Management of rice production systems to increase productivity

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fatty acids or alcohols as hydrogen donor, and the transmethylation of acetic acid or methyl alcohol by methane producing bacteria (Conrad, 1989). Redox potential is cited as the most important measurable factor for production of CH4 in soils. The redox potential of soil gradually decreases after flooding due to a decreased activity of the oxidized phase and increase activity of the reduced phase (Cicerone et al. 1988; Yagi et al., 1990). Low redox potential (‐200mv) favors CH4 production. The highly anoxic conditions in flooded rice soil support a large methanogenic bacterial population and hence create a large supply of CH4 (Min et al, 1997; Dubey and Singh, 2001). Methane gas evolution from the soil can be greatly reduced if a field can be drained briefly or intermittently (Sass et al., 1992; Lindau et al. 1993; Minami, 1997), as practiced in SRI water management system. Research Objectives and Hypotheses The research objectives are as follows: 1. To identify to best rice seedling age for transplanting 2. To find out if SRI management practice is superior to conventional management practice 3. To find out if the current fertilizer recommended rate for The Gambia, meets the nutrient demand of SRI production 4. To promote SRI management practices on‐farm The research hypotheses are as follows: 1. Transplanting is best with younger seedlings 83
2. SRI will increase rice yields because the SRI management practices are superior to conventional ones 3. Rice yield can be increased with SRI using the current 3.2. Materials and Methods fertilizer recommendations in The Gambia 3.2.1. Trial Location: The Gambia The trial was conducted in eastern Gambia, on the bank of the river Gambia. The farm is part of the Gambia Integrated Rice Development Project. The project cultivates about 3,000 ha of tidal and 620 ha of pump irrigated rice in eastern Gambia. About 10,000 farmers work within this rice irrigation scheme. Rice is double‐cropped except westward where salt intrusion from the Atlantic Ocean becomes a limiting factor. The 1‐part‐per‐thousand salt‐ line is located mid‐way along the river around December, and pushes eastwards, rarely reaching Sukuta in eastern Gambia before the onset of the rainy season in June, except in very dry years such as 1986. 84
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MANAGEMENT OF RICE PRODUCTION SYSTE
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MANAGEMENT OF RICE PRODUCTION SYSTE
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BIOGRAPHICAL SKETCH The author was
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ACKNOWLEDGMENTS The author is indeb
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TABLE OF CONTENTS CHAPTER ONE: RICE
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3.3.2. Effect of Seedling Age at Tr
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Table 10. Grain Yield from Low‐In
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Table 28. Soil Sample Analysis at T
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Table 46. Yield Parameter SRI Ferti
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Figure 10. Grain Yield at Different
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context of food security. As there
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management of soil nutrients and so
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enough fertilizer was available to
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the importation of agricultural inp
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12000 10000 8000 6000 4000 2000 0 4
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The reason for the decline in The G
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2.1. Introduction CHAPTER TWO: LOW
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tend to produce moderately higher y
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available nitrogen and phosphorus r
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Table 3. Soil Test Data from Upland
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flood/drought cycle, which is provi
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educed transpiration due to soil wa
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management practices (dry land/irri
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Sta Cruz et al. (1994) identified d
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2.1.6. Nutrient Dynamics in Tropica
Page 51 and 52: efficiency (Cassman and Harwood, 19
Page 53 and 54: (1) Higher mineralization rate in t
Page 55 and 56: Translocation of N from the vegetat
Page 57 and 58: NUEp = TDM / NPLANT (3) From equati
Page 59 and 60: 4) The NuMaSS can be used to predic
Page 61 and 62: 1. Zero application (Control) 2. Lo
Page 63 and 64: are averages of duplicated assays a
Page 65 and 66: show any significant differences be
Page 67 and 68: Table 8. Low‐Input Upland Rice Tr
Page 69 and 70: stress conditions that prevailed du
Page 71 and 72: Fertilizer Level Variety Grain Yiel
Page 73 and 74: Harvest Index Harvest Index 0.6 0.5
Page 75 and 76: Tissue N (%) Tissue N (%) Tissue N
Page 77 and 78: According to Fukai et al. (1999) hi
Page 79 and 80: NUE(grain) g per g (N) NUE(grain) g
Page 81 and 82: Necessary inputs for the nitrogen m
Page 83 and 84: Determining Crop N: The first step
Page 85 and 86: Hierarchy for NSoil: 1. You will en
Page 87 and 88: e able to access a value from the d
Page 89 and 90: Figure 10. Grain Yield at Different
Page 91 and 92: season, but in the event that major
Page 93 and 94: In many cases, results did not meet
Page 95 and 96: 1995 worked with Malagasy farmers a
Page 97 and 98: 3.1.3. Water Management Water contr
Page 99 and 100: diffusion from the soil‐water int
Page 101: and rewetting of soils as practiced
Page 105 and 106: Three sets of rice nurseries were p
Page 107 and 108: Two rice varieties, IET 3137 and IT
Page 109 and 110: tillering variety, with plant heigh
Page 111 and 112: Gambia prefer bigger seedlings beca
Page 113 and 114: Figure 12. Number of New Roots Re
Page 115 and 116: Seedling Age 5‐Days 5‐Days 10
Page 117 and 118: Table 14. SRI vs. Conventional Prac
Page 119 and 120: The difference in 1000‐grain weig
Page 121 and 122: Variety Inter Space (cm) ITA 306 IE
Page 123 and 124: 104 SRI management practice using 3
Page 125 and 126: fertilizer, but no better panicle f
Page 127 and 128: increase in fertilizer application.
Page 129 and 130: transplanting urea fertilizer was a
Page 131 and 132: 112 Applying just compost alone gav
Page 133 and 134: submerging the 7‐day old seedling
Page 135 and 136: 116 An increase in SRI yields in su
Page 137 and 138: 4.1. General conclusions CHAPTER FO
Page 139 and 140: practices are 2 to 3 times higher t
Page 141 and 142: application. This study has proven
Page 143 and 144: APPENDIX 1: FIELD LAYOUT V. High‐
Page 145 and 146: Table 26. Soil Sample Analysis at H
Page 147 and 148: Low‐Input 40‐40‐40 APPENDIX 3
Page 149 and 150: Table 32. Low‐Input Upland Rice T
Page 151 and 152: Low‐Input 40‐40‐40 Table 34.
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Table 36. Nitrogen‐Use Efficiency
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Table 38. SRI vs Conventional Pract
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Table 40. Grain Yield from SRI Prac
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Fertilizer Level Table 42. SRI Fert
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Table 44. SRI Fertilizer Management
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Table 46. Yield Parameters SRI Fert
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Cabrera, M.L. 1993. Modeling the fl
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148 Dunsmore, J.R., A.B. Rains, G.D
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150 Hassink, J., Lebbink, G. and Va
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152 management in agricultural syst
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154 Root traits to increase drought
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156 emission from rice fields: The
Page 177 and 178:
158 on ammonia volatilization losse
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