首页> 外文期刊>Agriculture, Ecosystems & Environment: An International Journal for Scientific Research on the Relationship of Agriculture and Food Production to the Biosphere >Determination of factors influencing integrated pest management adoptionin coffee berry borer in Colombian farms
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Determination of factors influencing integrated pest management adoptionin coffee berry borer in Colombian farms

机译:确定哥伦比亚农场咖啡果蛀虫中采用病虫害综合治理的因素

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Integrated pest management is promoted in coffee plantations to control pests and disease in a manner less harmful to the environment than the use of pesticides alone. The rate of adoption of these practices is variable, possibly influenced by different social, economic, environmental and institutional factors. This was explored by fitting standard non-linear curves to uptake data for each of four chosen integrated pest management (IPM) recommendations for control of coffee berry borer, Hypothenemus hampei (Ferrari), in Colombian coffee. Logistic curves were shown to be the most efficient for all four recommendations. Logistic regression analysis was then used to determine the impact of different factors upon the uptake of the recommendations singly and in combination. Comparisons are made between the results of the analyses to confirm the choice of the single or combined datasets and the reliability of the models. The results showed that different factors affected the adoption processes at different stages in time for the different recommendations, both when used singly and when in combination. A link was demonstrated between level of education, wealth of the farmer and choice of recommendation, poorer farmers choosing recommendations that did not require a large financial outlay or which required a high level of technological skill. Suggestions for more controlled studies of adoption are presented.
机译:与仅使用农药相比,在咖啡种植园中促进了病虫害综合治理,以对环境的危害较小的方式控制病虫害。这些做法的采用率是可变的,可能受不同的社会,经济,环境和体制因素的影响。这是通过拟合标准非线性曲线来获取的,用于选择四个综合害虫管理(IPM)建议中的每一个来控制哥伦比亚咖啡中的咖啡浆果蛀虫,Hypothenemus hampei(Ferrari)的摄取数据。 Logistic曲线显示出对于所有四个建议而言都是最有效的。然后使用Logistic回归分析来单独或组合确定不同因素对采纳建议的影响。在分析结果之间进行比较以确认选择单个或组合数据集以及模型的可靠性。结果表明,无论是单独使用还是组合使用,不同的因素都会在不同的时间影响不同建议的采用过程。证明了受教育程度,农民的财富和推荐的选择之间的联系,较贫穷的农民选择了不需要大量财务支出或需要高水平技术技能的推荐。提出了关于更严格的收养研究的建议。

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