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首页> 外文期刊>Journal of Natural Sciences Research >Determinants of High Yielding Wheat Varieties Adoption by Small-Holder Farmers in Ethiopia
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Determinants of High Yielding Wheat Varieties Adoption by Small-Holder Farmers in Ethiopia

机译：埃塞俄比亚小农户采用高产小麦品种的决定因素

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Adoption of high yielding wheat varieties is one of the measures presumed to enhance wheat yield in Ethiopia. However, there are several socioeconomic and institutional factors that limit the adoption of high yielding wheat varieties. The main objective of this study was to identify factors affecting adoption of high yielding wheat varieties in Mao-Komo district of Benishangul-Gumuz, Ethiopia. The study used cross-sectional data collected from sample of 174 farm households selected through two-stage stratified random sampling techniques. Descriptive statistics and econometric models were used to analyze the data. Probit model was employed for adoption analyze of high yielding wheat varieties. The probit model result depicted that land holding size, tropical livestock unit, access to agricultural information, frequency of extension contacts, off-farm income, and perception of farmers toward attributes of high yielding wheat varieties affected the likelihood of adoption of high yielding wheat varieties positively and significantly. But, sex of household heads, and affiliation to organizations had negative and significant effect on the likelihood of adoption of high yielding wheat varieties. The findings suggest that the government and stakeholders should need to focus on improving farm land and livestock productivity, strengthening frequency of extension visits, encouraging participation in off-farm activities, creating reliable information and awareness towards farmers’ perceptions in the area. Finally, further support of high yielding wheat varieties adoption should be given due attention for smallholders.
机译：采用高产小麦品种是埃塞俄比亚提高小麦产量的一项措施。但是，有一些社会经济和制度因素限制了高产小麦品种的采用。这项研究的主要目的是确定影响埃塞俄比亚贝尼桑古尔-古穆兹地区毛-科莫地区采用高产小麦品种的因素。该研究使用了通过两阶段分层随机抽样技术从174个农户样本中收集的横截面数据。描述性统计和计量经济学模型用于分析数据。采用Probit模型进行了高产小麦品种的采用分析。概率模型的结果表明，土地面积，热带牲畜单位，获得农业信息的机会，扩展联系的频率，农场外收入以及农民对高产小麦品种属性的看法影响了采用高产小麦品种的可能性积极而显着。但是，户主的性别和与组织的隶属关系对采用高产小麦品种的可能性产生负面和重大影响。调查结果表明，政府和利益相关者应集中精力改善农田和牲畜生产力，增加推广访问的频率，鼓励参加非农活动，建立可靠的信息并提高对农民对该地区看法的认识。最后，应为小农户进一步重视高产小麦品种的采用。

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