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Probability (%)10080604020VegetativeReproductiveGrain filling0 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5Probability (%)100Vegetative80 ReproductiveGrain filling60402002 3 4 5 2 3 4 5 2 3 4 5Consecutive 5-d drought periodsNumber of 5-d drought periodsFig. 2. Probability of 5-d droughts during thecrop season.Fig. 3. Probability of consecutive 5-d droughtsduring the crop season.5-d droughts can be expected during the grain-filling stage compared with none duringboth the vegetative and reproductive stages.Figures 2 and 3 show the probability analysis of 5-d droughts and consecutive5-d droughts. The probability of two 5-d droughts (not consecutive) during the grainfillingstage is more than 80%. The probability of 10-d and 15-d droughts (two andthree consecutive 5-d droughts) during the grain-filling stage is 73% and 53%, respectively.Thus, a 2-wk period without rain is expected once in two years and can bedetrimental to crop yield.Figures 4 and 5 show a scatter diagram of seasonal rainfall (15 July-15 November)and total numbers of 5-d droughts and consecutive 5-d droughts. There is a faircorrelation (r = 0.56 and significant at the 1% level) between total seasonal rain andtotal number of 5-d droughts. Seasonal rainfall and total number of consecutive 5-ddroughts, however, are uncorrelated.The 50% and 80% dependable 5-d rainfalls for May-November were determinedand are shown in Figure 6, which shows that in the study area little or norainfall is expected after early October. Since early October is the beginning of thegrain-filling stage, the crop is vulnerable to damage by drought.Figure 7 shows the probability of getting the 400 mm of rainfall required fortransplanting at different times at the beginning of the crop season. In an average year(50% probability), the 400 mm of rainfall required for transplanting can be expectedby 15 July. Twice in ten years (80% probability), however, this amount may not beavailable before 15 August and transplanting may be delayed by one month.A water adequacy analysis was carried out for crop field duration by calculatingthe relative water supply using equation 5 in each 5-d period. The average seasonalRWS value at 50% probability, when transplanting is completed by 15 July(average year), is 0.79. This means that, even in an average year, the water supplyfrom rainfall is inadequate to meet the crop water requirement. If transplanting isdelayed because of inadequate rainfall at the beginning of the season (completed afterAgrohydrologic and drought risk analyses of rainfed cultivation . . . 239
Seasonal rainfall (mm)1,4001,2001,0008006004002000Y = 1,083 – 45.17X(r = 0.56; significantat 1% level)0 2 4 6 8 10 12 14 16 18 20Total 5-d drought periodsSeasonal rainfall (mm)1,4001,2001,00080060040020000 2 4 6 8 10 12 14 16 18 20Total consecutive 5-d drought periodsFig. 4. Scatter diagram of seasonal rainfall andtotal 5-d droughts.Fig. 5. Scatter diagram of seasonal rainfall andtotal consecutive 5-d droughts.Rainfall (mm)50403050%80%201005 May 5 Jun 5 Jul 5 Aug 5 Sep 5 Oct 5 Nov5-d periods by monthFig. 6. 5-d rainfall at 50% and 80% probabilities.Cumulative rainfall (mm)80070060050%80%5004003002001000Jun Jul Aug Sep5-d periods by monthFig. 7. Cumulative rainfall at 50% and 80% probabilities.240 Saleh et al
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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
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Jamin JY, Andriesse W. 1993. Discus
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Tools and methodologiesfor biophysi
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Effect of climate, agrohydrology,an
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to water deficit because the crop
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for different periods of the year:
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depth scenarios (shallow, medium, a
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Water table depth (cm)500Shallow wa
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Simulated yield (kg ha -1 )6,0005,0
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Perception, understanding,and mappi
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and rice yield at regional or more
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SubareaSampling sites:GridTransectR
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was approximately 2,000 m with a to
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kg -1 in 50% of the topsoil and sub
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Table 3. Class medians were calcula
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Hard point dataClay, silt, sandHard
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A. Silt (%) B. 0.5 ccdfC. 0.2 ccdf
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In summary, the chosen geostatistic
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elated over slightly longer distanc
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Miura K. 1990. Genetic features of
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Rainfed lowland rice, growing with
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tively. In 1993, following dry till
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Rainfall (mm)Water table depth (cm)
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Saturated hydraulic conductivity (c
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in the uncompacted C0 plots (6.7 wk
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Clay classified≤ 2% 50 ha (2% but
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NotesAuthors’ addresses: D. Harnp
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target area of a breeding program.
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which is calculated from the estima
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hence grain yield. The three major
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ainfall data for each location. Mea
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such as 1980 and 1996, yield was hi
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Table 1 shows the results of the se
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Grain yield (t ha -1 )3UBN 19942103
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decreased with the use of old seedl
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The use of five genotypes with diff
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Mackill DJ, Coffman WR, Garrity DP.
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In rainfed agriculture, crop perfor
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GrainSite Year Code Group yield San
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Criteria considered for selecting r
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Table 1. Characteristics of the ref
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equired as the quality of the repro
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Cooper M, Rajatasereekul S, Immark
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144 Amien and Las
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As Indonesia’s staple food, rice
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Soil and climate of rainfed lowland
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isky when the crop is planted late.
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The decrease in harvested area only
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than in tidal swamp rice, for which
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Monitoring rainfed and irrigated ri
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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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Page 188 and 189: O’Brien DT, Blair G, Lefroy R. 19
Page 190 and 191: Planning and managing rice farmingt
Page 192 and 193: lowlands is submergence-prone. Ther
Page 194 and 195: situations and the allocation of re
Page 196 and 197: estimation of drought were determin
Page 198 and 199: Table 2. Effect of date of sowing,
Page 200 and 201: from October to February and a summ
Page 202 and 203: Table 3. Promising areas for ground
Page 204 and 205: 1. There are possibilities of growi
Page 206 and 207: mmmm450350250150ASoil moisture useS
Page 208 and 209: Table 9. Yield a of preflood ahu (a
Page 210 and 211: Grain yield (t ha -1 )6Farmers’ l
Page 212 and 213: ReferencesIRRI (International Rice
Page 214 and 215: network (Sastry 1976). Temperature
Page 216 and 217: Temperature (°C) and solar radiati
Page 218 and 219: Table 1. Characterization of rainfa
Page 220 and 221: in eastern Uttar Pradesh under norm
Page 222 and 223: fluctuations/variations in rainfall
Page 224 and 225: the desirable rainfall period at 50
Page 226 and 227: The radiation values range from les
Page 228 and 229: not affect the growth and developme
Page 230 and 231: Agrohydrologic and drought riskanal
Page 232 and 233: Analytical procedureThe nature and
Page 234 and 235: late because of low rainfall at the
Page 238 and 239: 15 August), which may happen twice
Page 240 and 241: texture), then once in two years (5
Page 242 and 243: Characterizing biotic stresses
Page 244 and 245: Characterizing biotic constraintsto
Page 246 and 247: included in these studies. Later st
Page 248 and 249: Average number of insects per sweep
Page 250 and 251: Table 2. Categorization of weed and
Page 252 and 253: Table 5. Properties of individual c
Page 254 and 255: ResultsRelations among pests and cr
Page 256 and 257: Start hereInterview farmers todocum
Page 258 and 259: Table 10. Information used to prior
Page 260 and 261: Interpreting the results of indepen
Page 262 and 263: level. Again, we augment our databa
Page 264 and 265: NotesAuthors’ address: Cambodia-I
Page 266 and 267: in soil nutritional status, especia
Page 268 and 269: flora. The range in elevation acros
Page 270 and 271: Table 1. Soil characteristics of th
Page 272 and 273: Table 3. Weed species recorded and
Page 274 and 275: Proportional abundance (log scale)%
Page 276 and 277: 1.0Echi_colCype_iriMoll_penLind_spp
Page 278 and 279: +3.0Echi_cruMars_creEcli_albLept_ch
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Page 282 and 283: ReferencesBangun P, Pane H, Jatmiko
Page 284 and 285: 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
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Table 9. Constraints for low adopti
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vehicle for realizing the untapped
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Parthasarathy G, Prasad DS. 1978. R
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Appendix. Agroclimatic zones of Bih
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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.
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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
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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
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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
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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
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The availability of low-saline irri
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Table 5. Simulation of effects of i
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NotesAuthors’ address: Social Sci
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that they synthesize fragmented agr
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Framework for exploratory and predi
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and quantify the spatial distributi
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Seventeen different agricultural pr
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self-sufficiency in rice production
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al warming since maintaining or cre
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eturns to purchased inputs due to u
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Francisco SR, Navarrete Jr. RL, Dim
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Wade L. 1998. Nutrient research on
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