Methods of yield stability analysis in long-term field experiments. A review
Methods of yield stability analysis in long-term field experiments. A review
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长期田间试验产量稳定性分析方法。
DOI：
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发表时间：
2021
影响因子：
7.3
通讯作者：
T. Döring
中科院分区：
文献类型：
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作者：
Moritz Reckling;H. Ahrends;Tsu;W. Eugster;S. Hadasch;S. Knapp;F. Laidig;A. Linstädter;J. Macholdt;H. Piepho;K. Schiffers;T. Döring
面对不断变化的气候，产量稳定对农民和育种者来说变得越来越重要。长期田间试验（lte）产生的数据集可以量化不同农艺处理的稳定性。然而，目前尚无普遍接受的评估ltte产率稳定性的指南。选择的多样性妨碍了结果的可比性，降低了结论的可信度。在这里，我们回顾并提供了在分析lte产率稳定性时最常见的方法问题的指导。我们在个别章节中建议和讨论的要点如下：研究人员应该(1)在分析lte产率稳定性时，使数据质量和方法方法尽可能透明；(2)异常值的检验和处理；(3)调查统计模型中存在的潜在混淆因素，并将其包括在内；(4)探讨产量数据趋势化的必要性；(5)必要时考虑时间自相关；(6)对稳定性措施进行明确选择，并考虑一些措施之间的相关性；(7)考虑并说明稳定措施对平均产量的依赖性；(8)探索稳定性的时间趋势；(9)尽可能报告稳定性措施的标准误差和统计推断。对于这些问题，我们讨论了各种方法方法的优缺点，并提供了解决方案和示例来说明。我们的结论是充分利用数据集的链接，并发表数据，以便其他作者可以比较不同的方法，最后，在解释产量稳定性分析结果时考虑方法选择对结果的影响。持续使用所建议的准则和建议可以为对低收入国家的产量稳定性进行强有力的分析提供基础，并随后设计出更好地适应气候变化的稳定种植制度。
In the face of a changing climate, yield stability is becoming increasingly important for farmers and breeders. Long-term field experiments (LTEs) generate data sets that allow the quantification of stability for different agronomic treatments. However, there are no commonly accepted guidelines for assessing yield stability in LTEs. The large diversity of options impedes comparability of results and reduces confidence in conclusions. Here, we review and provide guidance for the most commonly encountered methodological issues when analysing yield stability in LTEs. The major points we recommend and discuss in individual sections are the following: researchers should (1) make data quality and methodological approaches in the analysis of yield stability from LTEs as transparent as possible; (2) test for and deal with outliers; (3) investigate and include, if present, potentially confounding factors in the statistical model; (4) explore the need for detrending of yield data; (5) account for temporal autocorrelation if necessary; (6) make explicit choice for the stability measures and consider the correlation between some of the measures; (7) consider and account for dependence of stability measures on the mean yield; (8) explore temporal trends of stability; and (9) report standard errors and statistical inference of stability measures where possible. For these issues, we discuss the pros and cons of the various methodological approaches and provide solutions and examples for illustration. We conclude to make ample use of linking up data sets, and to publish data, so that different approaches can be compared by other authors and, finally, consider the impacts of the choice of methods on the results when interpreting results of yield stability analyses. Consistent use of the suggested guidelines and recommendations may provide a basis for robust analyses of yield stability in LTEs and to subsequently design stable cropping systems that are better adapted to a changing climate.
利用系统农学重新设计有机谷物豆类种植系统
影响因子：
5.2
作者：
Reckling M
通讯作者：
Reckling M