Baseline Study of Striga Control using IR Maize in Western Kenya

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Page 5 and 6: Acronyms and AbbreviationsAATF Afri
Page 7: control technologies. Promoting bot
Page 10 and 11: Figure 1.1. GIS maps showing sample
Page 12 and 13: ln(maizeoutput ) = β + β ln(Land
Page 15 and 16: Chapter 2Socioeconomic Characterist
Page 17 and 18: Figure 2.2. Major forms of financia
Page 19 and 20: Another interesting parameter on hu
Page 21 and 22: Chapter 3Crop Production and Produc
Page 23 and 24: Table 3.3. Seed use in NyanzaLong r
Page 25 and 26: Table 3.5. Crop productivity (kg/ha
Page 27 and 28: Chapter 4Striga and Striga Control
Page 29 and 30: N 402 400Uprooting (%) 82.3 86.0Bur
Page 31 and 32: of seed (Table 4.9). For the sustai
Page 33 and 34: Table 5.2. Household income in both
Page 35 and 36: Table 5.3. Logit model estimates of
Page 37 and 38: household members were used for thi
Page 39 and 40: nutritional status of children are
Page 41 and 42: Chapter 6Empirical Analysis of Maiz
Page 43 and 44: Land × Labour β 12-0.011 -0.385La
Page 45 and 46: 50-75 45 53 54 5475-100 29 18 25 24
Page 47 and 48: Table 7.1. Types of development pro
Page 49 and 50: Chapter 8Conclusions and Recommenda
Page 51: promise for unlocking the maize pro

Baseline Study of Striga Control using IR Maize in Western Kenya

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