Biplots of linear-bilinear models for studying crossover genotype x environment interaction

Crop Science

Volumn 42, Issue 2, 2002, Pages 619-633

  Crossa, Jose ^a   Cornelius, Paul L ^b   Yan, Weikai ^c  

^a INTERNATIONAL MAIZE AND WHEAT IMPROVEMENT CENTER CIMMYT   (Mexico)

^b UNIVERSITY OF KENTUCKY   (United States)

^c UNIVERSITY OF GUELPH   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EMBRYOPHYTA;

EID: 0036306084     PISSN: 0011183X     EISSN: None     Source Type: Journal    
DOI: 10.2135/cropsci2002.6190     Document Type: Article

References (18)

1. Results and biological interpretation of shifted multiplicative model clustering of durum wheat cultivars and test site
2. Prediction assessment of shrinkage estimators of multiplicative models for multi-environment cultivar trials
3. Statistical tests and estimators of multiplicative models for genotype-by-environment interaction
4. Estimation of general linear-bilinear models for two-way tables
5. Using the shifted multiplicative model to search for "separability" in crop cultivar trials
6. Clustering cultivars into groups without rank-change interactions
7. Recent developments in multiplicative models for cultivar trials
8. Sites regression and shifted multiplicative model clustering of cultivar trial sites under heterogeneity of error variances
9. A shifted multiplicative model fusion method for grouping environments without cultivar rank change
10. Using the shifted multiplicative model cluster methods for crossover genotype-by-environment interaction
11. A shifted multiplicative model cluster analysis for grouping environments without genotypic rank change
12. Biplot display of multivariate matrices with application to principal components analysis
13. Least squares approximation of matrices by additive and multiplicative models
14. Hypothesis testing for components of the shifted multiplicative model for a nonadditive two-way table
15. Comparison of two types of GGE biplots for studying genotype by environment interaction
16. Cultivar evaluation and mega-environment investigation based on the GGE biplot