22. Genotype X Environment Interaction
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AMMI (Additive main effects, multiplicative interaction) Models
Our discussion of the various ways to characterize interaction effects (pp. 672-678) failed to mention the powerful AMMI approach (Gauch 1988, 1992), which is an important major extension of the joint regression approach. An introduction can be found on pages 8-11 in the pdf file of
Chapter 11 in
AMMI analysis is very closely related to biplots, and there are a few
commerical packages for such analysis.
Gauch, H. G. 1988. Model selection and validation for yield traits with interaction. Biometrics 44: 705--715.
Gauch, H. G. 1992. Statistical Analysis of Regional Yield Trials: AMMI analysis of factorial designs Elsevier. This is a very nice, and quite readable, introduction. Chapter 3 is especially nice in reviewing the variety of joint-regression models to partition G x E.
Romagosa et al. 1996. Use of additive main effects and multiplicative interaction model in QTL maaping for adaption in barely. Theor. Appl. Genet. 93: 30--37.
- Piepho, H. P. 1988. Methods for comparing the yield stability of cropping systems -- a review. Journal of Agronomy and Crop Science 180: 193--213.
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Created 12 May 1995, last updated 20 Feb 1996
Bruce Walsh. firstname.lastname@example.org .