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Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment
B R Cullis1, A B Smith, C P Beeck
1School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, NSW 2522, Australia. bcullis@uow.edu.au
Abstract:
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.
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