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References

  1. Bradu, D., and Gabriel, K.R. 1978. The biplot as a diagnostic tool for models of two-way tables. Technometrics 20:47-68.

  2. Gauch, H.G. 1988. Model selection and validation for yield trials with interaction. Biometrics 44:705-715.

  3. Gauch, H.G. 1992. Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs. Elsevier, Amsterdam, The Netherlands.

  4. Gauch, H.G. 1993. Prediction, parsimony, and noise. American Scientist 81:468-478.

  5. Gauch, H.G., and Furnas, R.E. 1991. Statistical analysis of yield trials with MATMODEL. Agronomy Journal 83:916-920.

  6. Gauch, H.G., and Zobel, R.W. 1988. Predictive and postdictive success of statistical analyses of yield trials. Theoretical and Applied Genetics 76:1-10.

  7. Gauch, H.G., and Zobel, R.W. 1997. Identifying mega-environments and targeting genotypes. Crop Science (in press).

  8. Kang, M.S. 1993. Simultaneous selection for yield and stability in crop performance trials: Consequences for growers. Agronomy Journal 85:754-757.

  9. Kang, M.S., and Gauch, H.G. (Editors). 1996. Genotype-by-Environment Interaction. CRC Press, Boca Raton, Florida.

  10. Kempton, R.A. 1984. The use of biplots in interpreting variety by environment interactions. Journal of Agricultural Science, Cambridge 103:123-135.


Hugh G. Gauch, Jr.
AMMIWins
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