首页> 外文期刊>Universal Journal of Agricultural Research >A Logit Analysis of Farmer Knowledge on Rice Blast Disease Pyricularia grisea [Cook, Sacc] at Mwea Irrigation Scheme, Kirinyaga County, Central Province, Kenya
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A Logit Analysis of Farmer Knowledge on Rice Blast Disease Pyricularia grisea [Cook, Sacc] at Mwea Irrigation Scheme, Kirinyaga County, Central Province, Kenya

机译:肯尼亚中部省Kirinyaga县Mwea灌溉计划农民对稻瘟病稻瘟病菌[Cook,Sacc]知识的Logit分析

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In Kenya rice is the third most important cereal crop after maize and wheat. However production is constrained by rice blast disease (Pyricularia grisea (Cooke) Sacc). In order to develop viable pest management practices for rice blast disease we need to understand rice farmers' knowledge of the disease. A study was set up to determine the level of farmer knowledge on rice blast disease. A formal questionnaire was administered to a random sample of 119 farmers at Mwea irrigation scheme on 17-22 February 2011. Farmers were requested to provide information about rice, its importance and rice blast disease. Logit regression model was used to identify factors which influence farmer knowledge of rice blast disease. Logit analysis revealed that age had significant influence on rice blast disease knowledge (p<0.001). Rice cultivation as the sole occupation of household head significantly influenced rice blast knowledge (p<0.001). Rotavating for other farmers (p=0.02), being a casual labourer (p=0.024) agricultural training (p=0.001) and being a man (p=0.001) had significant influence on rice blast knowledge. The implications of this on dissemination of rice blast disease information are discussed in this paper.
机译:在肯尼亚,水稻是仅次于玉米和小麦的第三重要谷物作物。但是,生产受到稻瘟病(稻瘟病菌(Pyricularia grisea(Cooke)Sacc))的限制。为了制定针对稻瘟病的可行害虫管理方法,我们需要了解稻农对这种疾病的了解。进行了一项研究,以确定农民对稻瘟病的了解程度。 2011年2月17日至22日,在Mwea灌溉计划中对119名农民进行了随机抽样调查,要求农民提供有关水稻,水稻的重要性和稻瘟病的信息。 Logit回归模型用于确定影响农民对稻瘟病知识的因素。 Logit分析表明,年龄对稻瘟病知识有显着影响(p <0.001)。水稻种植作为户主的唯一职业大大影响了稻瘟病知识(p <0.001)。轮流换其他农民(p = 0.02),做临时工(p = 0.024),农业培训(p = 0.001)和做人(p = 0.001)对稻瘟病知识有重要影响。本文讨论了这种方法对稻瘟病信息传播的影响。

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