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dc.contributor.authorMugezi, Israel
dc.date.accessioned2022-12-16T04:25:25Z
dc.date.available2022-12-16T04:25:25Z
dc.date.issued2022-11-30
dc.identifier.citationMugezi, I. (2022). Trade-offs in adoption of Poultry Technologies: A case of peri-urban Kampala district [unpublished masters dissertation]. Makerere University, Kampalaen_US
dc.identifier.urihttp://hdl.handle.net/10570/11133
dc.descriptionA dissertation submitted to the Directorate of Research and Graduate Training in partial fulfillment of the requirements for the award of the Degree of Master of Agribusiness Management of Makerere Universityen_US
dc.description.abstractPoultry production has increased in Uganda over the years in response to the global demand for animal protein. However, the failure rate of poultry enterprises in central Uganda is high, attributed to high costs of production. These production costs and performance of a poultry enterprise differ by poultry technology (poultry type namely Broiler, Layer and Kuroiler and feeding type namely processed and semi-processed feeds). The objectives of this study were to analyse factors that drive farmers’ choice of the different poultry technologies; to assess the economic feasibility of adopting different poultry technologies and to evaluate the impacts of adoption of different poultry technologies on poverty reduction in peri-urban areas of Kampala city, in central Uganda. A multivariate and bivariate probit model were used to determine the factors that drive farmers’ choice of the poultry type and feeding type, while the gross margin approach was used to analyse profitability of the poultry technologies. The Trade- off minimum data analysis model was used to simulate potential adoption rates and the impacts of adoption of poultry technologies on income poverty. Data were collected from 301 poultry farms that engaged in poultry production between 2017 and 2019. The choice of a poultry type depends on price of drugs, experience, employment, selling price of live layer birds, selling price of broiler and layer day-old chicks, membership to a farmer group and education; while the choice of processed feed depends on, experience, selling price of live birds, sex of the enterprise owner and age of the enterprise owner. Annual gross margins per bird were highest with Broilers (9.2%), followed by Kuroilers for egg production (7.2%), then Layer enterprises (5.7%) and least in Kuroilers for meat production (5.5 %). Positive impacts on poverty reduction would be realised with adoption of Layers and Kuroilers for egg production while adoption of processed feeds has positive impacts on poverty reduction only among Broiler farmers.It is recommended that poultry farmers undertaking Layers and Kuroilers for egg production should do so after acquiring some experience from the Broilers or Kuroilers for meat production that have shorter production cycles. Layers and Kuroilers for egg production should be taken on with semi-processed feeds, while feeding for Broilers should be with processed feeds to maximise profitability. Government and development partners should promote Layers and Kuroilers for egg production with small manageable flock sizes while targeting women for better poverty alleviation impacts. Further, Broilers should be promoted among farmers who are starters in poultry rearing while laying birds should be promoted among farmers who have experience in poultry rearing. More research should be done in; the dynamic analysis of profitability where a farmer uses multiple feeding types that combine processed and semi processed feeds; Other alternative feeding options which offer alternative protein sources such as maggots and earthworms; Optimisation studies to find out the minimum flock size by poultry type and feeding type that maximise returns.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectTrade-offsen_US
dc.subjectPoultry Technologiesen_US
dc.subjectPeri-urbanen_US
dc.subjectKampala districten_US
dc.titleTrade-offs in adoption of Poultry Technologies: A case of peri-urban Kampala districten_US
dc.typeThesisen_US


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