Analysis on Determinants of Adoption of Improved Wheat Technology in Liben Jewi District, Oromia Region, Ethiopia
International Journal of Applied Agricultural Sciences
Volume 6, Issue 3, May 2020, Pages: 36-43
Received: Apr. 21, 2020; Accepted: May 7, 2020; Published: May 28, 2020
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Author
Milkias Dawit Kebede, Ethiopian Institute of Agricultural Research/EIAR/, Ambo ARC, Ambo, Ethiopia
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Abstract
Ethiopia is the second largest wheat producer in sub-Saharan Africa, after South Africa. In Ethiopia, wheat ranks fourth in total cultivated area and production. This study applied logit regression to examine determinants of adoption of improved wheat varieties in the Liban jewi district of West Showa zone Oromia region Ethiopia. The objective of the study is to analyze determinants that affect adoption of improved wheat varieties which exert significant influence on the adoption behavior of sample respondents in the study area. A total of 154 sample respondents drawn from 6 PAs of the district included in the survey. The model result shows that the adoption of improved wheat varieties by respondents in the study area was positively and significantly affected by farm size, livestock ownership, extension contact and access to credit, whereas, age of respondents, distance from market and distance from farmers training center had negatively and significantly influenced adoption of improved wheat varieties in the study area. The result underscores the need for research and extension programs to be sensitive to the needs of farmers when developing and disseminating technologies that are relevant to their agro-ecologies.
Keywords
Adoption, District, Logit, Technology
To cite this article
Milkias Dawit Kebede, Analysis on Determinants of Adoption of Improved Wheat Technology in Liben Jewi District, Oromia Region, Ethiopia, International Journal of Applied Agricultural Sciences. Vol. 6, No. 3, 2020, pp. 36-43. doi: 10.11648/j.ijaas.20200603.12
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Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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