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Cover crop adoption and intensity on Wisconsin's organic vegetable farms

机译:涵盖威斯康星州有机蔬菜农场的作物收成和种植强度

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Cover crop adoption varies across agroecological contexts, both in terms of the number of farmers using cover crops and in the ways that farmers use them. Most assessments of cover crop adoption treat adoption as a binary variable, rather than as a continuum of practices, and do not use regression analysis to identify the drivers of adoption. In 2014, we surveyed organic vegetable farmers in Wisconsin to assess their use of cover crops in terms of cover crop acreage, species diversity, and complexity of management practices. We also used regression analysis to identify key drivers of cover crop use and assessed farmer and farm characteristics and perceptions of cover crops. Survey results and regression analysis show that cover crops are widely used by Wisconsin's organic vegetable farmers, but acreage, diversity, and complexity of cover crop use varied and have different explanatory factors. Cover cropping extent is negatively correlated with dependence on vegetable revenue, while cover crop species diversity and complexity are positively linked to more educated and experimental farmers. By using different measures of adoption and regression analysis, we can better understand how and why farmers are using cover crops, providing opportunities for improved adoption through research and policy interventions.
机译:在农业生态环境中,无论采用遮盖作物的农民人数还是采用遮盖作物的方式,采用遮盖作物的方式都不同。大多数对覆盖作物收成的评估都将收成视为一个二元变量,而不是实践的连续性,并且不使用回归分析来确定收成的动因。 2014年,我们对威斯康星州的有机蔬菜农户进行了调查,以评估他们对农作物的使用,包括农作物种植面积,物种多样性和管理实践的复杂性。我们还使用回归分析来确定覆盖作物使用的主要驱动因素,并评估了农民和农场的特征以及对覆盖作物的看法。调查结果和回归分析表明,威斯康星州的有机蔬菜农户广泛使用了覆盖作物,但是覆盖作物的种植面积,多样性和复杂性各不相同,并且具有不同的解释因素。覆盖作物的种植程度与对蔬菜收入的依赖程度呈负相关,而覆盖作物的物种多样性和复杂性与受过良好教育和试验的农民正相关。通过采用不同的收养和回归分析方法,我们可以更好地了解农民如何以及为何使用农作物,并通过研究和政策干预措施提供了改善收养的机会。

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