Important Variables Influencing Milk Yields on Smallholder Farms in Western Kenya

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dc.contributor.authorNjehia, Bernard K.
dc.contributor.authorWanjala, S. P. O.
dc.contributor.authorMurithi, Festus M.
dc.date.accessioned2015-05-12T08:31:18Z
dc.date.available2015-05-12T08:31:18Z
dc.date.issued2015
dc.descriptionArticleen_US
dc.description.abstractThis study sought to assess the most important variables influencing milk yields on smallholder farms in Western Kenya, a region with persistent milk insufficiency. Four approaches were assessed on ranking of important variables: Use of farmer focus groups, key informant interviews (pair-wise ranking of variables), beta weights and Product measure (multiple linear regression). The findings showed that all the four methods produced different ranking order. Using a combined weighting system, the most important variables influencing milk yields on smallholder farms were found to be fodder; dairy meal, credit, Artificial insemination, improved research technologies, group membership, policy and economic returns. Collectively, they explained 63.9% of the variance in milk yields in the area (F8, 291= 65.089, p<0.001).We argue that a combined weighting approach appears to be a sharper ranking method in selecting important variables from many components in a value chain system.en_US
dc.description.sponsorshipThe study was facilitated by Kenya Agricultural Research Institute (now Kenya Agricultural and Livestock Research Organization) and funded by East African Agricultural Productivity Project. This paper is submitted for publication with permission from Kenyatta Universityen_US
dc.identifier.citationAsian Journal of Agriculture and Food Sciences Volume 03 – Issue 01, February 2015en_US
dc.identifier.issn2321 – 1571
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/12600
dc.language.isoenen_US
dc.publisherAJAFSen_US
dc.subjectsmallholder farmsen_US
dc.subjectmilk yieldsen_US
dc.subjectimportant variablesen_US
dc.subjectpair-wise rankingen_US
dc.subjectbeta weightsen_US
dc.subjectproduct measureen_US
dc.subjectmultiple linear regressionen_US
dc.titleImportant Variables Influencing Milk Yields on Smallholder Farms in Western Kenyaen_US
dc.typeArticleen_US
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