amount of pesticides used in the nursery and floriculture industries in California, Florida, Michigan, Oregon, Pennsylvania, and Texas (Anonymous 2004). A survey in Florida showed that 71% and 56% of nurseries use postemergence and preemergence herbicides, respectively, and almost half used both kinds of herbicides (Tatum and Thompson 1993). 126 Yellow nutsedge (Cyperus esculentus L.) is a perennial weed of most agricultural, horticultural, and nursery crops as well as turfgrass and landscape (Uva et al. 1997). It is listed as one of the most troublesome weeds for the omamean industry. Yellow nutsedge grows in many soil types and propagates primarily by tubers and rhizomes. These characteristics make this weed very hard to control once established in the field. In addition, there are not many effective herbicides to control yellow nutsedge. Metolachlor is the only preemergence herbicide currently labeled for nursery crops that is effective against nutsedge (Altland et al. 2003). Metolachlor at 3.3 kg and 6.6 kg ai/ha provided excellent yellow nutsege control at both rates and the combination I of metolachlor plus simazine also provided excellent yellow nutsedge and annual grass control at 12 WAT (Setyowati et al. 1995). Metolachlor and other acetanilides herbicides adsorption to the soil is controlled mainly by the content of organic matter in the soil (Weber et al. 2003). Halosulfuron applied foliarly at 0.009 and 0.018 kg/ha provided 87 to 91% purple nutsedge and 79 to 84% yellow nutsedge control. Re-growth measurements taken 5 WAT showed 88 to 90% and 75 to 83% reduction in purple nutsedge and yellow nutsedge resprouting respectively (Hurt and Vencill 1994a). In addition, yellow nutsedge re- growth for halosulfuron, imazapic, glyphosate, and MSMA was below 5% of the untreated control (Ferrell et al. 2004). Imazapic and imazaquin control many annual broadleaf weeds as well as the perennial yellow nutsedge. Both have similar symptoms in plants, including grth inhibition, chlorosis of meristematic areas and general chlorosis and necrosis (V encill 2002). Imazaquin was one of the most effective preemergence treatments for reducing 127 yellow nutsedge shoot weight (89%). Imazaquin at 0.25 and 0.5 kg ai/ha applied postemergence reduced yellow nutsedge shoot weight by 72 to 77% at 2 WAT, comparable to chlorimuron (83%) , pyridate (82%), bentazon (82%), and glyphosate (87%) (Derr and Wilcut 1993). Hurt et al. (1994b) obtained 70 to 77% of yellow nutsedge control and 56 to 59% of purple nutsedge control with imazaquin applied at 0.43 kg/ha and 0.56 kg/ha, respectively. Foliar application of imazapic at 0.070 kg/ha controlled 95% purple nutsedge and 61% yellow nutsedge (Hurt and Vencill 1994b). Imazapic applied postemergence at 0.05 and 0.07 kg ai/ha, imazethapyr applied preplant incorporated or postemergence at 0.07 kg ai/ha, and metolachlor applied preplant incorporated at 1.7 kg ai/ha controlled yellow nutsedge at least 75%, but imazapic controlled yellow nutsedge more consistently than the others. Yellow nutsedge tuber densities in herbicide-treated plots were 51 to 75% less than in untreated control plots (Grichar 2002). Imazaquin and imazethapyr were the most effective preemergence treatments for reducing yellow nutsedge shoot weight. Applied postemergence, they reduced yellow nutsedge shoot weight by 72 to 87% at 2 WAT (Derr and Wilcut 1993). Bentazon, halosulfuron, and imazaquin are effective postemergence nutsedge herbicides (Altland et al. 2003). Imazaquin, bentazon and glyphosate applied postemergence reduced yellow nutsedge shoot weight by 72 to 87% at 2 WAT (Derr and Wilcut 1993). In addition, regrowth from bentazon was 44% of the control and was the least effective herbicide tested, whereas halosulfuron and imazapic were most effective for yellow nutsedge control (Ferrell et al. 2004). 128 Yellow nutsedge control with mesotrione was inconsistent. Increasing the rate of mesotrione from 0.070 to 0.140 kg/ha, and adding atrazine, improved control of yellow nutsedge at 56 DAT (Summerlin et al. 2000). Mesotrione was less effective reducing nutsedge regrowth compared to halosulfirron and MSMA. Mesotrione-treated yellow nutsedge regrth was 58% of the control regrowth, while regrth from halosulfuron and MSMA treatments was between 0 and 5% (Earl et al. 2004). Trifloxysulfuron applied to yellow nutsedge or purple nutsedge leaves is absorbed and translocated acropetaly and basipetaly, and no more than 4% is translocated to tubers and roots. Half-life of trifloxysulfuron on the plant was estimated at 4 h in both purple and yellow nutsedge (Troxler et al. 2003). The effect of trifloxysulfuron plus 0.25% NIS (non-ionic surfactant) was similar when applied at four or six-leaf stages of yellow nutsedge (Singh and Singh 2004). Soil-applied trifloxysulfuron reduced shoot number, shoot weight, and root weight more than foliar-applied trifloxysulfuron (McElroy et al. 2003) Bispyribac will be used to control grasses, sedges, and broad leaf weeds in rice production. Another potential use is in non-cropland weed control (V encill 2002). F lumioxazin gives good preemergence control of many broadleaf weeds. The mode of action is believed to be inhibition of protoporphyrinogen oxidase, an enzyme important in the synthesis of chlorophyll; after absorption, porphyrins accumulate in susceptible plants causing photosensibilization, which leads to membrane peroxidation. Plants emerging from treated soil become necrotic and die shortly after sunlight exposure (V encill 2002). F lumioxazin affects photosynthesis by reducing foliar chlorophyll and 129 carotenoid contents, gas exchanges and alteration in plastid structure. As a result, plantlet growth was greatly inhibited (Saladin et al. 2003). Rimsulfuron controlled yellow nutsedge 40 to 70% and nutsedge control was not increased with the addition of glyphosate in the tank mixure (Nelson and Renner 2002). Mugwort (Artemisia vulgaris L.) is a rhizomatous perennial with erect flowering stems. Reproduction is usually by rhizomes and rarely by seeds. Its persistent rhizomes make mugwort difficult to control in perennial crops (Uva et al. 1997). Little to no long- terrn control of mugwort is achieved with applications of glufosinate, metsulfuron, triclopyr, or the dimethylamine salt and the isooctyl ester of 2,4-D, even at exceptionally high use rates. Long-term mugwort control may be achieved with relatively low use rates of picloram (0.28 kg/ha) and clopyralid (0.28 kg/ha), but higher rates are needed for glyphosate (8.9 kg/ha) and dicamba (8.9 kg/ha) to obtain same control (Bradley and Hagood 2002a). In addition, sequential herbicide treatment and sequential mowing are strategies that enhance mugwort control (Bradley and Hagood 2002b). British yellowhead (Inula britannica L.) is a perennial plant that reproduces from seed or roots. It is a relatively new weed to Michigan. It was first reported in Michigan in 1990, but has the potential to become a wide spread weed. Yellow nutsedge, mugwort, and British yellowhead were selected to study their susceptibility to herbicides. Information obtained from this research will be valuable for the omamean industry to improve control of these weeds. 130 MATERIALS AND METHODS Three experiments were conducted to evaluate herbicide efficiency in yellow nutsedge (Cyperus esculentus L.), mugwort (Artemisia vulgaris L.), and British yellowhead (Inula britannica). Yellow Nutsedge Two sets of experiments were conducted in the greenhouse at Michigan State University. Four tubers were planted in each pot filled with high organic media (sphagnum peat 70 — 80%) in August 5, 2004. The tubers were obtained from Azlin Seed Service, Leland MS. Four days after planting, the following preemergence herbicides were applied: flumioxazin (0.28 kg ai/ha), metolachlor plus flumioxazin (2.1 lb ai/a, 0.28 kg ai/ha), and metolachlor (2.1 kg ai/ha) were sprayed. Postemergence herbicides were applied on August 20, 2004 when nutsedge had five to six leaves (15 cm heigh). Postemergence treatments were bentazon (1.12 kg ai/ha), bispyribac (0.07 kg ai/kg), glyphosate (0.56 and 1.12 kg ai/ha), halosulfuron (0.07 kg ai/a), imazapic (0.07 kg ai/ha), imazaquin (0.56 kg ai/ha), mesotrione (0.1 kg ai/ha), trifloxysulfuron (0.007 kg ai/ha), rimsulfuron (0.025 kg ai/ha), and an untreated control. Soil media was moist at application time. All treatments were applied with a bench sprayer utilizing a teejet nozzle 8001B, 172 kPa pressure, 187 L/ha output and 1.6 km/h speed. Yellow nutsedge control was evaluated 2 weeks after postemergence applications. The rating was done visually on a scale of 1 to 10, 1= no control and 10= 100% control. 131 Plants were counted and cut on September 7, 2004. Plants were dried for four days at 45 C and weighed. The statistical model was a randomized complete block with five replications. The same procedure was followed in the second experiment except that a different media was used, which was a mixture of 50% sandy loam soil, 30% peat, and 20% sand. In this experiment foliage re-growth was cut and weighed again at 3 weeks after the first cut. The four tubers were planted on August 24, 2004 and the preemergence herbicides were applied on August 26. The postemergence herbicides were applied on September 10, 2004. Weed control evaluation was done on September 23. Nutsedge plants were counted, cut, weighed and dried on September 28. Hosta infested with British yellowhead Container experiment Container and field experiments were conducted at the Horticulture Teaching & Research Center, East Lansing, Michigan. Hosta spp. and British yellowhead were grown together in 4 L containers. The soil type was loamy sand containing sand 82%, silt 13%, and clay 5%. Pieces of 4 to 5 cm British yellowhead roots were placed in the containers containing hosta plants. Root pieces were taken fiom British yellowhead plants grown in the greenhouse. At application hostas were 10 to 30 cm high and British yellowhead size varied greatly among containers from 5 to 35 cm. Clopyralid rate is between 0.105 to 0.28 kg ai/ha. In our study three different rates (0.10, 0.14, or 0.21 kg ai/ha) within the recommended range were applied with or without organosilicone surfactant (OSS) (Silwet L-77, 132 Loveland Industries Inc., Greeley, CO) at 0.5% v/v in July 18, 2003. There was also an untreated control. Treatments were applied with a backpack C02 sprayer and two nozzle boom (FF 9502, Teejet® nozzle, Spraying Systems Co, Wheaton, Illinois ) at 172 kPa and 187 L/ha. At application time the air temperature was 24 C, the relative humidity 38%, 15% cloudy, wind speed 8 km/h, and soil in the container was moist. Afier spraying, all pots were placed in a lathehouse with 60% shade. Hosta injury and British yellowhead control were visually rated on a 1 to 10 scale, with 1= no injury or no weed control and 10= 100% dead plants or complete weed control. Ratings were done 4 and 9 weeks afier herbicide application. A randomized complete block design with four replications was used for the experiment. The data were analyzed with SAS. The experiment was repeated in 2004. The procedure was the same, treatments were applied on July 1, and air temperature at application time was 26 C, relative humidity 42%, wind 11 anh from the west. Field experiment A field experiment was conducted to determine Hosta spp. susceptibility to clopyralid in field conditions. Clopyralid was applied at 0.10, 0.14, or 0.21 kg ai/ha with or without OSS at 0.5% v/v. An untreated control was left for comparison. A randomized complete block design with 3 replications was used. Each replication had one row of hostas and treatments were assigned randomly in each replication. Plots were 3 m long and had 6 to 8 plants. Soil was a loamy sand containing sand 83%, silt 9%, and clay 7% 133 and the pH was 6.0. Treatments were applied on July 18, 2003. The same scale was used for crop injury. Injury was rated at 2, 4, and 9 WAT. At the application time air temperature was 24 C, soil temperature 28 C, relative humidity 39%, and wind speed was 10 km/h from the east. Mugwort Two sets of experiments were conducted at the Horticulture Teaching & Research Center. Three to four pieces of mugwort rhizomes (3 to 5 cm long) were planted in 2 L containers filled with sandy clay soil in June 2003. The rhizomes were taken fi'om original plants grown in the greenhouse. Clopyralid 0.14 or 0.28 kg ai/ha, glufosinate 1.12 kg ai/ha, flumioxazin 0.28 kg ai/ha (plus NIS 0.25 % v/v), bentazon 1.12 kg ai/ha (plus NIS 0.25 % v/v), mesotrione 0.10 kg ai/ha, bentazon plus mesotrione (1.12 and 0.10 kg ai/ha) (plus COC 1.0 % v/v), bispyribac 0.07 kg ai/ha (plus NIS 0.25 % v/v), trifloxysulfuron 0.007 kg ai/ha (plus NIS 0.25 % v/v), and glyphoste 1.12 kg ai/ha were applied on July 7, 2004. One plot was left as a control. Mugwort plants were 5 to 15 cm high at application. Treatments were applied with a C02 backpack sprayer with a two nozzle boom (FF 11002 nozzles) at 172 kPa and 187 L/ha output. At application the air temperature was 20 C, the relative humidity 69%, 100% cloudy, wind speed 3 km/h, and the soil in containers was moist. After application the plants were placed in a poly house. Treatments were visually rated at 2 and 8 WAT as described above. 134 The second experiment was conducted similarly as explained above, except that plants were placed in a shady area in a lath house after application. Herbicides were applied on July 14, 2004. Temperature was 21 C, 80% cloudy, relative humidity was 71%. Randomized complete block with four replications was used for statistical analysis in both trials. RESULTS AND DISCUSSION Yellow Nutsedge Results vary between the two experiments mainly due to the different type of soil utilized in each experiment. In the high organic soil study (Table 1), non of the treatments provided complete nutsedge control. The best weed control was achieved by halosulfuron (7.4). Mesotrione, glyphosate (1 . 12 kg ai/ha), imazapic, trifloxysulfuron, imazaquin, rimsulfuron, and bispyribac provided fair control of 5.6 to 6.4. The rest of the treatments provided poor control (rating < 3.8). In addition, the preemergence treatments gave the lowest weed control. Halosufuron, imazapic, trifloxysulfuron, and imazaquin reduced nutsedge biomass. In the second experiment, preemergence herbicides were the most effective in controlling yellow nutsedge (Table 2). The combination of flumioxazin plus metolachlor was the best treatment, with a visual rating of 9.4 at 2 WAT. Metolachlor alone provided good control (7.0) and flumioxazin alone fair control (5.2). Among the postemergence 135 herbicides, trifloxysulfuron and halosulfuron had the best control, with 5.8 and 5.6, respectively. The other treatments resulted in poor control within a range of 3.0 to 4.8. Metolachlor plus flumioxazin, metolachlor, trifloxysulfuron, and halosulfirron had the lowest nutsedge dry weight at 2 WAT. In addition, number of plants was significantly different between treatments. F lumioxazin plus metolachlor and metolachlor had the lowest number of plants. The other treatments were not different from the control (Table 2). Dry weight of nutsedge regrowth at 5 WAT was significantly reduced by all treatments, except for bispyribac, glyphosate (0.56 kg ai/ha), and rimsulfuron, which were not different from the control (Table 2). Imazaquin, imazapic, mesotrione, trifloxysulfuron, and halosulfuron did not provide good control, but regrowth in these treatments was zero at 5 WAT. In addition, the number of live plants per pot was zero in these treatments, except for trifloxysulfuron which was 0.2 (Table 2). Hurt and Vencill (1994a) obtained 75 to 83% of yellow nutsedge regrowth reduction at 5 WAT in nutsedge treated with halosulfuron at 0.009 and 0.018 kg/ha, respectively. In our study, regrowth was zero at 5 WAT, but the rate used was 0.07 kg ai/ha. In addition, Ferrell (2004) obtained less than 5% regrowth with imazapic and halosulfuron, both applied at 0.07 kg/ha. High organic matter in the soil reduced the activity of metolachlor, flumioxazin and their combination against yellow nutsedge. As suggested by Weber (2003), metolachlor adsorption in the soil was positively related with the amount of organic matter in the soil. The high amount of organic matter in our research could lead to a high adsorption of metolachlor, thus reducing significantly its activity. In addition, 136 metolachlor and flumioxazin, especially in combination, provided excellent weed control when applied to nutsedge grown in soil with low organic matter content. Among postemergence herbicides, halosulfuron, mesotrione, and glyphostate (1.12 kg ai/ha) had the best yellow nutsedge control in organic soil, while trifloxysulfuron and halosulfuron had the best control in mineral soil (Table 1 and 2). Imazaquin, imazapic, mesotrione, trifloxysulfuron, and halosulfuron had medium nutsedge control at 2 WAT, but they prevented 100% nutsedge regrowth at 5 WAT. Similar results were obtained by Derr et al. (1993). They obtained 95% regrth reduction at 8 WAT with a lower imazaquin rate (0.5 kg ai/ha). In addition, Grichar et al. (2002) found that imazapic consistently controlled nutsedge and also reduced the number of tubers. Even though imazaquin, imazapic, mesotrione, trifloxysulfuron, and halosulfuron did not have high control ratings at 2 WAT, there is evidence that these may be used in long term nutsedge control programs. Hosta infested with British yellowhead Containers Mean separation was pooled across years because crop injury by year interaction and weed control by year interaction were not significant. All treatments caused injury to hosta at 4 and 9 WAT (Table 3). Due to the mode of action of clopyralid, which is a growth regulator, injury consisted mainly of distorted grth such as twisted and rolled leaves. Clopyralid at 0.14 kg ai/ha plus OSS and clopyralid at 0.1 kg ai/ha produced the lowest injury at 2 WAT. At 9 WAT all treatments had significant injury within a range of 2.7 to 3.2. 137 The addition of OSS did not increase or reduce hosta injury at 4 or 9 WAT (Table 3). Clopyralid 0.21 kg ai/ha plus OSS, clopyralid 0.21 kg ai/ha, clopyralid 0.14 kg ai/ha plus OSS, and clopyralid 0.1 kg ai/ha plus OSS resulted in the highest British yellowhead control at 4 and 9 WAT (Table 3). Addition of OSS to the lowest rate increased weed control comparable to the highest rates. Field In the field, no treatment caused crop injury at 2 WAT (Table 4). However, clopyralid at 0.1 and 0.14 kg ai/ha without the addition of OSS were the only treatments without injury compared to the control at 4 and 9 WAT. The other treatments produced injuries within a range of 2.3 to 3.3. The addition of OSS caused a slight but not significant increase in injury at all clopyralid rates. This result contrasts with those obtained from the containers in which the addition of OSS did not show any influence on hosta injury rates. In conclusion, clopyralid injured hosta at all rates tested either in the container and field experiment, except for the field experiments for the lower rates (0.1 and 0.14 kg ai/ha) without OSS. Clopyralid at 0.1 and 0.14 kg ai/ha without OSS, not only had reduced injury in the field but also provided 6.2 and 6.7 British yellowhead control in the container study. Even though not significantly different, the addition of the surfactant tended to increase injury in the field but not in the container study and increased British yellowhead control. OSS increase droplet surface tension in leaves allowing clopyralid to be absorbed more rapidly, thus, causing an increase in British yellowhead control but also an increase in crop injury. 138 Further studies on a larger scale are needed to obtain information about the effect of OSS and other potential adjuvants in a clopyralid tank mix on British yellowhead control and hosta injury. Since injury consisted in increased leaf twisting, knowing the impact of these injuries on crop marketability will be useful for rate adjustments. Mugwort The interaction of weed control by treatment trial was significant at 2 and 8 WAT, so data is presented by trial in Table 5. First trial Bentazon plus mesotrione, glufosinate, and glyphosate resulted in the best mugwort control at 2 WAT. However, at 8 WAT, bentazon plus mesotrione and glufosinate control declined to 6.0 and 4.0 respectively, while glyphosate and clopyralid at 0.28 kg ai/ha still had excellent control. The lower rate of clopyralid provided good mugwort control (7.5) at 8 WAT. Flumioxazin provided mugwort control 8.3 and 7.0 at 2 and 8 WAT, respectively. Trifloxysulfuron, bentazon, and mesotrione controlled mugwort 6.3, 3.0, and 2.8 at 8 WAT, respectively. Bispyribac provided very poor control being not different form the untreated control. Second trial Flumioxazin and glufosinate had excellent control at 2 WAT, but it declined to 5.8 and 2.8 at 8 WAT. Same results were observed in the first trial (Table 5). Clopyralid at 0.28 kg ai/ha had medium control at 2 WAT but was excellent (9.3) at 8 WAT. 139 Bentazon plus mesotrione controlled mugwort 6.8 at 2 WAT and 8.8 at 8 WAT. The other treatments provided mugwort control within a range of 3.8 to 4.8. In conclusion, inconsistent results were observed between trials. However, clopyralid at 0.28 kg ai/ha had the best mugwort control in both trials. This agrees with Bradley et al. (2002), who suggested that low rates of clopyralid (0.28 kg ai/ha) may control mugwort in the long term. Bentazon plus mesotrione and glyphosate had excellent mugwort control in one of the two trials. Bradley et al (2002) reported complete mugwort control after one year of applying a high rate of glyphosate (8.9 kg ai/ha). However, in our study the 1.12 kg ai/ha rate was too low to achieve acceptable control in our second trial. Bentazon plus mesotrione had a complementary effect on mugwort control in both trials. In addition, glufosinate gave excellent early control but control declined 60-7 0% at 8 WAT. This result agrees with Bradley et al. (2002) who observed 50% control afier one year of treatment at a higher rate (8.9 kg ai/ha) of glufosinate. Research in sequential applications of different herbicides, different modes of action, with different rates and timing is necessary to implement a more efficient mugwort control program. 140 References: Altland, J .E., C.H. Gilliam, and G. Wehtje. 2003. Weed control in field nurseries. Hort. Technol. 13 (1):9-14. Anonymous. 2004. Agricultural chemical uses 2003. Nursery and floriculture summary [Online]. Available by United States Dept. of Agr. - National Agr. Stat. Serv. ht_tp://usda.mannlib.comell.edu/repgrts/nassr/other/pcu-bb/agcn0904.pdf (posted September 2004). Bradley, K.W., and ES. Hagood. 2002a. Evaluations of selected herbicides and rates for long-terrn mugwort (Artemisia vulgaris) control. Weed Technol. 16:164-170. Bradley, K.W., and ES. Hagood. 2002b. Influence of sequential herbicide treatment, herbicide application timing, and mowing on mugwort (Artemisia vulgaris) control. Weed Technol. 16:346-352. Derr, J .F ., and J.W. Wilcut. 1993. Control of yellow and purple nutsedges (Cyperus esculentus and C. rotundus) in nursery crops. Weed Technol. 7:112-117. Earl, H.J., J .A. Ferrell, W.K. Vencill, M.W. van Iersel, and M.A. Czarnota. 2004. Effects of three herbicides on whole-plant carbon fixation and water use by yellow nutsedge (Cyperus esculentus). Weed Sc. 52:213-216. Ferrell, J .A., H.J. Earl, and WK. Vencill. 2004. Duration of yellow nutsedge (Cyperus esculentus) competitiveness after herbicide treatment. Weed Sc. 52:24-27. Grichar, W.J. 2002. Effect of continuous imidazolinone herbicide use on yellow nutsedge (Cyperus esculentus) populations in peanut. Weed Technol. 16:880-884. Hurt, R.T., and WK. Vencill. 1994a. Phytotoxicity and nutsedge control in woody and herbaceous landscape plants with manage (MON12037). J. Environ. Hortic. 12: 1 35-137. Hurt, R.T., and WK. Vencill. 1994b. Evaluation of three imidazolinone herbicides for control of yellow and purple nutsedge in woody and herbaceous landscape plants. J. Environ. Hortic. 12: 131-134. 141 Knox, G., T. Momol, R. Mizell, and H. Dankers. 2003. Crop timeline for nursery-grown evergreens and shade trees. Prepared for the US EPA. Office of pesticides programs. North Florida Res. and Educ. Ctr, Inst. of food and Agr. Sci., University of Florida, Quincy. Mathers, H., and L. Case. 2003. Novel methods of weed control of containers. Hort. Technol. 13 (1):28-34.' McElroy, J .S., F.H. Yelverton, S.C. Troxler, and J .W. Wilcut. 2003. Selective exposure of yellow (Cyperus esculentus) and purple nutsedge (Cyperus rotundus) to postemergence treatments of CGA-362622, imazaquin, and MSMA. Weed Technol. 17:554-559. Nelson, A.K., and K.A. Renner. 2002. Yellow Nutsedge (Cyperus esculentus) control and tuber production with glyphosate and ALS-inhibiting herbicides. Weed Technol. 16:5 12—5 19. Saladin, G., C. Magne, and C. Clement. 2003. Impact of flumioxazin herbicide on growth and carbohydrate physiology in Vitis vinifera L. Plant Cell Rep. Berlin 21 :821- 827. Setyowati, N., L.A. Weston, and RE. McNiel. 1995. Evaluation of selected preemergence herbicides in field-grown landscape crops in Kentucky. J . environ. hortic. 13 (4):196-202. Singh, S., and M. Singh. 2004. Effect of growth stage on trifloxysulfuron and glyphosate efficacy in twelve weed species of citrus groves. Weed Technol. 18:1031-1036. Summerlin, J .R., H.D. Coble, and EH. Yelverton. 2000. Effect of mowing on perennial sedges. Weed Sci. 48:501-507. Tatum, DH, and G. Thompson. 1993. Herbicide phytotoxicity on woody omamentals. SNA Res. Conf. 38. Troxler, S.C., I.C. Burke, J .W. Wilcut, W.D. Smith, and J. Burton. 2003. Absorption, translocation, and metabolism of foliar-applied CGA-362622 in purple and yellow nutsedge (Cyperus rotundus and C. esculentus). Weed Sci. 51:13-18. 142 Uva, R.H., J .C. Neal, and J .M. DiTomaso. 1997. Weeds of the Northeast. Comstock Publishing Associates - Cornell University Press, New York. Vencill, W.K. 2002. Herbicide handbook. 8 ed. Weed Science Society of America, Lawrence, KS. Weber, J.B., E.J. McKinnon, L.R. Swain, Q. Wang, W. Yang, and W. Liu. 2003. Sorption and mobility of 14C-labeled imazaquin and metolachlor in four soils as influenced by soil properties. J. of Agr. and Food Chem. 51 :5752-5759. 143 Table 1. Yellow nutsedge control, dry weight and number of plants per container at 2 weeks after treatment in greenhouse after treatment with pre and postemergence herbicides; grown in containers with high organic soil. Herbicide Rate Timing Ratingl Dry weight Live plants 2 WAT kg ai/ha g/pot number Flumioxazin 0.28 Pre 1.6 4.82 3.0 Flumioxazin + Metolachlor 0.28 + 2.1 Pre 2.2 3.14* 2.6 Metolachlor 2. 1 Pre ] ,8 3 ,57* 2 .8 Bentazon 1.12 Post 2,4 266* 3 ,4 Bispyribac 0.07 Post 3 .8 L63" 3 .0 Glyphosate 0.56 Post 2,0 35* 3.0 Glyphosate 1.12 Post 6,4 0,97" 3 .2 Halosulfuron 0.07 Post 7.4 0.54“ 3.4 Imazapic 0.07 Post 5.8 0.64“ 3.0 Imazaquin 0.56 Post 5.6 073* 3.2 Mesotrione 0.1 Post 6.4 1 _09* 3 .0 Rimsulfuron 0.025 Post 5.6 1.07“ 3.6 Trifloxysulfuron 0.007 Post 5 .8 0.8 1 * 3 .0 Untreated --- --- 1 .0 4.88 2.8 LSD (0.05) 1.1 0.86 NS ' Control rating was taken on a scale of l to 10, meaning 1= no weed control, and 10=complete weed control. * Indicates significantly different from the untreated at P3005. 144 Table 2. Yellow nutsedge control, dry weight, and number of plants per pot in greenhouse conditions; grown in containers with mineral soil. Herbicide Rate Timing RatingI Dry Weight No. of plants Dry Weight No. of plants 2 WAT 2 WAT 2 WAT S WAT S WAT kg ai/ha g/pot number g/pot number Flumioxazin 0.28 Pre 5.2* 079* 3.0 014* 1.6* Flu+Met 0.28 + 2.1 Pre 9.4* 011* 1.8* 001* 04* Metolachlor 2.1 Pre 7.0* 029* 1.8* 006* 06* Bentazon 1.12 Post 48* 075* 2.8 015* 1.0* Bispyribac 0.07 Post 46* 1.02* 3.0 0.55 2.4 Glyphosate 0.56 Post 3.0* 1.36* 2.6 0.49 2.6 Glyphosate 1.12 Post 48* l. 14* 3.4 021* 1.6* Halosulfuron 0.07 Post 5.6* 069* 3.4 0* 0* Imazapic 0.07 Post 3.6* 1.41* 3.6 0* 0* Imazaquin 0.56 Post 48* 075* 3.0 0* 0* Mesotrione 0.1 Post 4.4* 085* 3 .6 0* 0* Rimsulfuron 0.025 Post 48* 076* 2.8 0.66 2.4 Trifloxysulfuron 0.007 Post 5.8* 058* 2.4 0* 02* Untreated --- --- 1.0 2.21 3 .0 0.65 3 .0 LSD (0.05) 1.7 0.58 1.0 0.21 0.8 ' Control rating was taken on a scale of l to 10, meaning l= no weed control, and 10=complete weed control. * Indicates significantly different from the untreated at P5005. 145 Table 3. Hosta injury and Inula control in the container study at 4 and 9 weeks after application of clopyralid.l Treatnents Rate Timing Hosta injuryT Inula control 3 kg ai/ha 4 WAT 9 WAT 4 WAT 9 WAT Clopyralid 0.1 Post 2 .6 2.7 4.4 6.2 Clopyralid + 0332 0.1 Post 2.7 2.9 5.9 7.6 Clopyralid 0.14 Post 2.8 3.2 5.1 6.7 Clopyralid + OSS 0.14 Post 2.7 3.0 6.1 8.1 Clopyralid 0.21 Post 3.0 3.0 6.6 8.6 Clopyralid + OSS 0.21 Post 3.4 3.2 7.6 9.0 Untreated m 1.0 1.0 1.0 1 .0 LSD (0.05) 0.6 0.8 1.6 2.2 ' 2003 and 2004 data was combined for analysis. 2 oss= Silwet L-77 added at 0.5% v/v 3 Ratings: l= no weed control or no crop injury, and 10=complete weed control or dead plant. 146 Table 4. Hosta injury in the field study at 2, 4 and 9 weeks afier application of clopyralid in 2003. Treatments Rate 2 WAT 4 WAT 9 WAT Kg ai/ha ------------- ratingy -------------- Clopyralid 0. 1 1.7 1.7 2.0 Clopyralid + 0332 0.1 2.0 2.7* 2.7* Clopyralid 0.14 1.7 1.3 1.7 Clopyralid + OSS 0.14 2.3 2.7* 2.3* Clopyralid 0.21 2.0 2.3* 33* Clopyralid + 033 ‘ 0.21 1.7 2.7* 3.0* Untreated --- l .0 1 .0 1.0 LSD (0.05) NS 1.2 1.0 2 oss= Silwet L-77, added at 0.5% v/v ’ Injury rating l= no injury, and 10= dead plant * Indicates significantly different from the untreated at P5005. 147 Table 5. Mugwort control at 2 and 8 WAT in both trials conducted in 2004. Treatment Rate First trialI Second triall 2 WAT 8 WAT 2 WAT 8 WAT kg ai/ha rating " Bentazon + NIS 1.12 4.0 3.0 4.5 4.0 Bentazon + mesotrione + COCy 1.12 + 0.1 9.0 6.0 6.8 8.8 Bispyribac + NIS 0.07 2.0 2.3 2.5 3.8 Clopyralid 0.14 5.0 7.5 2.0 4.0 Clopyralid 0.28 6.3 8.8 6.0 9.3 Flumioxazin + NISy 0.28 8.3 7.0 8.8 5.8 Glufosinate 1.12 10 4.0 10 2.8 Glyphosate 1.12 9.3 10 2.8 4.5 Mesotrione 0.1 2.5 2.8 4.0 4.8 Trifloxysulfuron + NIS 0.007 2.8 6.3 4.8 4.0 Untreated --- l .0 l .0 1.0 1.0 LSD (0.05) 1.2 1.6 1.4 2.6 ' Herbicides were applied on July 7, 2004 for the first trial and July 14, 2004 for the second trial. ’ Crop oil concentrate (COC) applied at 1% v/v and non ionic surfactant (NIS) at 0.25 % v/v. x Weed control rating l= no control, and 10= 100% control. 148 1a:wiljij‘lgjjjjujjjju