Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysis
Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysis
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DOI：
10.1139/g10-080
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发表时间：
2010-11-01
期刊：
影响因子：
3.1
通讯作者：
Cowling, W. A.
中科院分区：
文献类型：
--
作者：
Cullis, B. R.;Smith, A. B.;Cowling, W. A.
探索和利用品种与环境的相互作用是植物育种工作者面临的主要挑战之一。在本系列的第一篇论文中，我们提出了一种使用因子分析模型对复杂的多环境试验中的V × E相互作用进行建模的方法。在本文中，我们开发了一系列的统计工具，探讨V × E相互作用在这种情况下。这些工具包括图形显示，如遗传相关矩阵的热图以及所谓的E标度单标图，这是大型植物育种多环境试验的经典双标图的一个更丰富的替代方案。我们还提出了一种新的方法来预测多环境试验，包括系谱信息。这种方法可以形成有意义的选择指数，无论是潜在的新品种或潜在的父母。
Exploring and exploiting variety by environment ( V x E) interaction is one of the major challenges facing plant breeders. In paper I of this series, we presented an approach to modelling V x E interaction in the analysis of complex multi-environment trials using factor analytic models. In this paper, we develop a range of statistical tools which explore V x E interaction in this context. These tools include graphical displays such as heat-maps of genetic correlation matrices as well as so-called E-scaled uniplots that are a more informative alternative to the classical biplot for large plant breeding multi-environment trials. We also present a new approach to prediction for multi-environment trials that include pedigree information. This approach allows meaningful selection indices to be formed either for potential new varieties or potential parents.