On‐Farm Research: Experimental Approaches, Analytical Frameworks, Case Studies, and Impact

On‐Farm Research: Experimental Approaches, Analytical Frameworks, Case Studies, and Impact
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农场研究:实验方法、分析框架、案例研究和影响

DOI:
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发表时间:
2019
期刊:
影响因子:
2.1
通讯作者:
P. Kyveryga
P. Kyveryga
中科院分区:
农林科学3区
文献类型:
--
作者:
P. Kyveryga

文献摘要

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2633 AbstrAct 由于农民、农学家和研究界的兴趣日益浓厚,农场研究正在变得普遍。虽然农场研究的概念并不新鲜,但农民与工业界和大学研究人员合作进行的农场研究的规模和影响力正在扩大。新技术、工具和分析方法正在迅速发展,以扩大农场研究的范围和影响。本期特刊的论文包括利用农场测试来提高非洲和南美洲的经济和环境可持续性,开发新的分析协作框架以更好地总结、可视化和交流研究结果,以及基于贝叶斯分层和多元分析的新分析方法,可用于评估管理、遗传学、土壤和环境之间的复杂关系。还测试了模拟方法,以确定最有效的实验设计和统计参数的估计方法。在所有情况下,农场研究都能提高生产力、改善经济效益、更多地采用保护措施并提高农民的满意度。
2633 AbstrAct On-farm research is becoming widespread due to a growing interest among farmers, agronomists and the research community. While the concept of on-farm research is not new, the scale and influence of on-farm studies conducted by farmers in partnership with industry and university researchers are expanding. New technologies, tools, and analytical approaches are rapidly evolving to advance the reach and impact of on-farm research. Papers in this special issue include the use of on-farm testing to increase economic and environmental sustainability in Africa and South America, the development of a new analytical collaborative frameworks for better summarization, visualization and communication of research results, and a new analytical approaches based on Bayesian hierarchical and multivariate analyses that can be used to assess complex relationships between management, genetics, soils, and the environment. Simulation approaches were also tested to identify the most efficient experimental designs and estimation methods of statistical parameters. In all situations, on-farm research leads to improved productivity, better economics, higher adoption of conservation practice and greater farmer satisfaction.