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SAS Applications for Tai's Stability Analysis and AMMI Model in Genotype Environmental Interaction (GEI) Effects
Author(s) -
Mathura Thillainathan
Publication year - 2001
Publication title -
journal of heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 92
eISSN - 1471-8505
pISSN - 0022-1503
DOI - 10.1093/jhered/92.4.367
Subject(s) - ammi , biplot , macro , stability (learning theory) , graphics , computer science , preprocessor , gene–environment interaction , debugging , statistical graphics , interpretability , data mining , programming language , biology , artificial intelligence , machine learning , computer graphics (images) , genotype , biochemistry , gene
A user-friendly graphical data analysis to perform stability analysis of genotype x environmental interactions, using Tai's stability model and additive main effects and multiplicative interaction (AMMI) biplots, are presented here. This practical approach integrates statistical and graphical analysis tools available in SAS systems and provides user-friendly applications to perform complete stability analyses without writing SAS program statements or using pull-down menu interfaces by running the SAS macros in the background. By using this macro approach, the agronomists and plant breeders can effectively perform stability analysis and spend more time in data exploration, interpretation of graphs, and output, rather than debugging their program errors. The necessary MACRO-CALL files can be downloaded from the author's home page at http://www.ag.unr.edu/gf. The nature and the distinctive features of the graphics produced by these applications are illustrated by using published data.

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