ABSTRACT RELATIONSHIPS BETWEEN CULTURAL PRACTICES AND MORPHOLOGICAL AND PHYSIOLOGICAL CHANGES IN PICKLING CUCUMBER (CUCUMIS SATIVUS L.) By Jose Miguel Fernandez This is a study of the behavior of different varieties of pickling cucumber for once-over harvest planted at different plant populations under various cultural and environmental conditions. Field experiments were conducted during 1969 to study the effect of plant density, supplemental nitrogen, and 2 types of irrigation on the growth and de- velopment of three varieties of pickling cucumbers. An attempt was made to place the yield and quality of cucumber fruits on a more exact morphological, physiological, and ecological basis that might help in the development of varieties suitable for high density planting. Results indicated that supplemental N levels (33. 5 and 67.0 lbs/acre), applied when the flowers began to appear, increased the leaf area per plant, the percentage of gynoecious plants, the number of fruit and usable yield, and value. As the plant population increased the need for N increased, suggesting that N was the most important nutrient under conditions of high plant populations. "Misting" (application of 0. 05-0. 06 inch of water per hour from 10 a. m. to 3 p. m.) during periods of high atmospheric stress had a direct beneficial effect on growth and development of cucumber plants as compared with - Jose Miguel Fernandez conventional irrigation used to maintain soil moisture. "Mist" irrigation in this experiment increased the internode length, leaf area per plant, number of fruits, usable yield, and dollar value, principally in the low and intermediate plant populations. As the plant population increased the internode length increased, but the number of nodes, average leaf area, leaf area per plant, and number of leaves decreased; however, the total yield increased, but the usable yield was not influenced. Under conditions of high plant populations, the competition for light at the end of the growing season had a marked detrimental influence on the gross photosynthetic rate, resulting in a significant decrease in crop value. "Mist" irrigation and supplemental nitrogen increased the gross photo- synthetic rate calculated by a light/photosynthetic mathematical model. Varieties behaved differently under the conditions studied; WU 8821 was shown to be more adaptable to high plant populations because of certain morphological and growth characteristics. RELATIONSHIPS BETWEEN CULTURAL PRACTICES AND MORPHOLOGICAL AND PHYSIOLOGICAL CHANGES IN PICKLING CUCUMBER (CUCUMIS SATIVUS L.) By Jose Miguel Fernandez A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Horticulture 1970 QCoZOC/g 5 — I? '70 AC KNOW LEDGMENTS The author wishes to express his sincere thanks and appreciation to Drs. C. W. Nicklow and R. L. Carolus for their assistance and guidance in the planning and analysis of this study and to the other members of the guidance committee: Dr. A. A. De Hertogh, Dr. L. R. Baker, Dr. A. L. Kenworthy and Dr. A. E. Erickson. Appreciation is also expressed to Dr. Charles Cress for his assistance in computer analysis. The financial support of a Gerber Baby Food Fund assistantship is gratefully acknowledged. Finally, special appreciation is expressed to my wife, Ana Cecilia, for her patience, help, and encouragement during my graduate studies. ii TABLE OF CONTENTS Page ACKNOWLEDGMENTS........... ........ . 11 LIST OF TABLES................................................... 'v LIST OF FIGURES. vii INTRODUCTION..................................................... 1 REVIEW OF LITERATURE.... ................ ......... ....... 3 Introduction.................................................. 3 Factors That Can Limit Growth and Productivity of Plants...... 4 Relationships Between Limiting Factors and Plant Morphology... 13 Relationships Between Light Distribution, Physiology of Plant Growth, and Productivity.................................. 24 MATERIAL OF METHODS.......................................... 33 I, Nitrogen Level............. ................. ................ 33 II. Irrigation Systems........................................... 34 III. Morphological Measurements................................. 36 IV. Physiological Measurements.................................. 41 RESULTS.......................................................... 49 I. Relationships Between Cultural Practices and Morphological Changes in Different Varieties in Pickling Cucumber........ 49 (A) Internode Length and Number....................... 49 (B) LeafArea and Leaf Area Index..................... 54 (C) Harvest Date ................... .. 60 (D) ,Sex Expression.................................... 63 (E) Fruit Set.. ...... ... 63 (F) Yield and Relative Value................. ..... ..... 69 II. Relationships Between Cultural Practices and Nutrient Com- position in Different Varieties of Pickling Cucumbers........ 81 (A) Macronutrients..................................... 81 (B) MicronUtrientSOCOOOOO.00.0.....OOOOOOOOIOOOOOOOOOOOO 84 III. Relationships Between Cultural Practices, Light Distribution, Physiology of Plant Growth, and Productivity in Different Varieties of Pickling Cucumber..... .. ..... ...... ..... ...... 86 iii Page (A) Light Above and Below the Canopy ....... . ....... . . . 86 (B) Extinction coeffi-Cient. O O O O O C O O O O O O C O C O O C O O C O O O O O C O . 86 (C) Photosynthetic Rate. . ............... . ...... . . . . . . . . 90 DISCUSSION. . . . . . . . 102 LITERATURE CITED...... ......OOOOOOOOO 105 iv Table 4. 10. LIST OF TABLES Page Leaf area in square inches per leaf, number of leaves per plant, leaf area in square inches per plant, leaf area in thousands of square inches per plot, and leaf area index as affected by variety, plant population and Nlevel. 57 Leaf area in square inches per leaf, number of leaves per plant, leaf area in square inches per plant, leaf area in thousands of square inches per plot, and leaf area index as affected by variety, plant population and systems of irrigation.. .......... . ............ . ........ 59 Number of days from planting to harvest as affected by variety, plant population and nitrogen level. . . . ......... 61 Number of days from planting to harvest as affected by variety, plant population, and systems of irrigation ..... 62 Effect of two varieties, at three plant populations, and three levels of nitrogen on the percentage of gynoer- cious and monoecious plants. .......... 64 (a) Effect of three varieties and two systems of irrigation, and (b) effect of three varieties on the percentage of gynoecious and monoecious plants ....... . . . . . . . . . ..... 65 Total number of fruit per plot, average number of total and usable fruits per plant for two varieties in each of three plant populations and three levels of nitrogen. . 67 Total number of fruits per plot, average number of total and usable fruits per plant for three varieties each at three plant populations and two systems of irriga- tion............ ................. 68 Yield 08 six grades of cucumbers, percentage and quantity of nubs, and marketable fruits for each of two varieties in three plant populations with three levels of nitrogen. 74 Value per acre of six grades of pickling cucumbers and the average value per bushel for each of two varieties, at three plant populations, and three levels of nitrogen.. . 76 V Table Page 11. Yield of six grades of cucumbers, percentage and quantity of nubs, and marketable fruits for each of three varieties at three plant populations with two systems of irrigation. . . . . . . ..................... . . . . . 77 12. Value per acre of six grades of pickling cucumbers and average value per bushel for three varieties each at three plant populations and with two systems of irrigation... ...... 82 13. Amounts of N, P, K, Ca and Mg (Total and Soluble) found in cucumber plants on the basis of dry and fresh weight.. ....... 83 14. Amounts of total Mn, Fe, Cu, B and Zn found in cucumber plants on the basis of dry weight..................... 85 15. Extinction coefficients calculated for each variety at three plant populations in Experiment 1 (a) and Experiment 2 (b)................................................ 89 16. Total bushels per acre, dollar value per acre, percentage of nubs and the area under calculated photosynthetic curve for two varieties, each at three plant populations, and with three levels of nitrogen...................... 95 17. Total bushels per acre, dollar value per acre, percentage of nubs, and the area under calculated photosynthetic curve for three varieties each at three plant populations, and two systems of irrigation..........................101 vi LIST OF FIGURES Figure 1. Daily minimum and maximum temperatures (OF) and cumulative daily precipitation (inches). . . . . . . . . . . . . . . 2. Cumulative (daily) solar radiation tOtals in langleys in relation to date, between July 1 and August 19, 1969. 3. SR-Spectroradiometer (ISCO) with the movable sensing headl used to obtain light intensity (in pW Cm mu- l)3.b0V€ and below the CaIIOPYOOOOOOOOOOOOOOOOOO 4. Rates of photosynthesis expressed in mg COg/dm2 of leaf surface/hour for Cucumis sativus L. "Var. Ohio 47" plants in steady light at various levels of photosynthetically active radiation. . . . . . . . . . . . . . . . 5. lntemode length (in inches) and average number of inter- nodes (on the top of bar graphs) at three stages of growth of two varieties and three plant populations. . 6. Internode length (in inches) and average number of intemodes (on top of bar graphs) at three stages of growth of three varieties, at three plant popula- tions and two systems of irrigation................ . 7. Internode length (in inches) and average number of intemodes (on top of bar graphs) at three stages of growth of three varieties with two systems of irrigation......................................... 8. Number of fruits per plot, and average number of total and usable fruits per plant at two systems of irri- gation and three plant populations. . . . . . . . . . . . . . . . . . 9. Number of fruits per plot and plants per acre for three varieties at three spacings........................ 10. Plants per acre, total usable fruit in bushels, total value per acre in dollars for each of three varieties at three plant populations.......................... vii Page 37 42 45 47 50 52 55 70 72 79 Figure Page 11. Light spectral distribution above and below the canopy of a pickling cucumber planting with 188, 000 plants per acreOOOOOOOOOOOOOOOOOO......OOOOOOOOOOOOOOOOOOOO 87 12. Gross photosynthetic rate for the variety, Pioneer, at three plant populations and three levels of nitrogen, during the perj-Od Of grOWthOOOOOOOOOOOO......OOOOOOOOOOOO... 91 13. Gross photosynthetic rate for the variety, Spartan Progress , at three plant populations and three levels of nitrogen during the period of growth........................... 93 14. Gross photosynthetic rate for three varieties each at three plant populations with mist irrigation during part of the growmg periOdOOOOOOOOOOOOOIO......OOOOOOOOOOOOOO 97 15. Gross photosynthetic rate for three varieties each at three plant populations with conventional irrigation during part Of the growmg periOdOOOOOOOO......OOOOOOOOOOOOO 99' viii INTRODUCTION Cucumbers for pickles are one of the most important vegetable processing commodities in the United States. In Michigan, they provide an on-farm value of around 10 million dollars annually. Due to labor shortages in recent years, mechanization of harvesting has been intensively studied. In order to harvest mechanically, investigators have been concerned not only with the principles and components of the once-over harvester, but also in the development of suitable varieties and cultural prac- tices for economic production. Cucumber varieties are normally monoecious in flowering habit (pistillate and staminate flowers on the same plant). The introduction of the gynoecious character (plants with all pistillate flowers) by Peterson and Weigle (1958) resulted in the development of gynoecious pickling cucumber hybrids. They develop pistillate flowers earlier than the monoecious varieties and produce a concentrated fruit set which results in higher yields. These characteristics have made once-over harvest feasible, Peterson (1960). The economic success of once-over harvest depends on many other factors. Some of these are a short internode vine type, a low ratio of vege- tation to fruit, disease resistance and fruit quality characteristics acceptable for processing. All these characteristics are needed in order to achieve a high yield at a single harvest. However, due to the sequential development of flowers and the fact that one to a few developing fruits can prevent sub- sequent fruit development in a gynoecious cucumber plant, a large number of usable fruits are not produced at a given time. Hence, increasing the plant population per acre is one method of increasing the yield per unit area of land for a single harvest, Stout gt _a_._l_: (1963). An increase in competition among plants for nutrients, light, water and C02 in high density stands will likely require changes in other cultural practices. As plant populations increase and the competition among plants increases, some varieties behave differently than others and give a different response especially in yield, Nicklow (1968). This is a study of the behavior of different varieties at different plant populations under various cultural and environmental conditions. Also, the influence of morphological, physiological and ecological factors on yield were evaluated. .This may help in the development of varieties suitable for high density planting and mechanical harvest. REVIEW OF LITERATURE Introduction Since the development of the first gynoecious pickling cucumber F1 hybrid, Spartan Dawn, several other gynoecious hybrids have been developed and evaluated under a wide range of plant populations, for a once-over destructive harvest. Morrison and Ries (1967) reported yield and dollar value per acre increased with an increase in plant population from 4, 100 to 77,880 plants per acre, using the varieties, Spartan Dawn and NBU FC-ll. In subsequent experiments, neither the yield nor the dollar value per acre increase using plant spacings closer than 9 inches between rows and 9 inches between plants in the row (9" x 9") or 77,880 plants per acre. With the same plant spacing, 9" x 9" or 77,800 plants per acre, 10 gynoecious varieties showed a wide variation in their ability to produce high yields at this high plant population in work reported by Nicklow and Woolsey (1968). Using a gynoecious cucumber hybrid, Spartan Advance, which pro- duced high yields in the previous experiment, the same authors show ed that increasing the plant population to 251,000 plants per acre or 5" x 5", re- sulted in a dollar value significantly higher than from plants spaced 9" x 9". Fruit yield of plants is produced in the course of the processes of their life during vegetation, reproduction and development. According to Nichiporovich (1960), high yields are obtained if the plant's needs are met in the optimum manner throughout the entire growing period; if the plants are steadily supplied with food and water; if the nutrients are well assimilated; if they are utilized in the best way for growth, formation and development of those organs, which are initially essential for the feeding and growth of the plant itself (roots, leaves) and later for the formation of organs con- stituting the economical part of the yield (fruits, bulbs, grains, etc. ). Hence, the difference in behavior of cucumber varieties at high plant populations may be due to a different behavior of the plants during the entire growing season, showing a different response to limiting factors under condi- tions of extreme competition among plants. It is anticipated that accompanied with these differences are morphological and physiological changes which in- crease the efficiency of the plants to meet their requirements for optimum growth. Factors That Can Limit Growth and Productivity of Plants According to Blackman (1905), productivity of plants is determined by the activity of the photosynthetic mechanism. The most important factors controlling photosynthesis are nutrients, moisture, temperature, carbon dioxide and radiant energy. In high density plantings, one or several of these factors might limit the growth and productivity of a crop. Nutrients The nutritional requirements of pickling cucumber have been studied intensively in conditions of low and relatively high plant populations. The work of Cooper and Watts (1934) revealed that P was often the most limiting element, followed by N and K. At different locations in Michigan, Wittwer and Tyson (1950) concluded that the application of 500 pounds per acre of 3-12-12 fertilizer was profitable with pickling cucumber in fairly productive soils. Also, they concluded that supplemental N was not beneficial, except on poorly drained soils of low fertility. Working with 4 different spacings (6, 12, 18, 24 inches apart in 5 feet rows), Ries (1957) found that yield was not influenced by fertility levels. With the same spacings in the row but with rows 4 feet apart, he found that the highest yields were obtained from plots with close spacing and supplemental fertilizer, 100 pounds of NH4NO3 with 200 pounds of 12-12-12 per acre, during a season of heavy rainfall. Miller (1957) working with greenhouse conditions, found N was the most limiting factor in the growth of pickling cucumber. He found that 3 times more marketable fruit was produced by the high N application. Under field conditions, he found highest yields were produced in plots receiving 100 pounds per acre of 5-20-20 in a side-place application. He noted, also, that the variety, SMR-12, has a better foraging ability than Wisconsin 70. Ries and Carolus (1958) found that there was no increase in yield from application of either 'Mg or supplemental N in a season of above average rainfall; although it appeared that the addition of supplemental N counteracted some detrimental effect of high K. They, also, pointed out that the lack of either nitrogen or phosphorous or both delayed maturity. Moisture Slatyer (1969) reported that all plant processes took place in what was effectively an aqueous medium. Because water was involved as either a transporting agent or reactant in many of these‘processes, it was not sur- prising that reduced water uptake and dehydration could have deleterious on most physiological processes. According to Kramer (1963), water stress or water deficit has multiple effects on plant growth, but the most important one is the reduction in the rate of photosynthesis by the reduction of leaf area, closure of stomata, and reduction of the dehydrated protoplasmic machinery. In tomato leaves, Brix (1962) found that a Diffusion Pressure Deficit (DPD) of 7 atmospheres was required before photosynthesis was reduced. Higher DPD resulted in higher reductions, and at 14 atmospheres net photo- synthesis was zero. In leaves the rate of respiration was affected by water stress with a steady decrease with a DPD above 8 atmospheres. He, also, found that the rate of transpiration and photosynthesis change was quite similar, thereby indicating that photosynthesis was affected by water stress because of an increased resistance to gaseous diffusion. Using cotton leaves, Boyer (1965) found that both photosynthesis and respiration were reduced at least 25% at -8. 5 bars (106 dyne/cmz). In all cases, stomata were fully open indicating that only part of the photosyn- thesis reduction (and the large decrease in growth) could be attributed to stomatal closure. Decreasing the water content in cotton leaves from 96 to 56% re- sulted in an increase in the calculated diffusive resistance and a decrease in CO exchange. Under these conditions, T roughton (1969) found that 2 plant water status primary affects CO exchange by regulating stomatal 2 aperture. The mesophyll resistance, which was estimated in air and in oxygen-free atmosphere, did not vary with the relative leaf water content when reduced to 75%, but increased progressively as relative water content dropped from 75 to 56%. Greenfield (1942) working with plants without stomata, showed a reduc- tion in photosynthesis with an increase in water stress. From the results of Boyer (1965) with cotton leaves which showed a decrease in photosynthe- sis under high water stress with the stomata fully open, appears to give evidence that a decrease in hydration of protoplasm also directly reduced photosynthesis. Nichiporovich (1968) noted that the general state and the activity of the photosynthesizing apparatus changed to a large extent during the day, becoming particularly unfavorable at the middle of the day. Working with corn plants growing in a chamber at 1 atmosphere soil moisture tension and at 1 inch Hg vapor pressure deficit, Baker and Mus- grave (1964) showed a light saturation at 10 a.m. Under these conditions the rate of apparent photosynthesis was reduced 50% and more in the middle of August. The rate of photosynthesis behaved in a similar manner to transpiration, suggesting either stomatal control or an increase in mesophyll resistance proportional to an increase in stomatal resistance. Leaves of Phoenix reclinata Jacq. responded to both high temperature and water stress, with a sudden and marked increase in their minimum inter- cellular space carbon dioxide concentration according to work by Meidner (1961). He concluded that the phenomenon of midday closure of stomata may be due to either of these two factors or both interacting together. In tomato and cotton the response patterns showed a close relationship to water stress. In both crops, Slatyer (1967) found that growth (expressed as total dry weight) and stem elongation, did not continue beyond a stress value that resulted in zero turgor pressure in the tissue of adult leaves. Also, in Sorghum vulgare L. , Helianthus armus L., GOSS)Q1um hirsutum L. , and Thespesia pulpunea (L.) Soland, El-Sharkany and Hesketh (1964) reported net photosynthetic rates depressed by high water deficits and high temperatures. Temperature and Carbon Dioxide The normal C02 content in the atmosphere of 0.03% can be reduced during the day to 25% below the normal. According to Chapman and Loomis (1953), this limitation in C02 supply can explain the low temperature coefficient of photosynthesis in the field of 1.0 in contrast to 2.0 or more in laboratory conditions with C02 concentrations 100 to 200 times normal. Gaastra (1959) reported that, using leaves from sugar beet, turnip, tomato and cucumber plants growing in 0.03% C02, photosynthesis was almost independent of leaf temperature, while at higher concentration, the rate is strongly affected by temperature, so that light saturation was not reached at the highest temperature (31 to 35°C). At high light intensities, he found the relationship between photosynthesis and C02 concentration to be linear in the concentration range from 0 to O. 03%. In cucumber plants, Hopen (1962) found that C02 and light functioned as compensative growth factors. As light levels were intensified up to 1,400 footcandles, the growth of cucumber plants increased at a more rapid rate with higher levels of C02 than under low levels. At the higher 002 concen- tration studied (2150 ppm), light was shown to be a limiting factor at a light intensity range from 1,000 to 1,400 footcandles. He concluded that C02 and light could be limiting factors for field cucumber growth under conditions of high plant p0pu1ation. Light The energy of light from the sun, according to Anderson (1964), ulti- mately drives all biological and meteorological processes. On striking the earth's surface, some of the absorbed light may be reradiated as heat, 10 driving atmospheric processes, some may go to evaporate water from the soil and plants while a small portion, 5-6% at most, may be used in photosynthesis . Photosynthesis is not only affected by the duration and intensity of light, but also the quality. According to Loomis _e£ a_l_. (1967), the number of quanta, or the energy and spectral distribution in the 0.4 to 0.7 mi- crons (n ) region, is the most important. According to Saeki (1960), within a plant community, incident light intensity diminishes on account of light absorption, for the most part, by the leaf laminae. So the area of the leaves and their mode of distribution are no doubt the major determinant of light distribution inside the plant community. If I' is the light at any level with the canopy, and I0 the incident light above the canopy, the mean relative light intensity will be I'/Io. Expressing I'/Io, prevailing at any level of the plant canopy as a function of the total leaf area of plants per unit stand area (Leaf Area Index or L), the illumination intensity at each leaf surface can be calculated by the formula; I'/Io = exp (-KL). Where (K) is the extinction coefficient determined by the transmissibility, arrangement, and especially the inclination of leaves. The extinction coefficient (K) is characteristic of each plant community. Monsi and Saeki (1953) reported that in communities with more or less vertical leaves the extinction coefficient (K) on both theoretical and practical grounds was usually 0.3 to 0.5, and for communities with nearly horizontal 11 leaves was 0.7 to 1. 0. The relationship between the photosynthetic rate of leaves and light intensity (at normal C02 concentrations, 0. 03%) has been determined by several investigators. Gaastra (1958) reported that photosynthesis curves provide the basis for interpretation of data on solar energy conversion in field crops, derived from harvest data and simultaneous records of incident solar radiation. De Witt (1959) found that the relationship between photosynthetic rate of leaves and light intensity was largely unaffected by temperature within the normal temperature range and was substantially the same for several agricultural crops. Therefore, the photosynthesis in a crop surface would depend on: a) photosynthetic curve of single leaves, b) position of leaves with respect to direction of light, c) direct and diffuse light intensity, d) natural shade of leaves, e) soil coverage by the leaves, and f) carbon dioxide concentration of atmosphere. According to Saeki (1960), light photosynthesis curves obtained in con- trolled conditions could be well approximated by a rectangular hyperbolae equation, P = W , where (P) is the gross rate of photosynthesis, (I) is the light intensity, (Pmax) is the maximum rate of photosynthesis (horizontal asymptote of the curve), (k) is the half saturation light intensity. The con- stants (Pmax) and (k) define the shape of the curve. McCree and Loomis (1969) reported that in cucumber plants the light- response curve was similar to those commonly found for dicotyledoneous 12 species. They found the maximum photosynthetic rate in this case was 29 milligrams of 002 per din2 (mg COz/dmz) of leaf surface per hour, being reached at about 150 watts per square meter per hour (W /m2/hour) of photosynthetically active radiation, with a half saturation light intensity of about 40 W/mZ/hour. Baker and Musgrave (1964) found in field conditions, very high corre- lations between the radiation measured on a flat horizontal surface and the rate of photosynthesis in a corn stand. This indicated that the response curve could be fitted to a curve used for a single leaf. From the analysis of the angle of incidence of the sun's rays, the spectral composition of the radiation, and the relative intensity of diffuse radiation from blue sky, haze, clouds, and of direct radiation from the solar beam, Monteith (1969) found that the fraction of photosynthetically active radiation (PAR) was surprisingly constant at 50% of total radiation when the sun was more than.20 degrees above the horizon. The rate of photosynthesis per unit leaf area is usually measured in controlled conditions, in steady, artificial light, but in nature the most com- mon condition is fluctuating light. McCree and Loomis (1969) demonstrated that in fluctuating light, both natural and artificial, the photosynthetic rate was always within a few percent of that calculated from the steady-state rates. In other words, when the light was reduced but not' extinguished, the plants (cucumber) acted as near-perfect integrators for all periods of alter- 2 nating light between 10' and 10+3 seconds. 13 From these studies, it may be expected that the gross photosynthesis of a field crop would be: a) relative insensitive to daytime temperature changes during the growing season, b) strongly dependent on the intensity of radiation and its distribution below the canopy, and c) approximately pro- portional to the concentration of carbon dioxide in air surrounding the leaves. Monteith (1965) found that within the plant canopy the minimum concentrations of 002 were usually between 290 and 250 ppm and rarely fall to 200 ppm. He concluded that the local deficit of C02 within the canopy was about 10 percent of average which was not considered as a serious limiting factor in crop growth. Relationships Between Limiting Factors and Plant Morphology Recognition of the fact that interpretation of the phenomena of flowering and fruiting requires a clear understanding of the vegetative processes that precede them, has stimulated numerous studies of factors affecting growth of plants from germination to maturation. Internode Legth Stem growth characteristics, determined by the number and length of intemodes, have been studied under different conditions. Miller (1957) observed that plant growth was slower and internodes were shorter on cucumber plants in cool conditions (60°F) than in warm conditions (70°F). Both Dearborn (1936) and Miller (1957) reported that cucumber plants growing under conditions of low N developed stiff and woody stems with slower 14 height growth than those on high N. Hopen (1962) found that the addition of 25% more C02 at realistic natural levels up to 2150 ppm increased the number of internodes developed and the height of the cucumber plants. The number of intemodes increased with the highest levels of radiant energy (1400 foot candles) and the higher C02 levels (450 ppm). As the radiant energy increased from 300 to 1400 foot candles, the height of cucumber plants decreased and the number of intemodes increased. Hence, the intemodes were shorter at high light levels. It is well known that light inhibits stem elongation of an intact plant compared with the exclusion of light. Mohr (1964) reported that the internode length was affected not only by the quantity, but, also the quality of light. He showed that the maximum inhibition effect was in the red wavelengths which was reversed by far-red light. Also, the duration of the photoperiod (daylength) affects cucumber plant length, number of intemodes, and the contour of the stems. Danielson (1944) found that in terms of stem length, the twelve-, eight-, and sixteen- hour plants were longest, intermediate, and shortest, respectively, at 63 days of growth. But during the ensuing two weeks the growth pattern was considerably altered, and at the age of 95 days the eight-, twelve-, and sixteen-hour plants were longest, intermediate, and shortest, respectively. The contour of the stems of the internodal diameter measurements showed that the sixteen-hour stems were approximately twice as thick at their 15 greatest diameter as the eight-hour stems. The thickness of the twelve-hour stems was intermediate with respect to those of the other groups. Leaf Area According to Nichiporovich (1960), productivity of plants may be deter- mined by the course of growth and the size of the photosynthetic mechanism (the leaves) and by the net productivity of photosynthesis. The speed of formation and growth of the leaves, the duration of their life activity, and the intensity of their activity usually depends on the nature and properties of the plant itself, and on the conditions of water supply, nutrition, light, C02, photoperiod, etc. Vegetative growth may be particularly sensitive to water deficits as reported byKramer (1969) because growth was closely related to turgor and loss of turgidity stops cell enlargement resulting in smaller plants. For the same reason, leaf area was usually reduced in conditions of water stress, indirectly decreasing photosynthesis. Milthorpe (1956) found that nutrition primarily affected the leaf area. His work showed that N increased the leaf area in the growth period. P increased the leaf area in the beginning of the growth period, and K delayed senescence of the leaves. Working with cucumber plants growing under conditions of low N, Miller (1957) and Dearborn (1936) reported that they developed a pale green foliage, while plants growing under high N conditions were dark green and succulent. 16 They have clearly shown that a high N level materially increased plant activity in producing green and dry matter, and that fruit development took place at the expenses of the growth of other parts of the plant. The importance of carbohydrate/N ratio in connection with the growth and development of plants was first pointed out by Kraus and Kraybill (1918). Larger size of leaves and stems was not always connected with higher yields. Plants grown with an abundant supply of N were dis- tinctly vegetative and non-fruitful, with a higher N03 -N and low free re- ducing sugars, sucrose and polysaccharides, than the less vegetative plants. It has been demonstrated in rice and other crops by Tanaka e_t_ El: (1965) that when the N uptake was large in comparison to the available light energy, the plants suffered a shortage of carbohydrates, leading to a decomposition of the protein and the accumulation of amino acids, amides and eventually ammonia with a consequent death of leaves. Cucumber plants, grown at excess levels of N, showed similar necrosis at the tips of the leaves (T iedjens, 1928). Hopen (1962) observed that leaf size and leaf starch contents of cucumber plants were increased when C02 was added to the atmosphere. The effect of light intensity, light spectrum and light duration has been studied extensively. Parker e_t g. (1949) found that leaf area increased as the light energy increased from 0. 1 to 10,000 erg/cmz/day. Dows (1955) reported that red light was most effective in stimulating leaf enlargement. 17 This red light effect was reversed by far-red light. Working with different photoperiods or daylengths, Danielson (1944) found that the largest cucumber leaf area per plant occurred in the twelve- hour plants, the sixteen-hour plants were intermediate and the eight-hour plants had the smallest leaf area. Leaves of the sixteen-hour plants were thicker than those from plants grown in the shorter daylengths. Sex Expression Due to the economic importance of cucumber plants, the sex ratio has been studied in detail in relation with various environmental conditions. Since the early work of Tiedjens (1928), the importance and direct in- fluence of factors such as light and nutrition on sex expression of cucumber plants have been known. He found that the total number of both staminate and pistillate flowers was less on plants grown in soil low in N than those grown in soil high in N. An abundance of light tended to increase the number of staminate flowers, but the reduction of light increased the number of pis- tillate at the expense of staminate flowers. He found that a reduction in the duration of the daylength decreased the number of staminate flowers. The main conclusion was that the environment did not cause a change from a staminate to a pistillate flower condition, but rather caused a change from one to the other type of flowers to leaf and stem tissue. In other words, the environment merely produced conditions which made possible the expres- sion of potentialities of the plant. Dearborn (1936) reported that on low -N 18 plants, fewer pistillate flowers were produced when the young fruits were removed than on normal fruiting plants. Cucumber plants, known as the small gherkin (Cucumis anguria L.), growing in different photoperiods showed differences in flowering responses according to work of Danielson (1944). These differences were quantitative rather than qualitative. Ten plants in the eight-,‘ twelve-, and sixteen- hour groups produced totals of 964, 647 and 465 blossoms, respectively. Maximum staminate flower production, on the basis of the total number of flowers produced, occurred in the eight-hour day. Using two air humidities at two temperatures (89% at 230C, and 50% at 300C) and two soil moistures (80% and 40% of total moisture capacity), Mining (1944) found that cucumber plants were more susceptible to these conditions in the period when the parts of the flowers were being formed. At 50% humidity and 30°C the appearance of male flowers were accelerated while the female flowers were impeded. The effect of the high humidity and temperature condition was entirely different. The rate of appearance of fe- male flowers increased, whereas that of male flowers lagged behind. In this latter growing condition, sexual developments assumed a course towards a greater manifestation of female tendencies. Similar results were obtained by Mining (1944) using different soil moistures, humid soils promoted a more rapid and stronger manifestation of female flowering. Using "Acorn" squash (Cucurbita pepo L.), pickling cucumber and 19 gherkin (Cucumis anguria L.), starting from the first leaf, Nitsch Etfl° (1952) observed the following sequence of flowers: underdeveloped male, normal male, normal female, inhibited male, giant female, and parthenocarpic female flowers. Climatic factors (daylength and temperature) affected the deveIOpment of these flower types. High temperatures and long days tended to keep the vines in the male phase, whereas low temperature and short days sped up the development so that the female phase was reached after a lower number of nodes, with the percent of female flowers rapidly becoming 100%. Also, they pointed out that the climatic factors modified the length but not the order of the phase. Peterson and Weigle (1958) found that the sex expression of gynomonoecious breeding lines segregated gynoecious plants at two locations, but the degree of female expression was affected by environmental conditions. In Colorado, con- ditions only 29.4 percent of the plants were gynoecious as compared to 49.7 percent in Michigan. Miller (1957) reported that night temperature, daylength and N level mar- kedly influenced the sex expression on monoecious pickling cucumbers. Rela- tively more pistillate flowers were produced by high than by low N conditions. Of the factors studied, night temperature was the most influencial in production of pistillate flowers. Relatively more pistillate flowers were produced under cool (600F) tlmn warm (70°F) night temperatures. High N and warm tem- perature resulted in high numbers of staminate flowers per plant. On the other hand, more pistillate flowers per plant were produced with high N and 20 cool temperature. One of the most important characteristics of cucumber plants has been the inhibitory effect of developing fruits on further growth and development of the plant. Tiedjens (1928) observed that if the pistillate flowers were all pollinated and fertilized, the first fruits start to grow producing an inhibitory effect on those pollinated later. He found that the extent of this inhibition is manifested differently in different plants. For example, one plant may develop only one fruit, while another may develop six fruits before the inhibitory effect is observed. Tiedjens (1928), also, found that removal of the staminate flowers at anthesis increased the production of pistillate flowers and reduced the ratio of staminate to pistillate flowers at least 40 percent. As the fruits were removed when mature, flowering began again, but few staminate flowers were produced with the result of the pistillate flowers improperly fertilized and the fruit did not develop well. Dearborn (1936) studied the same phenomenon under different N levels and found that under low and high N levels, normal-fruiting plants produced the greatest amount of total fresh weight (including the fruit) and deflorated plants produced the least. Deflorated plants produced fewer staminate flowers than did either plants with the fruit removed or those allowed to fruit normally, with either high or low N nutrition. The ratio of staminate to pistillate flowers and the percentage of fruit set were also modified by the removal of fruits and/or flowers. The widest ratio resulted from 21 removing young fruits from the low N plants. Defloration gave the narrowest ratio. The percentage of flowers which set fruit was increased materially by the removal of young fruit. These workers concluded that sex expression in cucumbers was deter- mined by genetic factors. The effect of the presence of fruit and various environmental conditions may be seen, but their influence confined within certain limits established the genetic composition of the plant. Fruit Set and Development Fruit growth and development, as well as their physical characteristics, may be affected by environmental factors. These factors may determine the quality and quantity of pickling cucumber fruits. Among nutritional factors, T iedjens (1928) reported that N was important for quality of pickling cucumber fruits. N improved the shape of the fruits even in flowers which were pollinated previous to the application of urea. Dearborn (1935) showed that more fruits of greater weight were produced on high N than on low N levels. Fruits from the low-N plots, without ex- ception, were of poor market quality. Fruits were curved and misshapen with a pale green yellowish color. Fruits from the high-N plots were all of excellent color, straight, and well shaped. Also, it was found that the development of fruit had less effect on the growth and chemical composition of the plant when the N supply was adequate than when it was low. High- N plants, in general, had higher percentages of all forms of N than low— N plants of the same type. 22 According to the work of Miller (1957), approximately three times as many marketable fruit were produced by high-N as by the low-N plants. Fruits from the low N plants were lighter green than from the high-N plants. Also, the high N level increased the length to diameter ratio of the fruits of two varieties tested. Pickling cucumbers were grown in sand culture by Reynolds and Stark (1953) with N at 5, 10 and 20 milliequivalents per liter (meq/l), Mg at 1, 3 and 9 meq/l, K at 3, 6 and 12 meq/l, and Ca at 4, 8 and 16 meq/l. Variations in N level produced the predominant effect on vegetative growth at all stages. The greatest weight and number of fruits resulted from the medium N level with a slight decline in fruit production at the highest con,- centration. The medium N level also resulted in the lowest percentage of malformed fruits atrl the earliest production of pistillate flowers. Fruit production increased and the percentage of malformed fruit decreased with each increase in Mg level. The K levels employed apparently had little effect on fruit production. The lowest concentration of Ca employed was apparently adequate and higher concentrations reduced growth. Significant interactions indicated that the toxic effect of high Ca was greatly reduced when it was present in combination with the high level of N, and the high K in combination with low Mg accentuated Mg defficiency. High K in com- bination with low Mg resulted in reduced growth and fruiting, but the high K in combination with medium or high Mg increased growth and fruiting. 23 Daylength and temperature also affect the pickling cucumber fruits. In conditions of low night temperatures (170C or less) and when the daylength was 12 hours or less, Nitsch (1952) found that the proportion of female flowers rapidly became 100 percent, and the size of the ovaries increased before full bloom until a parthenocarpic fruit was produced. At different daylengths, temperatures, and N levels, he found that the largest number of marketable fruits were produced by plants receiving high N grown under short day conditions. However, the highest perceItage of marketable fruit was produced under long day conditions. The highest yields were produced with high N in the warmer temperature, and neither temperature nor day- length affected the yield of the low-N plants. It was concluded that N was the most important factor as far as yield was concerned. Miller (1957) found that fruits produced under 70°F night temperature conditions were relatively longer during the harvest period. However, fruits produced under 60°F conditions were relatively longer during the late harvest period. Daylength had no effect on length to diameter ratio. Different light intensities and different levels of 002 also affected the pickling cucumber fruits. Hopen (1962) reported that larger numbers of fruit were developed on plants as the light intensity was increased from 300 to 1400 foot candles, and as the 002 concentration was increased from 450 to 1350 ppm. The highest yield was produced at 1400 foot candles of light and 1350 ppm of 002. Supplemental field lighting resulted in slightly 24 larger fruit yield compared to shaded and natural sunlight conditions. The importance of N and light was stressed by T iedjens (1928) when he said: "Even though a certain amount of N is necessary for the growth of the plant, yet the available sunlight, quantitatively and qualitatively speaking, seems to be the controlling factor in the abnormal prolificacy of some Strains of cucumbers and the false parthenocarpic production of fruits. " Relationships Between Light Distribution, Physiology of Plant Growth and Productivity In the last few years, interest in the analysis of the primary production of terrestrial and other plant communities has increased. According to Black (1963), a number of factors has been responsible for this: the clear understanding of the role of leaf area, following the widespread use of the concept of Leaf Area Index; the ready availability of measurements of solar and light energy; quantitative studies of the effects of meteorological factors on evaporation, and not least, the desire to place the study of yield on a more exact physiological and ecological basis. Net Assimilation Rate and Leaf Area Index The concept of net assimilation rate (E) was developed as an aid in the quantitative analysis of plant growth. According to Briggs _et 31; (1920), it may be defined as the rate of increase in the dry weight of a plant per 25 unit of leaf area per week. It is given by the equation: E = W2'W1 x logeLz-logeLl _ Lz-Ll t2 -t1 Where: W was the dry weight, L was the leaf area, t was the time and l was at the beginning and 2 the end of the week. This concept was de- veloped from the observation that the relative growth rate curve (weekly percentage increase in dry weight plotted against time), had the similar form that the leaf area ratio defined as the leaf area per unit dry weight plotted against time. This similarity suggested that the weekly increase in dry weight per unit leaf area was more or less constant through the life cycle. More recently, Watson (1947) has shown that E varied between different species grown in thesame environment, between varieties of the same species, between seasons of the same crop grown in the same place, and probably with age. The variation of E within and between species, varieties and seasons was accompanied by relatively greater variations in leaf area. It was shown that high yielding varieties were those with high mean leaf areas. There was no association between high E and high yield. Thus, variation in leaf area was the main factor determining differences in yield. Dry weitht yield betWeen wheat, barley, sugar beet, and potatoes was nearly porportional to the integral of Leaf Area Index (L) over the growth period called Leaf Area Duration (D). Welbank _e_£ a1; (1966) also found a nearly proportionality of the leaf area duration (D) to yield. 26 From time zero (at germination), Milthorpe (1956) reported the leaf area index (L) increased very slowly at first and then increased rapidly to a maximum. This maximum value of L was maintained for a short time. During the greater part of the life of all crops L was very small (less than 1.0); in other words, there was insufficient foliage to cover the soil. This was suggested as one reason for the low efficiency of annual crops in utilizing solar energy and the most important physiological limita- tion on dry matter production. Milthorpe (1956) suggested that the main possibility of increasing yield was in maintaining optimum leaf area index over a long part of the growth period. The optimum leaf area index beyond which growth rate decreased rapidly, have been reported for several crops: 4.5 for Trifdium subter- raneum, (Davidson and Philip, 1958); 3.0 for Brassica oleracea, (Milthorpe, 1956); 5.5 for Dactylis glomerata L. , (Pearce e_t al_. , 1963). Pearce g a_l_._ (1963) demonstrated that this optimum leaf area index may be governed by many natural and imposed variables. Black (1963) shoWed that in T rifolium subterraneum L. and in other crops, the optimum leaf area index was not affected by variations in tem- perature, but was determined by the incoming radiant energy. The leaf area index increased as the radiant energy increased. This indicated that the optimum leaf area index varied seasonably, being higher under high light intensities of summer than at other times of the year. Saeki (1960) reported that leaf arrangement and shape could affect the 27 pattern by which light was intercepted and reflected in plant stands. The mean relative light intensity (I'/Io) at any level of the canopy was determined by the leaf area index and extinction coefficient characteristic of each plant community. Extinction Coefficient (K) As developed by Saeki (1960), the light extinction in a plant community or the extinction coefficient (K) was determined by three main characteristics: transmissibility, arrangement and especially inclination of leaves. The transmissibility of leaves was related to the chlorophyll content per unit area. According to Kasanaga and Monsi (1954), the logarithm of trans- mittance decreased linearly with the increase in chlorophyll content. In a plant community with several planes, therefore, the transmissibility of the community would be determined by the number and the transmissibility of each plane. They demonstrated that the photosynthesis under transmitted light was 70 percent of natural light, and the increased amount of photo- synthesis in the plant community attained with the transmissibility to a maxi- mum of 40 percent of the photosynthesis without transmissibility. Saeki (1960) reported that the mean relative light intensity (I'/lo) pre- vailing at any level of the plant commtmity was linearly related to leaf area index. Further theoretical analysis, however, indicated that in a plant com- munity with steeply inclined leaves, the relation of I'/lo and leaf area index diverges from perfect linearity. In this case, leaf transmissibility (m) was 28 important and should be included in the equation: l'/Io = exp (-KL)/(1-m). However, in stands of broad leaves of approximately horizontal habit, the equation I’/IO = exp (-KL) could be used. With regard to the vertical distribution of foliage in plant communities, Saeki (1960) distinguished two major types: a) the herb type and b) the grass type. In the former the maximum foliage distribution was in the upper part, while in the latter it was at the lower part. He stated that this was one of the reasons why the grass plants allowed larger fractions of light to penetrate into the lower strate of the plant community than did herbaceous plants. Also, the plant density affected the structural pattern of foliage in plant communities. In a stand with higher density the whole foliage was compressed in the upper part while in a stand with lower den- sity the foliage was distributed more uniformly over a wide range of ver- tical direction. Wattson and Witts (1959) studied the inclination of leaves compared with the productivity in many plant communities. With lower leaf area indices, daily production in foliage was indifferent to inclination of leaves, while with increased leaf amount, the role of inclination in the production became very remarkable, upright leaves (with smaller K) being more efficient than horizontal ones (with higher K) under full daylight. Wild sugar beet had leaf photosynthesis rates in spaced stands similar to culti- vated beet, but under crowded stands was less productive because of the larger K and more postrate habit. 29 Several investigators have reached similar conclusions regarding the influence of variations in leaf angle and leaf area index. Loomis and Williams (1969) found that when leaf area index was small the horizontal leaves were advantageous. This was especially true in short season crops where crop yield would be dependent upon the rate at which full cover was reached, and on the efficiency of the canopy at small values of leaf area index. At large values of leaf area index, more erect leaves gave greatest production. However, inclined leaves showed a marked advantage only when leaf area index exceeded 2 to 4, and erect leaves only when leaf area index approached high values of 8 or more. Monsi (1968) reported that the highest productivity was attained in ideal foliage where light was distributed evenly on every photosynthetic leaf. Ideal foliage was thought of as a foliage in which the extinction coefficient (K) changed with depth in the foliage, i.e. K became small near the surface of the foliage and increased as the amount of light available fell off with increasing depth. Photosynthetic Rate, Growth Rate and Productivity Saeki's (1963) studies showed that given the light-response curve of single leaves in the laboratory, photosynthesis of a stand of the same species in the field could be estimated when it was known how light distribution be- low the canopy depended on interception by leaves. According to Saeki (1960) and Davidson and Philip (1956), laboratory 30 measurements at a: fixed concentration of C02, gave curves for the dependence of rate of photosynthesis (P) on light intensity (I) fitted by P = {—mfi—L , where P was the gross rate of photosynthesis, Pmax was the maximum value of P attainable (light varying and all other factors constant), k was a constant (the value of I at which P/Pmax = 1/2), and l was light intensity. The photosynthetic rate of the cucumber plant (Cucumis sativus "Ohio MR 17") was measured by McCree and Loomis (1969) using the rate of up- take of C02. In both outdoor and indoor experiments, the exchange rate of the whole cucumber plant was measured using a transparent plastic chamber through which air of known 002 concentration was passed at a known rate. The light-response curve of the cucumber plants, measured in steady light, had a maximum photosynthetic rate of 29 mg C02/dm2 of leaf surface per hour, which was reached at 150 W/mz/hour of photosynthetically active radiation. According to Davidson and Philip (1956), using the light response curve of single leaves, and knowing the light penetration at any level of the plant by the equation: I = 10 exp (-KL) (Beer's Law), the gross rate of photosyn- thesis could be calculated at any level of the plant by substituting the value of I (at any level of the plant) in the light response curve: P = Pmax 10 exp (-KL) 10 exp (-KL) + k (subject to the condition P = 0, L = 0), gave the gross rate of photosyn- , integrating with respect to Leaf Area Index (L) thesis of the stand in mg of C02 per dm2 of leaf surface per day, 31 =Pmax ln( Io+k ) P K (Ioexp(-KL)+k)' This mathematical model relating photosynthesis in a crop stand to horizontal light intensity required a knowledge of the amount of light inter- cepted by each layer of leaves in order to make integration over all layers possible. It was assumed that the light at any level was generally pre- dictable by Beer's Law. Baker and Musgrave (1964), measured the light interception by a corn stand using two light integrators, one on the ground and the other at complete exposure, and obtained a very high correlation between these radiations (measured on a flat horizontal surface) and the rate of apparent photosynthesis. The response curves could be fitted with equal precision to either a parabolic regression equation or to the rectan- gular hyperbolic form used for a single leaf. McCree and Troughton (1966) reported that, in principle, one could use the C02-uptake curve to predict growth rate from light. To estimate the net rate of photosynthesis, the respiration lost must be substracted from the gross photosynthetic rate. This model assumed that respiration was proportional to leaf area and independent of growth rate of light level. The rate of respiration was dependent on light level. Thus, the compensation point changed according to light intensity. The respiration rates of plants growing at various light levels were proportional to their photosynthetic rates. Hence, to their net daily uptake of C02 which was a measure of growth rate. It seemed entirely reasonable that plants should adapt their 32 respiration rates to be proportional to their growth rates. The idea of a fixed compensation point has been incorporated into several models. All assumed that respiration was proportional to leaf area and independent of light, so that the lower leaves of a dense crop were below their compensa- tion point and parasitic. McCree and Troughton (1966) indicated that this change of compensation point according to light intensity suggested that these models as proposed by De Witt (1959) might be in need of some modi— fication. Other models did not incorporate a compensation point. They assumed that the respiration rate was a constant proportion of the rate of photosynthesis; hence, they subtract 20% from the total gross photosynthesis of the crop over a long period of time. The De Witt model accurately pre- dicted the growth rates of plants used by McCree and T roughton (1966). The generally good agreement between growth rate and daily uptake of C02 in the experiment reported by McCree (1965) gave an indication of the validity of the proposed method of predicting growth rate from the C02/ light curves and the light climate. MATERIALS AND METHOIB I. Nitrogen Level (Experiment N0. 1) During the summer of 1969 a field study was conducted in order to determine the effects of N levels and plant populations upon two varieties of pickling cucumber. (A) Experimental Design. The statistical design was a split-split plot using varieties, Pioneer and Spartan Progress, as whole plots, splits for spacing and these with splits for N. The three spacings utilized were 3" x 5" (11 rows with seed spaced an average of 3" in rows and rows 5" apart), 5" x 5", and 10" x 5" (6 rows with seed 5" in rows and rows 10" apart). The levels of N used were 0, 33.5 and 67 pounds of actual N (as NH4N03, 33.5% N) broadcast at flower initiation (July 28). All treatments were replicated with 3 plots of each treatment or a total of 54. The size of each plot was 200 sq. ft. with two additional rows as borders, and providing enough space between plots (5 ft. at‘the sides and 10 ft. at the end) in order to avoid fertilizer border effect. The plots were planted June 28 using a Stanhay seeder with belts punched to provide the theoretical average spacing in the rows using average size cucumber seed. (B) Soil Type and Analysis. This experiment was conducted on a sandy loam to loam soil on the Orla Sheathelm farm, 25 miles southeast of Lansing near Dansville. Based on soil test results from samples submitted to the 33 34 Soil Test Laboratory at Michigan State University, 500 pounds of 8-32-16 fertilizer was broadcast and disc-in prior to planting. The soil had a pH of 6. 5 and tested 3.6% in organic matter, and 44, 200, 3900, and 450 pounds per acre of available P (Bray P1), K, Ca and Mg, respectively. Immediately after planting, herbicides were applied using 4 lbs of NPA (Alanap) and 2 lbs of DNBP (Premerge) per acre (0.2 inch of irrigation was applied following the herbicide application). Irrigation was provided using a solid set system (Sequamatic), whereby approximately 0.2 inch could be applied per day. (C) Petiole Samples and Nutrient Analysis. Cucumber petiole samples were collected at two times during the season, just prior to the N applica- tion and just prior to harvest. Each sample from each plot was composed of 20 to .30 petioles of living uninjured tissue selected from the middle portion of randomly selected plants. These samples were stored in the freezer at -200F for 2-3 months. Tissue samples were analyzed by methods similar to those outlined by Carolus (1938). Samples were collected from each plot at harvest, dried, ground and analyzed by the method outlined by Kenworthy (1967). II. Irrigation Systems (Experiment No. 2) A second field study during the summer of 1969 was conducted in order to determine the effects of two systems of irrigation, conventional and "mist", and plant population upon 3 varieties of pickling cucumber. 35 (A) Experimental Design. The statistical design was a split-split plot using two systems of irrigation, "mist" (0.04-0.06 inch per hour) and conventional (0.5 inch per hour). These two main plots were split for varieties and these with splits for populations. The three varieties utilized were Pioneer, Spartan Progress and MSU 7006 x 8519 (8821). The spacings were 3" x 5", 5" x 5", and 10" x 5". All treatments were replicated 3 times giving a total of 64 plots. The size of each plot was 100 sq. ft. with two additional rows as borders. A distance of 40 feet was provided from one system of irrigation to the other. The plots were planted July 8 using a Stanhay seeder with belts punched to provide the theoretical average spacing in the rows. The mist irrigation was turned on for about 4-6 hours when the maxi- mum temperatures during the day reached 83-850F, .as indicated by Carolus and Van Den Brink (1965). The conventional irrigation was turned on when the percentage of available soil moisture reached 50% and ran until field capacity (100% available soil moisture in the first 6 inches) was attained. (B) Soil Type and Analysis. This experiment was conducted on a loamy sand at the Horticulture Research Center, 3 miles south of East Lansing. The soil tested! pH of 5.8, and 6, 16, 600, 1,000 and 180 pounds per acre of N03, P (Bray P1), K, Ca, and Mg, respectively. The winter before planting 8-10 tons of manure were applied, and just prior to planting 300 lbs of triple superphosphate were applied due to the low level of avail- able P reported by the soil analysis. In addition, 30 lbs of N per acre 36 were applied as broadcast when the flowers began to appear. Immediately after planting, herbicides were applied using 4 lbs of NPA (Alanap) and 2 lbs of DNBP (Premerge) per acre. Soil moisture was adequate to activate the herbicide. (C) Soil Moisture Readings. Electrical resistance Delmhorst gypsum blocks were installed, in pairs at 6" and 12" deep, 10 days after planting. Each pair was located in plots having different plant population, replicated twice, and distributed at random within each system of irrigation. The in- stallation procedure, the reading schedule and the reading conversion were followed as described by Shearer (1963). (D) Temperature. Daily minimum and maximum temperatures were obtained from the meteorological station located at the Horticulture Research Center. These data are shown in Figure 1. (E) Precipitation. Daily precipitation was obtained from the meteoro- logical station located at the Horticulture Research Center. The readings were obtained at 8:00 a.m. for the 24 hours ending at time of observation. The data are summarized in Figure 1. III. Morphological Measurements (A) Internode Length Measurement. Internode length was measured beginning from the lower part of the plant to the upper part including the laterals. These measurements were taken at 3 times during the growth 37 73232 $598..— ummm £350 noumomom oudugowfiom on”. as smouum 8:38; .md 2: .3 Banana see .3295 5333393 3de o>3mgfiso was .3 v moHBmHanou 5:538 Una 8:838 33$ 4 8&5 W..E. W.II. ('m! ) uouuu mu p N r. o a o : '0 :::- . A. ::. $8.83.: :. “Mono: «4. J « o '.' q : 3 r, '4 e ‘\ ‘ ‘ a J r c " 3: ' c ‘ .00."...- ' 3 §§E§::.. mishafiksggiaéigiéfii- . .:.”...” a .... . .- c ”'9" :::::: °' “ “£83.: . ...: . '5’; 3:89}... ' 3388813": ‘ ' ‘l .. ’, Cg... :::§:§.:I: ::::.. °:::: 1; . .. :.. .zfiéglg m « g 3'9 - 392:1: 1%? 1 1 fl? Egg? ::E :;::::..:" ::... '3 7% ‘ a v a r, ‘- - o o - - ' - - (in) "autumn 39 period: when the plants developed 5 leaves (June 24), when the plants started to flower (June 31), and at harvest date, for Experiment 1. Simi- lar measurements were taken when the plants developed 4 leaves (July 29), when the plants started to flower (August 7), and one week prior to bar- vesting (August 15), for Experiment 2. The measurements were taken on 5-10 randomly selected plants for each plot. (B) Leaf Area Measurements. A method described by Lyon (1948) was used to obtain the leaf area in the field. This method was based on the simple mathematical relationship between the overall length (L) of the leaf and the total area given by the equation: Area = K- L2, where the factor K varied according with the varieties. In cucumber leaves, preliminary investigation showed a great variation according to the size of the leaf, for this reason the equation was modified to include the width (W) of the leaf. Hence, the area of cucumber leaves was obtained using the equation: Area = K- L- W. The factor K was determined for each variety by the following procedure: the leaf area was determined drawing the leaf on a white paper with a xerox copier. The paper was cut along the lines and weighed to the nearest 0.001 gun. The area of the leaf was then obtained by dividing the weight of the paper tracings by the weight of a unit area of the paper. essentially uniform in thickness. After the areas of 25 leaves of all sizes, the factor K in the Area L - W In the field leaf length and width measurements of all the leaves on equation K = was computed for each of the 25 leaves of each variety. 40 5-10 randomly selected plants were taken from each plot. These measure- ments were taken at the same time during the growth period as when the internode length measurements were taken. (C) Harvest Time Determination. Each plot Was judged ready to harvest based on the stage of fruit development. A few fruit were allowed to turn yellow, but the final decision for a given plot was based primarily on the percentage of grade 2 and 3 cucumbers thought to be present. At harvest, all the plants from each plot were pulled by hand to get a plant count, which was used instead of original spacing in further analysis. (D) Sex Expression. At harvest, 50 plants were selected at random to determine sex expression. The criteria to determine sex expression in cucumber plants were based on the terms used by Peterson and Weigle (1958): gynoecious, in which all flowers were female; monoecious, in which male and female flowers were born separately on the same plant; and pre- dominantly female, in which the female nodes outnumbered male nodes by ratios of 3 or 4 to 1 (reverse ratio to that of monoecious). In most cases the predominately female bore all its staminate flowers in the first 4 to 8 nodes. Predominantly female plants were classified as gynoecious. (E) Fruit Grade and Value. The fruits were removed by a stationary harvester and graded using a standard commercial grader. The following grades were used and the value assigned to each grade were as follows: 41 Value per bushel (50 pounds) No. 1, up to 1 1/16 inch in diameter $ 3.00 No. 2, between 1 1/16 to 1 1/2 inch in diameter 1.50 No. 3, between 1 1/2 to 2 inch in diameter 1.00 No. 4, between 2 to 2 l/4 inch in diameter .50 No. 5, between 2 1/4 to 2 1/2 inch in diameter .25 No. 6, greater than 2 1/2 inch in diameter . 125 Gulls, nubs, all fruits misshapen or un- desirable $ . 000 IV. Physiological Measurements (A) Total Solar Radiation. Direct and diffuse total solar radiation measured with a pyrheliometer in gm-cal per cm2 (langleys) on a hori- zontal surface per hour and per day, was obtained from the station located at WU'S farm in East Lansing, Michigan. These measurements are presented in Figure 2. (B) Light Penetration. Two types of radiation measurement were needed for ecological studies of plant growth: The absolute intensity on a horizontal plane above the canopy; and the relative intensities below the canopy, to be related to the vertical distribution of foliage. These two measurements were taken for each plot with a Model SR-Spectroradiometer -2 -l (ISCO) in microwatts per square centimeter per millimicron (nW cm mu ). 42 .qmeoaz @5984 ummm .392 um smousm H0583 .m.D 2.: Eon same .32 .3 53:... 98 a an emotion 6:6 8 5328 5 minofiwcfl 5 mambo“ :23ng ~38 9»de 0333650 .N 8ng 700 600 500 (bmiqohms) 400 300 SAII9NV1 200 100 I! 24 14 II 15 ll ly IO August 44 This apparatus met the requirements suggested by Anderson (1964). In _a plant community, and particularly in a row crop, the horizontal distribution of radiation may be very irregular. To measure mean intensity the instrument should either be small enough for easy move- ment among the plants by hand; or should be large enough to sample a representative area from a fixed position. Therefore, to obtain re- presentative light intensity reading within the canopy, a manually movable sensing head was constructed which allowed several horizontal measure- ments by sliding the head along at one foot distance. (Figure 3). In all cases, light was measured in units of energy rate intensity per band width of each 50 mg in (W cm"2 mu-l within the visible range (400 to 750 mu). A graph of spectral distribution was obtained plotting the light intensity value for 'each 50 mm wavelength. The area under the curve is -2 numerically related to the energy available for photosynthesis in uW cm . (C) Leaf Area Index. The leaf area per plant (mean of 5-10 plants per plot) was multiplied by the total number of plants of the plot to obtain the total leaf area of the plot. This value was divided by the area of the plot to obtain the Leaf Area Index (L). Leaf Area Indices were measured three times during the growth period and were plotted for each day during the entire period of growth. (D) Extinction Coefficient Calculation. The extinction. coefficient (K) Was computed for each variety and for each plant population using the 45 _—i-”,,._.— - - -..-.. Figure. 3. SR-Spectroradiometer (ISCO) with the movable sensing head used to obtain light intensity (in “W cm’2 mu- ) above and below the canopy. 46 In IO-ln 11 L above the canopy, Ii. was the light intensity within the canopy (mean of 6 equation: K = (Saeki, 1959), where 10 was the light intensity measurements) and L was the leaf area index at the time of the light in- tensity readings. The determination of L was obtained from the curve in which the leaf area indices were plotted for the entire period of growth. (E) Photosynthetic Rate Calculations. With the Leaf Area Indices (L) for each day, the extinction coefficient (K), the solar radiation data (10) and using the light/photosynthesis curve for pickling cucumber as developed by McCree and Loomis (1969), the gross photosynthetic rate per day (P) was , Pmax ln ( Io + k calculated by the equation: P = T (10 exp (-KL) + k) ; where Pmax was the maximum photosynthesis, K was the value of irradiance where P/Pmax was 1/2; both values given by the light/photosynthesis curve (Figure 4). Since these values (Pmax and k) were expressed in Watts III-2 hr‘l based on irradiance and the values of (lo) given in gram-calories cm‘2 day'l, the necessary transformations were made using Smithsonian Meteoro- logical Tables (1951). 47‘ 733 .msaooq 98 ooquE 3 893269 £2363 95an 3338558329 mo 29:3 9.3.2; um Em: >3.on 5 85:9 :3 020 .HQP. .4 matumm E8530 H8 usofioomfism 32 mo NEENOU wE 5 commoumxo mfimofifiwmouonm Ho mouwm .4 8&5 ' VWII l .Jlfll.g) _I 'gross mg. brillln'z I"! U o RESULTS I. Relationships Between Cultural Practices and Mogmological Changes in Different Varieties of Pickling Cucumber (A) Internode Length and Number. Experiment 1. The internode length at three stages of growth of two varieties, three plant populations, and three levels of N, is graphically illustrated in Figure 5. The’variety, Spartan Progress, averaged shorter intemodes than Pioneer throughout the season. The number of intemodes were not different between varieties. As the plant population increased, the length of the internode increased (primarily in the lower part of the plant) and the number decreased. These differences were significant at 1% level in most cases during the ngth period. Neither N nor the interactions indicated a significant influence on internode length or number. Experiment 2. The internode length at three stages of growth of three varieties, three plant populations, and two systems of irrigation is graphically illustrated in Figure 6. At first and second observation, the variety, Spartan Progress, had shorter intemodes than Pioneer and MSU 8821, but at third observation the variety MSU 8821 had shorter intemodes than the other two varieties. The number of intemodes was significantly greater in the varieties, Pioneer andMSU 8821, than Spartan Progress, especially at the end of the growing period. The effect of plant population on the internode length and number was 49 50 a? 5. one was 05m H8 Co ”ma 83855 0.3 00:85.5me mo 59.6..— A.ouo: .850 396 5985 one: L35 5853 c5358 2: 265m 855 :39 .983 Lagoon 559 «5.5”. 58 8355.9, oz: Ho 539% HO mowSm 00.5“ um Amnmmum 53 m0 m8 9: 58 360535 Ho .3555: owwuog 5.8 $305 5v 5mg; 25535 .m Sigma .uoo an ‘fi - I — A j— ‘ j J/ [I _/;/J/‘f/j/, -H- /- /_ /- Od- / 21.3.2... u-uc f .r v 0.0 p .a-O 5.3 ans abl88 fiwnfl 25535 80385 50353 9: Beam mon: :89 £589.55 Ho 3888 025 v8 358553 ”.83 85: 8 8035.8.» ooh: mo 538m mo mowmbm omit 8 Amnmmum Han mo Q8 9: d3 $60335 Ho .3555 $888 U8 A8205 5v 5985 55585 .o $ng 54 very similar to that obtained in the first experiment. As the plant population increased, the length of the internode increased and the number decreased significantly. "Mist" irrigation resulted in a marked influence in the length of inter- node, increasing it throughout the growing period, but there was no difference in the number of intemodes, compared with the conventional irrigation. There was a significant interaction between Spartan Progress and irriga- tion. This variety had shorter intemodes in conventional irrigation than in "mist" irrigation, but the reverse occurred with the other two varieties (Figure 7). (B) Leaf Area and Leaf Area Index Experiment 1. Table 1 shows the effect on two varieties of three levels of N and three plant populations on the area of individual leaves, num- ber of leaves, leaf area per plant, leaf area per plot, and leaf area index, at three stages during the growing period. At the beginning of the growing period, the number of leaves, .leaf area per plot and per plant, and leaf area index were significantly greater in Spartan Progress than Pioneer. As the plant population increased the area of individual leaves, the num- ber of leaves, and the leaf are per plant decreased, but the leaf area per plot and the leaf area index increased. These differences were significant throughout the growing season except at the last observation. Effects of N levels were shown only at the end of the growing period. As the level of N increased the area of individual leaves, the number of 55 am: How Gas 98 Axum H0“ Co ”.8 038505 .8 038505 o8. oodmouamfim H0 5964 .300: .350 >85 newcofi 5005.805 cooauon 05053 o5 302m mo5~ :89 5589.55 H0 mEoum>m 030 :53 8505.8.» oonf no 539% mo mowfim ooufi 8 Amnamum .85 m0 000 o5 50v $00535 H0 .5555 om8Ho>o 08 $235 :5 npwdofi 2008805 .5 8&5 .... a(l°.hlu>lov ‘3. a 3" I l¢pudfia 4‘ j ' .-1°.s '8.- Do‘ I IC—Itca v...— IOONIIINI IlOII‘ Hum“) .... a<20.h!u)ZOU '8: 3‘ 'd 8.. C 8(b- Ba 03 a: can can a: can can a: in was a: can 3a a: .35 .84 «.3 uoHQ-oi 3 233.84 «.3 833 no 6.. «ta-d3: ...-22 .1»: n B- 8332.2. 03.— .5uouuc» 50 03003. no 35 no». and." EU Joaa no“ 0305 ...—2:3 «0 8:10:05 a.“ 008 no!" Jinn ...!— oonofl Inna—.0 5 Ion- mcoa Jule.— uoa 005-0.— uo acid .83 u!— Ionon.“ Page. 5 3.8 «03 .H «Ha-u. 58 leaves, the leaf area per plant, the leaf area per plot and the leaf area index increased. There were no significant interactions of the main effects on these characteristics. Experiment 2. The effect of two systems of irrigation, and three plant populations on the leaf area of individual leaves, number of leaves per plant, leaf area per plant, leaf area per plot, and leaf area index throughout the growing period on three varieties are shown in Table 2. Mist irrigation resulted in an increase in area of individual leaves, leaf area per plant and per plot, and the leaf area index. These differences were significant at 5% level only at the end of the growing period. Varieties did not differ significantly except for leaf size. However, at the beginning of the growing period the varieties Pioneer and MSU 8821 had larger leaves, number of leaves and leaf area per plant than Spartan Progress; and NBU 8821 had a larger leaf area per plot and leaf area index than Pioneer and Spartan Progress. At the middle of the growing season the variety, Pioneer, had larger leaves than either Spartan Progress or the MSU 8821; Pioneer also had a larger number of leaves and leaf area per plant then Spartan Progress and MSU 8821; leaf area per plot and leaf area index were higher in Pioneer and MSU 8821 than Spartan Progress. At the end of the season all values were greatest for Pioneer and smallest for MSU 8821. As the plant population increased the leaf size, number of leaves, and leaf area per plant decreased, but leaf area per plot and leaf area index in- creased. 59 .5opu5 55 :- uauoauuaugu c. .5o».5 an .- un-uauaaaum . .55:v5uo:0::u .::5u::0lu:0 noun: 05:0 55 0:: .05 .05 u: :ouu:>u::0: 0u5au 0:: 0::u:: .u0u50 : «0 cc 0: «c «0 cc :0 cc «0 cc .0 .0 a: o .05: no 5:>:0 00.0 00.5 00.0 0.00 0.05 0.0 0.00 5.05 0.05 0.0 5.0 0.5 5.5 5.0 0.5 000.505 50.5 00.5 55.0 5.05 0.05 5.5 5.55 0.50 0.05 5.05 5.5 0.5 .5.5 0.0 5.0 000.005 00.5 50.5 50.0 0.05 5.05 5.0 0.505 5.50 0.05 5.55 5.0 5.0 5.5 0.0 0.0 000.555 853a “3:50 . c .00. no 5.0:: 05.5 00.5 00.0 5.55 0.05 0.0 5.05 5.05 0.55 0.05 5.5 5.0 0.0 5.0 5.0 5500 00: 00.5 55.5 00.0 5.05 5.55 0.0 5.00 0.50 0.05 0.05 5.5 0.5 5.5 0.0 5.0 .0 ::uu:am 05.5 00.5 50.0 5.55 0.05 5.0 0.00 0.00 0.55 0.55 0.5 5.0 0.5 5.0 5.0 u:::050 Nuo5u:> a 0 0 .05: u: 5:9:5 55.5 00.5 50.0 0.55 0.05 5.0 0.55 5.05 0.05 0.55 5.5 0.5 5.0 5.0 0.5 5::05u::»::0 50.5 50.5 05.0 5.05 0.05 0.5 0.00 5.00 0.05 05.55 0.5 5.0 0.0 0.0 0.0 u:5x :05uua5uu5 0:5 0:5 u:5 055 0:5 0:5 0u5 0:5 u:5 0u5 0:5 u:5 0u5 0:5 0:5 u:0:5 ::&< 5::5 00505::94 0:05 0::50\::H< 0::5 :op::5 0: .o- 150::5\::n<.:0:u:&< .nouu-uauuq no :l:u:0: 0:: :o5u:5:0:0 0::50 .nu:5u:» 00 0:uo:00: :: u:0:5 ::u: 0::5 0:: .9050 you ::Ao:5 :u::v: u: 00::05000 :5 :95: 0::5 3‘5.— uoa 3:5 3:90: :5 :3: «:5 5‘5.— ul— 3:5 a: hog: .3 5:0 3:5 95:90: :5 :8: 0:15 .5 050:0. 60 There were no significant interactions. (C) Harvest Date Experiment 1. The number of days from planting to harvest for different varieties, plant populations and N levels are shown in Table 3. The number of days from planting to harvest increased as the plant popu- lation increased. Also, the variety, Pioneer, matured earlier than Spartan Progress. N did not influence maturity in this study. There were no significant interactions. Experiment 2. The number of days from planting to harvest for different varieties, systems of irrigation and plant populations are shown in Table 4. "Mist" irrigation increased the number of days from planting to harvest. As the plant population increased, the number of days from planting to harvest increased. The interaction, irrigation x spacing showed a significant difference at the 5% level, indicating that the number of days from planting to harvest increased as the plant population increases with the conventional irrigation, but not with mist irrigation where only the lowest and highest plant populations were significantly different. The inter- action, variety x spacing was also significant at 1% level indicating that as the plant population increased the number of days from planting to harvest increased in the varieties, MSU 8821 and Spartan Progress, but not in Pioneer. Table 3. Number of days from planting to harvest as affected by variety, plant population and nitrogen level. Variety Pioneer Spartan Progress Level of sig. Plant population 82 , 000 135, 000 188 , 000 Level of sig. Nitrogen levels 0. 0 33. 5 67. O Level of sig. Number of days from planting to harvest 50. 19 51. 19 (X) 49. 17 50. 89 52. 00 (XX) 50. 56 50. 28 51. 22 (x) Significant at 5% level. (xx) Significant at 1% level. 62 Table 4. Number of days from planting to harvest as affected by variety, plant population, and system of irrigation. Number of days from System of irrigation planting to harvest Mist 51. 04 Conventional 50. 4 1 Level of sig. (X) Variety Pioneer 50. 72 Spartan Progress 50. 89 MSU 8821 50. 56 Level of sig. Plant population 117, 000 49. 06 204, 000 51. 11 267, 000 52. 00 Level of sig. (xx) (x) Significant at 5% level. (xx) Significant at 1% level. 63 (D) Sex Expression Experiment 1. The effect of different varieties, plant populations and levels of N on the percentage of gynoecious and monoecious plants is shown in Table 5. The variety, Pioneer, showed a higher percentage of gynoecious plants than Spartan Progress, but this difference was not sig- nificant. As the plant population increased, the percentage of gynoecious plants decreased significantly. With an increase in N level, there is a significant increase in the percentage of gynoecious plants. The interactions of these effects were not significant. Experiment 2. The effect of irrigation and variety on the percen- tage of gynoecious and monoecious plants are shown in Table 6. There was no difference between the effects. of "mist" and conventional irrigation on the percentage of gynoecious and monecious plants. The varieties, Pioneer and IVEU 8821, showed a significantly higher percentage of gynoecious plants than the variety, Spartan Progress. The interaction irrigation x varieties was significant and shows that with theconventional irrigation, the variety, Spartan Progress, had a lower percentage of gynoecious plants than the variety, WU 8821. The data also show that the variety, WU 8821, had the highest percen- tage of gynoecious plants with the conventional irrigation. There were no significant differences with different plant populations. (E) Fruit Set Experiment 1. The total number of fruit per plot, the average 64 Table 5. Effect of two varieties, at three plant populations, and three levels of nitrogen on the percentage of gynoecious and monoecious plants. % Gyno ecious % Monoecious Varieties Pioneer 61. 66 38. 34 Spartan Progress 56. 56 43.43 Level of sig. Plant population 82, 000 65. 51 34. 49 135, 000 59. 24 40. 76 188, 000 52. 58 47. 41 Level of sig. (xx) (xx) Nitrogen levels 0. 0 54. 86 45. 14 33. 5 61.82 38. 18 67. 0 60. 65 39. 35 Level of sig. (x) (x) (x) Significant at 5% level. (xx) Significant at 1% level. 65 Table 6. (a) Effect of three varieties and two systems of irrigation, and (b) effect of three varieties on the percentage of gynoecious and monoecious plants . % Gynoecious % Monoecious (a) Interaction of irrigation x variety Irrigation Variety Mist Pioneer " Spartan P. " NBU 8821 Mean Conventional Pioneer " Spartan P. " MSU 8821 Mean Level of sig. (b) Variety effect Pioneer Spartan P. MSU 8821 Level of sig. 70.57 61.85 68.27 66.90 66.76 59.78 75.94 67.49 68. 66 60. 81 72. ll ** 29.43 38.15 31.73 33.10 33.24 40.22 24.06 32.51 31. 44 39. 19 27. 90 ** (a) *Interactions significant at 5% level. ”Interactions significant at 1% level. (b) * Significant at 5% level. “Significant at 1% level. 66 number of total fruits per plant, and the average number of usable fruits per plant for two varieties in each of three plant populations and three levels of N are shown in Table 7. The total number of fruits per plot, the average number of fruits per plant are a little greater in the variety, Pioneer, than in Spartan Progress, but this difference was not significant. As the plant population increased, the total number of fruit per plot increased, but the average number of total and usable fruits per plant decreased. These differences were sig- nificant at 1% level. As the level of N increased, the total number of fruits per plot and the average number of total and usable fruits per plant increased, but only the total number of fruits per plot was different significantly at the 5% level. There were no significant interactions of these effects. Experiment 2. The total number of fruits per plot, the average number of total and usable fruits per plant for three varieties each at three plant populations and two systems of irrigation are shown in Table 8. The total number of fruits per plot, the average number of total and usable fruits per plant were a little greater with "mist" irrigation than with conventional irrigation, but the differences were not significant. The total number of fruits per plot was highest for the variety, WU 8821, and lowest for the Pioneer variety. The average number of total fruits per plant was similar in the three varieties, but the average number of usable fruits per plant was much higher in the variety, Spartan Progress, than in Pioneer or WU 8821, but these differences were not significant. The interaction, irrigation 67 Table 7. Total number of fruit per plot, average number of total and usable fruits per plant for two varieties in each of three plant populations and three levels of nitrogen. Total number Average number Average number fruit /plot total fruit/plant usable fruit/plant Varieties Pioneer 450. 3 0. 80 0. 46 Spartan Progress 404.. 8 O. 77 0. 46 Level of Sig. Plant population 82, 000 399. 3 l. 10 0. 66 135, 000 418. l 0. 70 0. 37 188, 000 465. l 0. 55 0. 31 Level of Sig. (xx) (xx) (xx) Nitrogen levels 00. 0 377. 4 O. 72 0. 40 33.5 415.2 0.75 0.40 67. 0 489. 9 0. 88 0. 54 Level of Sig. (x) (x) Significant at 5% level. (xx) Significant at 1% level. 68 Table 8. Total number of fruits per plot, average number of total and usable fruits per plant for three varieties each at three plant populations and two systems of irrigation. Total number Average number Average number fruit/plot total fruit/plant usable fruit/plant Irrigation Mist 450. 2 1. 17 0. 68 Conventional 433. 3 O. 95 0. 60 Level of Sig. Variety Pioneer 389. 8 l. 04 0. 56 ~ Spartan Progress 444. 9 1. 16 0. 76 MSU 8821 490. 4 0. 98 0. 59 Level of Sig. (x) Plant population 117, 000 346. 5 1. 32 0. 91 204, 000 445. 7 0. 98 O. 52 267, 000 533. 0 O. 88 O. 49 Level of Sig. (xx) (xx) (xx) (x) Significant at 5% level. (xx) Significant at 1% level. 69 x variety was not significant. As plant population increased, the total number of fruits per plot increased significantly. but the average number of total and usable fruits per plant showed a sharp decrease. The interaction of irrigation x plant population was significant at 5% level indicating that using "mist" irrigation, the number of fruits per plot was higher at low and medium plant populations, but lower than the con- ventional irrigation at high plant population. Also, with "mist" irrigation, it was observed that the average number of total fruits per plant was greater at the low and medium plant populations, but the average number of usable fruits per plant was greater only a low plant population (Figure 8). The interaction of variety x plant population was significant, which indicates that with the MSU 8821, the total number of fruits per plot in- creased significantly as the plant population was increased from a medium to a high density (Figure 9). With the Pioneer variety, the total number of fruits per plot increased significantly as the plant population increased from low to medium density, but showed no further increase at high density. (F) Yield and Relative Value Experiment 1. The yield of six grades of cucumbers, percentage and quantity of nubs, and marketable fruits for each of two varieties in three plant populations with three levels of N are shown in Table 9. l.l t'lLlll 70 .maonflsmom 32m 685 98 aoUmmEfi Ho mEoumzm 025 um Eda Hog Bard 03mm: use :38 Ho .3955 ommnog 98 £03 Hon waded mo Honfisz .w 8ng m. ‘ (OMUI'iGIIIl in. 0 mm . . 2° ‘ .....1000 ummtuo. 2.3% :3: .... ..x 2 2 .333 .31.... $23.. .2: Lin-... “new... ...—.2 «so; .9 boat... .4 400 300 0 w 600 1 0x5 5::0 ucs (mlm) 3x5 .mmfiommm ooufi um mesons; ooufi H8 ouow Hog 8:de 98 boa Hon Bird mo .5952 .o 0.39m $31... 5.4% .9 1...»... .rl . 350 30 250 200 150 (SOIVSMHH ) 383' “d SINV'IJ ‘3 Fianna! 0 Sport" Progress ' MSU lino IIIIIIIIIIIIIIIIIIIIEEIIIIIIII!!IIIIIIII§IIIIIIIII!!\ U 00 O 0 n 10111 “J Sllfll! IJIVHIN 10 O 100 20 1015 MG 10:5 ha Spacingsflnclm) 74 .7»: «a a. uiflufiuam 3 .153 a... u. “...-338: c 3. c c c .3. mo ago.— 6.6~n H.666 6.6“ 6.-a 6.6 n.6u 6.66 a.moa 66.6“ o~.6 o.~6 662 ~63 666 «.86 66 «64 ~66 .33 3.8 36 6.2 ~68 668 666 6.86 66 6.3 6.66 fig :6" 36 6.8 .793 g»; .3. 66 33 ~63 «6% ~66 662 86 6.2 o6~ 662 66.3 3.~ 8663 66: ~68 666 66: 86 6.3 6.2 66$ 3.2 86 6862 «62 6666 66" 66: 86 6.: 6.3 H62 H~.- 86 98.8 non-dag and: c a. .3. mo flab-A 66.3 .68 0.8 663 $6 6.2 2:3 86: 366 86 6 Ian-am ~63 ~68 6.66 6.26 66.~ «.8 66.6 36: No.8 86 ~88: no?» 38>... :8?- u 38?. as": N ..S «42 u ...: «A :73 H as 73: H :3: av 3.18 63¢... :23... 6 896 6 88a 6 895 6 8.8 u 835 H .33 annexan annex-6 Gnu->5 80:3 ...—3?: ...—3?: ...-.933 no 3.53 09.3» 5.“: 38332—2— u!.— 035 5 038..."! on no no: you 33am 0.333»: El .21:— uo Gauge El 0.39.9»!— .3030 no 33.». 53 no 33» .o can-u. 75' Spartan Progress had a significantly greater yield in grades 3 and 4 and a lower yield in grade 6 and fewer nubs than Pioneer. As the plant p0pu1ation increased, grades 3 and 4 and total usuable yield showed a slight non-significant increase. The quantity and relative pertent of nubs was not influenced by plant population. As the N level increased, grades 3 and 4 and the total and usable yield increased significantly, but the percentage of nubs was not affected. The interactions of these main effects were not significant. The value per acre of six grades of pickling cucumbers and the average value per bushel for each of two varieties at three plant populations and three levels of N are shown in Table 10. Neither varieties nor plant populations influenced dollar value, but as N level increased, dollar value increased significantly. The average value per bushel was not influenced by treatment. Experiment 2. The yield of six grades of cucumbers, percentage and quantity of nubs, and marketable fruits for each of three varieties at three plant populations with two systems of irrigation are shown in Table 11. With "mist" irrigation, higher yield of grade 2 and 3, bushels per acre and percentage of nubs, and a higher usable yield than with conventional irrigation was observed. The variety, MSU 8821, had a significantly greater yield of fruits of grade 2 and 3 than either the Pioneer or Spartan Progress varieties. and 76 .6366 66 6.. 663666866 3 .6256 66 66 636666866 6 e c a .96. no 65 ~6 6 6.666 6.6 66 6 S 6.666 6.66 6.66 6.~6 66 6 6 666 6.6 66 6 66 6.666 ~66 6.~6 6.66 66 6 6666 ~.6 6.6 6 66 6.66 6.66 6.66 6.8 6256 $663.66. .66. 66 6256 66.6 ~666 ~.6 66 6 66 6.666 666 6.66 68.666 66.6 ~666 6.6 6.6 6 66 6.666 ~.66 6.~6 666.666 66.6 6.666 ~.6 66 6 66 6.666 6.66 6.66 666.66 8.6866fl 6866 c 2. .66. 66 683 ~66 6.666 6.6 6.6 6.66 6.666 6.66 6.66 .6 Ian-66 66.6 ~.666 6.6 66 6.66 ~.666 666 666 68866 66.3.6.6.» 63:... 5.. 6.6 A ..6~6 6 ..6~6 6.16 6 ...:6 6:6 ..6-6~6 6 ..6~6 6.6666 6 :66: 6v ~36.» 6 36.» 6 36h 6 886 6 886 5:86..» 6 386864» 6 6 836 6 82.6 6 .636 6 836 5.36.. 6 2.836.. 6 8836.» 6 5.33 6 ...-.956.- uo .6956 0'65 2' 33.332.2— 60.66 0965 an .3660? on» no in. .63 deal:— 626 81> .0169»- 05 BI 96.1890 266.306.— uo .396. 66- uo 0.600 .6!— Ifil» .06 canon. 77 .66666 66 66 66666666666 66 .66666 66 66 66666666666 6 N.nNN 0.36 c.0NN 628663280 4‘ 9606:3665 on": a .966 no 62666 663 DE ..6 Sufi—m woo—86.6 5.66.66» 3663.63.66 6666.6; u 366696.666 866696.666 we go»- 25 66 36606.6.» 60.6.66 you 3.33 666163.686 63 6 co 3 6 .666 no 625.6 1ch N.ONQ a.mc o.noN 3.9 n.n N.mn 0.3H n36” a.m.n 8°.NON 9.3N NtnNc Mann N nHN Oh.o HN n.3 flan 0.GN 0.: §63N N.¢MN n.oon 0.3 H mm.— mm..." NAM can n.NHH G6NN n.NN 08.5.: mmwmummumulmmumm .3 £6 66 66 o 66 .666 no 66566 O.NNN 93¢ a me n.N.nN 8 o 0.0 o.nn N.G¢H n.” c.0N HNmmDml N60." H.9NM n on em?" on O n.n nKN 0.: N.NN H.MN .m Sauna c.0HN .108 a QC 5.0:” NM N at: Noun 0.2:. “KN a.m.” HOS-Duh dedudD 6 66 .666 66 66:66 NAHN 0 ohm N.¢¢ “No." 2. .O awe ode H.8N n.0N H.ON 186.6280 N.nNN n 03 £43 N.MON 23° 0.0 inc nanNH can NNH HIE 8.666 .66 ...—0.}; Duodxan N 0.60a\65 A..N\H N :N\H N43" N :63" NIN :NIN\H H :N\H HIQQH .n sodxd NV Adv 3a.: H.009 :3... 0 {duo m 80.60 0 fine n 89.5 N Davina A like 806?: 6.606).: 801:: 0.63on 6.606}.- 0.60:3 .3663“: no gob- 28 5666 28.66.66.62— uSA 0966.6 66 63606.66» 60.6.66 we no: how ouflfiu 66:33.66! v' .21: mo b.6636. El 60393.6!— .ouogoau no oil». 666 no 30.: .6.— (Son. 78 MSU 8821 and Pioneer varieties had a higher yield of grade 4 than Spartan Progress. The Pioneer variety also had more grade 6 fruit than either the Spartan Progress or 'MSU 8821 varieties. The percentage of nubs was lower for the varieties, Pioneer andM'SU 8821 than for Spartan Progress variety, but this difference was not significant. The total and usable yields were significantly higher for the variety, MSU 8821, than for Pioneer and Spartan Progress varieties. As the population increased, the yield in grade 3 and 4 decreased, however, the yield and percent of "nubs" and the total bushels per acre in- creased significantly. Also, as the plant population increased, the number of usable bushels per acre decreased, but not significantly. The interaction of irrigation x variety was significant at the 5% level, indicating that the variety, Spartan Progress, had a lower yield of grade 4 and total and usable bushels per acre than the Pioneer and MSU 8821 varieties with conventional irrigation than with "mist" irrigation,(T able 11). The interactions of variety x plant population were significant at either the l or 5% level, indicating that the variety, WU 8821, had a greater number of bushels per acre of grade 2 and 3 fruit and total usable yield at the lowest and highest, but not at the medium, plant populations than either the Pioneer or Spartan Progress varieties. This interaction is shown in Figure 10. The value per acre of six grades of pickling cucumbers, total value per acre, and average value per bushel for three varieties each at three plant was. 13.3“ m. ...qu, ... i 79 ,4; .maosmgmoa 66663 865 3 $53.69, ooh: mo some .68 muwflou E @606 Hon wig 638 .3393 5 63.66 386m: 138 6.606 .89 3563 .66 15v! . ,. , . I u 4.7. .3 Miami 1035 \ o "660.: 0 Spon- Pugms I HS" III! 515 .... . .....Ilm-ln u¢u< a: u==> :2: 3.32.. :uc a: 3.22; Augvunuc a: :24: 315 300 'L (inches) Spccin gs 81 populations and with two systems of irrigation are shown in Table 12. The results for the value per acre of six grades, and the total value per acre were similar for the interactions and main effect to those of the yield already explained. The interaction of variety x plant population was sig- nificant at 1% level, indicating that the variety, NBU 8821, had a higher total value per acre at the highest plant pdpulation than the Pioneer and ——“—__-tn .A 8 ,W' . p . Spartan Progress varieties. This difference is shown in Figure 10. The average value per bushel was significantly higher for the Spartan Progress variety than for the Pioneer and MSU 8821 varieties. II. Relationships Between Cultural Practices and Nutrient Composition on Different Varieties of Pickling Cucumber. (A) Macronutrients (N, P, K, Ca and Mg). The NO3-N, total N, soluble P, total P, and K for each of two varieties at three plant populations and three levels of N, applied when the flowers began to appear, are shown in Table 13. Before the application of N, the N03 -N content of the variety, Spartan Progress, was higher than that in Pioneer. As the plant population increased, the N03-N content decreased significantly. There were no significant interac- tions between varieties and plant population. Just prior to harvest, the NO3-N and total N were both higher in the variety, Pioneer, than in the Spartan Progress variety. As the plant population increased, total N decreased, but NO3-N did not show a significant decrease, indicating that as the plant population increased the response for N increased. As the N level increased, 82 L n rup .6866 66 66 66666666666 66 .66666 66 66 66666666666 6 6 .666 66 66666 66.6 6.36 66.6 6.6 6.66 6.666 6.66 6.66 68.666 66.6 6.666 66.6 6.6 6.66 6.666 6.66 6.66 86.666 66.6 6.666 66.6 6.6 6.66 6.666 6.66 6.66 86.666 864666666 I666: 6 6 6 6 6 6 .666 «o 66:66 66.6 6.666 8.6 6.6 6.66 6.666 6.66 6.66 6666 66.. 66.6 6.36 66.6 6.6 6.66 6.66 6.66 6.66 66666666 6666666 8.6 6.666 66.6 6.6 6.66 6.36 6.66 6.66 6666666 6666666 6 .666 «0 6666.6 66.6 6.666 66.6 6.6 6.66 6.666 6.66 6.66 66666666686 66.6 6.666 66.6 6.6 6.66 6.666 6.66 6.66 666: 833$: 666666 6666 666 6:666 6 .666 6.666 6 .666 6-6 66-666 6 .666 6.6666 6 :66: 6v 6366» 6 6:66» 6 6666.6. 6 666.6 6 666.66 6 66666 6 66666 6 66666 6 66666 5.6.66.6 6 6686.66.» 6 5.6.66.» 6 6686666.» 6 5.36.6 6 .6836.» 6 .3333: no .666: 25 666.6) 3' 68.666.66.62— u'aa 69.36 66 .6066 66.36663 6936 606 66666.:— .66.— 636» 666.6656 El 6.661865 66.6.3066 «6 66666.66 666 no 6.666 .66.— 6966> .66 66666.6. .6366 66 66 6666666566 66 .6366 66 66 663666366 6 66666666 666666 66666 66. 66666666 66.1.68 66 6.6.66 6666366 66666 66666666 6666666 6 .6686 666666 666 6 8 66666666 66.1.36 66 6.666666- 666666666 6666 636636.66 66366 2.666666 636.6. 6 66 66 .966 .60 66616 «Q o as!" 360 #066 ”N a." nun 8N bed 0.50 on 0 nuts nN‘ co 0 onN nuts and H0" and n6" on 0 n0.« :6 .360 men an:— 3." an" 8H 0.8 Mg: ”mu.“- 6 6 66 6 6 .966 «0 6666.6 n10 36N n90 3.0 can scan 3." an nun 2368A #060 no." :60 no... can no:— hhd men and §6a NM .0 out" 3 6. as .o CON 504 had 3N new g6 «a unis—6N0.“ u'du 6 6 .966 no 66616 «6.0 00..— MN 0 .360 “cu 006d 00." HON 00H 6m .9608 66.6 66.6 66 6 66.6 666 66.6 666 666 666 6666666 M.6.§.> 666 666 8 666 66.5 666 665 66666 66.5 6.6 .666. 66 .666 u .666 6 .666. 6 .666 6 .666 6.66- .666 Elfin-IMP 66666666 6 666666 6B 660 s u 3 u .— ul- 6 6 66 6 63“..ng6686666 fluent 6. 66666 668666.66..- .666666 66666 6..- 666 66 66666 666 66 666666 66.1.86 66 3.666 66669666 3.6 66.36.66 6.. 3| 8 .6 .6 .6 66 3.6.66.6 .66 6666.6 84 NO3-N and total N increased significantly. There were no significant interactions between these effects. Before the application of N, the soluble-P content was inversely related to the NO3-N content. Just prior to harvest, soluble-P and total P were higher in the variety TM ....A'. .. . '- Pioneer than Spartan Progress, but the difference was significant at 5% level only for total P. As the plant population increased, soluble-P and P decreased. There were no significant effects of N levels on the soluble wfl‘T" “ " and total -P content and no significant interactions. K content in the plants did not show any difference between varieties. As the plant population increased, the K content increased significantly. As the N application increased, the K content of the plants increased significantly. Increase in plant population was associated with a significant increase in both Ca and Mg, however, with an increase in N, the Ca content decreased. There were no significant differences in either Ca or Mg contents between varieties nor significant interactions. (B) Micronutrients (Mn, Fe, Cu, B, Zn). Mn, Fe, Cu, B, and Zn values for two varieties each at three plant populations and three levels of N are shown in Table 14. There was a difference between the varieties in Cu and Zn. At high plant populations, the Mn content in the plant was significantly higher. The interaction of variety x nitrogen was significant at the 5% level (Table 14), indicating that in the variety, Spartan Progress, the amount of Zn increased as the N level increased, whereas with the Pioneer variety, 85 .H-puu nu an unuuauuauqm ca .H-pqa an an ua-oauuauam c .3..— uauuoa Du a no .3033 Hi3». no Jib—SI 103 Iowa 031333 3.5.." 2832.... #33. a ..«u no flap-a 3.8 8.8 8.: «93 8.8 93 3.8 8.8 2.: 9.2. 3.2 98 c¢.~n n~.o~ o¢.n~ a«.no no.5" o.oo .35... .8. imp»; « .8. no H83 . .3. go 153 8.8 98 3.: 98 «98 89:: 98 8.: 3.8 98 «93 92 «98 898” 98 93 .m 832.8 3.8 «98 3.3 98 3.2 898 98 98 .m flan-am 9: 98 .m it...» Evian as." 98 l..- nn.~n o.~o uuoaoqm a c .u«. we "up-a 2.8 98 8.8: 98 2.8 93 98 98 .m 88.3 8.8 98 ...-BE 98 «98 9a 93 98 ~88: Hawk-p Nuowug 8392.33 a u Dona» 3 333.. $8. 3 Assay a...“ - Assay Assay Alamo guano Anzac 5 Joy an 58. - Jon .6 £8. 8 J8 a. £8. .33! be no 38.. an 8 31:. won-.30 5 ...-.8 8 2... a .8 .8 .! :33 no 399! .3 83-... 86 Zn decreased with increased N. 111. Relationships Between Cultural Practices, Light Distribution, Physiology of Plant Growth, and Productivity in Different Varieties of Pickling Cucumber. (A) Light Above (10) and Below (11) the Canopy. Experiment 1 and 2. A graph of the light spectral distribution within ‘- --Iflu '.' . 3'5 . -m . I the visible range, above and below the canopy of a pickling cucumber planting with a population of 188,000 plants per acre is presented in Figure 11. The measurements were made on a clear sunny day (August 3) between 10 a.m. and 2 p. m. at Dansville, Mich. (42 1/2 9 N). Above the canopy the spectral distribution of the incoming light intensity showed two peaks: one at 500 ml and the other between 600 and 650 mu. Below the canopy the spectral distribution of the light intensity showed two areas of absorption by the plant canopy, between 450 and 500 mu, and the other between 650 and 700 mu. In both cases, the area under the curve was used to obtain the light energy intensity above canopy (lo) and below canopy (Ii)- (B) Extinction Coefficient Experiment 1. The extinction coefficient for two varieties each at three plant populations calculated from I0 and Ii values are given in Table 15. There were some differences between plant populations within the same variety, bUt there were no differences between the means of varieties. 87 98333 om) .2. .fiwfloaz .2323 a .8d N 98 .E.m 3 595qu $03 .m 3:92 :36 .355. .320 .m no onmE v.33 mEoEousmmoE 05.5 .33 .89 3qu ooodwa 525 @3qu H3835 9:an m Ho .3980 2: 338 was «$83 dousflbmao €50on Em: .2 823m Adouo) moles-l_nw¢.tua SIIDMOJD! w h g n V M 9 o o. a. 9 0 o’ a o o m >3 O-l ml.“ (at: 0 'U 2 3 so... ,_...\ ”21‘ v N °. 9 "3 v- 9 ° Zdouo) SAoqv — rflulijfl3 SHDMOJ‘J! W 0.02 ' Q 150 700 650 600 490 400 Wavelength (mu) 3 89 Table 15. Extinction coefficients calculated for each variety at three plant populations in Experiment 1 (a) and Experiment 2 (b). Variety Plant Population/ acre Extinction coefficient (K)* (a) Pioneer 197, 000 0. 791* * Pioneer 142 , 000 1. 157 Pioneer 81, 000 1. 159 Mean 140, 000 . 1. 036 Spartan Progress 179, 000 0. 864 Spartan Progress 128, 000 1. 100 Spartan Progress 83 , 000 1. 196 Mean 130, 000 1. 032 (b) Extinction coefficient (K)*** Pioneer 240, 000 1. 350* * Pioneer 183 , 000 1. 3 14 Pioneer 99, 000 1. 166 Mean 174, 000 1. 276 Spartan Progress 230, 000 1. 153 Spartan Progress 191, 000 1. 083 Spartan Progress 117, 000 1. 3 12 Mean 180, 000 l. 184 MSU 8821 . 326, 000 1. 499 MSU 8821 ‘ 5‘ 238,000 1.377 MSU 8821 " 136, 000 0. 826 Mean 233 , 000 1. 234 * Calculate)d from 10 and 11 values obtained on August 3 at Dansville, Mich. (42 1/2- N) latitude between 10 a.m. and 2 p.m. ** Mean of three replications. **"‘ Calculated from 10 and 11 values obtained on Au st 5, at the Horticulture Research Center, East Lansing, Mich. (42 1/2- N) latitude between 10 a.m. and 2 p.m. 90 . Experiment 2. Extinction coefficient for three varieties each one at three plant populations calculated from 10 and 11 values are given in Table 15. Again, there was some difference between plant populations within the same variety, but the difference was small between means of the varietiees. In both experiments the extinction coefficient for each variety and for each plant population was used for further analysis. (c) Photosynthetic Rate Experiment 1. Gross photosynthetic rate for two varieties each at three plant populations and three levels of N, during the period of growth, is shown in Figures 12,and 13. The area under the curves are shown in Table 16. In the varieties, Pioneer and Spartan Progress, the area under the curves showed great differences among plant populations, a greater area under the curve in higher plant populations than in lower plant populations. Also, the area under the curve showed some differences between levels of N within the same plant population, especially following N application, i. e. July 24 through August 7 for the Pioneer variety at the high plant population. There was a strong positive correlation (0.9477) between the area under the curve for two varieties at three plant populations, and total yield. There was low correlation between the area of the curve and yield for dif- fe rent N levels. 9'1 .fiaouw mo conned 9: mafia .nowofiE. Ho 36>": 85: 98 28335909 #83 8.3... Us .3985 £33.23 9: H8 Emu oflonamosona mmouo IIIIE‘,HL x k I .. ”a .2 83E ————- High N .------Modium N --ILOW’N PlONElR HIGH PLANI POPUUI ION A :5... in; I: «.5 .83 u: 22:35.; u a 32; 3:33: 2 Q 20 AUOUSY 10 JULY PIONEER POPULATION INIERMEDIATE PLAN! :mo—oxg mmoxu ou—<._=o.:u I A000 87 SPARTAN PROGRESS £01! I NTEMD IATE PLANT POPULATIM mp...— .. t o; :3 :2 .5 "3: 02:32 WEEK 30.; 3:33: ‘ QUOUOY Io SPARTAN PROGRESS IUIV LOW PLANT POPULATION A H . -.A ‘ \ \ \ / a u . . r. u 11v § ’0’ x. u / . u ~ Fl I / to 0 x./ I... a \\ x . .. , a ... a— .. .. p r a I C ...u... .2415 Jag: u~mohoxa wmosu am— can now vuoah HauOu van npuao ozu anon: Iona onu cious-A sscm.0 unlauwuuoou nowuquonuoo 0.H~H 00.n0m use: ms.n~ 00.nmn 0.50H «a.mon 0.ho 000.00H : nn.~e no.ns~ 0.5sn 00.ncn n.nm 000.00H = nh.0u 50.nnu 0.00H n0.0su 0.00 000.ANH .m gnaw-mm n.n«a 05.n0n cum: on.- 0~.00N 0.0NH 50.n0c 0.50 000.00H : -.hn n0.~0~ 0.0HH H0.0on n.nn 000.nHH : nu.0n N0.NOH 0.0NH 0n.~0n 0.00 000.HNH .0 :qu10m 0.00 00.3.” 3* 0~.HN «0.00N 0.no «p.000 0.s0 000.05 : n0.¢~ H0.cs~ 0.n~u uo.n0n n.nn 000.00 = 00.5n «n.00H 0.:0 05.00n 0.00 000.H0 .m nauuQAm 0n.00n nq.00n and: ha.0n 50.0Hn 00.00a n0.aoc 0.s0 000.c0a : 00.0n no.nn« 00.30H ne.0¢c n.nn 000.00N : no.0n 00.th 0n.csa 00.nou 0.00 000.~0~ noonoam 0.nHH nn.onn and: an.nn nH.0¢u 0.0NH nn.uu¢ 0.s0 000.00H : ca.nu 0~.N- 0.5HH n0.snn n.nn 000.~cn = «0.5n 90.05a 0.00H «0.0Nn 0.00 000.0nH uooaoam 0.00 «H.00n ado: 05.Hn 0c.0n~ n.0o 00.00n 0.s0 000.05 : -.nc ~0.NOH n.00 0n.cHn n.nn 000.00 : 50.nu nc.an~ n.5s 50.0Hn 0.00 000.N0 uuonowm 00:9 u can. opuau uuquu AH-uouv Aouoaxundv one. nun huowuub \u9HI> » nuhuouonn one. non auaouuwa nuuuqdanon noon: quad nadnuan Huaouuuvnd aging .niuouuwu mo -H0»0H canny nu«:.vnu .nnowunaanoa aging onus» u. and. .uoauoaunv can you opuao uwuonunhuouoan voauaaondo nova: can. onu can uaau «o cauunuouon .ouuu «.0 cans» window .090. non udoauan Hauoh .oa ganja 96 In some cases the gross photosynthetic rate declined at the end of the growing period, and was likely associated with an increased percentage of malformed fruits (nubs) which reduced the dollar value per acre (Table 16). Experiment 2. Gross photosynthetic rates for three varieties each at three plant populations, with "mist" and conventional irrigation, during part of the growing period is shown in Figures 14 and 15. The area under the curves are shown in Table 17. The area under the curves, for different varieties at different plant populations, had a tendency to increase with the "mist" irrigation as com- pared with conventional irrigation. In the the three varieties, the area under the curves showed great differences among plant populations, especially at the beginning of the grow- ing period, as the plant population increased the area under the curve in- creased. There was a positive correlation (0.4939) among the area under the curves and total yields (Table 17). As in Experiment 1, it was noted that in some cases the gross photo- synthetic rate declined at the end of the growth period. This decline in gross photosynthesis was likely associated with an increase in the percentage of malformed fruits (nubs) that decreased considerably the dollar value, Table 17. 9'7 .02qu wfiaoum of mo “Ham 9:56 :oflmmifi “mu: 52> 98335000 #83 8.1: um :08 $32.52, 85: H8 3.3 ofluonuamouona mmOHU .3 859m — Hugh PP “ModiumRP- ’ ' ‘ 0 0 n w 0 I O ’ v' A G R ‘ R R 2 II E E 0' N S 0 H P . I! It”! 0:. fowl—go. ~..Et~OUav u 0 wb(ao U.wahZ>mObOIm mmOaU Owh(dbud(u IRRIGATION IIST SPARTAN PROGRESS o . ... . . .. :52. .2. we“. do? :3. 25522057: 39.0 82535 A0008? N N" IRRIGATION MIST 7006 l 3519 ISO 0. . a 0 0 0 ....»on 33.51 .83 m~<¢ .w;w1»2>m0»OIa wwOu 0 OE.(.5U0. m0 0 In P». 23 0 3;" as '0 0% v ’I“ p— 0 ~ I 10 00 I 0U ’ O 3' .. ' O 0) ..*‘. '“‘. U 0“. p. (0 ..°' I .e‘ f ‘3 .e‘ I :2 O? .. ’ ( .300; I s - I 0‘. I g on _,."‘ 1’ < 0“. ’I’ U l Iswu 20 23 )0 Aucusv 3 lo Is 10 0 CONVENTIONALIRRIGATION 9 SPARTAN PROGRESS EU 2 .- _ a: ° I; E A P“? LU *0. I o ‘. if I ‘1' 2 g I 5:0 I gs 18° 0‘0 a. e o '0 on "0 8 o I °‘ I o ’00! ” 3 o ...-"T. ’I '2 .r‘ I -' 0" I D o “.... ” g ...0‘ . I, S e ’ '5 mu :0 as 30 auousr s :0 vs :0 CONVTNTIONAL IRRIGATION ... MSU 1006.3519 c r- I z: . N u_. ,9 :5 mo :13 h... 2 a >-_°° ”a .0". 915: 0"". O a. ‘ IO I (LU I 9 I m I 8 ° I a: I o ,’ s . I ... I 1‘. f D U 01 I, .. ,’ < .. ,1 U \"'I. .’ '5 JUl IO 35 )0 ‘UGU 5 lo I! 10 101 .00 000000000000 00 ~30: .300000000 00 0.0050 2.0 000 000000.300.— 030 00000 300000000 00.30 000 3000 H0000 0:0 00.30 000 000.! 00.00 000 000300.— 00000 0900000008 8000000000 I333 :31 000.00 00.000 0.00..” 00.000 000.000 .. .. 050.00 00.000 0.03 00.000 000.000 .. .. 000.00 5.000 0.00 00.30 000.03 000000005000 «000 0000 000.03 :01. 000.00 00.00.— 040." 00.000 000.000 .. .. 30.00 00.03 0.00 00.000 000.30 .. .. 000.00 2.000 0.: 00.000 000.54.." 630000080 0 0000000 000.000 . 3 00.700 00.000 0.00 3.000 000.000 .. = 000.00 .3400 0.00 «0.000 000.00." .. .. 000 . 00 00 .0 0.— 0. N0 .3 .000 000. 0: 1000000280 0000000 000.000 000: 000.00 00.000 0.0.: 00.000 000.000 .. .. «00.00 00.03 0.00 «0.000 000.000 .. .. 000.00 00.000 0.00 00.000 000.000 00.] 0000 00: 000.0: 000! 000.00 00.80 0.000 00.000 000.03 .. .. «00.00 «0.000 0.03 0.0.000 000.0: .. .. 000.00 00.000 0.00 3.000 000.0: 00.0- .0 500000 000.00." 00!- 000.00 0H.00.— 0.00 00.000 000.000 .. .. 00500 00.000 0.03 00.000 000.000 .. : 08.: 3.02 can 3.0% 08.8 SI . 0880.. 0.15 N 0000 2.03 000000 300000 0.30 000 800000.000 000000> 7:00» 0 I0080000 0000 000 8000.390 00 08 000.! 00.04 0.70000 00000 .800000000 00 0800000 25 000 33000902— 03.".— 00000 00 0000 00000000» 00000 000 00.30 00000000000000 0000.301“. 000.! 0000 000 000 .090 00 000090000.— .0000 00.— 300» 00.300 .0000 000 000030 00000. .3 00000. DISCUSSION It is evident that the cultural and environmental factors studied influenced growth and development of pickling cucumber) plants. Varieties showed variable behavior under different practices, which resulted in vari- ations in yields. Supporting previous works (Dearborn, 1936; Nitsch, SEE al_. , 1952; Miller, 1957), N was one of the most important nutritional factors affecting sex expression, fruiting, and yield of cucumbers. N did not influence either the length of intemodes or maturity, but influenced leaf area per plant, sex expression, number of fruit and usable yield. The range of 500 to 700 ppm of N03 -N in cucumber petioles for satisfactory growth (Miller, 1957) was not obtained with the levels of N applied in this. experiment. This suggested that a higher level of nitrogen application might be used in high density stands, under the same climatological and soil conditions. As plant population increased, the need for N apparently increased, but P and K were probably satisfactory, which suggests that N is the most important nutrient in cucumber fertilization at high plant populations. The gross photo- synthetic curve given by the mathematical model presented. showed differences associated with different N treatments. This suggested that N content and changes in chlorophyll content stimulated photosynthetic efficiency Re_r_ it: as previously reported for rice (Murata, 1961) and other crops (Gaastra, 1963; Cowan and Milthorpe, 1968). 102 103 The reduction of plant water stress by the application of "mist" irrigation during periods of high atmospheric stress have been shown by Carolus (1969) for several crops and had a direct affect on growth of cucumber seedlings as indicated by Cuthbert (1966). In this experiment, "mist" irrigation resulted in an increase in the length of intemodes, leaf area per plant, number of fruits, usable yield, and dollar value, but de- layed maturity. "Mist, " compared with conventional irrigation probably reduced the photosynthetic of midday depression, increasing the gross (and probably the net) photosynthetic rate of high density cucumber stands. As plant population increased, important morphological changes occurred in cucumber plants. In this experiment, with increases in plant population the internode length increased, but the average area per leaf, the number of leaves and leaf area per plant decreased; maturity was delayed; average number of usable and total fruit per plant decreased, total yield per area . increased but the quantity of usable yield was not influenced. With a high plant population, the competion for light, with an extinction coefficient of 1. 0-1.2 and an optimum leaf area index of about 3.5, (in con- ditions of high light intensity 700 gm-cal cm”2 hour-1) a decrease in the gross photosynthetic rate at the end of the growing period was caused pri- marily by an excess of leaf area. This resulted in a significant decrease in dollar value associated with an increase percentage of malformed fruit. These results agreed with data obtained by Gilbart (1963) in Cucumis melo. He concluded that leaf area index and photosynthesis during the last two 104 weeks of growth were the most important factors determining fruit size and quality. Varieties behave differently under highly competitive conditions in high plant populations. The variety WU 8821 was apparently more adapted to high plant populations associated with the following characteristics: shorter and more intemodes, larger leaves, greater leaf area per plant and a higher initial leaf area index; but smaller leaves and leaf area, and a lower leaf area index at the end of the growing period. Also, WU 8821 produced a higher percentage of gynoecious plants, total number of fruits per plot (less per plant) with the largest total and usable yeild. The photosynthetic curve showed a close relationship with the characteristics which increased photosynthesis at the beginning and at the end of the growing period. These characteristics were pointed out by Mirthorpe (1956) as most important for increasing efficiency and production of annual crops. The morphological and growth characteristics of MSU 8821 suggest a further study in the architecture of cucumber plants in order to achieve a more efficient light energy trapping variety that will lead to an increase in productivity with high plan: populations. Some of these characteristics have been incorporated into other crops (corn, sugar beet, soybean, rice and cotton) are shorter intemodes, a change in leaf angle and a change in vertical distribution of the foliage. Such characteristics which encourage high leaf area indices and increases the production per unit area, should be pursued in the cucumber. LITERATURE CITED Anderson, M. C. 1964. Light relations of terrestrial plant communities and their measurement. Biol. Rev. 39:425-486. Baker, D. N. , and Musgrave, R. B. 1964. Photosynthesis under field conditions. V. Further plant chamber studies on the effects of light on corn gZea mays, L. ). Cr0p Sci. 4:127-131. Black, J. N. 1963. An analysis of the potential production of swards of subterranean clover (T rifolium subterraneum L. ) at Adelaide, South Australia. J. of Appl. Ecology 1:3-18. . 1963. Interrelations of solar radiation, leaf area index, in determining the rate of dry matter production. Aust. _ J. Agr. Res. 14:20-38. Blackman, F. F. 1905. Optima and limiting factors. Ann. Bot. 19: 281-295. Boyer, J. S. 1965. Effects of osmotic water stress on metabblic rates of cotton plants with open stomata. Plant Physiol. 40:229-234. Briggs, G. E., Kidd, E., and West, C. 1920. A quantitative analysis of plant growth. The Annals of Appl. Biol. 7:202. Brix, H. 1962. 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