1. Allard, R. W. and Bradshaw, A. D. 1964. Implication of Genotype–environmental Interaction in Applied Plant Breeding. Crop Sci., 5: 503-506.
2. Annicchiarico, P. 1997. Additive Main Effects and Multiplicative Interaction (AMMI) Analysis of Genotype-location Interaction in Variety Trials Repeated over Years. Theor. Appl. Genet., 94: 1072-1077.
3. Cornelius, P. L. 1980. Functions Approximating Mandel’s Tables for the Means and Standard Deviations of the First Three Roots of a Wishart Matrix. Technometrics, 22: 613-616.
4. Cornelius, P. L. 1993. Statistical Tests and Retention of Terms in the Additive Main Effects and Multiplicative Interaction Model for Cultivar Trials. Crop Sci., 33: 1186-1193.
5. Cornelius, P. L. and Crossa, J. 1999. Prediction Assessment of Shrinkage Estimators of Multiplicative Models for Multi-Environment Cultivar Trials. Crop Sci., 39(4): 998-1009.
6. Cornelius, P. L., Crossa, J. and Seyedsadr, M. 1996. Statistical Tests and Estimators of Multiplicative Models for Cultivar Trials. In "Genotype-by-environment Interaction", (Eds.): Kang, M. S. and Gauch, H. G. Jr.. CRC Press, Boca Raton, Florida, PP. 199-234.
7. Cornelius, P. L., Sayedsadr, M. and Crossa, J. 1992. Using the Shifted Multiplicative Model to Search for “Separability” in Crop Cultivars Trials. Theor. Appl. Genet., 84: 161-172.
8. Crossa, J., Cornelius, P. L. and Yan, W. 2002. Biplots of Linear-Bilinear Models for Studying Crossover Genotype×Environment Interaction. Crop Sci., 42: 136-144.
9. Crossa, J. 1990. Statistical Analyses of Multilocation Trials. Adv. Agron., 44: 55-85
10. Ebdon, J. S. and Gauch, H.G. 2002. AMMI Analysis of National Turfgrass Performance Trials. II. Cultivar Recommendations. Crop Sci., 42: 497–506
11. Flores, F., Moreno, M.T. and Cubero, J. I. 1998. A Comparison of Univariate and Multivariate Methods to Analyze G×E Interaction. Field. Crop. Res., 56: 271-286.
12. Gabriel, K. R. 1978. The Biplot Graphic Display OF Matrices with Application to Principal Component Analysis. Biometrika, 58: 453–467.
13. Gauch, H. G. 1992. Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs. Elsevier, Amsterdam, Netherlans. 278 PP.
14. Gauch, H. G. 2006a. Statistical Analysis of Yield Trials by AMMI and GGE. Crop Sci., 46: 1488–1500.
15. Gauch, H. G. 2006b. Winning the Accuracy Game -Three Statistical Strategies- Replicating, Blocking and Modeling: Can Help Scientists Improve Accuracy and Accelerate Progress. American Scientist, 94: 133-141.
16. Gauch, H. G. 2007. MATMODEL Version 3.0: AMMI and Related Analyses for Two-Way Data Matrices. Microcomputer Power, Ithaca, NY.
17. Gauch, H. G. and Zobel, R. W. 1996. AMMI Analysis of Yield Trials. In: "Genotype-by-Environment Interaction", (Eds.): Kang, M. S. and Gauch, H. G. Jr.. CRC Press, New York, PP. 235-271.
18. Gauch, H. G. 1988. Model Selection and Validation for Yield Trials with Interaction. Biometrics, 88: 705-715.
19. Gollob, H. F. 1968. A Statistical Model which Combines Features of Factor Analytic and Analysis of Variance Techniques. Psychometrika, 33: 73-115.
20. Kang, M. S. 2002. Genotype-environment Interaction: PROGRESS and Prospects. In: "Quantitative Genetics, Genomics and Plant Breeding", (Ed.): Kang, M. S.. CAB International, Wallingford, England, PP. 221-243.
21. Kaya, Y., Taner, S. and Ceri, S. 2003. Nonparametric Stability Analysis of Yield Performances in Oats (Avena Sativa L.) Genotypes across Environments. Asian J. Plant Sci., 2: 286-289.
22. Mandel, J. 1971. A New Analysis of Variance Model for Nonadditive Data. Technometrice, 13: 1-8.
23. Moreno-Gonza´ lez, J., Crossa, J. and Cornelius, P. L. 2003. Additive Main Effects and Multiplicative Interaction Model. I. Theory on Variance Components for Predicting Cell Means. Crop Sci., 43: 1967–1975.
24. Pacheco, R. M., Duarte, J. B., Vencovsky, R., Pinheiro, J. B. and Oliveira, A. B. 2005. Use of Supplementary Genotypes in AMMI Analysis. Theor. Appl. Genet., 110: 812-818.
25. Piepho, H. P. 1995. Robustness of Statistical Tests for Multiplicative Terms in the Additive Main Effects and Multiplicative Interaction Model for Cultivar Trials. Theor. Appl. Genet., 90: 438-443.
26. SAS Institute Inc. 2004. SAS/ (IML and STAT): 9.1 User’s Guide. Cary, NC.
27. Shafii, B. and Price, W. J. 1998. Analysis of Genotype-by-environment Interaction Using the Additive Main Effects and Multiplicative Interaction Model and Stability Estimates. Biometric, 3: 335-345.
28. Solomon, K. F., Smit, H. A., Malan, E. and Du Toit, W. J. 2008. Parametric Model Based Assessment of Genotype × Environment Interactions for Grain Yield in Durum Wheat under Irrigation. Int. J. Plant Prod., 2: 23-36.
29. Wold, S. 1978. Cross-validatory Estimation of the Number of Components in Factor and Principal Component Models. Technometrics, 20: 397-405.
30. Zoble, R. W. , Wright, M. J. and Gauch, Jr. H. G. 1988. Statistical Analysis of Yield Trial. Agron. J., 80:388-393
31. Yan, W. 2002. Singular-value Partitioning in Biplot Analysis of Multienvironment Trial Data. Agron. J., 94: 990-996.