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Constraints to effective adoption of innovative livestock production technologies in the Rift Valley (Kenya)
Institution:1. The Northern Institute, Charles Darwin University, Ellengowan Drive, Darwin, NT 0909, Australia;2. Kenya Agricultural Research Institute, Kiboko Research Centre, Makindu 90138, Kenya;3. Bioversity International, Via dei Tre Denari 472/a, 00057 Maccarese, Rome, Italy;4. Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, NT 0909, Australia;1. Fachbereich Physik, Philipps-Universität Marburg, 35032 Marburg, Germany;2. J.M. Burgerscentrum, Delft University of Technology, 2628 CD Delft, The Netherlands;1. Sorbonne Universités, UPMC Université Paris-6 and CNRS UMR 7598, Laboratoire Jacques-Louis-Lions, 75005 Paris, France;2. Institut universitaire de France, France;3. Division of Applied Mathematics, Brown University, Providence RI, USA;4. CMCS–MATHICSE–SB, École polytechnique fédérale de Lausanne, Station 8, CH-1015 Lausanne, Switzerland;1. Los Angeles County Department of Medical Examiner-Coroner, Los Angeles, CA, United States;2. Los Angeles County Chief Medical Examiner-Coroner/Director (Retired), Arcadia, CA, United States;1. Department of Agricultural Economics & Rural Development, Agricultural University of Athens, Iera Odos 75, 11855, Greece;2. Department of Agricultural Economics, Oklahoma State University, Stillwater, OK 74078, USA;1. Wageningen University, The Netherlands;2. Alterra Wageningen UR, The Netherlands
Abstract:We surveyed small-scale farmers in the Kenyan Rift Valley province (Narok and Nakuru districts) to describe constraints to, and changes in, livestock production and to assess the extent to which farmers have adopted new technologies promoted by extension services. In the arid areas of southern Narok, farmers' main constraints were drought and disease. Farmers in Nakuru district, situated in the fertile highlands of the Rift Valley, were also affected by disease but also lacked markets and capital. Although 83% of the farmers had regular contact with extension services that provided advice on new technologies and livestock production innovations, only about half of the respondents implemented the proposed changes. Many of those who did change (38%) improved pasture/nutrition/manure management and relatively few (16%) improved their animal breeding practices. Results of a multinomial logit model revealed that, apart from the significant differences between the two districts, the nature of the advice and the expected outcomes had the strongest influence on the probability of successfully implementing changes to livestock production. The results further suggest that adoption of new technologies is limited by lack of knowledge, inadequate support and a failure to target local needs and conditions and empower livestock keepers.
Keywords:Breeding technologies  Drought  East Africa  Extension services  Kenyan Rift Valley  Livestock production  Multinomial logit model
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