Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysis

作者：Cullis B R^*; Smith A B; Beeck C P; Cowling W A

来源：Genome, 2010, 53(11): 1002-1016.

DOI：10.1139/G10-080

• multi-environment trials
• factor analytic models
• pedigrees
• selection

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.

• 出版日期2010-11
• 单位CSIRO