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Asian Journal of Animal and Veterinary Advances

Year: 2013 | Volume: 8 | Issue: 7 | Page No.: 904-913
DOI: 10.3923/ajava.2013.904.913
Bivariate Probit Modeling of Factors Explaining Membership of Farmer Field Schools and Dairy Milk Processing in East Africa
Abayomi Samuel Oyekale

Abstract: The need for ensuring increased production of livestock and its products in East Africa has necessitated integration of informal trainings through FFS on different aspects of animal husbandry. This study analyzed the factors influencing FFS membership and increased dairy milk processing. The data were collected by International Food Policy Research Institute (IFPRI) from FFS and non-FFS farmers using two-stage random sampling approach.Data were modeled with Bivariate Probit. The results showed that 74.37% of the total farmers belonged to FFS, while average number of cattle owned increased from 9.64-12.18. Dairy milk processed increased from 957.65-1085.43 L before and after FFS. Membership of FFS was significantly influenced by education of household heads, land size, realization of income from businesses, while increase in milk processed was influenced by education, number of boys and girls, years with FFS and livestock number. It was concluded that membership of FFS did not promote milk processing and that opportunities for labour saving technologies should be explored.

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How to cite this article
Abayomi Samuel Oyekale , 2013. Bivariate Probit Modeling of Factors Explaining Membership of Farmer Field Schools and Dairy Milk Processing in East Africa. Asian Journal of Animal and Veterinary Advances, 8: 904-913.

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