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

Journal Article


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.

Publication Date


  • 2010

Published In


Citation


  • Cullis, B. R., Smith, A. B., Beeck, C. P. & Cowling, W. A. (2010). Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysis. Genome, 53 (11), 1002-1016.

Scopus Eid


  • 2-s2.0-78649247450

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3486

Has Global Citation Frequency


Number Of Pages


  • 14

Start Page


  • 1002

End Page


  • 1016

Volume


  • 53

Issue


  • 11

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.

Publication Date


  • 2010

Published In


Citation


  • Cullis, B. R., Smith, A. B., Beeck, C. P. & Cowling, W. A. (2010). Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysis. Genome, 53 (11), 1002-1016.

Scopus Eid


  • 2-s2.0-78649247450

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3486

Has Global Citation Frequency


Number Of Pages


  • 14

Start Page


  • 1002

End Page


  • 1016

Volume


  • 53

Issue


  • 11