In this paper various multiplicative models that are often used to analyse genotype-environment interaction are described and some of the statistical relationships between them are explored. It is shown that principal-component analysis can be seen as a natural generalization of the joint regression analysis. A set of maize data is used to exemplify these statistical models.
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