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irrigation schemes in the study area, further investments are needed to make groundwatermore widely available. Access to groundwater among small farmers can also beimproved by encouraging the development of a more effective groundwater market.The development of varieties more suitable to lowland fields can similarly improvethe chance of adoption of modern varieties in these field types.Concluding remarksFarmers’ risk-coping mechanisms were reasonably efficient in preventing incomeshortfall in the study region. Crop and income diversification away from rice hasbeen the major strategy of farmers for dealing with risk. Because of the low importanceof rice in total household income, risk related to rice production is relativelyunimportant in constraining technology adoption. Accordingly, the trade-off that mayexist between yield gain and stability needs to be carefully considered in designingbreeding programs as farmers in the study villages have been able to reduce riskthrough income diversification.Although methods and tools for microeconomic analysis of risk are generallyavailable, a lack of temporal farm-level data covering enough periods remains a problemfor the analyst. While an ingenious use of cross-sectional data and weather-drivencrop growth models can help in this, temporal data such as the ones collected in thisstudy are essential for conducting a more complete analysis at the farm-householdlevel. Collection of such data would facilitate in-depth analysis of risk and farmers’coping mechanisms.ReferencesAnderson JR. 1995. Confronting uncertainty in rainfed rice farming: research challenges. In:Fragile lives in fragile ecosystems. Proceedings of the International Rice Research Conference.Los Baños (Philippines): International Rice Research Institute. p 101-108.Ballabh V, Pandey S. 1999. Transitions in rice production systems in eastern India: evidencesfrom two villages in Uttar Pradesh. Econ. Polit. Wkly. March 27, 1999. p A11-A16.Feder G, Just RE, Zilberman D. 1985. Adoption of agricultural innovations in developing countries:a survey. Econ. Dev. Cult. Change 33:255-298.Greene WH. 1997. Econometric analysis. 3rd edition. Princeton, N.J. (USA): Prentice Hall.Jodha NS. 1978. Effectiveness of farmers’ adjustment to risk. Econ. Polit. Wkly. 13(25): A38-A48.Pandey S, Pal S. 2000. The nature and causes of changes in variability of rice production ineastern India: a district-level analysis. In: Pandey S, Barah BC, Villano RA, Pal S, editors.Risk analysis and management in rainfed rice systems. Limited Proceedings of theNCAP/IRRI Workshop on Risk Analysis and Management in Rainfed Rice Systems,21-23 September 1998, National Centre for Agricultural Economics and Policy Research,New Delhi, India. Los Baños (Philippines): International Rice Research Institute. p 73-96.Pandey S, Behura DD, Villano RA, Naik D. 2000. Economic cost of drought and farmers’coping mechanisms: a study of rainfed rice systems in eastern India. Discussion PaperSeries No. 39. Los Baños (Philippines): International Rice Research Institute. 35 p.336 Singh et al
Pandey S, Singh HN, Villano RA. 1999. Rainfed rice and risk coping strategies: some microeconomicevidences from eastern India. Selected paper for presentation at the AnnualMeeting of the American Agricultural Economics Association, 8-11 August 1999, Nashville,Tennessee, USA.Pandey S, Singh HN, Villano RA. 1998. Rainfed rice and risk coping strategies: some microeconomicevidences from eastern Uttar Pradesh. Paper presented at the NCAP/IRRIWorkshop on Risk Analysis and Management in Rainfed Rice Systems, 21-23 September1998, New Delhi, India.Siddiq E, Kundu DK. 1993. Production strategies for rice-based cropping systems in the humidtropics. In: Buxton DR et al, editors. International Crop Science 1. Madison, Wis. (USA):Crop Science Society of America.Singh HN, Singh JN, Singh RK. 1995. Risk management by rainfed lowland rice farmers ineastern India. In: Fragile lives in fragile environments. Proceedings of the InternationalRice Research Conference. Los Baños (Philippines): International Rice Research Institute.p 135-148.NotesAuthors’ addresses: H.N. Singh, Narendra Dev University of Agriculture and Technology,Faizabad, India; S. Pandey, R.A. Villano, Social Sciences Division, International RiceResearch Institute, DAPO Box 7777, Metro Manila, Philippines.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.Rainfed rice, risk, and technology adoption: . . . 337
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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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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
Page 280 and 281: indicates the need to deploy broad-
Page 282 and 283: ReferencesBangun P, Pane H, Jatmiko
Page 284 and 285: Socioeconomic characterization
Page 286 and 287: The role of characterizationin ex a
Page 288 and 289: ApproachThe following steps were ta
Page 290 and 291: PriceDS 0S 1P 0P 1dS 0S 1acbD0 Q 0Q
Page 292 and 293: Table 1. Ex ante assessment of rese
Page 294 and 295: Table 2 continued.Ranked byResearch
Page 296 and 297: Table 3. Research resource allocati
Page 298 and 299: NotesAuthors’ address: National C
Page 300 and 301: In addition to the unavailability o
Page 302 and 303: Socioeconomic constraintsFarm sizeF
Page 304 and 305: found that a higher rural labor sup
Page 306 and 307: Table 3. Rice area under HYVs from
Page 308 and 309: Rice varieties in farmers’ fields
Page 310 and 311: Table 9. Constraints for low adopti
Page 312 and 313: 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
Page 320 and 321: P = 0.5 R [a 2 C r2+ 2 a (1 - a) g
Page 322 and 323: and Itgaon, however, the plot-level
Page 324 and 325: espectively, to farmers’ income.
Page 326 and 327: Factors determining the adoption of
Page 328 and 329: mining whether or not modern variet
Page 332 and 333: Using gender analysis in characteri
Page 334 and 335: lytical tool used to identify or di
Page 336 and 337: However, household members have cer
Page 338 and 339: Table 1. Village characteristics of
Page 340 and 341: taking care of dairy cattle. On the
Page 342 and 343: The biophysical environmentThe perf
Page 344 and 345: Table 3. Seasonal calendar and gend
Page 346 and 347: Table 4. Crops grown during the kha
Page 348 and 349: Table 7. Labor input (person-days h
Page 350 and 351: Table 8. Labor input (person-days h
Page 352 and 353: Table 10. Cost and returns of rice
Page 354 and 355: Gender roles in animal husbandryWhe
Page 356 and 357: farm activities, 25% in nonfarm act
Page 358 and 359: for rice but also for cash crops su
Page 360 and 361: Table 15. Access to agricultural in
Page 362 and 363: Hossain M. 1995. Recent development
Page 364 and 365: Agricultural commercializationand l
Page 366 and 367: Conceptual frameworkPopulation pres
Page 368 and 369: tional average of 18% 1 , and most
Page 370 and 371: The Dzao live in medium-altitude ar
Page 372 and 373: Table 1. Selected districts and com
Page 374 and 375: Table 2. General characteristics of
Page 376 and 377: markets for their food needs. With
Page 378 and 379: 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
Page 478:
Wade L. 1998. Nutrient research on
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