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NotesAuthors’ addresses: D. Harnpichitvitaya, G. Pantuwan, and D. Suriya-Arunroj, Rice ResearchCenter, Ubon Ratchathani, Thailand; G. Trébuil, Department of Annual Crops, Centrede coopération internationale en recherche agronomique pour le développement (CIRAD-CA), BP 5035, 34032, Montpellier Cedex 1, France. Seconded to Agronomy, Plant Physiology,and Agroecology Division, International Rice Research Institute, Los Baños,Laguna, Philippines; T. Oberthür, International Center for Tropical Agriculture, Cali,Colombia; I. Craig, Land Reform Area Development-AIDAB project for Det UdomDistrict, Ubon Ratchathani Province; T.P. Tuong and L.J. Wade, International Rice ResearchInstitute.Citation: Tuong TP, Kam SP, Wade L, Pandey S, Bouman BAM, Hardy B, editors. 2000. Characterizingand understanding rainfed environments. Proceedings of the InternationalWorkshop on Characterizing and Understanding Rainfed Environments, 5-9 Dec. 1999,Bali, Indonesia. Los Baños (Philippines): International Rice Research Institute.488 p.110 Harnpichitvitaya et al
Modeling water availability,crop growth, and yieldof rainfed lowland ricegenotypes in northeast ThailandS. Fukai, J. Basnayake, and M. CooperCharacterizing and understanding the nature of the limitations imposed byrainfed lowland environments within a target region are important for developingan efficient rice breeding program. Major factors determining the environmentas it influences plant performance are soil properties and wateravailability. Rainfall is a major determinant of the water environment, but itsseasonal variability is high in northeast Thailand. Simulation models are usefulin determining many features of the paddy water environment, as theycan readily estimate water availability as a probability function by using pastrainfall patterns as inputs. The RLRice model was developed for simulatingthe paddy water balance and growth of cultivar KDML105 for the rainfedlowlands in Thailand.The model was used to quantify the water balance of paddies of theseveral locations used in the rainfed lowland rice breeding program in northeastThailand. Yearly variation in simulated yield at any location was relatedto variation in rainfall during crop growth. However, sensitivity analysis resultsshowed that simulated yield varied greatly with changes in componentsof the water balance, particularly the deep percolation rate, lateral watermovement, and initial water level at transplanting. Simulated yield was generallyassociated with the time of disappearance of water relative to flowering,and the depth of the free water level at flowering. The simulation resultsindicate a strong interaction of genotype and water environment through variationin water availability in relation to phenological development of each genotype.Progress in breeding for high-yielding cultivars for rainfed lowland rice is slow inmany countries, partly because genotypic ranking for yield varies greatly in differentenvironments as a result of large genotype-by-environment (G × E) interactions forgrain yield. Often, the G × E interaction variance for yield is several times greaterthan the genotype variance alone in rainfed lowland rice (Cooper et al 1999a). Thelarge interaction for yield is related to the large environmental variation within theModeling water availability, crop growth, and yield . . . 111
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The International Rice Research Ins
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Monitoring rainfed and irrigated ri
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ForewordRainfed rice areas are asso
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AcknowledgmentsIRRI is most gratefu
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2 Singh et al
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development, for example, provision
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subecosystems were recognized withi
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Table 3. Methods commonly used in e
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Table 4 continued.Scale of analysis
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Table 4 continued.Scale of analysis
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This included standard countrywide
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deepwater rice ecosystems. The rese
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Table 5 continued.Main MethodologyC
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Table 5 continued.Main MethodologyC
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Table 5 continued.Main Scale presen
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levels of involvement. For example,
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●●●ecosystem classifications
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Conclusionsclearly that they are di
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IRRI (International Rice Research I
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Widawsky DA, O’Toole JC. 1990. Pr
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Rice is the staple food crop for mo
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first working group to identify the
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TropicsSubtropicsTemperateSummer/wi
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ferred it for wide adoption by farm
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ing, remote sensing, and computing
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ice environments will be needed to
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Insects and diseasesInsects and dis
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The completeness of characterizatio
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Table 7. Levels and scales for agro
Page 60 and 61: Jamin JY, Andriesse W. 1993. Discus
Page 62 and 63: Tools and methodologiesfor biophysi
Page 64 and 65: Effect of climate, agrohydrology,an
Page 66 and 67: to water deficit because the crop
Page 68 and 69: for different periods of the year:
Page 70 and 71: depth scenarios (shallow, medium, a
Page 72 and 73: Water table depth (cm)500Shallow wa
Page 74 and 75: Simulated yield (kg ha -1 )6,0005,0
Page 76 and 77: Perception, understanding,and mappi
Page 78 and 79: and rice yield at regional or more
Page 80 and 81: SubareaSampling sites:GridTransectR
Page 82 and 83: was approximately 2,000 m with a to
Page 84 and 85: kg -1 in 50% of the topsoil and sub
Page 86 and 87: Table 3. Class medians were calcula
Page 88 and 89: Hard point dataClay, silt, sandHard
Page 90 and 91: A. Silt (%) B. 0.5 ccdfC. 0.2 ccdf
Page 92 and 93: In summary, the chosen geostatistic
Page 94 and 95: elated over slightly longer distanc
Page 96 and 97: Miura K. 1990. Genetic features of
Page 98 and 99: Rainfed lowland rice, growing with
Page 100 and 101: tively. In 1993, following dry till
Page 102 and 103: Rainfall (mm)Water table depth (cm)
Page 104 and 105: Saturated hydraulic conductivity (c
Page 106 and 107: in the uncompacted C0 plots (6.7 wk
Page 108 and 109: Clay classified≤ 2% 50 ha (2% but
Page 112 and 113: target area of a breeding program.
Page 114 and 115: which is calculated from the estima
Page 116 and 117: hence grain yield. The three major
Page 118 and 119: ainfall data for each location. Mea
Page 120 and 121: such as 1980 and 1996, yield was hi
Page 122 and 123: Table 1 shows the results of the se
Page 124 and 125: Grain yield (t ha -1 )3UBN 19942103
Page 126 and 127: decreased with the use of old seedl
Page 128 and 129: The use of five genotypes with diff
Page 130 and 131: Mackill DJ, Coffman WR, Garrity DP.
Page 132 and 133: In rainfed agriculture, crop perfor
Page 134 and 135: GrainSite Year Code Group yield San
Page 136 and 137: Criteria considered for selecting r
Page 138 and 139: Table 1. Characteristics of the ref
Page 140 and 141: equired as the quality of the repro
Page 142 and 143: Cooper M, Rajatasereekul S, Immark
Page 144 and 145: 144 Amien and Las
Page 146 and 147: As Indonesia’s staple food, rice
Page 148 and 149: Soil and climate of rainfed lowland
Page 150 and 151: isky when the crop is planted late.
Page 152 and 153: The decrease in harvested area only
Page 154 and 155: than in tidal swamp rice, for which
Page 156 and 157: Monitoring rainfed and irrigated ri
Page 158 and 159: and, indirectly, methane emission f
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Radar backscatter (dB)-7ERS windsca
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ERS SAR imageseries2. RSpreprocessi
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Fig. 6. Supervised classification o
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ConclusionsMonitoring of rice crops
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Characterizing soil phosphorusand p
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Table 1. Area and distribution of s
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Table 2. Lowland area (ha) classifi
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Fig. 1. Extractable soil P map (25%
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Characterizing soil phosphorus and
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Table 4. Recommendations for P appl
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Fig. 4. Extractable soil K map of t
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Fig. 5. Extractable soil K map of t
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● acidic pH (< 6)● low organic
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trials, K recommendations for uplan
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O’Brien DT, Blair G, Lefroy R. 19
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Planning and managing rice farmingt
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lowlands is submergence-prone. Ther
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situations and the allocation of re
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estimation of drought were determin
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Table 2. Effect of date of sowing,
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from October to February and a summ
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Table 3. Promising areas for ground
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1. There are possibilities of growi
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mmmm450350250150ASoil moisture useS
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Table 9. Yield a of preflood ahu (a
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Grain yield (t ha -1 )6Farmers’ l
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ReferencesIRRI (International Rice
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network (Sastry 1976). Temperature
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Temperature (°C) and solar radiati
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Table 1. Characterization of rainfa
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in eastern Uttar Pradesh under norm
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fluctuations/variations in rainfall
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the desirable rainfall period at 50
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The radiation values range from les
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not affect the growth and developme
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Agrohydrologic and drought riskanal
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Analytical procedureThe nature and
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late because of low rainfall at the
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Probability (%)10080604020Vegetativ
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15 August), which may happen twice
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texture), then once in two years (5
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Characterizing biotic stresses
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Characterizing biotic constraintsto
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included in these studies. Later st
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Average number of insects per sweep
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Table 2. Categorization of weed and
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Table 5. Properties of individual c
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ResultsRelations among pests and cr
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Start hereInterview farmers todocum
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Table 10. Information used to prior
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Interpreting the results of indepen
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level. Again, we augment our databa
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NotesAuthors’ address: Cambodia-I
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in soil nutritional status, especia
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flora. The range in elevation acros
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Table 1. Soil characteristics of th
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Table 3. Weed species recorded and
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Proportional abundance (log scale)%
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1.0Echi_colCype_iriMoll_penLind_spp
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+3.0Echi_cruMars_creEcli_albLept_ch
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indicates the need to deploy broad-
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ReferencesBangun P, Pane H, Jatmiko
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Socioeconomic characterization
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The role of characterizationin ex a
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ApproachThe following steps were ta
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PriceDS 0S 1P 0P 1dS 0S 1acbD0 Q 0Q
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Table 1. Ex ante assessment of rese
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Table 2 continued.Ranked byResearch
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Table 3. Research resource allocati
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NotesAuthors’ address: National C
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In addition to the unavailability o
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Socioeconomic constraintsFarm sizeF
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found that a higher rural labor sup
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Table 3. Rice area under HYVs from
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Rice varieties in farmers’ fields
Page 310 and 311:
Table 9. Constraints for low adopti
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vehicle for realizing the untapped
Page 314 and 315:
Parthasarathy G, Prasad DS. 1978. R
Page 316 and 317:
Appendix. Agroclimatic zones of Bih
Page 318 and 319:
such that losses are reduced during
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P = 0.5 R [a 2 C r2+ 2 a (1 - a) g
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and Itgaon, however, the plot-level
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espectively, to farmers’ income.
Page 326 and 327:
Factors determining the adoption of
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mining whether or not modern variet
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irrigation schemes in the study are
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Using gender analysis in characteri
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lytical tool used to identify or di
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However, household members have cer
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Table 1. Village characteristics of
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taking care of dairy cattle. On the
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The biophysical environmentThe perf
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Table 3. Seasonal calendar and gend
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Table 4. Crops grown during the kha
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Table 7. Labor input (person-days h
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Table 8. Labor input (person-days h
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Table 10. Cost and returns of rice
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Gender roles in animal husbandryWhe
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farm activities, 25% in nonfarm act
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for rice but also for cash crops su
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Table 15. Access to agricultural in
Page 362 and 363:
Hossain M. 1995. Recent development
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Agricultural commercializationand l
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Conceptual frameworkPopulation pres
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tional average of 18% 1 , and most
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The Dzao live in medium-altitude ar
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Table 1. Selected districts and com
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Table 2. General characteristics of
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markets for their food needs. With
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ther “extensification” in the u
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the productivity of lowland rice ca
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Boserup E. 1981. Population and tec
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Economics of intensive rainfed lowl
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Area (ha)50,00040,000Irrigated30,00
Page 388 and 389:
The economic characterization and i
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Table 1. Rice varieties planted (19
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Table 4. Yield and input use of maj
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TFP, output and input indices200160
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Lynam JK, Herdt RW. 1989. Sense and
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406 Garcia et al
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Increased rice production had alway
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Table 1. Total rice area, average y
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use of water by avoiding seedbed pr
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water often brought with it a varie
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Table 4. Distribution of farm house
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Soil types found in the villages we
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Table 10. Ownership of agricultural
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in a group) at the rate of $60 per
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Table 13. Pattern of loan use (% of
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Labor and employmentTable 16 presen
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Table 17. Incidence of child labor
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Cumulative proportion of income1.04
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Table 21. Cost and return analysis
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Table 22. Estimated rice yield and
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were often burned for disease contr
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landless population reaching 50-60%
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Integration of biophysical andsocio
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opinion regarding what socioeconomi
Page 436 and 437:
1995-96 Rice production (t)TvRd6Rd1
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Farm-gate price of agricultural goo
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ming the distance of all line segme
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Description of the study areaWe com
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Table 1 continued.Variable Unit1994
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CambodiaFig. 4. Main transport rout
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Table 2. Accessibility indicators f
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ice and the model is applied to exp
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Table 3. Summary of estimates of la
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estimation of a system of multinomi
Page 456 and 457:
The availability of low-saline irri
Page 458 and 459:
Table 5. Simulation of effects of i
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NotesAuthors’ address: Social Sci
Page 462 and 463:
that they synthesize fragmented agr
Page 464 and 465:
Framework for exploratory and predi
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and quantify the spatial distributi
Page 468 and 469:
Seventeen different agricultural pr
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self-sufficiency in rice production
Page 472 and 473:
al warming since maintaining or cre
Page 474 and 475:
eturns to purchased inputs due to u
Page 476 and 477:
Francisco SR, Navarrete Jr. RL, Dim
Page 478:
Wade L. 1998. Nutrient research on
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