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TESTING THE SIGNIFICANCE OF GENOTYPE‐ENVIRONMENT INTERACTION
Author(s) -
Williams E.R.,
Wood J.T.
Publication year - 1993
Publication title -
australian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 41
eISSN - 1467-842X
pISSN - 0004-9581
DOI - 10.1111/j.1467-842x.1993.tb01343.x
Subject(s) - ammi , multiplicative function , computer science , test (biology) , gene–environment interaction , genotype , statistics , psychology , mathematics , biology , genetics , ecology , mathematical analysis , gene
Summary The AMMI (additive main effects‐multiplicative interaction) model is often used to investigate interactions in two‐way tables, in particular for genotype‐environment interactions. Both Gollob (1968) and Mandel (1969, 1971) proposed methods for testing the significance of such interactions. These methods are compared using simulated data. Our results support Mandel's conclusions, but his method is conservative and we recommend a test proposed by Johnson & Graybill (1972).

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