The Adoption of Agricultural Technology - Food Security Group

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Box 19. Crop RotationsAdoption of technology for one crop may be affected by interactions with another crop in the rotation. Inthe example below, wheat that is planted after fallow in the Punjab of Pakistan is much more likely to beplanted at the recommended (early) date than wheat that follows cotton, since the cotton harvest canextend into the time for preparing land for wheat. Other practices, such as number of plowings andfertilizer use, tend to differ somewhat between the two systems as well.Major differences in production practices in two cropping patterns in cotton-wheat areas,Pakistan, 1985Wheat after Wheat after SignificancePractice cotton fallow level}Percent planted before 30 Nov.551Percent planted during 1-15 Dec.2731.00Percent planted after 15 Dec.6818Number of piowings and plankings 6.9 8.0 .09Average fertilizer use (kg/ha)Nitrogen 98 86 .09Phosphorus 50 40 .08Number of irrigations 6.0 5.9 .69Average wheat yield (kg/ha) 2,178 2,401 .04Source: Akhtar et al. (1986).50
-51The adoption of technology is influenced by climatic circumstances. In an adoption study in CentralMexico, it was found that barley farmers in a higher rainfall area were more likely to adoptrecommendations than those in a lower rainfall area. In addition, the technological components wereadopted differently in each area. The majority of farmers in both areas adopted improved barleyvarieties, but the use of herbicide and fertilizer was much higher in the higher rainfall area, whereresponse to these inputs was greater. In addition, farmers in the wet zone tended to adopt herbicidebefore fertilizer, while those in the dry zone, where weeds were less of a problem, tended to adoptfertilizer first.Adoption of three technological components in two zones of Central Mexico, 1975 and 1980PiiCiiit Of hlrmerazonetcomponentU8ectln1875~U8ed1n1980Ever used In1980Wet zoneImproved varietiesHerbicideFertilizer767746917462968265Dry zoneImproved varietiesHerbicideFertilizer291114611326611730Source: Byerlee and Hesse de Polanco (1986).
Page 9 and 10: I Chapter 1AdoptionStudiesWhy Study
Page 11 and 12: emphasis on participatory research
Page 13 and 14: of adoption study must be done with
Page 15 and 16: -7some idea of the degree to which
Page 17 and 18: 80 2. tudl Used to Assess Different
Page 19 and 20: Another issue in measuring adoption
Page 21 and 22: Yt and we can estimate K (the maxim
Page 23 and 24: Measuring ImpactEarlier sections di
Page 25 and 26: -17The Role of Adoption Studies in
Page 27 and 28: Bo 3. Variable and Criteria __'_."C
Page 29 and 30: Farmers in Bumbogo, Rwanda grow bea
Page 31 and 32: -23The following graph shows the ac
Page 33 and 34: -25One valuable contribution to ass
Page 35 and 36: 80 1A study of mechanical wheat har
Page 37 and 38: Chapter 3UnderstandingAdoptionThe F
Page 39 and 40: small test of farmers' skills (for
Page 41 and 42: Wealth. Wealthier farmers may be th
Page 43 and 44: degree of adoption may depend on th
Page 45 and 46: conditions of the preceding or foll
Page 47 and 48: equired inputs, then the technology
Page 49 and 50: help in analyzing the degree to whi
Page 51 and 52: Checklist (cont'd.).....FactorBiolo
Page 53 and 54: Box 14. Gender Analysis and Adoptio
Page 55 and 56: Box 16. Labor Availability and Adop
Page 57: 80 1 te Trade-offsFarmers must ofte
Page 61 and 62: -53Box 22. Source of Purchased Inpu
Page 63 and 64: Box 24. Knowledge of Recommendation
Page 65 and 66: services, or markets, it is importa
Page 67 and 68: - SamplingforcomparisonsTn many ins
Page 69 and 70: chosen for the survey will determin
Page 71 and 72: B. Measurements for input use may b
Page 73 and 74: 2. Where did you acquire the seed?1
Page 75 and 76: Cha ter 5MethodsforAnalyzingAdoptio
Page 77 and 78: One of the simplest and most useful
Page 79 and 80: For instance, a survey may show tha
Page 81 and 82: -73Revised[Oxen ownership (A) --.t~
Page 83 and 84: RevisedThe association is tested co
Page 85 and 86: The following example is a simple l
Page 87 and 88: where b o is the constant, b}' b 2,
Page 89 and 90: variables. And a high significance
Page 91 and 92: 1Decision trees are a method of rep
Page 93 and 94: ReferencesAcharya, M., and L. Benne
Page 95 and 96: Jha, D., B. Hojjati, and 5. Vosti.

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