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Table 9. Number and types of livestock owned by the monitored farmers, Pumdi Bhumdi, Kaski District (1988-89). Types of Livestock Male buffalo Female buffalo Cows Bullocks Buffalo calves Sheep and goats Chickens Others Average number/ farm Intervened farm Controlled farm Types of breeds Local Local * Local Local Local Local * a~ses: 1 = for home consumption, 2= for exchange, 3 = for sale. *Data not available. Average breeds Types of brceds Local Local Local Local Local Local Local * Breeding 1+2+3 1 1+2+3 1 1 +3 1 *
Table 10. Production and use of milk by monitored farms, Pumdi Bhumdi, Kaski District, Nepal (1984-85 and 1988-89). Milk production and activities Intervened Controlled farm farm 1984-85 1988-89 1984-85 1988-89 Average milk sale (liter) 78 1 927 809 845 per farm Average income (NPR)/farm 4,725 8,215 5,153 6,560 Table 11. Fodder and forage production at Pumdi Bhumdi, Kaski District, Nepal (1988-89). Name of the fodder/ Average farm area Average farm area Types of farms forage grass before FSP (ha) after FSP (ha) Intervened Napier grass Oats Controlled Napier grass * 0.06 Oats * 0.11 * Data not available.
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IRRl DISCUSSION PAPER SERIES NO. 15
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RECEIVED I RECU .- r b :'.i!~atlon
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Welcome address S .P.R. Weerasinghe
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Welcome Address S. P. R. Weerasingh
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Opening Comments After 15 yr of far
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increased as well, but only nlargin
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esult in high incomes for farmers,
Page 15 and 16: Investor concerns Usually investors
Page 17 and 18: WORKSHOP OBJECTIVES This workshop i
Page 19 and 20: Rice is the major food crop and die
Page 21 and 22: esource use and productivity varies
Page 23 and 24: Determination of ado,)tion factors
Page 25 and 26: number of active family members per
Page 27 and 28: At both sites, more than 73% of the
Page 29 and 30: Hossain A M, Nur-E-Elahi, Nazrul I
Page 31 and 32: Table 2. Crop varietal sequence sco
Page 33 and 34: Table 4. Correlation illatsix used
Page 35 and 36: - Table 6. Socioeconomic characteri
Page 37 and 38: Table 8. Extent of adoption and ave
Page 39 and 40: Table 10. Resource use and producti
Page 41 and 42: Table 12. Extent of adoption and di
Page 43 and 44: Table 14. Summary of per hectare ca
Page 45 and 46: IRlPACT OF FARMING SYSTEMS RESEARCH
Page 47 and 48: new information collected during FS
Page 49 and 50: average family owns seven heads of
Page 51 and 52: H Horticulture. To have a more regu
Page 53 and 54: improved varieties require higher l
Page 55 and 56: The types of the training provided
Page 57 and 58: extension agency in the district, t
Page 59 and 60: m Extension and other production-su
Page 61 and 62: Table 3. Farm characteristics of th
Page 63 and 64: Table 6. Farm practices and product
Page 65: Table 8. Major crops, crop varietie
Page 69 and 70: Table 13. Major problems and constr
Page 71 and 72: Table 15. Training undergone by the
Page 73 and 74: Table 17. Links between farmers and
Page 75 and 76: ----l CROP SUBSYSlLM rnurt L OTT tb
Page 77 and 78: West Java provincial le~el BACKGROU
Page 79 and 80: OBJECTIVES The specific objectives
Page 81 and 82: Labor requirement Labor requirement
Page 83 and 84: system models. This indicated that
Page 85 and 86: Unit prices for all items were obta
Page 87 and 88: Price elasticity. The demand for al
Page 89 and 90: district fishery extension services
Page 91 and 92: Table 2. Production of freshwater f
Page 93 and 94: Table 4. Level of inputs used in ea
Page 95 and 96: Table 6. Labor requirement for each
Page 97 and 98: able 8. Income analysis of each FS
Page 99 and 100: Table 10. Nonfood expenditure patte
Page 101 and 102: Table 12. The value of assets (IRP
Page 103 and 104: Table 15. Nonfood expenditure patte
Page 105 and 106: Table 17. Elasticities of food comm
Page 107 and 108: l Oct k Jan Feb Mar Apr May Jun Jul
Page 109 and 110: From 1980 to 1986, the Integrated R
Page 111 and 112: THE 1'\VO ;MATURE TECHNOLOGIES Dire
Page 113 and 114: Conceptual framework STUDY METHODS
Page 115 and 116: Tai. Mungbean was introduced in Dok
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Land preparation for rice. The reac
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price of mungbean was high, some fa
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manufacturers. The earlier models (
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Net farm income per household The a
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that although adopters were better
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W It produced a good stand of rice
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Table l. The promising technologies
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Table 3. Mungbean before rice areas
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Table 5. Number of farm households
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Table 7. Area planted to mungbean,
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Table 9. Area planted to mungbean,
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Table 11. Area under dry seeded ric
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continued.. . Table 12. Socioeconom
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continued.. . Table 12. Socioeconom
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l~ndicative figures only. '~ature t
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composition, increases in income ca
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not be captured if the criteria for
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crops (rice, maize, and mungbean) a
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The explanatory Lwiable, nitrogen (
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of the ratio of actual intake and r
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Farming Systems Research and Extens
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Table 3. Input levels and productiv
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Table 5. Comparison of annual house
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Table 7. Comparison of annual nonfo
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Table 9. Comparison of percentage p
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Table 11. Log-linear models of impa
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INSTITUTIONALIZING THE FARILIIIVG S
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agricultural production system by i
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In the midwest plain, where there a
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Varietal irnprovernent. This compon
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solutions to problems under the bas
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Table 2. Rice farming systems in Ca
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Table 5. Component-technology studi
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Wangwacharachul (1984) examined the
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household basis on an income and ex
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first crop. In 1989-90, the adopter
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Nonfarm expenses constituted the bu
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Herbicide is essential for DSR. How
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o The classification of farmers on
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Table 1. List of \,ariables idc~l~l
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Table 3. Conlparison of cash flow o
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Table 5. Level of input use for the
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Table 7. Production elasticities of
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FROXl GREEN REVOLUTION TO FARhlING
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ainfed areas. The RIARS project app
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stability and sustainability. 1nsti
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o Limited feedback at all levels. A
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Table l. Chronological sequcnce of
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Table l. Chronological sequence of
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Impact studies A number of studies
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some simple statistical tests to as
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assets). Patterns of food consumpti
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Production functions for first-seas
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and nonadopters indicate that there
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E~zdowr~tcnt of l~ouselrol~f assets
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variety, inadequate attention was p
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Table 1. Farming system research si
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Table 4. Comparison of levels of in
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Table-6. Compariso~i of le\.els of
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Table 9. Estimated production funct
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Table 11. Factor shares of first-se
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Table 13. Factor slirlres of third-
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Table 15. Endownlent of farm assets
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IAIPACT ASSESShlEhT OF FARMING SYST
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Depending on the adequacy of rainfa
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Demograpllic cllaractehtics. The co
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The major farm implements owned by
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Effect of RWCS on household cash fl
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Table 1. Average cash expenses per
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Table 5. Selected clia~~acteristics
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Table 7. Comparative pcrforinance o
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hiem bers Discussion and Recommenda
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Guideline 4: FSR impact projects sh
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hlem bers o The need to improve doc
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Members what is right depends on po
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Decentralization and farming system
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o More program and less project fun
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Bangladesh Mr. RaGqul Islam Banglad
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Dr. N.F.C. Ranawecru Di\ision of .-
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CFTSSF CLSU CSD CSSAC CVIADP CVRP-I
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PIADP PCA PCARRD PHARLAP PSC PTA RA
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Production Team Editor : Michael Gr
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