title: Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysis.
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.
authors.affiliation: School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, NSW 2522, Australia. bcullis@uow.edu.au
authors.forename: B R
authors.initials: BR
authors.lastname: Cullis
authors.forename: A B
authors.initials: AB
authors.lastname: Smith
authors.forename: C P
authors.initials: CP
authors.lastname: Beeck
authors.forename: W A
authors.initials: WA
authors.lastname: Cowling
mesh_terms: D001947:Breeding; D004777:Environment; D005163:Factor Analysis, Statistical; D005229:Fatty Acids, Monounsaturated / Q000032:analysis*; D008957:Models, Genetic; D015233:Models, Statistical; D010938:Plant Oils / Q000032:analysis*; D010944:Plants / Q000235:genetics*; D000074262:Rapeseed Oil
chemical_list: D005229:Fatty Acids, Monounsaturated; D010938:Plant Oils; D000074262:Rapeseed Oil