School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, NSW 2522, Australia.
Genome. 2010 Nov;53(11):1002-16. doi: 10.1139/G10-080.
Exploring and exploiting variety by environment (V × E) interaction is one of the major challenges facing plant breeders. In paper I of this series, we presented an approach to modelling V × 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 × 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.
通过环境（V × E）互作来探索和利用变异性是植物育种者面临的主要挑战之一。在本系列论文的第 I 篇中，我们提出了一种使用因子分析模型分析复杂多环境试验中 V × E 互作的方法。在本文中，我们开发了一系列统计工具，用于在这种情况下探索 V × E 互作。这些工具包括遗传相关矩阵的热图等图形显示，以及所谓的 E 尺度单值图，它们是大型植物育种多环境试验中经典双标图的更具信息量的替代方法。我们还提出了一种新的多环境试验预测方法，该方法包括系谱信息。这种方法允许为潜在的新品种或潜在的亲本形成有意义的选择指数。
