T . A . nwnvxu Hubs, . . .2 .. $3.... . .s . z: (unfit. .0. .59... , .5 flammawfid Hanan... . a .. aw w% . . . kvruifiuw , , .. .. 3r .fifiuofi F. .. fig? . .w¢.m.u.,nufl..rmmwwfl.m . firfiaufi . . . . 9 “mm. &. g . .. . . ....3.....113u. a 35.3% I... sens... i i = v a u g... 3 39p .. 3.9.9.)...1.) 3. (.51!) 4 . .2 d... L... . nrb 3‘ *(1731‘ and... c Lv 1....- E .1... .13).! Giana. .n «awmwmfiflmmmmfia. “was- .3... MICHIGAI‘IJIBMES STATE UNIVERSITY EAST LANSING, MICH 48824-1048 This is to certify that the dissertation entitled ORCHARD FLOOR MANAGEMENT SYSTEMS AND ROOTSTOCK PERFORMANCE OF ORGANICALLY MANAGED APPLES (Malus x domestica Borkh.) presented by Roberto Jose Zoppolo has been accepted towards futfillment of the requirements for the PhD. degree in HORTICULTURE MSU Is an Ammonia Action/Equal Opportunity Institution 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 .th Q 5] _. 00? - J. 13 2V 6/01 c:/CIRCIDateDue.p65-p.15 ORCHARD FLOOR MANAGEMENT SYSTEMS AND ROOTSTOCK PERFORMANCE OF ORGANICALLY MANAGED APPLES (Malus x domestica Borkh.) By Roberto José Zoppolo A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Horticulture 2004 ABSTRACT ORCHARD FLOOR MANAGEMENT SYSTEMS AND ROOTSTOCK PERFORMANCE OF ORGANICALLY MANAGED APPLES (Malus x domestica Borkh.) By Roberto José Zoppolo Orchard floor management is a critical aspect of apple growing with enhanced impact in organic fruit production. Weed management as well as the N cycling and its synchrony (temporal connection between availability and demand) are major challenges, and key aspects for sustainability. We studied the growth response of different rootstocks to orchard floor management systems to determine if rootstock vigor could compensate for stress imposed by vegetative cover competition. Shifts in soil, vegetation cover, composition of the soil food web, and partitioning of C and N within the tree ecosystem were measured to estimate biological sustainability. A total of 468 trees were planted in May 2000 at Clarksville Horticultural Research Station, Michigan State University. They are part of a 2.6 ha orchard certified organic by the Organic Crop Improvement Association. The apple trees of the cv. ‘Pacific Gala” were managed in the vertical axe system with drip irrigation. Three rootstocks were evaluated: M.9 NAKB-337, a weak dwarf clone; M.9 RN29, a dwarf clone, and Supporter 4, a semi-dwarf rootstock. The orchard floor management systems used were: mulch of alfalfa hay, weed flaming, and strip tillage on each side of the tree row (“Swiss Sandwich System”). The rootstocks as well as the treatments influenced the vigor of the trees. The trunk cross-sectional area of Supporter 4 increased 35% and 21% more than that of M.9 NAKB 337 and M.9 RN 29, respectively. Fruit yield in 2003 for Mulch and Flame treatments was highest for M.9 NAKB while for Sandwich maximum was achieved with M.9 RN29. There were no differences between Flame and Sandwich even though vegetation-free-area was greater in Flame. The vegetative cover underwent important shifts in species composition and number of plants/m2 under the different ground floor treatments. Both C and N pools were enhanced by Mulch and to a lower extent by Sandwich; conversely no increase took place under Flaming. Soil food web was slightly enhanced under Sandwich which had a significantly higher number of nematodes and active fungal biomass. To study the N dynamics 88 containers (wooden boxes of 1m x 1.2m x 0.5m) installed in the field with 0.6 m3 of soil were used for planting apple trees in May 2001. Five orchard floor management systems were applied: Mulch, Flame, Sandwich, Partial, and Total Cover of clover and rye. Boxes were lined in plastic and a system was designed to allow 100% of recovery of the water leaching through the soil in each container. This leachate was repeatedly analyzed for inorganic N content during the 3 years of experiment. Nitrogen-NO3' contents in the leachate from Mulch were more than twenty times higher than in the other treatments. Carbon partitioning was affected and N content in wood increased over 3 fold between trees from Total Cover and Mulch. Trees with greatest growth from Mulch had the lowest rootzshoot ratio while those with least grth from Total Cover had the highest. While Mulch gave superior results in tree performance, the Sandwich was found to be a viable orchard floor management system with advantages over the other treatments regarding sustainability and management efficiency. Cepyright by ROBERTO ZOPPOLO 2004 DEDICATION This thesis is dedicated to my wife Virginia and my parents, César and Anna Ruth, for their loving support and unconditional encouragement. ACKNOWLEDGEMENTS I would like to acknowledge the members of my Guidance Committee for their advice, consideration, the time dedicated, and the opportunity of developing excellent relationships. Especially I thank my major professor, Dr. Ron Perry who made it possible for me to come to Michigan State University and gave me continuous advice and support in the professional as well as personal level opening his family to mine. Dr. Douglas Buhler who introduced me into the weed ecology world and taught me to look differently to this portion of the fruit growing ecosystem. Dr. Jim Flore who promoted new and challenging ideas that added meaning to the research project. Dr. Richard Harwood whose keenness and wide experience were critical for a sustained development of the program and the result analysis process. Dr. David Rothstein who through a dynamic overview of the system gave me important concepts to envision natures cycles in their whole dimension. It would have been very difficult to complete all the work done without the help received from numerous students and colleagues. Special thanks go to Dario Stefanelli with whom we built a strong team to go through numerous field and laboratory challenges as well as technical discussions; to Michael Jost, Steven Berkheimer, Costanza Zavalloni, and Adriana Nikoloudi who were always ready to help, discuss, suggest, and share. Thank you all for the friendship received. My recognition and appreciation to the staff and personnel at Clarksville Horticultural Research Station, specially Jerry Skeltis, Gail Byler, and Denise Ruwersma, for their willingness and efficiency in performing the different activities that gave support vi to my field work. I want to thank Jon Dahl and the staff at the MSU Soil and Plant Nutrient Laboratory for their work. I want to thank Lynn Holcomb, Elaine Parker, and Jeff Smeenk for their help in teaching me laboratory techniques. Numerous friends from the Latinamerican Community and Horticultural Organization of Graduate Students (Marlene, Mauricio, and Randy among others) helped my family and I feel more at home, through their company and sharing, and for that I am grateful. The constant encouragement and confidence received from my parents César and Anna Ruth, and from the whole family was very important for me, and I deeply appreciate it. A very special recognition goes to my wife Virginia, and my children Diego and Veronica, without whose continuous company and loving understanding it would have been impossible to achieve this degree. Finally I want to acknowledge the Instituto Nacional de Investigacién Agropecuaria (INIA) from Uruguay who gave me this opportunity and the economical support to pursue it. vii TABLE OF CONTENTS LIST OF TABLES ................................................................................... xi LIST OF FIGURES ................................................................................. xvi CHAPTER 1. ROOTSTOCK PERFORMANCE UNDER DIFFERENT ORCHARD FLOOR MANAGEMENT SYSTEMS FOR ORGANIC APPLE PRODUCTION. . . ...1 Abstract ........................................................................................ 2 Introduction ................................................................................... 3 Materials and methods ......................................................................... 7 Results ....................................................................................... 14 Discussion .................................................................................... 21 Conclusions ................................................................................. 27 Literature cited ............................................................................... 30 CHAPTER 2. EFFECT OF DIFFERENT GROUND FLOOR MANAGEMENT SYSTEMS FOR ORGANIC APPLE PRODUCTION ON NITROGEN CYCLING AND TREE PERFORMANCE ................................................................... 51 Abstract ...................................................................................... 52 Introduction ................................................................................. 53 Materials and methods ....................................................................... 55 Results ....................................................................................... 61 Discussion ................................................................................... 65 Conclusions ................................................................................. 73 Literature cited ............................................................................... 75 viii CHAPTER 3. APPLE TREE AND SOIL COVER DRY MATTER PARTITIONING UNDER FIVE ORCHARD FLOOR MANAGEMENT SYSTEMS IN ORGANIC PRODUCTION ........................................................................................ 89 Abstract ...................................................................................... 90 Introduction ................................................................................. 91 Materials and methods ....................................................................... 92 Results ....................................................................................... 97 Discussion ................................................................................... 99 Conclusions ................................................................................ 1 02 Literature cited ............................................................................. 104 CHAPTER 4. ORCHARD FLOOR MANAGEMENT SYSTEMS AND THEIR IMPACT ON RESIDENT VEGETATION IN ORGANIC APPLE PRODUCTION. . . 1 14 Abstract .................................................................................... 115 Introduction ................................................................................ 1 16 Materials and methods ..................................................................... 117 Results ...................................................................................... 123 Discussion ................................................................................. 125 Conclusions ................................................................................ 1 30 Literature cited ............................................................................. 132 SUMMARY AND CONCLUSIONS ........................................................... 137 APPENDIX A ...................................................................................... 143 APPENDIX B ...................................................................................... 153 ix APPENDIX C ...................................................................................... 159 APPENDIX D ...................................................................................... 162 Table Table Table Table Table Table Table LIST OF TABLES CHAPTER 1 1.1 Carbon mineralization potential of soil. Cumulative amount of COz-C (ug of COz-C * g of soil ' 1) evolved during incubation in laboratory at 25°C and no light from soil of different positions of the sandwich treatment. Values are means of six replicates. Samples were collected April 24th 2003. Analysis of variance was carried out for each date afier incubation. Values followed by the same letter are not significantly different for p_<_0.05 (LSMEANS test) ....................................................................................... 34 1.2 Nitrogen mineralization potential. Nitrogen available in soil (mg Kg’l) after different days of incubation in laboratory at 25°C and no light from soil of the sandwich treatment in its three positions (0 — 10 cm depth) Values are means of six replicates. Sample collected April 24th 2003. Analysis of variance was carried out for each date. Values followed by the same letter are not significantly different for p30.05 (LSMEAN S test). ....................................... 34 1.3. Soil food web. Microbial Biomass of bacteria and fungi (in ug/g soil) and protozoa (in number/g soil) at 0-30 cm depth in the treatment row. Each value is mean of 6 replicates. Samples were collected November 10th 2003. Values followed by different letters in the same row are significantly different for pS0.05 (LSMEANS test) ................................................................................... 35 1.4. Microbial Biomass of bacteria and fungi (in jig/g soil) and protozoa (in number/g soil) at 0-30 cm depth in row and strip positions of the Sandwich treatment. Each value is mean of 6 replicates. Samples were collected November 10th 2003. Values followed by different letters in the same row are significantly different for p50.05 (LSMEAN S test). ....................................... 36 1.5. Nematodes population characterization at 0-30 cm depth in the row by treatment (in Number of nematodes/ g soil). Each value is mean of 6 replicates. Samples were collected November 10th 2003. Values followed by different letters in the same row are significantly different for p50.05 (LSMEANS test) .................................................................................................................... 36 1.6. Yearly Trunk Cross Sectional Area Increase (TCAI) of ‘Pacific Gala’ in cm2 by rootstock for the three treatments from 2001 to 2003 measured 30 cm above the graft union. Each value is an average of 12 trees. Analysis of variance was carried out for each year. Values followed by different letters in the same column or row are significantly different for pS0.05 (LSMEAN S test). ......... 37 1.7. Branch final length of ‘Pacific Gala’ in cm, by rootstock for the three treatments from 2001 to 2003. Each value is an average of 12 trees. Analysis of variance was carried out for each year. Values followed by different letters xi in the same column or row are significantly different for p50.05 (LSMEANS test) ................................................................................................................... 38 Table 1.8. The effects on tree vigor, flowering, and fruit set of ‘Pacific Gala’ for 2003 by: A. orchard floor management systems, and B. rootstocks. Each value is an average of 12 trees. Analysis of variance was carried out for each variable. Values followed by different letters in the same row are significantly different for [930.05 (LSMEANS test) ............................................................................. 39 Table 1.9. Leaf N content (% dry weight) of ‘Pacific Gala’, by treatment and rootstock from 2001 to 2003 (n=36 in 2001, and n=12 in 2002 and 2003) Analysis of variance was carried out for each year. Values followed by different letters in the same column are significantly different for p50.05 (LSMEANS test) ....... 39 Table 1.10. Three-year average nutrient content for leaves of ‘Pacific Gala’ sampled from the middle portion of one-year-old branches in mid-August 2001 to 2003, in trees under different orchard floor management systems. Each value averages 12 trees. Values followed by different letters in the same column are significantly different for p30.05 (LSMEANS test) ......................................... 40 Table 1.11. The effect on quantitative and qualitative characteristics of ‘Pacific Gala’ in 2003 of: A. orchard floor management systems, and B. rootstocks. Each value is an average of 12 trees. Analysis of variance was carried out for each variable. Values followed by different letters in the same row are significantly different for p50.05 (LSMEANS test) .............................................................. 40 CHAPTER 2 Table 2.1. Content of organic matter in soil (%) for 0-30 cm depth for two positions in SS treatment (n=16). Analysis of variance was carried out for each date and no significant differences were found for pS0.05 (Tukey’s adjusted) ................... 78 Table 2.2. Nitrogen content in soil (ppm of NO3'—N ) in 0-30 cm depth for the two positions of SS of boxes with trees (n=16). Analysis of variance was carried out for each date. Values followed by different letters in the same row are significantly different for p50.05 (Tukey’s adjusted) ....................................... 78 Table 2.3. Average N concentration (mg NO3'—N L'l) for the whole year in the leachate collected from boxes under each soil management system and with trees grafted on rootstock: A. Supporter 4, and B. M.9 NAKB 337. (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Analysis of variance was carried out for each year. Values in the same row followed by the same letter are not significantly different for p50.05 (Tukey’s adjusted) ............................................................................................................ 79 xii Table 2.4. Number of flower clusters at time of full bloom for two rootstocks and by orchard floor management system (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). A. May 2002 B. May 2003. Results of analysis of variance are shown for rootstock and treatment averages. Values in the same row or column followed by the same letter are not significantly different for p50.05 (Tukey’s adjusted) ....................................... 79 Table 2.5. Nitrogen content (% dry weight) in apple leaves sampled in August of each year, for each orchard floor management system (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Analysis of variance was carried out for each year. Values in the same row followed by the same letter are not significantly different for p_<_0.05 (Tukey’s adjusted) ......... 80 Table 2.6. Nutrient 3-year average content in apple leaves sampled in August of each year, for each orchard floor management system (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Values in the same row followed by the same letter are not significantly different for p30.05 (Tukey’s adjusted) ............................................................................................. 80 CHAPTER 3 Table 3.1. Content (g/tree) of total C and N per plant of ‘Buckeye Gala’ grafted on M.9 NAKB 337 harvested in November 2003 for each soil management system. Each value is average of 4 replicates. Values in the same row followed by the same letter are not significantly different for p $0.05 (Tukey’s adjusted). . ...107 Table 3.2. Total dry weight of biomass of vegetative cover under each orchard floor management system, amount of total C and N contained in it, and ON ratio. Each value is average of 4 replicates. Values in the same row followed by the same letter are not significantly different for p 50.05 (Tukey’s adjusted). . ...107 CHAPTER 4 Table 4.1. Number of plants/m2 that were hand weeded from the Sandwich treatment for each year of experiment ............................................................. 134 Table 4.2. Nitrogen concentration (% in dry weight of shoot and root), R/S ratio (dry weight basis) and estimation of N content in a pure stand of the species (g N/m’) Each value is a mean of 5 samples .......................................... 134 xiii APPENDIX A Table A]. Day of the year (DOY) with corresponding date in which treatment applications of floor management were performed ............................... 144 Table A2. Carbon mineralization potential. Cumulative amount of COz-C (ug of COz-C * g of soil") evolved during incubation in laboratory at 25°C and no light from soil of different treatments. Values are means of 6 replicates. Analysis of variance was carried out for each date. Values in the same row followed by different letter are significantly different for p50.05 (Tukey’s adjusted). MU=Mulch, FL=Flame, SS=Sandwich ............................................ 145 Table A3. Nitrogen mineralization potential. Sample collected April 13'h 2001 (*). Total N (N03 + NH4) available in soil (mg Kg‘l) after different days of incubation in laboratory at 25°C and no light (0 —- 10 cm depth) from different treatments. Values are means of six replicates. Analysis of variance was carried out for each date and no significant differences were found for p50.05 (LSMEANS test). MU=Mulch, F L=Flame, SS=Sandwich ..................................... 146 Table A. 4. Nutrient content for leaves of ‘Pacific Gala’ sampled from the middle portion of one-year-old branches in mid-August 2001 to 2003, and 3—year average, in trees under different orchard floor management systems. Each value is an average of 12 trees ...................................................... 147 APPENDIX B Table B]. Day of the year (DOY) with corresponding date in which treatment applications of floor management were performed .............................. 154 Table 3.2. Nitrogen content (% dry weight) in alfalfa hay at moment of application to boxes with Mulch ..................................................................... 154 Table 3.3. Ratio of C :N in alfalfa hay mulch for two dates in 2003 and for two different layers according to time of application ............................................. 155 Table B. 4. Nutrient content for leaves of ‘Buckeye Gala’ sampled from the middle portion of one-year—old branches in mid-August 2001 to 2003, in trees under different orchard floor management systems. Each value is an average of 12 trees ..................................................................................... 156 APPENDIX D Table D1. Field experiment. Day of the year (DOY) with corresponding date in which treatment applications were performed ............................................. 163 xiv Table D2. Container experiment. Day of the year (DOY) with corresponding date in which treatment applications were performed .................................... 164 Table D3. Field experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Mulch treatment ................................................................................ 165 Table D4 Field experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Flame treatment ................................................................................ 166 Table D5. Field experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Sandwich treatment ................................................................... 168 Table D6. Container experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Mulch treatment ....................................................................... 170 Table D7. Container experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Flame treatment ........................................................................ 171 Table D8. Container experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Sandwich treatment ................................................................... 172 Table D9. Container experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Partial Cover treatment ............................................................... 173 Table D.10. Container experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Total Cover treatment ................................................................ 175 XV LIST OF FIGURES CHAPTER 1 Figure 1.1. Content of soil organic matter (SOM) in the row position (expressed as % dry weight) by sampling date. A. for 0 — 10 cm depth. B for 0 — 30 cm depth. Each point represents a mean of six samples (iSE). Analysis of variance was carried out for each date. Values with the same letter are not significantly different for pS0.05 (LSMEANS test) .............................................................. 41 Figure 1.2. Content of soil organic matter (SOM) in the three positions of Sandwich (expressed as % dry weight) by sampling date. A. for 0 — 10 cm depth. B. for 0 - 30 cm depth. Each point represents a mean of six samples (iSE). Analysis of variance was carried out for each date. Values with the same letter are not significantly different for p50.05 (LSMEANS test) ......................................... 42 Figure 1.3. Content of NO3'— N in soil for position row (expressed as ppm) by sampling date. A. for 0 — 10 cm depth . B. for O — 30 cm depth Each point represents a mean of six samples (:tSE). Analysis of variance was carried out for each date. Values with the same letter are not significantly different for p50.05 (LSMEANS test) ............................................................................................... 43 Figure 1.4. Carbon mineralization. Cumulative ug COz-C evolved per g of soil during 155 days of laboratory incubation at 25°C and no light for soil from row position of three orchard floor management systems. Samples were collected on April 24th 2003 ............................................................................................. 44 Figure 1.5. Mineralized C of soil fiom rows, after 77 and 155 days of laboratory incubation as affected by orchard floor management system. Samples were collected April 24th 2003. Bars with the same letter are not significantly different for pS0.05 (LSMEAN S test) .............................................................. 45 Figure 1.6. Nitrogen mineralization potential. Nitrogen available in soil (mg Kg") after different days of incubation in laboratory at 25°C and no light from soil of the row position (0 — 10 cm depth) from different treatments. Each value is a mean of six samples. Samples were collected on April 24th 2003 .............................. 46 Figure 1.7 Volumetric soil moisture content (as %) measured with TDR for the average of 0-45 cm depth, on the tree row during years 2002 and 2003 ........................ 47 Figure 1.8. Cumulative trunk cross sectional area increase (TCAI) of ‘Pacific Gala’ in cm2 between 2000 and 2003 as affected by: A. orchard floor management systems, and B. rootstocks. Analysis of variance was performed between rootstocks and treatments. Letters indicate significant differences for 1250.05 (LSMEAN S test) ............................................................................................... 48 xvi Figure 1.9. Fruit set of ‘Pacific Gala’ grafted on three different rootstocks and under different orchard floor management systems for year 2003. It shows significant interaction between orchard floor management systems and rootstocks .......... 49 Figure 1.10 First harvest. Fruit production in kg/plant of ‘Pacific Gala’ by rootstock and for the three treatments (n=12). Year2003. It shows significant interaction between orchard floor management systems and rootstocks ............................ 50 CHAPTER 2 Figure 2.1. Diagram of the system designed for leachate collection. The wooden boxes for the apple trees were lined with plastic film before filling and a funnel (F) installed from which a plastic pipe (PP) conducted the leachate to a jug (J) inside a 20 l. bucket (B) with the lid placed just above soil level ....................................................................................... 81 Figure 2.2. Content of organic matter in soil (SOM) for 0-30 cm depth of boxes with trees by date for different treatments (n=16). (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Analysis of variance was carried out for each date. Values followed by different letters within date are significantly different for p50.05 (Tukey’s adjusted) ............ 81 Figure 2.3. Nitrogen content in soil (ppm of N03'—N ) in 0-30 cm depth by treatment (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover) for boxes with trees. Each value is average of 16 replicates :k SE. Analysis of variance was carried out for each date. Values followed by different letters in the same row are significantly different for p50.05 (Tukey’s adjusted) ............................................................................................................ 82 Figure 2.4. Seasonal pattern of N content in soil (ppm NHI—N) in 0 - 30 cm depth as affected by orchard floor management system. Each value is average of 16 replicates :t SE. Analysis of variance carried out for each date gave no significant differences for pS0.0S (Tukey’s adjusted) ..................................... 83 Figure 2.5. Soil moisture measured with TDR for 0 - 45 cm depth for 2002 .................... 84 Figure 2.6. Soil moisture measured with TDR for O - 45 cm depth for 2003 .................... 84 Figure 2.7. Volume of leachate (liters/m2) recovered fi'om boxes with apple trees during three consecutive seasons (2001-2003) for different soil management systems (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Each bar represents the average of 16 replicates. Analysis of variance was carried out for each date, bars with same letter have no significant differences for p50.05 (Tukey’s adjusted) ..................................... 85 xvii Figure 2.8. Total N03'—N (g./m2 per year) collected in the leachate from boxes during the whole year for each soil management system (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover) Each bar represents the average of 16 replicates :t SE. Analysis of variance was carried out for each date, bars with same letter have no significant differences for pS0.05 (Tukey’s adjusted) ............................................................................................................ 85 Figure 2.9. Trunk cross sectional area increase (TCAI) between April 2001 and November 2003 measured 25 cm above the graft union for two rootstocks and by orchard floor management treatment (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Each bar represents an average of 8 replicates. Results of analysis of variance are shown for rootstock effect under each treatment. Bars with the same letter are not significantly different for p50.05 (Tukey’s adjusted) ....................................... 86 Figure 2.10. Total growth in length (cm) of all growing branches during 2002 and number of branches, for two rootstocks under each orchard floor management system treatment (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Bars are average of 8 replicates :t SE. Results of analysis of variance are shown for rootstock under each treatment. Bars with the same letter are not significantly different for p50.05 (Tukey’s adjusted) ............................................................................................................ 87 Figure 2.11. Figure 2.11. Tree volume estimation (m3), after growth in 2003, for trees grafted on rootstocks Supporter 4 and M.9 NAKB 337 under different soil management systems (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Bars are average of 8 replicates t SE. Results of analysis of variance are shown for rootstock under each treatment. Bars with the same letter are not significantly different for p50.05 (Tukey’s adjusted) .......................................................................................................... 88 CHAPTER 3 Figure 3.1. Trunk cross sectional area increase (TCAI) between April 2001 and November 2003 measured 25 cm above the graft union for two rootstocks and by orchard floor management treatment (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Each bar represents an average of 8 replicates. Results of analysis of variance are shown for rootstock effect under each treatment. Bars with the same letter are not significantly different for p50.05 (Tukey’s adjusted) ............................. 108 Figure 3.2. Shoot and root dry matter accumulated per tree between April 2001 and November 2003 for ‘Buckeye Gala’ grafted on M.9 NAKB 337 as affected by orchard floor management treatment (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Each bar represents xviii an average of 4 replicates 2% SE. Complete bars (shoot + root) with same capital letter indicate total dry matter of trees that are not significantly different for p50.05 (Tukey’s adjusted). Bar portions with the same lower case letter are not significantly different for p50.05 (Tukey’s adjusted) ........................ 109 Figure 3.3 Root/shoot ratio of 3-year-old ‘Buckeye Gala’ grafted on M.9 NAKB 337 as affected by orchard floor management treatment (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Each bar represents an average of 4 replicates :1: SE ......................................... 109 Figure 3. 4. Regression between the rootzshoot ratio (R:S) and the C:N ratio of the total tree biomass for ‘Buckeye Gala’ grafted on M.9 NAKB 337. Each value is an average of 4 replicates ................................................................ 110 Figure 3.5. Nitrogen concentration in tissue (% in dry weight) in different plant parts from ‘Buckeye Gala’ trees on rootstock M.9 NAKB 337 harvested in November 2003 under different orchard floor management systems (MU = mulch, FL = flaming, SS = Sandwich system, PC = Partial cover, TC = Total cover). Each bar represents an average of 4 replicates i SE. Analysis of variance was carried within each tree part. Bars with the same letter are not significantly different for pS0.05 (Tukey’s adjusted) ............................ 111 Figure 3.6. Total N content (in g of N/tree) in different plant parts fi'om ‘Buckeye Gala’ trees on rootstock M.9 NAKB 337 harvested in November 2003 from different soil management systems (MU = mulch, FL = flaming, SS = Sandwich system, PC = Partial cover, TC = Total cover). Each bar represents an average of 4 replicates :1: SE. Analysis of variance was carried within each tree part. Bars with the same letter are not significantly different for p50.05 (Tukey’s adjusted) ................................................................................ 112 Figure 3.7. Dry weights (in g/mz) of vegetative soil covers separated for root and shoot portions in each orchard floor management system, and rootzshoot ratio (R/S) of that biomass. Each value is mean of 4 replicates. Analysis of variance results shown are for total dry biomass of vegetative cover (root + shoot); bars with the same letter are not significantly different for p50.05 (Tukey’s adjusted) ................................................................................ 113 CHAPTER 4 Figure 4.1 Field Experiment. Number of species identified n the vegetative soil cover for each orchard floor management during 5 surveys. Each bar is mean of 6 replicates ............................................................................... l 35 xix Figure 4.2. Field Experiment Plants/m2 counted for all species in the vegetative soil cover for each orchard floor management during 5 surveys. Each column is mean of 6 replicates :t Std error ............................................................... 135 Figure 4.3. Container Experiment Number of species identified in the vegetative soil cover for each orchard floor management during 5 surveys. Each bar is mean of 4 replicates .......................................................................... 136 Figure 4.4. Container Experiment Plants/m2 counted for all species in the vegetative soil cover for each orchard floor management during 5 surveys. Each bar is mean of4 replicates i Std error136 APPENDIX A Figure A.1. Ten-day average for maximum and minimum daily temperatures of air (°C) and monthly precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2000. Data were collected by the Michigan Automated Weather Network ....................................................... 148 Figure A.2. Ten—day average for maximum and minimum daily temperatures of air (°C) and monthly precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2001. Data were collected by the Michigan Automated Weather Network ....................................................... 148 Figure A.3. Ten-day average for maximum and minimum daily temperatures of air (°C) and monthly precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2002. Data were collected by the Michigan Automated Weather Network ....................................................... 149 Figure A.4. Ten-day average for maximum and minimum daily temperatures of air (°C) and monthly precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2003. Data were collected by the Michigan Automated Weather Network ....................................................... 149 Figure A.5. Diagram of the application of the orchard floor management systems to the tree rows ................................................................................ 150 Figure A.6. Monthly soil moisture average measured by TDR (% v/v) and precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2002- 2003. MU=Mulch, F L=Flame; SS=Sandwich .................................... 151 Figure A.7. Monthly irrigation applied and precipitation (mm) occurred at Clarksville Horticultural Experiment Station during 2001. Precipitation data was collected by an automated weather station of the Michigan Automated Network ....... 151 XX Figure Figure Figure Figure Figure Figure Figure Figure A.8. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2002. Precipitation data was collected by an automated weather station of the Michigan Automated Network ....... 152 A9. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2003. Precipitation data was collected by an automated weather station of the Michigan Automated Network ....... 152 APPENDIX B 8.1. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2001. Precipitation data was collected by an automated weather station of the Michigan Automated Network ....... 157 8.2. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2002. Precipitation data was collected by an automated weather station of the Michigan Automated Network ....... 157 8.3. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2003. Precipitation data was collected by an automated weather station of the Michigan Automated Network ....... 158 APPENDIX C C.l. Irrigation and total precipitation (mm) recorded monthly at Clarksville Horticultural Experiment Station during 2001. Data was collected by an automated weather station of the Michigan Automated Network .............. 160 C2. Irrigation and total precipitation (mm) recorded monthly at Clarksville Horticultural Experiment Station during 2002. Data was collected by an automated weather station of the Michigan Automated Network .............. 160 C3. Irrigation and total precipitation (mm) recorded monthly at Clarksville Horticultural Experiment Station during 2003. Data was collected by an automated weather station of the Michigan Automated Network .............. 161 Figure C.4. Regression between tree total dry matter weight (g) and root:shoot ratio... 1 61 xxi CHAPTER 1 CHAPTER 1 ROOTSTOCK PERFORMANCE UNDER DIFFERENT ORCHARD FLOOR MANAGEMENT SYSTEMS FOR ORGANIC APPLE PRODUCTION Abstract Orchard floor management has a high impact on soil condition and thus on tree performance. This research was initiated to investigate the effect of alternative orchard floor management systems, compatible with organic production, on soil parameters and apple rootstocks of diverse vigor. Alfalfa hay mulch, propane flame burner and Swiss Sandwich system (a combination of resident vegetation and tilled strips) were compared from 2001 to 2003. These treatments applied to the tree rows, which provided different vegetation-free area, were followed in regard to their applicability and effect on soil organic matter, nitrogen availability, moisture, and soil food web composition. Laboratory incubations to determine C and N mineralization potentials were performed. Growth and productivity parameters of ‘Pacific Gala’ grafted on M.9 NAKB 337, M.9 RN29, and Supporter 4 were measured. Both C and N pools were enhanced by Mulch and to a lower extent by Sandwich; conversely no increase took place under Flame. Nitrate-N content in soil under Mulch increased between 5 and 10 times compared to Sandwich and Flame. Mulch required important input of material, Flame was highly sensible to timing in regard to efficiency and side effects; Sandwich was easy to apply and maintain. Significant interaction was found between orchard floor management and rootstock. Growth and yield were in general higher for Mulch but did not express as big a difference as would be expected from the inputs. Even though vegetation-free area was greater in Flame it did not differ from Sandwich, except for M.9 RN29 which had a better performance in Sandwich. Supporter 4 was more vigorous and less precocious than M.9 NAKB 337. INTRODUCTION Worldwide efforts towards developing more sustainable agricultural systems and the importance of organic production of fruits and vegetables have increased steadily in the last few decades (Yussefi, 2004; Dimitri, 2002). Compared with conventional agriculture, contemporary organic production has fewer available tools (e.g. herbicides, insecticides), thus there is a need to develop and adjust methods and practices acceptable for organic production and that concomitantly render the systems more sustainable. In the organic production approach, soil is a basic part of the farming system and is considered the main support for life. As stated by some of the main thinkers identified with the origins of the Organic Movement, the key to the health of soil and its fertility, is to observe the Rule of Return which states the importance of encouraging the presence of humus (Conford, 2001). Understanding the soil as a living organism and valuing the processes carried on by all organisms that live within it, is the basis for its sustainable management. Soil organisms influence every aspect of decomposition and nutrient availability (Magdoff, 2000). In fruit production, orchard floor management is a key component of the system with an increased importance under organic production conditions (Bloksma, 2000; Tinsley, 2000)). Orchard floor management has as its main objectives to maintain and/or increase the soil fertility, physical and biological properties, and to supply nutrients and water to trees in a synchronized way. Practices of floor management include soil covers and their management, as well as weed management. Soil covers can be either live (e.g. cover crops) or dead organic matter (hay, straw, wood chips) or inert materials (plastic, paper, cardboard) that are seeded or put on the soil surface to achieve some beneficial effect. In numerous cases their use can improve sustainability of fruit production. The beneficial effects of soil covers have been studied under various conditions. These effects, depending on the type of soil cover used, include improvement of soil organic matter content, erosion control, soil moisture retention, competition with weed species, soil fertility enhancement, increased numbers of beneficial insects, improved fruit quality, and ease of equipment movement and circulation (Childers, 1972; Hogue and Neilsen, 1987; Hipps and Samuelson, 1991). One of the main challenges to fruit growers is to maximize the benefits of soil covers while minimizing the disadvantages. For example, one main downside effect of cover crops as soil covers is competition for water and nutrients with the main crop. Other factors to take into account are costs and timing of hand labor required to install and maintain soil covers. Fruit trees need a vegetation free area to reduce or prevent competition for nutrients and achieve maximum growth and production. Some authors have investigated the effect of the time during which the tree is provided with that area (Merwin and Ray, 1997), and others have focused on its spatial arrangement or size (Parker, 1990; Welker and Glenn, 1991; Merwin and Ray, 1997). Most of the studies include the tree trunk inside the vegetation free area, generally with the trunk centered in that space. In organic production, the lack of authorized herbicides has given a renewed importance to weed control. Mechanical control is the most common weed control practice used in organic production but has a high risk of trunk damage and requires a considerable cost of hand labor or the need of sophisticated and expensive machinery. The importance and concern of this problem is shown through numerous studies and surveys in which growers give high priority to solving weed aspects in organic fruit production (Sooby, 1999; Webster, 2000). In the search for more sustainable production systems, one key aspect to consider is the change of approach from weed control to weed management (Fryer, 1983). Weed management emphasizes integration of preventive techniques, scientific knowledge, and management skills. A better understanding of the ecology and biology of weeds can help in understanding weediness and thus permit the design of appropriate management (Buhler, 1999). Soil cover application and weed control must be coordinated. To maximize the benefits of soil cover it is necessary to increase the time and coverage of the vegetation, and implement vegetation-free areas only when weed competition with the fruit tree is critical. Keeping the tree strips weed free just for “cosmetic” reasons or “tradition” is not compatible with the idea of soil management under organic production (Weibel, 2002). To solve practical aspects of providing a vegetation-free area and at the same time also reducing damage to trunks, this area can be relocated away from the tree trunks. Once located away from the trunk, and with a smaller dimension and during a shorter period of the season, the trees are expected to face more stressful conditions. New practice protocols need to be developed that will be acceptable under organic standards increasing the ecological sustainability of the system, easing the work load and expenses, and achieving for the grower a comparable or higher success than current conventional practices. Another element of vital importance in the fruit production system is the type of rootstock used. Rootstocks are the part of the plant in direct contact with the soil. They are selected for adaptation to soil conditions and according to the growth characteristics that they impose to the scion. Rootstock evaluation is generally performed using standard practices that tend to give ideal conditions for the growth of the tree. Although there is a wide range of rootstock vigor, information on their response under different levels of stress generated by different types of orchard floor management is lacking. Considering the importance of managing soil covers and the need for alternatives from conventional weed control practices it would be of great value to develop information about the applicability and impact on soil and trees of orchard floor management systems compatible with organic production. For this purpose three contrasting systems with different spatial distribution and surface per tree of vegetative- free-area, achieved through diverse practices (shading, flaming, and filling), were used to evaluate performance of three rootstocks of different vigor. The objectives of this study were: 1) to determine the practical applicability of each orchard floor management system; 2) estimate their impact on soil conditions and tree performance; 3) evaluate if rootstocks with different vigor would have a diverse response to the anticipated changes away from ideal “standard” growing conditions. MATERIALS AND METHODS Site description The orchard is located at the Horticultural Experiment Station of Michigan State University (latitude of 42° 84’ N and longitude of 84° 24’ W) in the vicinity of Clarksville, MI. The experiment was conducted from 2000 to 2003. Previous farming consisted of a conventional soybean-corn-corn-alfalfa rotation for two cycles until 1999, at which point soil preparation began with sowing of buckwheat followed by a mixture of red clover and endophytic rye. The field experiment covers an area of 0.38 ha of the 2.5 ha of total surface that is certified by the Organic Crop Improvement Association (OCIA). The predominant soil type is a Kalamazoo sandy clay loam (Typic Hapludalfs) with mild slopes of less than 3%, and a particle size composition of 53.1% sand, 23.1% silt, and 23.8% clay. Daily temperatures and precipitation during the whole experiment were recorded with an automated weather station of the Michigan Automated Weather Network, located approximately 560 in west of the orchard (Figures A.1 thru A.4, Appendix A). Plant material One-year-old ‘Pacific Gala’ apple trees (Malus x domestica Borkh.) grafted on three different rootstocks (M.9 NAKB 337, M.9 RN29, and Supporter 4) were planted in April 2000. The clonal rootstock M.9 NAKB 337 has the vigor of a weak M.9 growing under 40% of the size of a seedling (Marini, 2000; Robinson, 2003). M.9 RN29 is a clone slightly more vigorous than the NAKB 337. Supporter 4, which is a cross of M.9 x M.4, is a more vigorous rootstock, with a size comparable to M.26. Trees were uniform in size and had no differences in trunk cross sectional area at planting time. Planting distance was adjusted according to the vigor of each rootstock and the acquired knowledge of their performance under Michigan conditions (Perry, 2002). Distance between rows was 4.6 m while the distance between trees in the row ranged from 1.4 m for M.9 NAKB 337, to 1.7 m in the case of M.9 RN29, and 2.0 m for Supporter 4. Plants were trained to a vertical axe with the use of rubber bands and clothes pins to bend branches (Perry, 2000). Minimal pruning was applied, mainly to single out the leaders or main branches. Trees arranged in single rows of same rootstock and distances were established as guard rows so that each data row alternated with buffer rows. A trellis system with two wires and a galvanized metal pole to support each tree were installed. Orchard floor management Chicken compost was applied in 1999 at a rate of 1250 kg/ha (1100 lb/acre) and lime at a rate of 2250 kg/ha (2000 lb/acre). A mixture of red mammoth clover and endophytic rye was sown at planting time in April 2000. To discourage weed development and enhance clover growth, mowing was performed regularly in all alleys of the orchard according to best management farming practices. Three different orchard floor management systems were applied to the trees at the beginning of the season in 2001 (Figure A.5, Appendix A): 1. Mulch (MU): A l-m-strip on each side of the tree row was covered with alfalfa hay mulch. During the growing season the thickness of the cover was over 15 cm to provide a shading effect that would suppress weeds, and to maintain moisture. Mulch was hand- applied in early spring and fall. 2. Flame (FL): A-l-m strip on each side of the tree row was kept free of vegetation through the use of a propane flame burner that provided 800,000 BTU, and was equipped with a metal cover to concentrate heat and prevent warm upward spells that cause tree damage. Minimal amounts of water were applied just behind the burner onto the orchard floor to reduce the risk of the heat affecting tree branches, or fire spreading to the neighboring mulch. The tractor speed was kept between 1.6 and 3.2 km/h, adjusted according to the density of weeds to be controlled. Weed flaming treatments were applied when weed height approached 10 cm (for dates see Table A. l. A., Appendix A). 3. Sandwich system (SS): an adaptation of a Swiss system (Weibel, 2002), consisted of a central strip that spread 30 cm to each side of the tree row in which vegetation was allowed to grow. A 70-cm-wide strip was tilled on each side of that vegetated central strip. The initial tilling was applied with a rotovator to cut down and incorporate the vegetation from the previous season. The following tilling applications were made with a spring tooth harrow to keep the strip weed-free. In the vegetated central strip, hand weeding was performed when weeds, known to host apple pests, dominated the strip such as curly dock (Rumax crispus L.), common lambsquarters (Chenopodium album L.), redroot pigweed (Amaranthus retroflexus L.) and thistles (Cirsium sp.). Tilling started in spring, and was repeated when weeds were 10 cm tall (for dates see Table A.l.B., Appendix A). Mulch decay and ON ratio The mulch was sampled at the time of application to determine the C/N ratio. In Spring 2003 a plastic net with 1 cm x 1 cm grid was laid down to separate mulch material recently applied from that applied the previous year. Decomposition rate of the mulch was monitored monthly for each age material until November. The samples were taken by cutting a vertical cylinder of 7.6 cm in diameter from the mulched area and the depth of each layer was recorded. The dry weight of the cores was measured in the laboratory after oven-drying for 48 hours at 60 ° C, and sub-samples were taken for C and N determination. Irrigation system Drip irrigation with drippers of 2.3 L/h every 0.6 m was installed in May 2001. The lines were suspended from the lowest wire of the trellis system at a height of 0.7 m to reduce the potential of damage while controlling weeds. All orchard floor management systems received equal irrigation throughout the season to keep the available soil water over 50% (Figure A.6 thru A.9, Appendix A). Tree growth and productivity measjurements Trunk cross sectional area was calculated from the diameter of the trunk measured at 30 cm above the graft union. The measurements were taken at the end of the growing season. Branch growth was measured on four branches chosen at the beginning of spring. The first three were selected to represent the bottom, middle, and lower-top parts of the tree, and the fourth branch was the leader. Branches selected for each position were 10 similar in size at the beginning of the measuring period and had a similar angle of insertion in the trunk. Branch length was measured weekly between June and August. Number of flower clusters in the whole tree was counted before full bloom, and total number of fruits as well as weight was measured per tree at harvest in 2003 (first cropping season). In March — April 2001 there was little pruning needed. The branches cut during the following seasons (2002 and 2003) were weighed as a complementary measure to estimate growth and vigor of trees. At the end of each season, the total height of the tree as well as two orthogonal diameters of the canopy at 0.7 m from the soil, were measured and used to estimate the canopy volume. Nutritional status A composite sample of 10 leaves per tree was taken in early August of each year from the middle portion of one-year-old branches. Relative chlorophyll content was measured using a SPAD-502 meter (Spectrum Technologies Inc, Plainfield IL). Leaves were then rinsed with distilled water, dried for 48 h at 60°C and analyzed for mineral nutrient composition. Soil sampling and measurements Soil was sampled 4 times per year, each year for each plot. Each sample was a composite obtained by mixing 20 cores taken from the 0-10 cm depth. Same procedure was followed for 0-30 cm depth. Samples were stored in plastic bags at 4 ° C for not more 11 than one month. In-row samples were taken not farther than 20 cm from the tree line. Alley sub-samples were mixed to make a composite sample from both sides of the tree row. In the case of SS treatment, a third sample was taken from the tilled area by mixing sub-samples from the strips on each side of the tree row. Soil moisture was measured by time domain reflectometry (TDR) using a Mini Trase 6050X3 (Soilrnoisture Equipment Corp., Goleta, CA) with 30, 45, and 60 cm long stainless steel rods permanently installed in the field in the tree rows, halfway between two trees. One measurement at each depth was taken for each of the 6 plots per treatment weekly in 2002 and every other week in 2003. Inorganic N (NO3' and NH?) was determined by the MSU Soil and Plant Nutrient Laboratory following the procedure described by (Kenney, 1982) using a Lachat automated colorimetric analyzer (Lachat Instruments Inc. Milwaukee, WI). Organic matter content was measured by loss on ignition of 3 g of dry soil at 400°C for 8 hours using a muffle furnace. Carbon mineralization potentials were obtained through laboratory incubation of fresh soil samples collected on April 13th 2001 and April 24th 2003. The soil samples were sieved through a 5 mm screen and sub samples of 50 g dry soil equivalent were weighed into 100 ml specimen containers. Moisture was adjusted to 50% of water holding capacity. The specimen containers were placed in mason jars with 10 ml distilled water to maintain humidity, and these were sealed with lids that had rubber septa. The jars were kept in a dark room at 25°C and C02 content of the headspace in the jar was determined on days 0, 21, 30, 50, 77, 100 and 150 with an infrared gas analyzer (LI- COR, Lincoln, NE) following the procedure described by (Paul et al., 2001) 12 Nitrogen mineralization potentials were determined from fresh samples of same date as C mineralization. After sieving through a 5 mm screen, sub samples of 20 g dry soil weight equivalent were put into 100 ml specimen containers. Soil moisture of samples was adjusted to 50% of water holding capacity estimated with the funnel method (Paul et al., 2001). The specimen containers were kept in a dark room at 25°C within a plastic box with water in the bottom to maintain humidity. One set of samples was analyzed for each time interval: 0, 30, 70 and 165 days. At the end of the respective incubation period, inorganic N (NH;r + NO3_) was extracted with 1N KCl and aliquots run on a Lachat automated colorimetric analyzer (Lachat Instruments Inc. Milwaukee, WI). Soil food web studies were performed with the soil sample collected on November 10th 2003 from 0-30cm. Samples were cooled down immediately after putting them in plastic bags and sent overnight to Soil Foodweb Inc. (Corvallis, OR) for immediate analysis of population composition of soil microorganisms through measurement of biomass of bacteria, fungi, protozoa, and nematodes. Experimental design and statistical afllvsis The experiment had a randomized complete block design with six replicates of the three applied treatments. The plots consist of 12 trees to which the main factor, ground floor management, was randomly assigned. Subplots are formed by four trees of each rootstock (split-plot). The two central trees of the subplot are the data trees. Analysis of variance was performed using MIXED procedure with SAS (Version 8, SAS Institute, Cary, NC, USA) to detect treatment effects. When treatment effects were significant, 13 means were separated using Least-squares means test (LSMEANS test) with p50.05 unless stated. RESULTS Soil parameters Soil organic matter content Prior to the establishment of orchard floor systems, soil analysis showed no differences between the plots. Organic matter content increased over three years with amount of change affected by orchard floor management system (Figure 1.1). Beginning in December 2002 the Mulch (MU) had significantly higher OM content (3.36 %) than Flame (FL) and Sandwich (SS) for the depth of 0-10 cm (Figure 1.1. A). For the deeper sampling (0—30 cm), the differences were less consistent with MU, which was highest in only two dates (April and November 2003) (Figure 1.1. B). Soil sampling of the SS revealed that OM content was significantly higher in alley at 0-10 cm depth than the row and tilled strip portions of this treatment but only for the last sampling date (Figure 1.2. A). Conversely, OM at 0-30 cm depth (Figure 1.2. B) was higher in the row than the tilled strip. 14 Soil Nitrogen content From the second sampling set, regardless of depth, the N03' - N content in the soil of the MU treatment was significantly higher in the row than the other two treatments for the duration of the experiment (Figure 1.3). Nitrate-N content varied among sampling time and location within the SS treatment (data not shown). C mineralization potential The orchard floor management systems had an effect on C mineralization potential, as it can be seen in the 2003 sampling (Table A2, Appendix A). Differences are clearer for the tree row where as the time of incubation increased so too did the differences (Figure 1.4). At the end of the period of 155 days, the soil from the row had a higher accumulation of CO2 for MU, followed by the SS which did not differ significantly (Figure 1.5). The lowest accumulation of CO2 occurred in the FL row, with a value significantly different from MU. When comparing the positions within the SS (Table 1.1) both, alley and strip had significantly higher accumulation than row. N mineralization potential The amount of N that potentially could be mineralized did not differ among treatments or location in the plot at the beginning of the experiment (Table A3, Appendix A). In 2003 for the row position (Figure 1.6) the MU treatment gave higher values of N potential than SS and FL for the initial stages of the incubation. There were 15 no significant differences between treatments for the net increment at the end of the incubation (day 71 to 165). The amount of N mineralized in the alley of the SS treatment was greater than tilled strip and row (Table 1.2). The values of N mineralization did not have a substantial change fiom 2001 to 2003 in the case of the alley, but went to less than half of the original average for the row ofFL and SS. Soil water content Measurements performed with TDR (Figure 1.7) to the depth of 45 cm showed that MU and FL had significant higher soil moisture than SS during part of the season of 2002. In 2003 there were no significant differences between the treatments even though the tendency of lower values for SS was the same as in the previous year. Soil food web In the analysis of population composition of soil microorganisms amounts of over 500 ug of total bacteria per g of soil were found for all treatments with no significant differences between them for active or total bacterial biomass (Table 1.3). The amount of fungal, total or active biomass, did not differ between treatments. Sandwich system had significantly higher values than the FL for active fungal biomass at p<0.l, while MU had an intermediate value that did not differ from any of the other treatments. Bacterial and fungal biomass were highest in the row than tilled strip in the SS (Table 1.4). 16 The protozoa population at 0-30 cm depth did not differ among treatments except for the ciliates, which were higher in MU (Table 1.3). No significant differences appeared between positions of SS (Table 1.4). The nematode population was characterized by a wide diversity and low numbers (Table 1.5). Mulch and SS had significantly higher number of bacterial feeders than FL, and SS had higher number of root feeders than MU and FL. There was lower total number of nematodes in the FL treatment. Tree parameters Trunk Size Values of TCAI of trees in the MU system were found to be slightly more vigorous than SS and FL. Treatment differences were only significant in 2002 (Table 1.6 & Figure 1.8.A). Rootstocks differed in vigor with Supporter 4 the most vigorous, M.9 RN29 next, followed by the weakest M.9 NAKB 337 (Figure 1.8.8). Branch growth Total annual branch growth was not significantly different between the three orchard floor management systems in 2001 and in 2003 (Table 1.7). Mulched trees in 2002 encouraged more branch growth than FL (intermediate) and SS systems. At the end of 2003 season, branch length was greater for Supporter 4 than other rootstocks. The interaction for the branch growth between the orchard floor management systems and the rootstocks was significant in 2001when the maximum growth under SS 17 was achieved by M.9 RN29 while under MU and FL there were no differences between M.9 RN29 and Supporter 4. This interaction was not significant for 2002 and 2003. Tree size Tree size reported as canopy volume, at the end of the experiment was greater for MU than for SS. Flame, with an intermediate value, did not differ significantly from either (Table 1.8). Supporter 4 had greater size tree than M.9 RN29 and M.9 NAKB 337. Pruning weigl_rt Orchard floor management systems and rootstocks influenced the amount of wood (branches) removed during pruning in winter in 2003 (Table 1.8). More wood was removed from the MU treatment, followed by FL and SS. As in trunk measurements, more wood was removed from the more vigorous Supporter 4 than M.9 RN29, followed by M.9 NAKB 337 (Table 1.8.3). Flower Density Flower density expressed here in number of flower clusters counted at full bloom per tree was greater on MU treatment than FL and SS in 2003 (Table 1.8.A). Trees on Supporter 4 were less precocious than M.9 RN29 and M.9 NAKB 337 in both years. Comparable results were found for the ratio of flower density/1“ CA (Table 1.8.8). No significant interaction between orchard floor management systems and rootstocks was found for flower density. 18 EntiLset The orchard floor management system had an impact on fruit set according to the rootstock. The interaction treatment by rootstock was significant (Figure 1.9). The increase of set that occurred for M.9 RN29 in the SS compared to the other treatments was greater than for the other rootstocks. Supporter 4 had the lowest values of mu set, varying between 1.8 and 8.4 % for the different treatments. Rootstock M.9 RN29 had values that went from 8.3 to 24.1 % and for M.9 NAKB 337 the values went from 14.1 to 15.4% showing a lower variation than both previous, under the different soil management systems. Nutritional status Rootstock treatments had no effect on foliar N levels for all three growing seasons. Management systems did not affect foliar N levels in 2001 (Table 1.9). Values in 2001 averaged 2.1 % N and rose to 2.4% in 2002. N levels in leaves in 2002 and 2003 were higher in the MU and FL treatments compared to the lowest values in the SS. Values for N separated more distinctly in 2003 with levels for MU greater than FL followed by SS. In none of the years was there a significant interaction between the orchard floor management and the rootstocks for the N content in leaves. Increase of the content of P, K, Ca, and Mg occurred from year to year between 2001 and 2003, same as in N (Table A4, Appendix A). Such trend was followed to a lower extent by the contents of Fe and Mn which increased significantly their content from 2001 to 2002, but did not differ between 2002 and 2003. Phosphorus levels in leaves from trees in the MU did not increase over the years. 19 The orchard floor management systems also had an effect on nutrient levels. Averaging the three years, the values of K and Mn were higher under MU while those of P and Zn had lower levels than the other treatments (Table 1.10). Differences between FL and SS were less, being the contents of K the only ones with higher values for SS. Y_iel_d The first significant production of ‘Pacific Gala’ was registered in 2003 (Table 1.11). The interaction of treatment by rootstock was significant in the case of yield (Figure 1.10). Trees managed in the MU treatment produced more hit than SS (except for M.9 RN29), followed by the FL treatment (Table 1.11.A). Cropping was greatest on the two M.9 rootstocks over Supporter 4 (Table 1.11.B). The same trend as for kg/plant was seen, between orchard floor management systems, for yield efficiency as expressed in grams per cm2 of TCA (Table 1.11.A) but differences were not statistically significant. Comparing rootstocks, ‘Pacific Gala’ on Supporter 4 had significantly less production (61 g/cmz) than on M.9 NAKB 337 or M.9 RN29 (278 and 241 g/cm2 respectively) (Table 1.11.B). 20 DISCUSSION The orchard floor management systems made significant impacts on trees and soil. The change in amount of organic matter in soil is a slow process that takes years unless large quantities are added. Organic matter content did not change through the years in the alleyways where the treatments remained unchanged and where vegetation was mowed. The three orchard management systems focused on an area down the tree rows, which was approximately 1.5 m in width, where they made the greatest impact. The amount of material added through the mulching process to the row generated an expected (Merwin et al., 1994; Sanchez et al., 2003) increase of SOM (Figure 1.1) especially in the first layer of soil (0 — 10 cm) for MU. It is reasonable that differences for 0 - 30 cm were less noticeable since that soil was not disturbed and the mulch was just placed on the soil surface. Some of the results were surprising, considering that management effects cannot be determined usually until after at least 10 years have elapsed (Diaz Rossello, 1992a; Paul et al., 2001). In the SS, the values of SOM for the three positions: row, strip and alley, for the 0-30 cm depth, showed significant differences in the second year after treatment installation. The differences varied but persisted until the end of the evaluation and the tilled strip position was always the one with lower SOM content. Strangely enough the differences were almost non existent for 0-10 cm depth. It has been well established that tilling increases soil aeration and loss of organic matter (Brady and Wei], 2002) even though the importance of those changes will depend on the original state of the soil prior to disruption (Calderon et al., 2000). Since the filling performed in the strip 21 was very shallow (equal or less than 10 cm), we were not expecting changes in content of SOM in the deeper profile if no differences occurred in the surface (Needelrnan et al., 1999). Soil organic matter content for alley and row position, in 0-30 cm depth, varied achieving differences in some years. When differences occurred, SOM was higher in the row than alley. The initial amounts of total N in soil for April 2001 showed no difference between the treatment plots where the contrasting soil management systems would be installed. After installation, the treatments started to have an impact on the soil condition and differences appeared in June 2001. From then on, the MU kept higher levels of total N in soil due to the continuous decomposition and mineralization of the alfalfa hay (Cookson et al., 2002). As it was expected (Donahue et al., 1971; Sarrantonio, 2003), the high content in protein and N of alfalfa, that clearly reflects in the low C:N ratio (between 20 and 15) assured a good supply of this critical nutrient. Significant differences for the row between the treatments, both at 0 ~10 and at 0-30 cm depth were constantly present throughout the experiment. The mulch provided more organic matter and it was efficient in conserving soil moisture through the growing season consistent with other numerous reports (Langord, 1937; Hogue and Neilsen, 1987). The mineralization potential of the soil determined through incubation confirmed the impact of the orchard floor management systems. The active C pool was enhanced and followed a similar pattern to SOM. The orchard soil management systems, even in the case of FL increased the active C pool compared to the values present at the moment of planting the trees after many years of agriculture production under the soybean-com rotation. The increase of SOM produced by the addition of alfalfa hay yielded an active C 22 pool 33 % higher for the MU treatment compared with FL. Coinciding with results from tart cherry orchards where living ground cover (including weeds) was found to affect positively the active C pool (Sanchez et al., 2003). The herbaceous vegetation in the row of the SS made a significant contribution increasing that reservoir by 13 % compared with FL. The size of the active N pool was also affected by the orchard floor management systems. The importance of N held in SOM has been stated in regard to its value as a source for plant uptake (Powlson and Jenkinson, 1990; Diaz Rossello, 1992b; Bloksma, 2000). We can estimate that N increased in a significant amount in the MU row due to the enhanced active N pool. The possibility of adding enough N through this practice for the trees is confirmed through their growth and N content in leaves (Hanson, 1996). Quality of the organic material added on surface to the soil has an important impact on the mineralization process (Handayanto et al., 1997; Wardle and Lavelle, 1997; Brady and Wei], 2002) The difference of the active N pool within the SS treatment for the different positions (Table 1.6) could be caused by the effect of the filling and of the diverse cover composition of row and alley. The different plants generate residue of different type and quality that goes into the soil, and at the same time have a different uptake. The mix of legumes and grasses in the alleyway grew with little restriction, other than occasional mowing, but likely was fixing N in higher quantities than the understorey in the row of the SS, where a higher number of grasses and broadleaf species were uptaking more N and fixing less. 23 The SS treatment surely provided a different environment than MU or FL, with lower levels of N and slightly lower soil moisture consistent with previous research (Hogue and Neilsen, 1987). Results found for the soil food web show also an impact of the orchard floor management systems. Total bacterial biomass was in levels over 500 ug of total bacteria per g of soil for the whole orchard. This meant an increase over 3 fold, compared to the original levels of the orchard. 0n the contrary, levels of fungi, protozoa, and nematodes have not improved so rapidly and higher levels could have an enhancement on nutrient cycling (Ingharn et al., 1985; Garcia and Moron, 1992; Yeates, 1998). A significant increase in number of ciliates was found for the MU treatment (Table 1.3). This is sometimes associated with anaerobic conditions generated because of compaction, which clearly was not the case under our experiment. The increased water content in the soil due to the thick layer of hay preventing evaporation might have generated anaerobic conditions that could explain the ciliates’ increase. The active fungal biomass tended to be higher in the SS with significant differences for p _<_ 0.10. The vegetated row of the SS had high levels of active bacterial and fungal biomass (Table 1.4). The total firngal biomass was significantly higher in the row than in the tilled strip of the SS. This clearly suggests that the diverse cover of the vegetation of the in-row is important in generating an adequate environment for multiplication of microorganisms. Recent studies (Bird, 2003) at the same experimental site have demonstrated how higher populations of microorganisms are present in the first few cm of the soil profile and even more in the litter when compared with deeper layers of the soil. Clearly, the differences among treatments and positions within those 24 treatments suffer a dilution effect when using the 0-30 cm depth to characterize the soil food web. The diversity of plant species in the row of the SS treatment also promoted a higher number of root feeder nematodes (Table 1.5). This could be a negative aspect that will need to be taken into account and a management strategy developed to prevent damage to the crop (Merwin and Stiles, 1989). The number of fungal/root feeder nematodes also tended to be higher, although not significantly. When we consider the tree’s response, we find differences among the treatments as well as among the rootstocks. Trees performed best in the MU system as measured by tree vigor, foliar N, flowering and number of fruits per plant. Vigor as measured by TCAI did not show significant differences in 2003 but did in the previous year when trees from MU treatment were found to be more vigorous than FL and SS. Nevertheless, there was a trend towards higher vigor of the MU confirmed by other parameters. For fruit production in kg/plant (Figure 1.10) there were higher values for the MU, but those differences were not statistically significant for all rootstocks. When comparing FL and SS, the differences in tree response are less. In spite of the lack of competition from weeds, and higher water availability, the trees under the FL did not grow and produce differently from the SS. The vegetation-free area for trees in FL was 30% more extended than in SS. The spatial arrangement of this area also differed. For FL (as for MU) the vegetation-free area was centered on the trunk, while for SS it was in two lateral strips not including the tree trunk. Previous studies have reported the impact of the vegetation- free area on growth of peach and apple trees (Welker and Glenn, 1989; Parker, 1990). (Merwin and Ray, 1997) working with newly planted apple trees showed that weed-free 25 areas above 2 m2 per tree, in general, would not give a strong enough response to justify the cost necessary to increase that weed-free area. In our experiment, all trees had slightly over 2 m2 per tree, except for M.9 NAKB 337 in the SS with 1.9 m2. We could probably be too near to the threshold in this last case and a wider tilled strip might have a more desirable impact. In regard to weed-free period, clear differences were between MU and the other treatments. While MU had an effective 100 % of the season weed-free, in the case of FL and SS the weed-free period was from May till August when flaming and filling applications were stopped. This covers the period recognized by most authors as the critical one (Neilsen and Hogue, 1985; Merwin and Ray, 1997). The timing of treatment applications could be something to adjust but we wouldn’t expect important changes from this in regard to tree performance improvement. Leaf nutrient content in apple trees has been reported to be affected by the orchard floor management (Neilsen and Hogue, 1985; Merwin and Stiles, 1994). The leaf N content of trees reflected the higher N availability of MU, although they were all in the optimum range (Hanson, 1996). Considering all treatments, the levels of K tended to be above optimum range, while Mg reached minimum requirements and Fe, Cu, and Mn appeared slightly deficient (Hanson, 1996). In regard to K concentrations the variations found in this experiment coincide with others (Merwin and Stiles, 1994) being highest under MU. In the case of P various reports state an increase of its availability in soils under mulch (Delver, 1980; Merwin and Stiles, 1994) and others a decrease when ground cover was suppressed (Atkinson and White, 1980; Neilsen and Hogue, 1985). In our study the unchanged level of P under MU could be due to a dilution effect caused by the increased N availability and growth, as well as by a smaller root size (see Chapter 3). 26 As demonstrated in rootstock trials elsewhere (Marini, 2000), trees on Supporter 4 were more vigorous than intermediate M.9 RN29 and weakest growing M.9 NAKB 337. Consistent with those reports, ‘Pacific Gala' on Supporter 4 was less precocious than the M.9 clonal rootstocks. For fruit production, we found a significant interaction treatment by rootstock. While M.9 NAKB 337 was the highest yielding rootstock for MU and FL treatments for one season, M.9 RN29 was the one to perform best under the SS. More seasons of cropping are needed to study this further, but results suggest that this rootstock demonstrates a potential capability to overcome higher stress conditions than the standard M.9 NAKB 337 being more adequate to fit into potentially more stressful sandwich system (less soil moisture and less N available to the trees). CONCLUSIONS The organic matter content of soil changes relatively slowly. This research demonstrated that the orchard floor management system treatments had a positive impact on organic matter content. Among the treatments, Mulch at the 0-10 cm depth had the greatest impact. This effect was inconsistent. at 0-30 cm depth. Both C and N pools were enhanced by the Mulch and to a lower extent by Sandwich, conversely no increase took place under Flame. Nitrate-N content in soil increased significantly for both depths in the row under Mulch. The results obtained from this study confirm that tree grth and yield are best in the Mulch. There were no differences between Flame and Sandwich even though 27 vegetation-free area was greater in the Flame. Spatial distribution of that area, not including the tree trunk, had no important consequences. The high levels of N03_-N in soil under Mulch indicate a higher risk of leaching for this orchard floor management system. The use of alfalfa hay should be adjusted carefully to prevent it and the potential environmental damage. Either by alternating or by mixing sources with different N content and C:N ratio, an adequate supply could be reached. Availability and cost of mulching material, application logistics and secondary effects like increase of mice and fire risk, remain as draw backs of this orchard floor management system that should be taken into account. Flame was the most sensitive orchard floor management system to timing for a successful result. Risk of heat damage to trees obliges to have a careful monitoring of environmental conditions and treatment application. We think that the SS is a viable orchard floor management strategy. The easiness of application of this system and its versatility show advantages when compared with the other orchard floor management systems. Even though some indicators might not be as ideal as it would be desired, like the increased levels of root feeder nematodes, there are numerous possibilities for adjusting the system for Michigan conditions. The restrained width and depth of the tilling strip seems to have a low impact on soil and until now no consistent difference were measured for soil organic matter or N03’-N content when compared with row. The rootstock performance was within the expected values with a more vigorous Supporter 4, followed by M.9 RN29 and M.9 NAKB 337. There was a significant interaction between treatment and rootstock due to a better performance of the M.9 RN29 28 under SS while M.9 NAKB337 was the best for MU and FL treatments. This confirms in a first step, the idea of being able to compensate certain levels of competition through the use of a more vigorous rootstock. These observations should continue so as to confirm these results on the long term. 29 LITERATURE CITED Atkinson, D. and G. C. White (1980). Some effects of orchard soil management on the mineral nutrition of apple trees. In: 'Mineral nutrition of fruit trees'. D. Atkinson, J. E. Jackson, R. 0. Sharples and W. M. Waller. Butterworths. London - Boston. pp: 241-254. Bird, G. W. (2003). Soil quality dynamics associated with transitioning from a Michigan conventional com-soybean production system to an organic apple orchard. Michigan State University, East Lansing. 18 p. Bloksma, J. (2000). Soil management in organic fruit growing. Conference 'Organic fruit opportunities and challenges', Ashford, Great Britain. Brady, N. C. and R. R. Weil (2002). The nature and properties of soils. Upper Saddle River, NJ, Prentice Hall. 960 p. Calderon, F. J ., L. E. Jackson, K. M. Scow and D. E. Roston (2000). Microbial responses to simulated tillage in cultivated and uncultivated soils. Soil Biology and Biochemistry 32(2000): 1547-1559. Childers, N. F. (1972). Modern fruit science. Somerville, NJ, Somerset Press, Inc. 912 p. Cookson, W. R., I. S. Comforth and J. S. Rowarth (2002). Winter soil temperature (2-15 °C) effects on nitrogen transformations in clover green manure amended or unamended soils; a laboratory and field study. Soil Biology and Biochemistry 34(10): 1401-1415. Delver, P. (1980). Uptake of nutrients by trees grown in herbicide strips. In: 'Mineral nutrition of fruit trees'. D. Atkinson, J. E. Jackson, R. 0. Sharples and W. M. Waller. Butterworths. London - Boston. pp: 229-240. Diaz Rossello, R. (19923). 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Garner, G.M. Greene, C. Harnpson, P. Hirst, M.M. Kushad, E. Mielke, C.A. Mullins, M. Parker, R.L.Perry, J .P. Prive, T. Robinson, C.R. Rom, T. Roper, J .R. Schupp, E. Stover, R. Unrath. (2000). Performance of 'Gala' apple on 18 dwarf rootstocks; A five year summary of the 1994 NC-140 Semi-dwarf rootstock trial. J. of the American Pomological Society 54(2): 92- 107. Merwin, I. A. and J. A. Ray (1997). Spatial and temporal factors in weed interference with newly planted apple trees. HortScience 32(4): 633-637. Merwin, I. A. and W. C. Stiles (1989). Root-lesion nematodes, potassium deficiency, and prior cover crops as factors in apple replant disease. J. Amer. Soc. Hort. Sci. 1 14(5): 724-728. Merwin, I. A. and W. C. Stiles (1994). Orchard groundcover management impacts on apple tree growth and yield, and nutrient availability and uptake. J. Amer. Soc. Hort. Sci. 1 19(2): 209-215. 31 Merwin, I. A., W. C. Stiles and H. M. van Es (1994). Orchard groundcover management impacts on soil physical properties. J. Amer. Soc. Hort. Sci. 119(2): 216-222. Needelrnan, B. A., M. M. Wander, G. A. Bollero, C. W. Boast, G. K. Sims and D. G. Bullock (1999). Interaction of tillage and soil texture: Biologically active soil organic matter in Illinois. Soil Sci. Soc. Am. J. 63: 1326-1334. Neilsen, G. H. and E. J. Hogue (1985). Effect of orchard soil management on the growth and leaf nutrient concentration of young dwarf red delicious apple trees. Canadian J. Plant Science 65: 309-315. Parker, M. L. (1990). The response of fi'uit trees to orchard floor management. Horticulture. East Lansing, Michigan State University: 136. Paul, E. A., S. J. Morris and S. Bohm (2001). The determination of soil C pool sizes and turnover rates: biophysical fi'actionation and tracers. In: 'Assessment methods for soil carbon'. R. Lal, J. M. Kimble, R. F. Follett and B. A. Stewart. CRC Press LLC. Boca Raton. pp: 193-206. Perry, R. (2000). The keys to maintaining productive Vertical Axe trees. The Fruit Growers News 39(5): 21. Perry, R. (2002). Spacing tree fruit. http://www.hrt.msu.edu/department/Perry/Spacing Fruit/Spacing Frpit Index.ht _rp. January 10, 2004. Powlson, D. S. and D. S. J enkinson (1990). Quantifying inputs of non-fertilizer nitrogen into an agro-ecosystem. In: 'Nutrient cycling in terrestrial ecosystems'. A. F. Harrison, Ineson, P. Elsevier Applied Science. UK. pp: 56-68. Robinson, T. L. (2003). Rootstock as a key component to high density orchards. Conference 'Orchard systems workshop’, Geneva, NY. Int. Dwarf Fruit Tree Assoc. Sanchez, J. E., C. E. Edson, G. W. Bird, M. E. Whalon, R. R. Harwood, K. Kizilkaya, J. E. Nugent, W. Klein, A. Middleton, T. L. Loudon, D. R. Mutch and J. Scrimger (2003). Orchard floor and nitrogen management influences soil and water quality and tart cherry yields. J. Amer. Soc. Hort. Sci. 128(2): 277-284. Sarrantonio, M. (2003). Soil response to surface-applied residues of varying carbon- nitrogen ratios. Biol. Fertil. Soils 37: 175-183. Sooby, J. (1999). Meeting the Research Needs of Organic Farmers. http://www.ofrf.m/research/needs.htrnl. May 18, 2004. 32 Tinsley, A. (2000). Nutrition of trees in organic systems. Conference 'Organic fruit Opportunities and challenges', Ashford, Great Britain. Wardle, D. A. and P. Lavelle (1997). Linkages between soil biota, plant litter quality and decomposition. In: 'Driven by nature'. G. Cadisch and K. E. Giller. CAB International Publishing. New York. pp: 107-124. Webster, T. (2000). Apple and pear scion varieties and rootstocks for organic tree fruit production. Conference 'Organic fruit opportunities and challenges', Ashford, Great Britain. Weibel, F. (2002). Soil management and in-row weed control in organic apple production. The Compact Fruit Tree 35(4): 118-121. Welker, W. V. and D. M. Glenn (1989). Sod proximity influences the growth and yield of young peach trees. J. Amer. Soc. Hort. Sci. 114(6): 856-859. Welker, W. V. and D. M. Glenn (1991 ). Growth response of young peach trees to distribution pattern of vegetation-free area. HortScience 26(9): 1141-1142. Yeates, G. W. (1998). Feeding in free-living soil nematodes: a functional approach. In: 'The physiology and biochemistry of free-living and plant-parasitic nematodes'. R. N. P. a. D. J. Wright. Cab International. Palmerston North, New Zealand. pp: 245- 269. 33 Table 1.1 Carbon mineralization potential of soil. Cumulative amount of C02-C (ug of CO2-C * g of soil ' 1) evolved during incubation in laboratory at 25°C and no light from soil of different positions of the sandwich treatment. Values are means of six replicates. Samples were collected April 24th 2003. Analysis of variance was carried out for each date after incubation. Values followed by the same letter within the row are not significantly different for p50.05 (LSMEANS test). Day Row Strip Alley 21 248b 284 ab 320 a 30 331 b 390 a 435 a 50 466 b 555 a 614 a 77 645 b 787 a 859 a 100 788 b 953 a 1029 a 155 1070 b 1297 a 1371 a Table 1.2 Nitrogen mineralization potential. Nitrogen available in soil (mg Kg") after different days of incubation in laboratory at 25°C and no light from soil of the sandwich treatment in its three positions (0 — 10 cm depth) Values are means of six replicates. Sample collected April 24th 2003. Analysis of variance was carried out for each date. Values followed by the same letter within the row are not significantly different for 1950.05 (LSMEANS test). Day Row Strip Alley O 16.54 b 19.31 b 32.76 a 30 36.59 b 42.28 b 52.54 a 70 53.08 b 57.21 b 78.31 a 165 69.48 c 83.94 b 92.15 a 34 Table 1.3. Soil food web. Microbial Biomass of bacteria and fungi (in rig/g soil) and protozoa (in number/ g soil) at 0-30 cm depth in the treatment row. Each value is mean of 6 replicates. Samples were collected November 10th 2003. Values followed by different letters in the same row are significantly different for 150.05 (LSMEANS test). Microorganisms Mulch Flame Sandwich Active Bacteria (AB) 29.16 a 33.08 a 39.18 a Total Bacteria (TB) 531.67 a 503.93 a 723.90 a AB / TB 0.08 a 0.08 0.09 a Active Fungal (AF) 7.85 ab 5.86 b 10.51 a Total Fungal (TF) 79.97 a 100.46 a 94.34 a AF / TF 0.10 a 0.07 a 0.12 a AP / AB 0.27 a 0.19 a 0.27 a TF / TB 0.21 a 0.23 a 0.20 a Protozoa Flagellates 3947.86 a 2419.58 a 2129.40 a Amoebae 5506.97 a 2639.87 a 3735.00 a Ciliates 1958.67 a 181.48 b 195.95 b 35 Table 1.4 . Microbial Biomass of bacteria and firngi (in rig/g soil) and protozoa (in number/g soil) at 0-30 cm depth in row and strip positions of the Sandwich treatment. Each value is mean of 6 replicates. Samples were collected November 10th 2003. Values followed by different letters in the same row are significantly different for pS0.05 (LSMEAN S test). Row Strip Active Bacteria (AB) 39.18 a 26.79 b Total Bacteria (TB) 723.90 a 496.96 b AB / TB 0.09 a 0.08 a Active Fungal (AF) 10.51 a 6.57 b Total Fungal (TF) 94.34 a 66.94 b AF/TF 0.12 a 0.10 a AP / AB 0.27 a 0.25 a TF / TB 0.20 a 0.21 a Protozoa Flagellates 2129.40 a 4824.23 a Amoebae 3735.00 3 4702.99 a Ciliates 195.95 a 201.67 a Table 1.5 Nematodes population characterization at 0-30 cm depth in the row by treatment (in Number of nematodes/g soil). Each value is mean of 6 replicates. Samples were collected November 10th 2003. Values followed by different letters in the same row are significantly different for p30.05 (LSMEANS test). Nematodes Mulch Flame Sandwich Bacterial feeders 0.79 A 0.21 b 0.71 a Fungal feeders 0.03 A 0.02 a 0.04 a Fungal/Root feeders 0.02 A 0.02 a 0.08 a Predatory 0.02 A 0.01 a 0.02 3 Root feeders 0.01 B 0.04 b 0.1 1 a Total 1.03 A 0.34 b 1.11 a 36 Table 1.6. Yearly Trunk Cross Sectional Area Increase (TCAI) of ‘Pacific Gala’ in cm2 by rootstock for the three treatments from 2001 to 2003 measured 30 cm above the graft union. Each value is an average of 12 trees. Analysis of variance was carried out for each year. Values followed by different letters in the same column or row are significantly different for p30.05 (LSMEAN S test). Rootstock Mulch Flame Sandwich ROOtStOCk average TCAI 2001 Supporter4 1.7 1.5 1.5 1.6 a M.9-RN29 1.5 1.1 1.7 1.4ab M.9 — NAKB 337 1.5 1.2 1.0 1.2 b Treatment 1 .6 1 .2 1 .4 TCAI 2002 Supporter4 4.4 3.5 3.6 3.8 a M.9 - RN 29 4.7 2.8 3.0 3.5 ab M.9 — NAKB 337 3.6 3.0 2.7 3.1 a Treatment 4.2 a 3.1 b 3.1 b TCAI 2003 Supporter4 7.5 7.2 5.9 6.9 a M.9 - RN 29 5.4 5.3 4.9 5.2 b M.9 - NAKB 337 5.4 4.7 4.1 4.7 b Treatment 6. 1 5.8 5.0 37 Table 1.7. Branch final length of ‘Pacific Gala’ in cm, by rootstock for the three treatments from 2001 to 2003. Each value is an average of 12 trees. Analysis of variance was carried out for each year. Values followed by different letters in the same column or row are significantly different for p30.05 (LSMEANS test). Rootstock Mulch Flame Sandwich Rootstock Avg a) 2001 Supporter 4 72.4 64.3 69.1 68.4 a M.9 - RN 29 71.2 64.6 74.4 70.0 a M.9 - NAKB 337 61.0 61.6 56.1 59.5 b Treatment Avg 67.9 63.5 66.3 b) 2002 Supporter 4 61.3 56.8 55.7 57.9 a M.9 - RN 29 58.3 55.5 51.2 55.0 a M.9 - NAKB 337 51.9 51.0 45.8 49.6 b Treatment Avg 57.1 a 54.5 ab 50.9 b c) 2003 Supporter4 46.4 51.7 52.0 50.1 a M.9 - RN 29 44.6 48.1 43.3 45.3 b M.9 - NAKB 337 44.9 45.4 45.8 45.3 b Treatment Avg 45.3 48.4 47.1 38 Table 1.8. The effects on tree vigor, flowering, and fruit set of ‘Pacific Gala’ for 2003 by: A. orchard floor management systems, and B. rootstocks. Each value is an average of 12 trees. Analysis of variance was carried out for each variable. Values followed by different letters in the same row are significantly different for p50.05 (LSMEAN S test). A TREATMENTS units Mulch Flame Sandwich Canopy volume m3 3.65 a 2.85 ab 2.48 b Pruning wood weight gr 100 a 64 b 55 b No. of flower clusters number 194 a 69 b 73 b No. clusters/TCA No./om2 15.2 a 6.4 b 6.3 b Fruit set * % 13.2 8.2 15.5 B ROOTSTOCKS units Supporter 4 M.9 RN29 M.9 NAKB337 Canopy volume or3 3.10 ab 3.17 a 2.71 b Pruning wood weight gr 83 a 78 a 57 b No. of flower clusters number 94 b 121 a 122 a No. clusters/T CA No./cm2 6.3 b 10.5 a 11.1 a Fruit set * % 6.1 16.2 14.6 * significant interaction rootstock by treatment Table 1.9. Leaf N content (% dry weight) of ‘Pacific Gala’, by treatment and rootstock from 2001 to 2003 (n=36 in 2001, and n=12 in 2002 and 2003) Analysis of variance was carried out for each year. Values followed by different letters in the same column are significantly different for p50.05 (LSMEAN S test). 2001 2002 2003 TREATMENTS Mulch 2.14 2.42 a 2.68 a Flame 2.10 2.39 a 2.43 b Sandwich 2.10 2.25 b 2.24 c ROOTSTOCKS Supporter 4 2.34 2.48 M.9 RN29 2.36 2.38 M.9 NAKB 337 2.36 2.49 Table 1.10. Three-year average nutrient content for leaves of ‘Pacific Gala’ sampled from the middle portion of one-year-old branches in mid—August 2001 to 2003, in trees under different orchard floor management systems. Each value averages 12 trees. Values followed by different letters in the same column are significantly different for p30.05 (LSMEAN S test). P (%) K (%) Mn (ppm) Zn (ppm) Mulch 0.21 b 2.04 a 42.42 a 14.34 b Flame 0.25 a 1.90 b 31.53 b 19.81 a Sandwich 0.27 a 1.98 ab 30.34 b 18.88 3 Std error 0.013 0.041 1.849 1.606 Table 1.11. The effect on quantitative and qualitative characteristics of ‘Pacific Gala’ in 2003 of: A. orchard floor management systems, and B. rootstocks. Each value is an average of 12 trees. Analysis of variance was carried out for each variable. Values followed by different letters in the same row are significantly different for pS0.05 (LSMEANS test). A TREATMENTS unit Mulch Flame Sandwich Total production * kg/plant 3.37 1.27 2.08 No. of fruit No./plant 28 a 9 b 14 b Average weight g/fruit 132 102 123 Weight/T CA g/cm2 272 128 180 B ROOTSTOCKS unit Supporter 4 M.9 - RN 29 M.9 - NAKB 337 Total production * kg/plant 0.94 2.78 3.00 No. of fruit No./plant 8 b 21 a 21 3 Average weight g/fruit 80 b 129 a 148 a Weight/TCA g/cm2 61 b 241 a 278 a * significant interaction between rootstock and orchard floor management system 40 SOM (%) SOM (%) 4.0 g 3.5 . 3.0 2.5 2.0 ‘ 1.5 i I - e- Mulch +Flame --D-- Sandwich 0.5 ‘ 0.0 4.0 , 3.5 3.0 ' 2.5 1 2.0 1.5 A 1.0 0.5 0.0 F“ _ j— . - l APR/2001 MAY/2002 AUG/2002 DEC/2002 APR/2003 JUL/2003 AUG/2003 NOV/"2003 - 0- Mulch +Flame "Cl-- Sandwich f 7 APR/2001 MAY/2002 AUG/2002 DEC/2002 APR/2003 J UL/2003 AUG/2003 NOV/2003 Figure 1.1. Content of soil organic matter (SOM) in the row position (expressed as % dry weight) by sampling date. A. for 0 — 10 cm depth. B for 0 — 30 cm depth. Each point represents a mean of six samples (:tSE). Analysis of variance was carried out for each date. Values with the same letter are not significantly different for pS0.05 (LSMEANS test). 41 4.0 3.5 - 3.0 _ 2.5 . 2.0 . MID-l 1.5 SOM (%) 1.0 -0' Row --D--Strip +Alley 0.5 — 0.0 w APR/2001 MAY/2002 AUG/2002 DEC/2002 APR/2003 JUL/2003 AUG/2003 NOV/2003 4.0 3.5 . B 3.0 - 2.5 . a a 2.0 ~ SOM (%) 1.5 -- 1.0: 0.5 - 0- Row --1:1-- Strip +Alley 0.0 APR/2001 MAY/2002 AUG/2002 DEC/2002 APR/2003 JUL/2003 AUG/2003 NOV/2003 Figure 1.2. Content of soil organic matter (SOM) in the three positions of Sandwich (expressed as % dry weight) by sampling date. A. for 0 — 10 cm depth. B. for 0 — 30 cm depth. Each point represents a mean of six samples (iSE). Analysis of variance was carried out for each date. Values with the same letter are not significantly different for pS0.0S (LSMEANS test). 42 140 - o- Mulch +Flame --C1-- Sandwich 3 A 120 ’¥ 0 0 100 ' ‘ ' s A a ' g E ,' - ‘3‘ 80 « . ‘ a a I “ Z i a ' o ' | ' n . . o I -' 60 - . i . m o s O o . a z a l b | a 40 ~ 20 J 0 - . . . - . . . ' .., . . . . APR/2001 JUN/2001 AUG/2001 NOV/2001 MAY/2002 AUG/2002 DEC/2002 APR2003 JUN/2003 AUG/2003 NOV/2003 Date 60 - 0- Mulch +Flame "D" Sandwich a . g B 50 ”l o. s a ’ ‘ , 0 a . . a % \ A 40 " “ O ‘0 0; E ' | 0 s o s o u g 0' “ a " ‘s x s o ‘ a Z 30 — . “ {0 ‘o a o. ‘ l t o ‘ 0 ‘ o o s o M a ab “ a ' ‘f 0 O 20 _ r ' ‘ Z ~_. ‘{ '0 b b “ a s o a. -. Q ‘ . a .0 b b E 10 - ~. r; . °°°°° . b b .e... 0". .0. .......... .9 b b .Q. b ." 0 w , y - . - - . - APR/2001 JUN/2001 AUG/2001 NOV/2001 MAY/2002 AUG/2002 DEC/2002 APR2003 JUN/2003 AUG/2003 NOV/2003 Date Figure 1.3. Content of N03'— N in soil for position row (expressed as ppm) by sampling date. A. for 0 — 10 cm depth . B. for 0 - 30 cm depth Each point represents a mean of six samples (:tSE). Analysis of variance was carried out for each date. Values with the same letter are not significantly different for p50.05 (LSMEANS test). 43 l 400 1200 l 000 800 400 ugC02 — C per g of soil 200 600 '1 o mulch A flame D sandwich 1' 50 100 150 200 Days of incubation Figure 1.4. Carbon mineralization. Cumulative 11g C02-C evolved per g of soil during 155 days of laboratory incubation at 25°C and no light for soil from row position of three orchard floor management systems. Samples were collected on April 24th 2003. 44 1400 - I 0-77 days 13 78-155 days 1200 - 1000 . 800 . 600 400 ‘ ugC02 -— C per g of soil 200 4 Mulch Flame Sandwich TREATMENTS Figure 1.5. Mineralized C of soil from rows, after 77 and 155 days of laboratory incubation as affected by orchard floor management system. Samples were collected April 24th 2003. Bars with the same letter are not significantly different for p50.05 (LSMEAN S test). 45 100 0103+NH0—N e". o B 15 ~ 0§ o E '5 10 m - 0 - Mulch 5 +Flame ~-D--Sandwich 0 «0’ (\\<5 «(9’ «9? $9?) chit” 0,6» \Q\\ . ‘)\\°’ (00:) «(l9 g3 0,?) \Q\<\ 2002 2003 Date Figure 1.7 Volumetric soil moisture content (as %) measured with TDR for the average of 0-45 cm depth, on the tree row during years 2002 and 2003. 47 .— N l r——1 pr p—H TCAI (cmz) Mulch Flame Sandwich TREATMENT .— N H—cm or 0" TCAI (cmz) Supporter 4 M.9 RN 29 M.9 NAKB 337 ROOTSTOCK Figure 1.8. Cumulative trunk cross sectional area increase (TCAI) of ‘Pacific Gala’ in cm2 between 2000 and 2003 as affected by: A. orchard floor management systems, and B. rootstocks. Analysis of variance was performed between rootstocks and treatments. Letters indicate significant differences for {230.05 (LSMEANS test). 48 30 C1 Supporter 4 I M.9 RN 29 25 ' IM.9 NAKB 337 Fruit set (%) Mulch Flame Sandwich TREATMENTS Figure 1.9. Fruit set of ‘Pacific Gala’ grafted on three different rootstocks and under different orchard floor management systems for year 2003. It shows significant interaction between orchard floor management systems and rootstocks. 49 Cl Supporter 4 l M.9 RN 29 I M.9 NAKB 337 Mulch Flame Sandwich TREATMENTS Figure 1.10 First harvest. Fruit production in kg/plant of ‘Pacific Gala’ by rootstock and for the three treatments. Each bar is average of 12 trees. Year 2003. It shows significant interaction between orchard floor management systems and rootstocks. 50 CHAPTER 2 51 CHAPTER 2 EFFECT OF DIFFERENT GROUND FLOOR MANAGEMENT SYSTEMS FOR ORGANIC APPLE PRODUCTION ON NITROGEN CYCLING AND TREE PERFORMANCE Abstract Genetic and environmental conditions determine performance of trees. This study was conducted to evaluate the potential of dwarf and semi-dwarf rootstocks to compete for resources under different orchard floor management systems that comply with organic production regulations. Apple trees of ‘Buckeye Gala’ grafted on M.9 NAKB 337 and Supporter 4 were planted in 0.6m3 wooden boxes. A system was designed to collect total leachate for its analysis. Orchard floor treatments evaluated were: alfalfa hay mulch, propane flame burner, Swiss Sandwich system (a combination of resident vegetation and tilled strips), and partial or total soil cover with a mix of red clover and rye grass. These systems were compared from 2001 to 2003 in regard to their impact on soil, leachate, and tree performance. Mulch had highest leachate volume with higher total N content more than ten times that of the other treatments. Flame had the least increase in volume of leachate indicating lower water infiltration rates than the treatments with some type of soil cover. ‘Buckeye Gala’ on Supporter 4 was more vigorous with a trunk cross sectional area increase over 40% higher than on M.9 NAKB 337. Conversely trees on M.9 NAKB 337 were more precocious. The significant interaction between orchard floor management system and rootstock indicates the potential of compensating stressing conditions, within a certain range, with a more vigorous rootstock. 52 INTRODUCTION Orchard floor management practices aim at improving natural processes which will enhance crop health, productivity and environmental quality (Landis et al., 2002). This is achieved through conserving and boosting beneficial chemical, physical and biological properties of the soil, thus providing an appropriate environment for tree growth. Organic matter is part of the foundation for a healthy and productive soil (Magdoff and van Es, 2000). It feeds soil life and contains large quantities of plant nutrients, acting as a slow-release nutrient storehouse, specially for N (Brady and Weil, 2002). In fruit growing one of the main challenges is to manage the N supply for trees. and under organic production the accent for this should be on building organic matter rather than on fast mineralization (Bloksma, 2000). The N transformation processes that take place in the soil and their timing will vary greatly according to the practices followed to maintain or increase the organic matter and soil’s quality. Concerns about N as a pollutant have been growing in the last decades. Contamination of surface water as well as deep water resources through the leaching of N from fertilizers used on agricultural land is a potential hazard that needs to be addressed not only by efficient practices but also by an increased understanding of N cycling. In organic production, the use of chemical fertilizers, which are in general, highly soluble and readily available, is prohibited. The use of organic forms might seem less risky, but problems of potential N loss to the environment are not completely eliminated in organic systems. The N release from different organic sources varies with the quantity and quality of the material used and the soil environment (Myers et al., 1997; 53 Wardle and Lavelle, 1997; Magdoff and van Es, 2000; Brady and Weil, 2002). Synchronizing the N availability with the plant’s demand is highly important for higher efficiency and lower probabilities of leaching. Proper selection and management of the sources will have an important effect on N availability. Another factor that affects N availability, in the case of fruit trees, is competition from understorey vegetation growing in the same area. In organic fi'uit production, as for all organic systems, the need for more sustainable approaches of weed management compatible with the organic protocols has been identified as a major constraint (Sooby, 1999). Thus, efforts have been put into the development of alternative orchard floor management systems (Weibel, 2002). The soil cover can attain a critical role in the N dynamics and is increasingly important in the organic approach. Research has been done to determine the adaptability of rootstocks to various soil types and conditions (F erree and Carlson, 1987). While differences among some rootstocks in regard to water utilization have been measured (Carlson, 1967) we are still missing information on the response of many clones. Nutrient uptake can also be affected by rootstocks however, in the case of nitrogen and phosphorous Kennedy et al. (1980) reported they were more influenced by environmental factors than by rootstock genotype. The strong relationship between the genetic and environmental conditions in determining the root system will have an effect on mineral nutrition of the tree and its performance. We hypothesized that rootstocks of different vigor will have diverse ability to compete and compensate at a higher level of nutrient and/or water stress. Through various soil covers and understorey management the timing and amount of N and water available can be changed and their consumption will be different according to the 54 rootstock. The overall objectives of this work were to: 1) assess the effects of orchard floor management systems on N availability and potential leaching; 2) evaluate performance of dwarf and semi-dwarf rootstocks in their ability to compete for resources; 3) determine the impact of rootstocks and orchard floor management systems on nutrient and water relations. MATERIALS AND METHODS Site description The experiment was conducted at the Clarksville Horticultural Experiment Station of Michigan State University in the vicinity of Clarksville, MI (latitude of 42° 84’ N and longitude of 84° 24’ W). The orchard has a total surface of 2.5 ha and is being certified by the Organic Crop Improvement Association (OCIA). Daily temperatures and precipitation during the whole experiment were recorded with an automated weather station of the Michigan Automated Weather Network, located approximately 560 m west of the orchard (Figure A.2 thru A.4 , Appendix A) Wooden boxes of 1 m x 1.2 m and 0.5 m high were used for planting. The boxes rested on the soil surface and they were arranged in two rows at the orchard with plants at 1.4 m x 8 m spacing. 55 Plant material One-year-old “Buckeye Gala” apple trees (Malus x domestica Borkh.) were planted in April 2001 in the boxes that had been previously lined with plastic and filled with soil. The soil used was homogeneous, taken from the orchard site being A horizon of Kalamazoo sandy clay loam (53.1% sand, 23.1% silt, and 23.8% clay). Plant residues present were eliminated. One-half of the trees were grafted on M.9 NAKB 337 which has the vigor of a weak M.9 growing to 40% of the size of a seedling, and the remaining trees were grown on Supporter 4, which is a cross of M.9 x M.4, a more vigorous rootstock than M.9, with a size comparable to M.26 (Childers, 1972; Marini, 2000; Robinson, 2003). Trees had similar caliper within each rootstock at planting time. A trellis system with two wires was installed and galvanized metal poles were used for support of each tree. Plants were trained to a Vertical Axe with the use of rubber bands and clothes pins to bend branches (Perry, 2000a). Minimal pruning was necessary, mainly to single out the leaders or main branches. Orchard floor management Five different orchard floor management systems were established among boxes in spring of 2001 at planting time: 1. Mulch (MU): The whole area of the box (1.2 m2) was covered with a mulch of alfalfa hay. During the growing season the thickness of the cover was over 15 cm to provide a shading effect that would suppress weeds, and maintain moisture. Mulch was hand- applied in spring and fall. 56 2. Flaming (FL): The entire area of the box (1.2 m2) was kept free of vegetation through the use of a propane flame burner hand torch that provided 150.000 BTU. Minimal amounts of water were applied just behind the burner to reduce the risk of heat affecting tree branches or fire spreading to the neighboring mulch. Flame treatments were applied when weed height approached 10 cm, 4 to 7 times according to season (Table B.1.A, Appendix B). This was considered the control treatment. 3. Sandwich System (SS): an adaptation of the Swiss Sandwich system (Weibel, 2002), consisted of a central strip that spread 20 cm to each side of the tree row in which volunteer vegetation was allowed to grow. A 40 cm wide strip was tilled on each sideof that vegetated central strip. The tilling was performed with a hand hoe to a depth of 7 cm. In the vegetated central strip, hand weeding was performed selectively to prevent development of curly dock (Rumex crispus L.), common lambsquarters (Chenopodium album L.), redroot pi gweed (Amaranthus retroflexus L.) and thistles (Cirsr'um sp.). In the lateral tilled strips, bell beans (Viciafava) were sown (45 kg.ha'l in 2001 and 130 kg.ha’1 in 2002) in the fall as a green manure. Tilling started in spring, and was repeated when weeds got 10 cm tall (4 to 6 times according to season, Table 3.1.3, Appendix B). 4. Partial Cover (PC). Just after the planting of trees a mixture of red mammoth clover and endophytic rye was sewn. The cover was allowed to grow in a central strip that spread 20 cm to each side of the tree trunk. The remaining area on each side (40 cm wide strip), was tilled at the same time as SS. 5. Total Cover (TC). As in the previous treatment, a mixture of red mammoth clover and endophytic rye was sewn just after planting the trees. In this case, the mixture was allowed to grow in the whole area of the box. 57 Irrigation system Drip irrigation was installed in May 2001. The lines were suspended from the lowest wire of the trellis system at a height of 0.3 m to prevent potential damage to them when controlling weeds. Drippers of 3.8 L/h supplied water to the five soil management treatments with the goal of maintaining available soil water over 50% (Figure 31 thru 33., Appendix B). Tree growth gnd productivity measurements Trunk cross sectional area was calculated from the diameter of the trunk measured at 25 cm above the graft union. These measurements were taken at the end of each growing season. Branch growth was measured on five branches chosen at the beginning of the spring. The first four were selected to represent the bottom, middle, and lower-top parts of the tree, and the fifth branch was the leader. Branches sampled in each position were similar in size at the beginning of the measuring period and had a similar angle of insertion to the trunk. Branch length was measured weekly between June and August. In 2002 at the end of the season all growing branches were measured in all trees. Number of flower clusters in the whole tree was counted before full bloom each year, and total number of fruits as well as weight was measured per tree for the first harvest in 2003. In March — April 2001 and 2002 there was little pruning needed. The branches cut during the following season (2003) were weighed as a complementary measure to estimate growth and vigor of trees. 58 At the end of each season the total height of the tree as well as two orthogonal diameters of the canopy at 0.5 m were measured and used to estimate the canopy volume. In 2002 and 2003 the total growth in length of the tree was measured by adding the individual length of each branch of that year or the amount it had grown. Nutritional status A sample of 20 leaves per tree was taken in early August of each year from the middle portion of one-year-old branches. Leaves were rinsed with distilled water, dried for 48 h at 60 ° C and analyzed for mineral composition. Relative chlorophyll content was measured using a SPAD-502 meter (Spectrum Technologies Inc, Plainfield IL). This measurement was taken on the same leaves sampled for mineral composition. In 2003, between June and September, variations in leaf chlorophyll abundance were followed through six measurements. Leachate collection To analyze the potential leaching of the different treatments, the wooden boxes were lined with a plastic film before filling them with soil. In the bottom, a hole was made and a funnel installed, sealing all the unions, so that leachate could be collected (Figure 2.1). This water drained through a short pipe into a jug that was in a 20 liter bucket put below the bottom level of the wooden box. Regularly, and according to the water regime, the jugs were emptied, the volume of leachate measured, and a sample taken to analyze N content. The bucket lid and pipe were painted to diminish light 59 penetration that would allow algae growth. As a preventive strategy, once a year the jugs were rinsed with alcohol. Soil sampling_and measurements Soil was sampled individually for each box, three times in 2001 and 2002 and four in 2003, by mixing 3 cores taken for the 0-30 cm depth. Samples were stored in plastic bags at 4°C for less than a month until analysis. Soil moisture was measured by time domain reflectometry (TDR) using a Mini Trase 6050X3 (Soilrnoisture Equipment Corp., Goleta, CA) with 30 and 45 cm long stainless steel rods permanently installed in the boxes in the tree rows. Inorganic N (N03‘ and NH4+) was determined by the MSU Soil and Plant Nutrient Laboratory following the procedure described by (Kenney and Nelson, 1982) using a Lachat automated colorimetric analyzer (Lachat Instruments Inc. Milwaukee, WI). Organic matter concentration was measured by loss on ignition of 3g of dry soil at 400°C for 8 hours using a muffle fumace. Carbon and N mineralization potentials were obtained through laboratory incubation (see Chapter 1 for detailed methodology). Experimental desigp and statistical analysis The experiment was set as a completely randomized design with eight replicates of the five orchard floor management systems. The plots consisted of 1 tree planted on a wooden box.. Orchard floor management system treatments and rootstocks were randomly assigned. Additional boxes of two of the treatments, SS and TC, were installed without trees. 60 Analysis of variance was performed using MIXED procedure with SAS (Version 8, SAS Institute, Cary, NC, USA) to detect treatment effects. After using ANOVA to identify treatment effects, least squares means were compared using the Tukey-Kramer test with p_<_0.05 unless stated otherwise. RESULTS Soil parameters Soil Organic Mm No significant differences were found for the SOM content among the treatments except for the last sampling date (Figure 2.2). In November 2003 SOM in Mulch (MU) was not significantly different from Total Cover (TC) and Partial Cover (PC) but was significantly higher than Flaming (FL) and Sandwich (SS). No interaction was found between treatment and rootstock for this variable. In the case of SS no significant differences were found between the row and strip content of organic matter (Table 2.1). Nitrogen in soil The effect of alfalfa hay application (Table 8.2 and 33, Appendix B) on the content of nitrate in soil was measurable throughout the experiment (Figure 2.3). The MU had a higher content at all times, approaching on different dates as much as a ten-fold increase compared with the rest. The SS started with higher nitrate content in soil than TC and PC, but from November 2001 on, differences were only slight. For SS, the row tended to lower values of nitrate in soil than the strip (Table 2.2) although significant differences were measured only in August 2002 and April 2003. The rootstocks averaged 61 for all treatments did not generate significant changes in the values of N in soil (data not shown). There was a clear seasonal pattern of the N forms in soil. The content of N03'—N in soil decreased towards the end of the season (November sampling) when NHf—N became a higher portion of the available N in soil (Figure 2.4). Soil water content The soil moisture measured to a depth of 45 cm had significant differences between treatments at certain dates (Figure 2.5 and Figure 2.6). Soil moisture content was highest for MU than other treatments. It was closely followed by FL in 2002. During some short periods SS, PC, and TC had slightly lower content. Leachate The orchard floor management systems had an effect on the volume of leachate collected from boxes with apple tree in two of three years (Figure 2.7) and impacted the N concentration similarly. The highest volume came from MU for 2001 and 2003. In 2001 MU was followed by FL and SS with approximately 35% less volume and finally PC and TC which had an average of 54% less volume leached. In 2003 except for MU which was the highest, there were no differences among the rest of the treatments. From 2001 to 2003, FL had a volume increase of 32 %, while SS almost doubled that increase (59 %), and PC as well as TC increased the leachate in a much higher percentage (118 and 154 % respectively) going from values significantly lower than the first two treatments, to slightly higher ones, even though not statistically different. The N03'—N concentration in leachate of 2001 had values that overall, were higher than in 2002 and 2003. During the 3 years, MU had the highest values for concentration of NO3'—N in the leachate for both rootstocks (Table 2.3). Rootstocks had a limited influence on N concentration with no significant differences among them. The impact of the orchard floor management systems reached the total amount of N, calculated from volume and concentration of each sample, with MU far above the other treatments (Figure 2.8). The maximum difference was in 2003 when MU had a content in leachate of N03'—N for the total year, 80 times that of SS. In general, and for all treatments, the amounts were higher for 2001 and diminished in the following years. Tree parameters Trunk size Soil management treatments as well as rootstocks bad influence on the tree growth measured as trunk cross sectional area increase (TCAI) (Figure 2.9). The growth under TC was the lowest and under MU it was the highest although not significantly different from FL in the case of Supporter 4. This explains the significant interaction treatment by rootstock. At the highest TCAI values, the difference for MU between the two rootstocks was not a significant value, showing a different behavior than for FL, SS and PC, in all of which Supporter 4 had a higher TCAI than M.9 NAKB 337. In the case of TC, at the lower extreme of values, there was no significant difference between Supporter 4 and M.9 NAKB 337, the same as MU just mentioned above. 63 Branch growth In 2002 and 2003 the orchard floor management systems gave significant differences for total branch growth as well as number of branches (Figure 2.10). The highest growth and number was for MU. Then followed FL, SS, and PC, which generally did not differ significantly between them, and lastly was TC with significantly lower branch grth and number of branches. Supporter 4 was found to be more vigorous in branch growth than M.9 NAKB 337. Tree size Orchard floor management systems and rootstock had influence on tree volume generating significant differences in 2002 as well as 2003. The final tree size in 2003 of MU was greatest but not significantly different from FL and SS, while TC had the smallest trees (Figure 2.11). Number of flower 01% Orchard floor management had no effect on count of flower clusters in 2001 but did impact significantly in 2002 and 2003 (Table 2.4). The treatment effect was stronger in the last season when MU had maximum number of flowers, followed by FL and SS, and finally with lower values PC and TC. Rootstock had a significant impact on number of flower clusters as well. Supporter 4 was below the flowering potential showed by M.9 NAKB 337. 64 Nutritional status The different systems of orchard floor management impacted the level of nutrients. The foliar N content in 2001 was slightly under the recommended range (Hanson, 1996) and in good stand for 2002 (Table 2.5). No significant differences were found between treatments during those two years. In 2003 while the value for MU increased slightly (2.32 %) for the other treatments it diminished generating significant differences. The treatment MU had lower values of P than the other soil management systems (Table 2.6). This behavior was similar for Ca and Mg with a trend to increase content as years passed (Table B.4, Appendix B). In the case of K the impact was opposite to what was found in the previous nutrients, having MU the highest values. For K as well, all treatments showed a trend to increase content with years. Soil management had no effect on some micronutrients like in the case of Fe, Al, and B (Table B.4, Appendix B). For Zn higher levels were found in PC, TC and SS, while in the case of Mn the opposite occurred with MU and FL having higher content (Table 2.6). DISCUSSION Soil pmeters Generally, changes in soil organic matter (SOM) are slow, over time, as influenced by different soil management practices (Diaz Rossello, 1992; Paul et al., 65 2001). The effects will even take longer when the whole A horizon up to a depth of 30 cm is studied, which generates almost a dilution effect (see Chapter 1). Also we must consider that during the filling process of the boxes soil mixing occurred and natural macroporosity was affected. Nevertheless, we started finding differences after the period of 3 years in the last soil sampling. The effect of the addition of large amounts of alfalfa hay straw increased, as it would be expected the SOM content (Merwin et al., 1994; Sanchez et al., 2003). On the contrary the continuous burning of the understorey without giving it much opportunity of developing green biomass in the FL lead to a lower content of SOM. The addition of a vegetated strip and tillage in the SS still has SOM values lower than MU. In the case of PC and TC with an intermediate value it seems as if the active growth of the cover with a dense root system of the species involved (red mammoth clover and endophytic rye) could have been the cause of slightly higher values. Filling of the boxes generated a disruption of the soil with an enhancement of mineralization (Magdoff and van Es, 2000; Brady and Weil, 2002) that could be seen through the values of N03'—N in soil (Figure 2.3) which were high for all treatments. Levels were still high in August 2001. But those values were quickly changed by effect of the different soil management systems imposed. The trees increased the N uptake as they developed their root system. The rye grass and clover cover in TC and PC started actively absorbing the readily available N that was present in the soil solution. The development of the understorey in the SS composed of the resident vegetation was slower and less dense, while for FL it was almost null, and absent in MU (See Chapter 4). This gradient of soil surface coverage by an actively absorbing live cover is reflected in a comparable gradient of N content in soil inversely proportional to coverage. In 2003 66 differences persisted only between MU and the rest of the treatments. The ability of the contained system to supply the required N diminished, except in the case of the MU where the alfalfa hay provided a continuous source for N. The presence of legumes fixing N as well as an increased biomass produced by the understorey in PC and TC over that of SS, likely explained the higher NO3'—N values. The comparison of strip and row positions for the SS showed a slight tendency to higher values for the strip (Table 2.2). It is reasonable to expect a lower N content in the row where there is a denser root system of trees and vegetative cover competing to uptake nutrients. At the same time there is abundant information about the increase of mineralization due to tilling (Stevenson and Cole, 1999; Brady and Weil, 2002), so enhanced levels in the tilled strip could be expected. Research conducted under similar conditions of tilling showed that when the soil was loosened, its average mineral N content in the 0-30 cm layer was enhanced only slightly in two successive years (Steinmann, 2002) coinciding with what was found in this research. The treatments showed differences in water availability. Even though we attempted to provide a differential amount of water to achieve comparable water moisture levels across treatments, this was hard to do under the experiment’s conditions. The fast consumption of water in the profile during days of high demand and the relatively limited soil volume made it necessary to use short and frequent irrigation applications. The characteristics of the mulch treatment helped to provide a more stable and efficient water supply to the tree as seen in other reports and reviews (Hogue and Neilsen, 1987; Merwin et al., 1994). In the case of FL which was the closest to MU in water content, soil moisture surface evaporation accounted for more loss in FL than MU. Soil moisture 67 content was lowest for TC and PC, in which, levels that could have restricted plant development were reached during short periods (Kenworthy, 1949; Cripps, 1971). Neither SS nor F L showed important differences with PC or TC and could also have gone through short periods of drought stress. While understorey consumption and general evaporation could explain the lower moisture content in SS, for FL it could be due to what we understand was the reduction in infiltration of the soil surface, higher temperatures and an increase in evaporation due to the exposed soil surface (Hogue and Neilsen, 1987; Glenn and Welker, 1989; Merwin et al., 1996). One of the primary effects of the mulch besides conserving soil moisture was on N availability. The alfalfa hay used as source for the mulch had a high N content and thus a low C/N ratio (Table 8.2 and B3, Appendix B). The estimations considering the addition of an amount of 30 Tn/ha of dry weight add approximately to 650 kg N/ha if we use an estimate of 2.18% N in the hay. These are very high quantities to be added every year, and generate a potential environmental problem as seen ahead when discussing the leachate results. An initial strategy was to limit the application of hay to spring or fall for short term N availability (Hu et al., 1997). However the initial addition of mulch in June 2001 did not generate a significant difference of N03'—N in soil, probably because of the already high level of N due to the active mineralization caused by soil disruption. The N content in the hay itself reduced after the first month of application and then stabilized following episodes of rainfall and soil microbial utilization. This is reflected in a C/N ratio that gets smaller with time (Table B.3, Appendix B) due to a loss of C as CO2 which 68 is liberated through microbial respiration while the N is recycled in the microbial biomass (Brady and Wei], 2002). Leachate The higher volume collected from MU coincides with studies that show that a mulch cover of straw increases infiltration (Hogue and Neilsen, 1987). At the same time the insulating capacity of the mulch cover reducing evaporation and preventing water consumption other than by the trees, kept the soil moisture at higher levels. This reduced the amount of water needed to saturate the soil profile before leaching would start. For FL, as it was mentioned earlier, the development of a crust that slowed down infiltration was clear. Behavior of the bare soil under flaming applications decreased soil water infiltration rates which was similarly found with use of continuous herbicides (Glenn and Welker, 1989). Yearly increase of the leachate volumes could be explained by the improvement of soil macroporosity caused by the extension of roots of the vegetative cover (Brady and Weil, 2002). The change in precipitation can not be considered the reason of this increase since, on the contrary its total volume was less in 2003 than 2001 and distribution during the year did not vary greatly (Figure B.1 thru B.3, Appendix B). The relative increase between years was different for each treatment. Mulch had the smallest increase in the first year which would be due to the already mentioned capacity of the mulch to increase infiltration and reduce evaporation, and thus, masking part of the increase of infiltration due to macroporosity development. Flame on the contrary was the only treatment that on the second year had a reduction of the volumes leached as a consequence of the 69 superficial crust formed that obviously reduced water infiltration. The treatments with a vegetation cover were those that increased infiltration the most, as found in other studies (Zoppolo and Pieroni, 1985). The N03'—N concentration in the leachate reflected the same variation of content in soil which was previously discussed. In 2003, the values diminished for all treatments, but the concentration for MU was 20 times greater than the average for the other orchard floor management systems. During every year there was a common maximum peak of NO3'—N between the end of October and the middle of November. The N03.—-N content in soil at the end of the year was very low and NHX—N turned into an important proportion of the available N. These values confirmed the high leaching potential of N03" and the higher activity of ammonifiers at lower temperatures giving a seasonal pattern (Donahue et al., 1971). Similar results for variation in the N forms during the season were obtained for the field experiment (Chapter 1). Trees in the MU treatment had the maximum benefit of high leachate volume, which possessed high concentrations of N. The continuous decomposition of alfalfa hay was clearly the source of all the N. The N content of this hay was very high with a C/N ratio around 15. This gave ideal conditions to the microorganisms to decompose this material and through a high mineralization generate a net liberation of N into the soil. Clearly, for each case, the material used for mulching could be adjusted according to the needs of the orchard, which gives an additional tool in managing the nutrient cycling. The contained condition with a shallower profile for root development clearly differs from what would be field conditions. The values obtained of N in leachate 70 shouldn’t be extrapolated to field conditions but used as an indicator of the relative potential of leaching that each orchard floor management system has. Tree performapcp As expected, Supporter 4 gave more vigorous trees than M.9 NAKB 337 (Marini, 2000; Perry, 2000b). No significant differences were found for the TCA of Supporter 4 between MU, FL, and SS treatments. Conversely, for M.9 NAKB 337 there were significant differences between MU and SS as well as FL (in this case for pSOJO). The fact that performance of these rootstocks did not differ when comparing FL and SS, has important management implications. Considering FL as our control (comparable to weed suppression by herbicide in a conventional system) we can state that trees under SS had an acceptable performance in relation to growth. The significant interaction rootstock by treatment tells us of a different variation in the response of each rootstock when comparing treatments. The difference between TCA of the rootstocks reached the maximum value under SS where during the 3 years the percentage of Supporter 4 over M.9 NAKB 337 got to an average of 33 %. This was followed by FL (25 %) and PC (17 %) and finally by MU and TC in which the difference of TCA between the two rootstocks was 13 % and 12 % respectively. It seems as if in the case of MU the rootstock M.9 NAKB 337 had no constraint and achieved maximum growth. When limiting conditions were not extreme, Supporter 4 seems to have been able to overcome better the restrictions and achieve a higher portion of its potential growth. But when conditions turned extremely competitive in TC, not even Supporter 4 could overcome them and returned to the level of 12 % thicker trunk than M.9 NAKB 337. 71 Research conducted by (Parker, 1990) showed as well that growth response of even a vigorous rootstock like MM.111 was restricted by an increased competition due to smaller vegetation-free-area or a more aggressive grass. Considering strictly water availability (Fernandez, 1992) demonstrated how rootstocks with diverse vigor have different response and capability to overcome water stress soil conditions. From the analysis of the cumulative TCAI, branch growth, and canopy volume we reach similar conclusions as with TCA where the difference between rootstocks under MU and TC was not significant or much smaller than under the other treatments in which Supporter 4 was able to grow better than M.9 NAKB 337. Flower density was greatest for MU in 2003, a reflection perhaps of increased canopy volume. There was no difference in flowering between FL and SS. The N content in leaves indicated that levels were in general at adequate values or slightly under for Michigan (Hanson, 1996). The difference due to the continuous supply of N given by the alfalfa hay mulch was clearly measured in 2003. Probably at this time the amount of N in the system for the other treatments which had no or very low N amendment had started to be limiting. The N content in leaves for 2003 was slightly lower than in 2002 for all treatments except MU and reached values under the recommended range (Hanson, 1996). The challenge will increase as trees mature and demands accelerate in the future. In regard to the nutritional status, the increase of K levels under MU treatment followed the trend stated in other reports (Wander and Gourley, 1943; Merwin and Stiles, 1994), while the lower levels for P under MU seem to contradict what has been found by other researchers (Wander and Gourley, 1943; Hogue and Neilsen, 1987). This could 72 . /—_... result from a dilution effect due to the higher growth under MU and a lower rootzshoot ratio (see Chapter 3), and not necessarily from a reduction in P availability in the soil under the alfalfa hay. CONCLUSIONS The effect of orchard floor management systems on SOM and NO3'—N was limited except for a clear increase of available N due to the alfalfa hay applied in Mulch. This was confirmed by the N03-—N concentration in the leachate, which increased more than 10 fold for Mulch compared to the other treatments, as well as by the total content of NO3'—N. The alfalfa hay proved to be a sufficient source of N and its supply could even exceed the systems requirements or be lost through leaching. Total volume of annual leachate was highest for Mulch during the whole experiment. Water infiltration rates varied according to orchard floor management systems. During the three year experiment a higher increase in infiltration occurred for Total Cover and Partial Cover than for Sandwich and Mulch, and least for Flame. These results confirm the importance of a soil cover in improving infiltration rates compared with bare soil, and the impact that a vegetative cover can have on the quantity and quality of leachate according to its coverage and composition. ‘Buckeye Gala’ grafted on Supporter 4 was more vigorous than on M.9 NAKB337. Conversely trees on M.9 NAKB 337 were more precocious than those on Supporter 4. 73 Orchard floor management systems also impacted tree growth. Vigor was greatest on Mulch and weakest on Total Cover, with some exceptions. There was a significant interaction between orchard floor management treatment and rootstock for trunk cross sectional area as well as for canopy volume values. Supporter 4 had a proportionally enhanced response under Flame, Sandwich, and Partial Cover than the response of M.9 NAKB337. Conversely under Mulch and Total Cover there was a lower differential between the two rootstocks. This trend was consistent for most of the parameters measured. This indicates the potential of compensating stressing conditions, within a certain range, with a more vigorous rootstock. 74 LITERATURE CITED Bloksma, J. (2000). Soil management in organic fruit growing. Conference 'Organic fruit opportunities and challenges', Ashford, Great Britain. Brady, N. C. and R. R. Weil (2002). The nature and properties of soils. Upper Saddle River, NJ, Prentice Hall. 960 p. Carlson, R. F. (1967). Growth response of several rootstocks to soil water. HortScience 2(3): 108-110. Childers, N. F. (1972). Modern fruit science. Somerville, NJ, Somerset Press, Inc. 912 p. Cripps, J. E. L. (1971). The influence of soil moisture in apple root growth and root : shoot ratios. HortScience 46: 121-130. Diaz Rossello, R. (1992). Evolucién de la materia organica en rotaciones de cultivos con pasturas. Revista IN IA Investigaciones Agronomicas, Uruguay 1(1): 103-110. Donahue, R. L., J. C. Shickluna and L. S. Robertson (1971). Soils, an introduction to soils and plant growth. Englewood Cliffs, NJ, Prentice-Hall, Inc. 587 p. Fernandez, R. T. (1992). Mechanisms of drought tolerance in apple as influenced by rootstock. Horticulture. East Lansing, Michigan State University: 141. Ferree, D. C. and R. F. Carlson (1987). Apple rootstocks. In: 'Rootstocks for fruit production'. R. C. Rom and R. F. Carlson. John Wiley & Sons, Inc. New York. pp: 107-143. Glenn, D. M. and W. V. Welker (1989). Orchard soil management systems influence rainfall infiltration. J. Amer. Soc. Hort. Sci. 114(1): 10-14. Hanson, E. J. (1996). Fertilizing fi'uit crops, E-852. Michigan State University, East Lansing, MI. 20 p. Hogue, E. J. and G. H. Neilsen (1987). Orchard floor vegetation management. Horticultural reviews 9: 377-430. Hu, 8., N. J. Grunwald, A. H. C. van Bruggen, G. R. Gamble, L. E. Drinkwater, C. Sherman and M. W. Demment (1997). Short-term effects of cover crop incorporation on soil carbon pools and nitrogen availability. Soil Sci. Soc. Am. J. 61: 901-911. 75 Kenney, D. R. and D. W. Nelson (1982). Nitrogen -- Inorganic Forms. In: 'Methods of Soil Analysis. Part 2. Chemical and Microbiological Properties'. D. R. Kenney. American Society of Agronomy and Soil Science Society of America. Madison, WI. pp: 643-698. Kenworthy, A. L. (1949). Soil moisture and growth of apple trees. American Society for Horticultural Science 54: 29-39. Landis, J. N., J. E. Sanchez, G. W. Bird, C. E. Edson, R. Isaacs, R. H. Lehnert, A. M. C. Schilder and S. M. Swinton (2002). Fruit crop ecology and management. East Lansing, Michigan State University. 102 p. Magdoff, F. and H. M. van Es (2000). Building soils for better crops. Washington DC, J arboe Printing. 230 p. Marini, R. P., J .L. Anderson, B.H. Barritt, G.R. Brown, J. Cline, W.P. Cowgill Jr., P.A. Domoto, D.C. Ferree, J. Garner, G.M. Greene, C. Hampson, P. Hirst, M.M. Kushad, E. Mielke, C.A. Mullins, M. Parker, R.L.Perry, J .P. Prive, T. Robinson, C.R. Rom, T. Roper, J .R. Schupp, E. Stover, R. Unrath. (2000). Performance of 'Gala' apple on 18 dwarf rootstocks; A five year summary of the 1994 NC-140 Semi-dwarf rootstock trial. J. of the American Pomological Society 54(2): 92- 107. Merwin, I. A., J. A. Ray, T. S. Steenhuis and J. Boll (1996). Groundcover management systems influence fungicide and nitrate-N concentration in leachate and runoff from a New York apple orchard. J. Amer. Soc. Hort. Sci. 121(2): 249-257. Merwin, I. A. and W. C. Stiles (1994). Orchard groundcover management impacts on apple tree growth and yield, and nutrient availability and uptake. J. Amer. Soc. Hort. Sci. 119(2): 209-215. Merwin, I. A., W. C. Stiles and II. M. van Es (1994). Orchard groundcover management impacts on soil physical properties. J. Amer. Soc. Hort. Sci. 119(2): 216-222. Myers, R. J. K., M. van Noordwijk and P. Vityakon (1997). Synchrony of nutrient release and plant demand: plant litter quality, soil environment and farmer management options. In: 'Driven by nature'. G. Cadisch and K. E. Giller. CAB International Publishing. New York. pp: 215-229. Parker, M. L. (1990). The response of fi'uit trees to orchard floor management. Horticulture. East Lansing, Michigan State University: 136. Paul, E. A., S. J. Morris and S. Bohm (2001). The determination of soil C pool sizes and turnover rates: biophysical fractionation and tracers. In: 'Assessment methods for soil carbon'. R. Lal, J. M. Kimble, R. F. Follett and B. A. Stewart. CRC Press LLC. Boca Raton. pp: 193-206. 76 Perry, R. (2000a). The keys to maintaining productive Vertical Axe trees. The Fruit Growers News 39(5): 21. Perry, R. (2000b). Planting fruit trees in 2000. Crop Advisory Team Alert 15(1): 2-4. Robinson, T. L. (2003). Rootstock as a key component to high density orchards. Conference 'Orchard systems workshop', Geneva, NY. Int. Dwarf Fruit Tree Assoc. Sanchez, J. E., C. E. Edson, G. W. Bird, M. E. Whalon, R. R. Harwood, K. Kizilkaya, J. E. Nugent, W. Klein, A. Middleton, T. L. Loudon, D. R. Mutch and J. Scrimger (2003). Orchard floor and nitrogen management influences soil and water quality and tart cherry yields. J. Amer. Soc. Hort. Sci. 128(2): 277-284. Sooby, J. (1999). Meeting the Research Needs of Organic Farmers. http://www.ofrf.org/research/needs.htrnl. May 18, 2004. Steinmann, H. H. (2002). Impact of harrowing on the nitrogen dynamics of plants and soil. Soil and Tillage Research 65(1): 53-59. Stevenson, F. J. and M. A. Cole (1999). Cycles of soil - Carbon, nitrogen, phosphorus, sulftrr, micronutrients. New York, John Wiley & Sons, Inc. p. Wander, I. W. and J. H. Gourley (1943). Effect of heavy mulch in an apple orchard upon several soil constituents and the mineral content of foliage and fruit. Proceedings of the American Society for Horticultural Science 42: 1-6. Wardle, D. A. and P. Lavelle (1997). Linkages between soil biota, plant litter quality and decomposition. In: 'Driven by nature'. G. Cadisch and K. E. Giller. CAB International Publishing. New York. pp: 107-124. Weibel, F. P. (2002). Soil management and in-row weed control in organic apple production. The Compact Fruit Tree: 118-121. Zoppolo, R. J. and J. L. Pieroni (1985). Efectos de diferentes sistemas de manejo de suelo sobre el regimen hfdrico y la produccion de un monte de manzanos bajo riego y en secano. Orientacién Granjera. Montevideo, Uruguay, Universidad de la Repr’rblica, Facultad de Agronomia: 133 p. 77 Table 2.1. Content of organic matter in soil (%) for 0-30 cm depth for two positions in SS treatment (n=16). Analysis of variance was carried out for each date and no significant differences were found for p50.05 (Tukey’s adjusted). Date Row Strip MAY/2002 1 .87 1.96 AUG/2002 1 .84 1.85 APR/2003 1.30 1.33 JUN /2003 1.98 1.90 AUG/2003 1 .99 1 .93 NOV/2003 1.78 1.76 Table 2.2. Nitrogen content in soil (ppm of N03'—N ) in 0-30 cm depth for the two positions of SS of boxes with trees (n=16). Analysis of variance was carried out for each date. Values followed by different letters in the same row are significantly different for pS0.0S (Tukey’s adjusted). Date Row Strip JUN/2001 56.01 56.01 AUG/2001 32.33 - NOV/2001 3.29 1.30 MAY/2002 8.89 8.95 AUG/2002 4.45 b 8.00 a APR/2003 30.42 b 39.45 a JUN/2003 2.62 5.35 AUG/2003 1 .55 2.70 NOV/2003 2.31 2.37 78 Table 2.3. Average N concentration (mg N03'—N L”) for the whole year in the leachate collected from boxes under each soil management system and with trees grafted on rootstock: A. Supporter 4, and B. M.9 NAKB 337. (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Analysis of variance was carried out for each year. Values in the same row followed by the same letter are not significantly different for p50.05 (Tukey’s adjusted). A Supporter 4 MU FL SS PC TC 2001 105 a 73 be 95 ab 35 cd 15 d 2002 99 a 6 b 7 b 3 b 7 b 2003 30a 1 b 1 b 2 b 2 b B M.9 NAKB 337 MU FL SS PC TC 2001 80 a 47 bc 58 ab 38 cd 22 d 2002 79 a 10 b 3 b 3 b 6 b 2003 44 a 1 b 0 b 3 b 5 b Table 2.4. Number of flower clusters at time of full bloom for two rootstocks and by orchard floor management system (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). A. May 2002 B. May 2003. Results of analysis of variance are shown for rootstock and treatment averages. Values in the same row or column followed by the same letter are not significantly different for pS0.05 (Tukey’s adjusted). A 2002 MU FL PC TC Rootstock avg Supporter 4 24 19 3 4 13 b M.9 NAKB 337 41 50 21 28 35 a Treatment avg 33 a 35 a 26 ab 12 b 16 b B 2003 MU FL PC TC Rootstock avg Supporter 4 389 289 130 70 227 b M.9 NAKB 337 421 329 155 112 264 a Treatment avg 405 a 309 b 278 b 143 c 91 c Table 2.5. Nitrogen content (% dry weight) in apple leaves sampled in August of each year, for each orchard floor management system (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Analysis of variance was carried out for each year. Values in the same row followed by the same letter are not significantly different for p50.05 (Tukey’s adjusted). MU FL SS PC TC 2001 1.87 1.91 1.91 1.87 1.91 2002 2.29 2.39 2.22 2.21 2.19 2003 2.32 a 2.08 b 2.02 b 1.96 b 1.95 b Table 2.6. Nutrient 3-year average content in apple leaves sampled in August of each year, for each orchard floor management system (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Values in the same row followed by the same letter are not significantly different for p30.05 (Tukey’s adjusted). MU FL 88 PC TC P(%) 0.18 c 0.30 ab 0.31 a 0.30 ab 0.27 b K(%) 1.98 a 1.74 b 1.74 b 1.64 b 1.56 c Mn(ppm) 43.12 a 40.72 ab 39.03 b 38.73 b 38.78 b Zn(ppm) 16.82 b 16.55 b 18.19 ab 20.65 a 19.82 a 80 ll‘l;J i‘fi I“; ‘ . .‘ 1’14 if": 121335101: :51 if? < 4 Figure 2.1. Diagram of the system designed for leachate collection. The wooden boxes for the apple trees were lined with plastic film before filling and a funnel (F) installed from which a plastic pipe (PP) conducted the leachate to a jug (J) inside a 20 l. bucket (B) with the lid placed just above soil level. 2.5 2.0 g 1.5 2 O (I) 1.0 0.5 -o-MU +FL --o--ss —-x--Pc —<>-TC 0.0 MAY AUG APR JUN AUG NOV 2002 2003 Figure 2.2. Content of organic matter in soil (SOM) for 0-30 cm depth of boxes with trees by date for different treatments (n=16). (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover). Analysis of variance was carried out for each date. Values followed by different letters within date are significantly different for p50.05 (Tukey’s adjusted). 81 180 - of?" MU a 160 r—n —- N «b O O N03'—N in soil (ppm) 525 80 a 60 r 40 b .- 20 « 0 . , . JUN AUG NOV MAY AUG APR JUN AUG NOV 2001 2002 2003 Figure 2.3. Nitrogen content in soil (ppm of N03'—N ) in 0-30 cm depth by treatment (MU = Mulch, FL = Flame, SS = Sandwich System, PC = Partial Cover, TC = Total Cover) for boxes with trees. Each value is average of 16 replicates :h SE. Analysis of variance was carried out for each date. Values followed by different letters within date are significantly different for p50.05 (Tukey’s adjusted). 82 7 I a 6 _ ”g 5 0.. 3 4 z. + E 3 , Z 2 _ ! --D--SS l —-u- PC -°—TC O . . APR JUN AUG NOV Month of2003 Figure 2.4. Seasonal pattern of N content in soil (ppm NHf—N) in 0 — 30 cm depth as affected by orchard floor management system. Each value is average of 16 replicates i SE. Analysis of variance carried out for each date gave no significant differences for p50.05 (Tukey’s adjusted). 83 30* --o--MU —+—FL --o~ss --o<- PC +TC % soil moisture v/v 0 4 , r r r b e v\ b- ’\\‘D «\‘W «\‘q A“ “’0’ Po, oé‘b <19” 036’ “\b 010 a"? Oi" \°\ Date Figure 2.5. Soil moisture measured with TDR for 0 - 45 cm depth for 2002 --o--MU +11 --o--ss -x- PC +TC % soil moisture v/v G O i ’ T’ A 1 ”v7 7 '7" T ' 7' ' V ’T’ '7 7' 4 ' T ' 7' ‘ 7" ' x x x ‘x e e c all") ‘9?) of“) bi") ‘9'» 00 0"? “9 «\O «19 ‘9 ‘8‘ 08” 0: :d 3.56 3.6 wm.ww 3.? mass NNdm omém wmdm FIBRE—am 3.3 a L .NN co. "N awd ooém Nm.w mmém wmdw mods NNém wadm NVSN “ESE mud“ 3.2 3.2 $8 mmdm $.w 093 coda NYE. oodv wmfiv $.mm £232 moom meow SON moom Noom SON Sam 88 Ben moom NOON Sam :N :0 om :2 33 Eng 5 macoBscEBE one mg mg 3.2 m2 who 43 a; 2: 5o 85 w; fiscfim 35 mg mg a: 2: Ed 8d a; a: mac Rd w; 682.2 So 25 3o :2 3; Ned 8N mi a: 18 85 ed 532 88 88 88 88 88 82.. 88 88 Sam 88 88 88 w: 6 u a ><3 “GDP—0Q a: muQOESfiOhowv/H .805 2 me 095% 5 fl 38> comm @889? EoEomewE Soc P858 Hubbub have: much 5 .owEQE Sofm 28 .88 8 Sam mama—<63“ E 85655 20-53-25 mo coupon 0628 05 Bow BEES .225 050mm. CO 352 eom 38:8 E0322 .v .< 033. 147 1: Monthly prec1p + Max temp - 0 - Min temp 30 - 250 200 ’" A v E 9... v g 150 8 H 1 '5 g , .8 g i 100 -§ 0 8 E— o. r 50 * 0 Figure A.l. Ten-day average for maximum and minimum daily temperatures of air (°C) and monthly precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2000. Data were collected by the Michigan Automated Weather Network. [:1 Monthly prec1p + Max temp - 0 - Mrn temp 35 . 160 - 140 6 120 A O V 100 E d) v +5 8 8 30 .5 3 .§ 8 F 60 .9 133 8 40 a: » 20 , 0 Figure A.2. Ten-day average for maximum and minimum daily temperatures of air (°C) and monthly precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2001. Data were collected by the Michigan Automated Weather Network. 148 35 . :1 Monthly precip + Max temp - 0 - Min temp . '20 30 1 f" 6 20 1 80 E . V a. 15 a, :5 I0 1 60 g g 5 W E O. 0 1- 40 8 a , ., a: CD -5 L 5’ , a E“ I. v ‘ 20 -10 . -15 wall +77. +4 - ~l-x sums-L1 4M4»; M 1 l . 1 , o o“ of” 60' a“ o” o” of” a“ c)" a)" a“ o“ \\ '\>\ “’9 °-\\ 5\\ b\\ «\\ %\ q\\ \ \ \\\ \ \ Figure A.3. Ten-day average for maximum and minimum daily temperatures of air (°C) and monthly precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2002. Data were collected by the Michigan Automated Weather Network. [:3 Monthly precip + Max temp - 0 - Min temp 35 . 140 1 120 ,r - 100 E U 1 2. v o ‘ 80 c: g 1 .9. - H 8 L«50 33 8 j .9 O E 40 e I— ‘ CL. °‘ 0' ‘0 ‘.' i 20 -l5 5 I . L 1 -20 ,p_,_-..r:rr +- +01 + 1 1+; +é T 1 1—1“ l-L +4 1-+ 4 17.1-10 66" 66” 8'" 8” 66" 8” \SW \QO’ \QOI \60 \Q0 \Q9 \\ 0 «1 a .,\ 6 6°” 66" 66" 65’ 0 '1' 0 0 \° 9 x“ \Q5 «\ a) 01 \c\ Figure A.4. Ten-day average for maximum and minimum daily temperatures of air (°C) and monthly precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2003. Data were collected by the Michigan Automated Weather Network. 149 \ / >7 / \ r” \ Flamed area —I p Vegetated central strip j >/ (J, y: Tilled strips , '4 Ml? All“; '51 21nd 2m ‘ ’ ‘___ , H 0.6 rad—4} ‘ P 0 7 m 0.7 m MULCH FLAME SANDWICH Figure A.5. Diagram of the application of the orchard floor management systems to the tree rows. 150 30 140 1:]Precipitation - 0 - MU +FL "O“SS 25 - 120 20 . _ . 2 100 3% p .'-. d(i: E E __ 1:1" ' 80 g in F“ ‘5 .5 15 _ .g .g 5 ° o ' F 60 .9 '— T r ‘2 10 , T _ H ‘g 40 5 [b [I .I] [1 I720 0 [:1 .fi fin Cl fl 0 ’9 '\ ‘1 ‘8 ‘ ’9 '\ ‘1 ‘1 ‘ riff 89° r e“ 583’ dig-tiff a“ as 60‘ saggy 2002 2003 Figure A.6. Monthly soil moisture average measured by TDR (% v/v) and precipitation (mm) recorded at Clarksville Horticultural Experiment Station during 2002-2003. MU=Mulch, FL=F lame; SS=Sandwich. 160 Ilrrigation 140 4. DPrecipitation — 120 ‘ 100 ,. E 80 .— 1 — r—- F'— 60 - 1 40 ~ 20 4 I I 0 U. _J.j_ D 1 -.L_c, .._._L_.. . _ l_1 1_J __ swearsaaeaxr Q X \‘9 Q Vb Y. Y9 9°qu 06 6°46 of Figure A.7. Monthly irrigation applied and precipitation (mm) occurred at Clarksville Horticultural Experiment Station during 2001. Precipitation data was collected by an automated weather station of the Michigan Automated Network. 151 140 - Ilnigation DPrecipitation 120 . 100 7‘ 80‘ (mm) J 60 ~ 40 ,. 20 if H L [I 0 if, D07 I _ Y I l '7" " T T Y ' ' ‘l 9,5 <59 «56’ Y'Q& 64" 9“" 5°“ 88” V“ 3" ”'5‘ ‘9‘ 6 ,8»: \§ Q0 ‘H V. f 0" +0 f Figure A. 8. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2002. Precipitation data was collected by an automated weather station of the Michigan Automated Network. 160 - 140 . Ilrrigation DPrecipitation 120 . _' 100 f E 80 60 40 . 0 . 121.. E1, . [:l- ._l_.,. ,T a, If 4 a $651 56“? $10 v? ‘56) 365"” 3&7 ’09:? 8‘63? 0&5)“ Figure A. 9. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2003. Precipitation data was collected by an automated weather station of the Michigan Automated Network. 152 APPENDIX B 153 Table B. 1. Day of the year (DOY) with corresponding date in which treatment applications of floor management were performed. A. Flaming 2001 DOY 159 173 194 221 Date June 7 June 21 July 12 August 8 2002 DOY 142 159 193 208 250 Date May 21 June 7 July 11 July26 September 6 2003 DOY 151 169 178 185 203 218 239 Date May 30 June 17 June 26 July 3 July 21 August 5 August 26 B. Tilling I 1 51 I 2nd I 3rd I 4111 i 5H1 61h 2001 DOY 160 171 202 221 250 Date June 8 June 19 July 20 August 8 September 6 2002 DOY 163 183 212 221 247 262 Date June 11 July 1 July 30 August 8 September 3 September 18 2003 DOY 151 169 198 233 Date May 30 June 17 July 16 August 20 Table 8.2. Nitrogen content (% dry weight) in alfalfa hay at moment of application to boxes with Mulch. Sample 2001 2003 A 2.04 2.04 B 2.23 2.13 C 2.25 2.35 Average 2.18 2.17 154 Table 3.3. Ratio of C:N in alfalfa hay mulch for two dates in 2003 and for two different layers according to time of application. Time of application Date of sampling Aug-2002 Jun-2003 June 2003 15.02 17.63 November 2003 13.60 15.67 Average by age 14.31 16.65 155 W: v.2 mom 5.x. Non Wm fl: mow moo QNm fiwm were 8.50 8o. v.3 Q: wém ms ado Qw ode Woo o.ow w.wm o.mv v.3” 8.60 ca md— o.m _ mom M: 0.3 VS mac o. EL Non Qov Ndv o.mm £03628 3: m4: vow 9w m.mo_ fin v.3 mno— won NS» 13‘ won oEaE ed o 0.2 m. 5 En odm ms v.3 mom Emu mow mow mom £232 mooN NooN Sow moon Noom SoN moom moom Sow mooN NooN Sou :N so um 52 33 Eng 5 3552822 m mmo omo mmo m: ooo woo ~o.~ hm.“ mo; too So 2o 850 8% Go Go amo mm; 5: $6 SN no; on; and So 26 .850 .53 wmo omo mmo em; mm; woo Ed on." ow; avo nmo m _ .o sogwgm omo omo NNo mm; m 2 mod SN R4 we; :3 36 m mo 082m end 36 5o co." oo.— Nod om.~ :.N 34 "No So m _.o 5232 moon Noon Sow. moom mooN Som moom moom Sow mooN Noom Sow m2 8 x a 33 :5ch 5 3532882 < .82“ No me owmeozw 5 mm 33> scam $8893 Eon—ommcwfi Soc @8280 EEEoE been much E .moom 8 Som 63920728 E 8:285 20.33-05 oo newton 22:8 05 Bob BEES .EmO PAS—03m. mo 82*: com 88:8 H5532 .v .m 2an 156 250 1 ; Ilrrigation ' DPrecipitation 200 3 l l 150 ~ (mm) 1 1 100 50 ‘* I:I 0 I D‘j‘” D r " "f —‘* ""' r ‘T r— , . Ufifl i *9 '\ {590$ ‘o‘sfi ~99 Y'Qo 445% \ (‘0 8°°° 9% s4? 9" 36‘ <- as Y’ 3" 0° 04" a ‘9 Q 0 Figure 3.1. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2001. Precipitation data was collected by an automated weather station of the Michigan Automated Network. 250 lln'igation Cl Precipitation 200 l l 150 100 1 _ l _ SOJ ‘ n I] :1: DH _t__i, ‘ to ,D ~9 '\ A o \ 9&6 ‘oéfi ‘95» ‘30 ‘9 \so x&‘\ a»? 6&0" ‘50” 06.96 66106 \‘D' Q6 Y” $- 00 $04 06; Figure 8.2. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2002. Precipitation data was collected by an automated weather station of the Michigan Automated Network. 157 250 ,1 . Ilrrigation 200 i DPrecipitation l 150 5 100 3 1 50 ‘ 0 li a D [:1 , EU . H at _,T V is $6 $6 9‘3 0 (mm) ] ‘9 '\ 0 Figure 3.3. Monthly irrigation applied and precipitation (mm) at Clarksville Horticultural Experiment Station during 2003. Precipitation data was collected by an automated weather station of the Michigan Automated Network. 158 APPENDIX C 159 250 - I Irrigation D Precipitation 200 ‘ 150 __ a i r 5 l 100 - 50 ~ I M 0 '* Vfl'li 7' ’i ‘J ’T’ ’ I T lifi 6 6° *9 «1% 9° \‘3 ‘ ~06 ~05 ‘5‘ 6" $5 S 0 \Q ‘0 \‘9 Qapf ‘5» Y9 ‘5 8 $6, «9 00x9 eodéé‘ of? Figure 01. Irrigation and total precipitation (mm) recorded monthly at Clarksville Horticultural Experiment Station during 2001. Data was collected by an automated weather station of the Michigan Automated Network. 250 ; Ilrrigation DPrecipitation 200 i 150 - E . 5 l l 100 i 50 i 0. flfl '\ \ ff yrs Varese.» area a .6 ‘5 fig? é Figure C.2 Irrigation and total precipitation (mm) recorded monthly at Clarksville Horticultural Experiment Station during 2002. Data was collected by an automated weather station of the Michigan Automated Network. 160 (mm) ] 250 ~ 1 Ilrrigation 200 l DPrecipitation \ 150 l l 100 7“ 50 .3 I .\ 0 N p p Q0 ‘5‘5‘ 85} $9 é}, ‘0 Y” o 69 0 a“ Y' 43‘ 0 Figure C.3. Irrigation and total precipitation (mm) recorded monthly at Clarksville Horticultural Experiment Station during 2003. Data was collected by an automated weather station of the Michigan Automated Network. 3500 ,\ 3000 + . if 2500 - ° , .§> 2000 - E; 1500 . o 1000 ~ .E 500 0 0.7 0.8 0.9 1 1.1 1.2 Root:Shoot ratio Figure C. 4. Regression between tree total dry matter weight (g) and root:shoot ratio. y = - 3329.7 x = 5643.2 R2 = 0.58 161 APPENDIX D 162 Table D. 1. Field experiment. Day of the year (DOY) with corresponding date in which treatment applications were performed. A. Flaming I 1 st 2nd I 3rd I 4th I 5th I 6m 7th 2001 DOY 159 173 194 215 Date June 7 June 21 July 12 August 2 2002 DOY 142 159 179 193 207 250 Date May 21 June 7 June 27 July 11 July25 September 6 2003 DOY 151 169 178 185 203 218 239 Date May 30 June 17 June 26 July 3 July 21 August 5 August 26 B. Tilling I 15! I 2nd I 3rd I 4th I 5th 6th 2001 DOY 160 171 202 219 250 Date June 8 June 19 July 20 August 6 September 6 2002 DOY 163 184 212 247 Date June 11 July 2 July 30 September 3 2003 DOY 144 169 191 199 218 239 Date May 23 June 17 July 9 July 17 August 5 August 26 163 Table D2. Container experiment. Day of the year (DOY) with corresponding date which treatment applications were performed. in A. Flaming I 151 1 2nd I 3rd I 4th I SEE I 6th I 7th 2001 DOY 159 173 194 221 Date June 7 June 21 July 12 August 8 2002 DOY 142 159 193 208 250 Date May 21 June 7 July 11 July26 September 6 2003 DOY 151 169 178 185 203 218 239 Date May 30 June 17 June 26 July 3 July 21 August 5 August 26 B. Tilling If lsl I 2nd I 3rd I 4th 1 5111 I 6th 2001 DOY 160 171 202 221 250 Date June 8 June 19 July 20 August 8 September 6 2002 DOY 163 183 212 221 247 262 Date June 11 July 1 July 30 August 8 September 3 September 18 2003 DOY 151 169 198 233 Date May 30 June 17 July 16 August 20 164 Table D.3. Field experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Mulch treatment. Date of survey NOV APR OCT MAY NOV Common name Scientific name 2001 2002 2002 2003 2003 annual bluegrass Poa annua L. 0.2 0.0 0.0 0.0 0.0 black nightshade Solanum nigrum L. 0.2 0.0 0.0 0.0 0.0 buckhom Plantago lanceolata L. 0.1 0.0 0.0 0.0 0.0 Canada bluegrass Poa compressa L. 0.0 0.0 0.0 0.1 0.0 chickweed “35%?“ media (L) 5.3 1.4 0.8 0.5 0.4 common sowthistle Sonchus oleraceus L. 0.0 0.0 0.0 0.1 0.0 crabgrass gig?“ “mama” (L') 8.3 0.0 1.4 0.0 0.0 curly dock Rumex crispus L. 0.2 0.2 0.0 0.0 0.0 dandelion xggm’" 0177“"“19 0.2 0.2 0.0 0.1 0.0 downey brome Bromus tectorum L. 0.0 0.0 0.0 1.3 0.0 field pennycress Nilaspi arvense L. 0.0 0.0 0.0 0.1 0.0 grass (not identified) 0.6 0.0 0.0 0.2 0.0 ground ivy Glechoma hederacea L. 0.0 0.0 0.0 0.7 0.0 hairy bittercress Cardamine hirsuta L. 0.7 0.0 0.0 0.0 0.0 henbit Lamium aplexicaule L. 0.9 0.2 0.4 0.0 0.8 horseweed €333“ cam’dm“ (L) 0.0 0.0 0.0 0.1 0.0 lambsquarters Chenopodium album L. 0.1 5.1 0.0 0.6 0.0 orchardgrass Dactylis glomerata 1.6 0.8 0.1 0.1 0.1 quackgrass Elymus repens (L.) Gould 0.0 0.0 4.0 15.4 0.9 red clover Tnfolium pratense L. 1.3 0.7 0.0 0.0 0.0 red sorrel Rumex acetosella L. 0.2 0.0 0.0 0.0 0.0 rye-grass Lolium perenne L. 0.2 0.0 0.0 0.0 0.0 wild carrot Daucus carota L. 0.1 0.1 0.0 0.3 0.0 TOTAL plants (number / m’) 20.1 8.7 6.7 19.4 2.1 N° Species 16 8 5 l3 4 165 Table D.4 Field experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Flame treatment. Date of survey NOV APR OCT MAY NOV Common name Scientific name 2001 2002 2002 2003 2003 annual bluegrass Poa annua 0.9 3.9 1.6 12.9 19.3 bald brome Bromus racemosus L. 0.0 0.0 0.0 0.1 0.0 black nightshade Solanum nigrum L. 0.1 0.0 0.0 0.0 0.0 broad leaf (not identified) 0.0 0.0 0.0 0.0 9.8 broadleaf dock Rumex obtusifolius L. 0.0 0.0 0.3 0.0 0.0 buckhom Plantago lanceolata L. 0.2 0.4 0.0 0.0 0.1 bull thistle $22M W’gare (33“) 0.0 0.0 0.2 0.0 0.0 Canadian thistle Cirsium arvense (L) Scop. 0.0 0.0 0.0 0.1 0.0 chicory Cichorium intybus L. 0.5 0.0 0.0 0.0 0.0 chickweed Stellaria media (L.) Cyrillo 20.2 46.2 80.4 52.8 47.2 common sowthistle Sonchus oleraceus L. 0.0 0.0 0.0 0.3 0.0 corn chamomile Anthemis arvensis L. 0.0 0.0 0.0 0.7 0.0 crabgrass géfigfma sanguinalis (L') 9.4 0.1 1.7 0.0 1.4 curly dock Rumex crispus L. 2.0 4.2 3.3 1.4 0.3 dandelion aggw’" ”mam"? 1.6 2.9 4.2 4.5 22.9 downey brome Bromus tectorum L. 0.0 0.0 0.0 2.3 0.0 forget-me-not Myosotis arvensis (L.) Hill 0.0 0.3 0.0 0.0 0.0 grass (not identified) 2.9 0.0 0.0 0.1 6.7 green foxtail gi’gi‘ggw“ (L) 0.0 0.0 0.0 0.0 0.5 ground ivy Glechoma hederacea L. 0.0 0.0 0.0 0.2 0.0 hairy bittercress Cardamine hirsuta L. 14.7 5.1 3.7 33.5 37.4 henbit Lamium aplexicaule L. 1.2 4.3 3.3 13.5 29.4 horseweed Egg" madm“ (L.) 0.2 0.1 1.0 134.5 0.4 Italian ryegrass Lolium multzflorum Lam. 0.0 0.6 0.0 0.0 0.0 Kentucky bluegrass Poa pratensis L. 0.0 0.0 0.0 0.2 0.0 lambsquarters Chenopodium album L. 0.2 20.5 0.0 2.1 0.0 marsh yellowcress Rorippa palustris L. 0.0 0.0 0.1 0.0 0.0 166 mayweed chamomille Anthemis cotula L. 0.2 0.0 0.0 0.0 0.0 oldfield cinquefoil Potentilla simplex Michx. 0.2 0.2 0.0 0.1 0.0 orchardgrass Dactylis glomerata L. 5.1 2.0 1.0 1.0 1.0 prickly lettuce Lactuca scariola L. 0.0 0.0 0.0 0.0 0.2 purslane Portulaca oleracea L. 0.0 0.0 0.2 0.6 6.9 purslane speedwell Veronica peregrina L. 0.0 0.0 0.0 6.7 3.7 quackgrass Elymus repens (L.) Gould 0.0 0.0 0.6 0.7 0.0 red clover Trifolium pratense L. 1.0 2.5 0.1 0.2 0.0 red sorrel Rumex acetosella L. 0.6 0.2 1.2 3.4 1.8 redroot pigweed Amaranthus retroflexus L. 0.0 0.0 0.3 0.0 0.0 roughstalk bluegrass Poa trivialis L. 0.0 0.0 0.0 0.3 0.0 rye-grass Lolium perenne L. 0.0 0.0 0.9 0.2 0.0 sheperd's purse (Cl‘agfiléafiléursa-pastoris 0.9 1.0 0.0 1.3 0.9 white campion Lychnis alba Mill. 0.0 0.2 0.0 0.1 0.0 white clover T nfolium repens L. 0.0 0.0 0.0 0.7 0.1 wild carrot Daucus carota L. 0.4 0.2 0.0 2.9 0.2 wild oat Avenafatua L. 0.0 0.0 0.1 0.1 0.0 wild strawberry gliiirsfemgmiam 0.1 0.5 0.1 0.0 0.0 yellow rocket Barbarea vulgaris L. 0.0 0.0 0.2 0.0 0.0 yellow wood sorrel Oxalis stricta L. 0.0 0.0 0.0 0.2 0.0 TOTAL Plants (“umber / m’) 62.1 95.2 104.2 277.5 190.1 N0 Species 21 20 21 31 20 167 Table D.5. Field experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Sandwich treatment. Date of survey NOV APR OCT MAY NOV Common name Scientific name 2001 2002 2002 2003 2003 annual bluegrass Poa annua L. 1.7 4.8 2.3 15.1 25.4 bell bean Viciafava L. 7.5 0.0 0.0 0.0 0.0 black medic Medicago lupulina 1. 0.0 0.0 0.1 0.0 0.0 black nightshade Solanum nigrum L. 0.0 0.0 0.6 0.0 0.0 blackberry Rubus sp. L. 0.0 0.0 0.1 0.1 0.0 broad leaf (not identified) 0.0 0.0 0.2 0.0 0.2 buckhom Plantago lanceolata L. 0.1 0.2 0.5 0.6 2.4 bull thistle $2?” ”“15”"? (33“) 0.1 0.0 0.0 0.0 0.0 Canada bluegrass Poa compressa L. 0.0 0.0 0.0 0.6 0.0 chicory Cichorium imybus L. 0.2 0.0 0.0 0.0 0.0 chickweed “3553:“ media (L) 34.0 55.8 123.0 52.7 61.2 common sowthistle Sonchus oleraceus L. 0.0 0.0 0.1 1.3 0.0 comspeedwell Veronica arvensis L. 0.0 0.0 0.0 1.1 0.0 crabgrass giggaria sanguinalis (L) 3.6 0.0 2.3 0.2 0.1 curly dock Rumex crispus L. 0.6 2.1 1.0 1.1 0.0 dandelion xggw’" ”memale 0.5 0.3 2.3 1.5 3.1 downey brome Bromus tectorum L. 0.0 0.0 0.0 8.9 0.0 field bindweed Convolvulus arvensis L. 0.0 0.2 0.0 0.0 0.0 fleabane rough Erigeron strigosus Muhl. 0.0 0.0 0.1 0.0 0.0 grass (not identified) 1.0 0.0 0.0 0.4 16.5 green foxtail :33: grid“ “9 0.0 0.0 0.0 0.0 1.0 ground spurge Euphorbia prostrata Ait. 0.0 0.0 0.2 0.0 0.0 hairy bittercress Cardamine hirsuta L. 18.3 31.6 18.6 10.0 123.6 hawkweed Hieracium sp. L. 0.0 0.0 0.0 0.3 0.0 hedge mustard gfgzb'iu’" ”mama“? (1") 0.0 0.0 0.0 0.1 0.0 henbit Lamium aplexicaule L. 19.3 23.7 14.4 12.2 39.6 horseweed CW2" “madmjs (L') 0.0 0.0 0.9 166.0 34.2 Cronq. 168 Kentucky bluegrass Poa pratensis L. 0.0 0.0 0.0 1.2 0.0 lambsquarters Chenopodium album L. 0.2 14.2 0.1 0.4 0.0 oilseed radish Raphanus sativus L. 9.4 0.0 0.0 0.0 0.0 oldfield cinquefoil Potentilla simplex Michx. 0.0 0.0 0.0 0.3 0.3 orchardgrass Dactylis glomerata L. 1.0 0.4 0.7 0.2 2.7 pineapple weed nggaggnfimmmdes 0.0 0.0 0.0 3.9 0.0 prickly lettuce Lactuca scariola L. 0.0 0.0 0.1 0.0 0.0 purslane Portulaca oleracea L. 0.0 0.0 0.2 0.7 0.2 purslane speedwell Veronica peregrina L. 0.0 0.0 0.0 2.5 0.0 quackgrass Elymus repens (L.) Gould 0.0 0.0 0.2 4.3 1.5 red clover T rifolium pratense L. 1.7 1.3 2.1 1.2 1.7 red sorrel Rumex acetosella L. 0.2 0.0 50.2 92.1 40.3 redroot pigweed Amaranthus retroflexus L. 0.0 0.0 0.8 0.0 0.0 rough cinquefoil Polentilla norwegica L. 0.0 0.0 0.2 0.0 0.0 rye-grass Lolium perenne L. 0.0 0.2 1.5 0.2 0.0 sheperd's purse grzgfilégigmsa-pmtoris 0.6 1.1 0.0 3.8 0.2 silvery cinquefoil Potentilla argentea L. 0.0 0.0 0.2 0.0 0.0 slender rush Juncus tenuis Willd. 0.0 0.0 0.1 0.0 0.0 smooth brome Bromus inermis Leyss. 0.0 0.0 0.0 0.3 0.0 velvet leaf ”13:33” ’heol’hm“ 0.0 0.0 0.0 0.1 0.0 white campion Lychnis alba Mill. 0.0 0.9 0.1 0.2 0.0 white clover T rifolium repens L. 0.0 0.0 3.0 14.4 1.1 wild carrot Daucus carota L. 0.1 1.0 1.1 45.3 11.0 wild oat Avenafatua L. 0.0 0.0 0.6 0.2 0.0 wild strawberry gaggewrgmam 0.0 0.2 0.0 0.0 0.1 yellow hawkweed 531:?“ c““”""‘“’" 0.0 0.0 0.3 0.2 0.0 yellow rocket Barbarea vulgaris L. 0.0 0.0 0.3 0.1 0.0 yellow wood sorrel Oxalis stricta L. 0.0 0.0 0.2 1.7 0.2 TOTAL plants (number / m’) 99.9 137.7 228.7 445.3 366.4 N° Species 19 16 36 38 22 169 Table D6. Container experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Mulch treatment. Date of survey NOV APR OCT MAY NOV Common name Scientific name 2001 2002 2002 2003 2003 annual bluegrass Poa annua L. . 0.0 0.0 0.7 0.2 buckhom Plantago lanceolata L. x 0.0 0.0 0.0 0.0 chickweed Stellaria media (L.) Cyrillo x 0.0 8.9 13.5 1.3 dandelion gggw’" ”flaw"? x 0.0 0.0 0.2 0.0 downey brome Bromus tectorum L. . 0.0 0.2 0.4 0.0 grass (not identified) . 0.0 0.9 0.0 0.0 hairy bittercress Cardamine hirsuta L. x 0.0 0.0 0.0 0.0 henbit Lamium aplexicaule L. x 0.0 11.7 2.6 1.5 horseweed €332“ “Mdems (L.) 0.0 0.0 6.9 0.0 lambsquarters Chenopodium album L. . 0.2 0.0 0.4 0.0 quackgrass Elymus repens (L. ) Gould . 0.0 0.0 0.9 0.0 red clover T rifolium pratense L. x 0.0 0.0 0.0 0.2 red sorrel Rumex acetosella L. x 0.0 12.8 3.9 8.0 redroot pigweed Amaranthus retroflexus L. . 0.0 0.0 4.6 0.0 rye-grass Lolium perenne L. x 0.0 0.0 0.0 0.0 sheperd's purse ((Ezgfilégizursa-pastoris 0.0 0.0 0.4 0.0 white clover T rifolium repens L. . 0.0 0.7 1.9 0.0 wild carrot Daucus carota L. x 0.0 0.0 1.3 0.0 TOTAL plants (number/m2) . 0.2 35.2 37.6 11.1 N° Species 9 1 6 13 5 x = species present but number of plants not counted 170 Table D7. Container experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Flame treatment. Date of survey APR OCT MAY NOV 2002 2002 2003 2003 0.0 0.0 5.6 5.8 0.6 0.6 0.0 0.0 83.3 90.3 28.6 5.3 0.0 0.8 0.0 0.0 1.9 2.2 1.4 0.8 0.0 0.0 2.5 0.0 0.0 0.0 0.0 1.9 0.0 508.1 3.9 90.0 10.0 58.3 0.8 0.0 0.0 0.0 600.8 3.3 0.6 0.0 0.0 0.0 0.0 0.0 0.0 43.6 0.0 0.0 0.0 0.6 0.0 0.0 1.7 0.0 0.0 6.4 5.3 5.8 1.4 0.0 0.0 0.0 0.8 1.9 3.9 0.6 0.6 1.4 0.6 0.0 1.9 0.0 11.9 3.3 0.0 0.0 1.7 0.3 0.0 0.0 3.3 0.0 0.0 0.0 17.8 0.8 NOV Common name Scientific name 2001 annual bluegrass Poa annua L. buckhom Plantago lanceolata L. chickweed Stellaria media (L.) Cyrillo x crabgrass géggarta sangumalzs (L.) dandelion Taraxacum ofiicinale Weber x downey brome Bromus tectorum L. grass (not identified) hairy bittercress Cardamine hirsuta L. henbit Lamium aplexicaule L. x horseweed 80:3? canadenszs (L.) lambsquarters Chenopodium album L. xxfiuc Anthemis cotula L. 332:5;“1 Cerastium vulgalum L. 53:13:11 Veronica peregrina L. quackgrass Elymus repens (L.) Gould red clover T rifolium pratense L. x red sorrel Rumex acetosella L. rye-grass Lolium perenne L. x sheperd's purse 54:13?“ bursa—pastorls (L.) x white campion Lychnis alba Mill. white clover T rifolium repens L. wild carrot Daucus carota L. TOTAL plants (number/m2) N° Species 6 101.1 670.0 689.7 162.2 9 9 15 13 x = species present but number of plants not counted 171 Table D8. Container experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Sandwich treatment. Date of survey NOV APR OCT MAY NOV Common name Scientific name 2001 2002 2002 2003 2003 annual bluegrass Poa annua L. 1.2 0.0 7.8 12.8 bell bean Viciafava L. 0.0 84.2 0.0 0.0 black nightshade Solanum nigrum L. 0.0 2.0 9.5 0.0 broadleaf (not identified) 0.0 1.0 0.0 0.0 buckhom Plantago lanceolata L. 0.8 1.5 0.0 2.3 chickweed Stellaria media (L.) Cyrillo x 61.8 32.7 78.7 134.5 crabgrass 33:?” WNW,“ (L.) 0.0 1.3 0.0 0.3 curly dock Rumex crispus L. 0.0 0.0 0.2 0.2 dandelion T araxacum oflicinale Weber x 0.7 1.8 2.7 1.5 downey brome Bromus tectorum L. 0.0 0.0 6.2 0.0 grass (not identified) 0.0 0.0 0.2 9.0 green foxtail Setaria viridis (L.) Beauvois 0.0 1.0 0.0 0.7 hairy bittercress Cardamine hirsuta L. 2.2 0.0 1.0 11 1.3 henbit Lamium aplexicaule L. x 7.5 22.2 3.8 17.0 horseweed 53:31: T! canadensis (L') 0.0 6.7 315.0 45.2 Italian ryegrass Lolium multiflorum Lam. 0.0 0.0 0.0 0.8 lambsquarters Chenopodium album L. 0.5 0.2 0.0 0.0 xxfille Anthemis cotula L. 0.0 0.0 0.0 3.8 mousear chickweed Cerastium vulgatum L. 0-0 0~0 0-0 0-5 oldfield cinquefoil Potentilla simplex Michx. 0-0 0-7 0-0 0-5 prickly lettuce Lactuca scariola L. 0.0 0.0 0.5 0.0 purslane Portulaca oleracea L. 0.0 2.0 0.0 0.0 purslane speedwell Veronica peregrina L. 0.0 0.0 2.0 0.0 quackgrass Elymus repens (L.) Gould 0.0 0.0 1.2 4.7 red clover T rifolium pratense L. x 1.7 1.2 4.8 3.0 red sorrel Rumex acetosella L. 1.3 114.8 210.5 67.5 redroot pigweed Amaranthus retroflexus L. 0.0 0.2 0.0 0.0 roughstalk bluegrass Poa trivialis L. 0.0 0.0 0.0 0.7 172 rye-grass Lolium perenne L. x 0.8 1.8 5.3 4.8 sheperd's purse camel!“ b“"“‘p"“o"s(L') x 5.8 0.0 12.0 0.2 Medic. slender rush Juncus tenuis Willd. . 0.0 0.3 0.0 0.0 white clover T rifolium repens L. . 0.0 3.7 14.0 3.3 wild carrot Daucus carota L. . 0.2 0.8 25.5 4.2 wild oat Avenafatua L. . 0.0 0.0 2.2 0.0 wild strawberry 11;; :figfi'f’gmma 0.2 0.0 0.0 0.0 yellow foxtail fledgbla Iutescens (Weigel) 0.0 0.5 0.0 0.3 yellow rocket Barbarea vulgaris L. . 0.0 0.0 4.5 0.0 yellow wood sorrel Oxalis stricta L. . 0.0 0.5 0.0 0.2 TOTAL plants (number/m2) . 84.7 281.0 707.5 429.3 N° Species 6 13 22 21 25 x = species present but number of plants not counted Table D9. Container experiment. Composition and density of vegetative cover. List of I I 2 D O O 0 spec1es and then occurrence (plants/m ) for each date of survey as identified 1n Partial Cover treatment. Date of survey NOV APR OCT MAY NOV Common name Scientific name 2001 2002 2002 2003 2003 annual bluegrass Poa annua L. . 0.0 0.0 48.1 19.6 black nightshade Solanum nigrum L. . 0.0 0.4 11.5 0.0 buckhom Plantago lanceolata L. x 0.9 0.6 0.0 1.1 chickweed Stellaria media (L.) Cyrillo x 21.7 14.6 98.1 127.8 crabgrass gig?“ sangumm (L.) 0.0 3.3 0.0 0.0 dandelion Taraxacum oflicinale Weber . 0.4 0.4 1.1 0.4 downey brome Bromus tectorum L. . 0.0 0.2 0.7 0.0 grass not identified . 0.0 1.3 0.0 0.0 green foxtail Setaria viridis (L.) Beauvois . 0.0 1.1 0.0 1.7 hairy bittercress Cardamine hirsuta L. . 0.0 7.4 1.9 87.4 173 henbit Lamium aplexicaule L. x 6.5 1.9 41.7 12.6 horseweed 533:3. “Mdems (L) 0.0 3.9 38.9 0.0 Italian ryegrass Lolium multiflorum Lam. 0.0 0.0 0.0 0.6 Kentucky bluegrass Poa pratensis L. 0.0 0.0 0.6 0.0 lambsquarters Chenopodium album L. 6.3 0.7 2.2 0.0 mayweed Anthemis cotula L. 0.0 0.0 0.0 16.9 chamomllle mousear chickweed Cerastium vulgatum L. 0.0 0.0 6.9 0.7 oldfield cinquefoil Potentilla simplex Michx. 0.0 0.7 0.4 0.4 purslane Portulaca oleracea L. 0.4 0.0 0.0 0.0 purslane speedwell Veronica peregrina L. 0.0 0.0 8.3 0.2 quackgrass Elymus repens (L.) Gould 0.0 0.0 19.1 19.6 red clover T rifolium pratense x 23.0 9.1 3.7 5.2 red sorrel Rumex acetosella L. x 1.5 31.5 72.4 39.6 {)‘l’ughsmlk Poa trivialis L. 0.0 0.0 0.0 0.7 uegrass rye-grass Lolium perenne L. x 18.9 10.7 17.6 1.5 sheperd's purse 311$?" bursa’pas’oris (L) x 4.6 0.0 17.2 2.2 silvery cinquefoil Potentilla argentea L. 0.0 0.0 0.2 0.0 white campion Lychnis alba Mill. 0.0 0.0 1.1 0.0 white clover T rifolium repens L. 0.0 0.0 31.1 0.2 wild carrot Daucus carota L. x 0.9 0.7 64.8 3.9 wild oat Avenafatua L. 0.0 1.9 4.6 0.0 wild strawberry gighirsfi’emgmana 0.2 0.0 0.4 0.0 yellow foxtail 15186:? ’“tesce’” (weigel) 0.0 3.1 0.0 1.1 yellow wood sorrel Oxalis stricta L. 0.0 0.6 0.0 0.0 TOTAL plants (number/m2) 85.2 94.1 492.6 343.3 N° Species 8 12 20 24 21 x = species present but number of plants not counted 174 Table D.10. Container experiment. Composition and density of vegetative cover. List of species and their occurrence (plants/m2) for each date of survey as identified in Total Cover treatment. Date of survey NOV APR OCT MAY NOV Common name Scientific name 2001 2002 2002 2003 2003 annual bluegrass Poa annua L. . 0.0 0.0 6.7 0.3 broadleaf (not identified) . 0.0 0.3 0.5 0.0 buckhom Plantago lanceolata L. x 0.0 0.5 0.0 0.3 Stellaria media (L.) chickweed Cyrillo x 0.2 30.0 17.5 1 1.5 crabgrass Digitaria sangu malts 0") 0.0 4.0 0.0 2.5 Scop. dandelion “mam" 0177c‘”“16 0.5 1.2 3.0 1.2 Weber x downey brome Bromus tectorum L. . 0.0 0.0 0.7 0.0 grass (not identified) . 0.0 0.2 0.0 0.7 Setaria viridis (L.) green foxtail 0.0 2.8 0.0 0.2 Beauvois hairy bittercress Cardamine hirsuta L. . 0.0 13.3 0.5 0.0 henbit Lamium aplexicaule L. . 0.5 3.0 5.8 40.0 Conyza canadensis (L.) horseweed 0.0 0.2 62.3 28.5 Cronq. Italian ryegrass Lolium multiflorum Lam. . 0.0 0.0 0.0 1.5 lambsquarters Chenopodium album L. . 2.8 1.0 0.8 0.0 oldfield cinquefoil Potentilla simplex Michx. . 0.0 0.0 0.2 0.3 purslane speedwell Veronica peregrina L. . 0.0 0.0 2.8 0.0 quackgrass Elymus repens (L.) Gould . 0.0 1.8 12.2 9.2 red clover T rifolium pratense L. x 33.3 16.5 6.3 8.7 red sorrel Rumex acetosella L. x 1.2 44.2 73.5 25.5 roughstalk bluegrass Poa trivialis L. . 0.0 0.0 0.0 0.7 rye-grass Lolium perenne L. x 15.0 18.2 7.5 1.8 sheperd's purse fiffi’;£f”salmmm 0.0 0.0 3 .8 0.7 slender rush Juncus tenuis Willd. . 0.0 0.2 0.0 0.0 white campion Lychnis alba Mill. . 0.0 0.0 3.5 0.0 white clover T rifolium repens L. . 0.0 0.0 28.3 0.0 wild carrot Daucus carota L. x 0.5 0.3 3.8 1.8 wild oat Avenafatua L. . 0.0 0.0 5.3 0.0 wild strawberry Fragaria virginiana Duch . 0.5 0.0 0.0 0.0 yellow foxtail fveé‘gééufigim . 0.0 2.2 0.0 2.3 TOTAL plants (number/m2) . 54.5 139.8 245.2 137.7 N° Species 7 9 18 20 19 x = species present but number of plants not counted 175 l1111111111111llll