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植物病理学的元分析:出版模式,方法趋势和潜在的未来方向

Emerson M Del Ponte¹, Jhonatan P Barro¹, Laurence V Madden²

¹Departamento de Fitopatologia, Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil.

|May 21, 2024

概括

在植物病理学中,元分析 (MA) 对于评估疾病控制效应至关重要. 本次审查强调了其日益增长的使用,关于杀真菌剂有效性的关键发现,以及需要改善农业研究报告标准.

科学领域:

农业科学农业科学
生态科学生态科学
植物病理学植物病理学

背景情况:

在农业和生态科学中,特别是植物病理学中,对元分析 (MA) 的采用正在增加.
自1999年以来,一项审查确定了79篇MA论文,其中50%发表在美国植物病理学会期刊上.
该领域展示了一个紧密结合的作者网络,有着有影响力的"枢纽"作者和美洲的地理集群.

研究的目的:

审查自1999年以来在植物病理学研究中对元分析 (MA) 的应用和趋势.
分析作者模式,研究重点和MA研究中使用的方法.
确定在MA报告和现场数据共享方面需要改进的领域.

主要方法:

自1999年以来发表的79篇使用元分析 (MA) 的原始研究论文的系统审查.
对出版场所,作者网络,研究主题 (疾病控制,杀菌剂使用) 和响应变量 (产量,疾病严重程度) 的分析.
检查研究选择标准,统计推理方法 (频率主义者与贝叶斯主义者) 和软件偏好 (SAS,R).

主要成果:

大多数MA专注于疾病控制,主要是杀菌剂效应,测量对产量和疾病严重性的影响.
平均值和未转换的平均值的日志比率是占主导地位的效应大小指标.
频率推断和SAS/R软件是最常见的;研究选择通常遵循系统审查标准,包括来自不同来源的数据.

结论:

超分析 (MA) 在植物病理学中越来越重要,用于量化控制方法对疾病和产量影响的平均值和可变性.
需要继续努力,加强对MA方法的详细报告,促进数据共享,并报告异质性措施.
该领域从结构化的方法中受益,将疾病管理策略的研究综合起来.

关键词:

疾病管理疾病管理流行病学流行病学技术技术技术技术技术

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