<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="Research Article" dtd-version="1.0"><front><journal-meta><journal-id journal-id-type="pmc">iarjals</journal-id><journal-id journal-id-type="pubmed">IARJALS</journal-id><journal-id journal-id-type="publisher">IARJALS</journal-id><issn>2708-5104</issn></journal-meta><article-meta><article-id pub-id-type="doi">https://doi.org/10.47310/iarjals.2020.v01i02.021</article-id><title-group><article-title>Perceived Determinants of Milk Production among Small Scale Farmers in Kandara Sub-county, Kenya</article-title></title-group><contrib-group><contrib contrib-type="author"><name><given-names>GilbertAbura</given-names><surname>Odilla</surname></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>MaryanneBetsy</given-names><surname>Usagi</surname></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><given-names>BethWangari</given-names><surname>Kamau</surname></name></contrib></contrib-group><aff-id id="aff-a" /><abstract>Dairy farming remains a major source of livelihood to rural population in Kenya. Despite the growth and development in dairy sector over years, the level of milk production is low in Kandara Sub- County. This research aimed at determining the factors associated with low milk production among small scale farmers in the Sub- County. The research adopted a descriptive survey design to gather data from the sampled small-scaled dairy farmers. Stratified random sampling method was used to obtain a sample size of 90 dairy farmers from the target population of 1000 farmers in the Sub- County. A structured questionnaire was used to collect data. Data were analyzed by use of SPSS version 16.0 and summarized using descriptive statistics. Results showed that financial constraints were perceived to greatly affect milk production. Even though a majority (47.8%) of dairy farmers incurred expenses of more than Kshs 10,000, it is only 31.1% of the farmers who earn above Kshs 10,000 annually from the dairy enterprise. The study revealed that most of farmers (50%) depended on other farming business to support dairy farming. The level of milk production was also thought (50%) to have been affected by lack of adoption of appropriate management practices. The results also showed that many of the farmers (73.4%) had not adopted modern dairy technologies meant to boost milk production. However, majority (96.7%) of the farmers had adopted atleast one form of technology although in some there was observed low adoption due to the associated high cost. To boost milk production in the Sub- County, more farmer extension contacts are needed to allow dissemination and subsequent adoption of the technologies that could boost milk production. Extension agents need to link farmers to better milk market that can fetch farmers’ better prices. This would improve income generation and subsequently result in increased adoption of recommended management practices.</abstract></article-meta></front><body /><back /></article>