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Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
Session 6.3 influence of extension methods and approaches in zambia
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Session 6.3 influence of extension methods and approaches in zambia

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  • 1. Influence of extension methods and approaches on adoption of agroforestry practices in Zambia Gillian Kabwe, Hugh Bigsby, Ross Cullen Presented at the World Congress of Agroforestry 10-14 February, 2014
  • 2. Outline of presentation  Background  Methods of data collection and analysis  Key findings  Conclusions
  • 3. Background  Agroforestry technologies have potential to address smallholder farmer challenges (Sanchez, 1995; Cooper et al., 1996; Kang & Akinnifesi, 2000; Franzel et al., 2001; Garrity, 2006; Race, 2009)  Low land productivity  Low crop yields  inadequate fodder for domestic animal feed  Insecure household energy  Lack of cash to meet basic needs  Trialling has been found to low; those adopting often make this part of their operation
  • 4. Trialling and adoption of agroforestry
  • 5. Study methods Multi-stage sampling for selecting farmers Purposeful  sampling of districts and agricultural camps Eight (8) agricultural camps from four (4) districts:  Chadzombe and Kumadzi (Chadiza)  Feni and Kapita (Chipata)  Chilembwe and Mwanamphangwe (Katete)  Chataika and Mondola (Petauke) Random  sampling of households 388 farm families: 57 percent male and 43 percent females
  • 6. Analysis of the data  Adoption measurement at 2 levels  Trialing  Adoption (continued use)  Statistical tools employed  Descriptive statistics  Chi-square tests of independence  Logistic regression analysis  ANOVA
  • 7. Results
  • 8. Information sources [93 percent of farmers (N = 388) were aware of agroforestry]
  • 9. Training in agroforestry
  • 10. Extension approaches (bars represents standard errors of the means according to Bonferroni test, LSD = 0.1814)
  • 11. Extension agents (bars represents standard errors of the means according to Bonferroni test, LSD = 0.1814)
  • 12. Mean score ratings of extension approaches and agents by adopters of improved fallows and biomass transfers
  • 13. To realize agroforestry benefits  More consistent extension effort  Development  Training of unified method of partners in agroforestry  Appropriate programs and policies required

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