Document Detail

Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysis.
MedLine Citation:
PMID:  21076516     Owner:  NLM     Status:  In-Process    
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.
B R Cullis; A B Smith; C P Beeck; W A Cowling
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Genome / National Research Council Canada = Génome / Conseil national de recherches Canada     Volume:  53     ISSN:  1480-3321     ISO Abbreviation:  Genome     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2010-11-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8704544     Medline TA:  Genome     Country:  Canada    
Other Details:
Languages:  eng     Pagination:  1002-16     Citation Subset:  IM    
School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, NSW 2522, Australia.
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