A SAS macro for computing statistical tests for two-way table and stability indices of nonparametric method from genotype-byenvironment interaction
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Universidade Estadual de Maringá
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Genotype-by-environment interaction refers to the differential response of differentgenotypes across different environments. This is a general phenomenon in all living organisms and alwayshas been one of the main challenges for biologists and plant breeders. The nonparametric methods basedon the rank of original data have been suggested as the alternative methods after parametric methods toanalyze data without perquisite assumptions needed for common analysis of variance. But, the lack ofstatistical software or package, especially for analysis of two-way data, is one of the main reasons that plantbreeders have not greatly used the nonparametric methods. Here, we have explained the nonparametricmethods and presented a comprehensive two-parts SAS program for calculation of four nonparametricstatistical tests (Bredenkamp, Hildebrand, Kubinger and van der Laan-de Kroon) and all of the validstability statistics including Hühn’s parameters (Si(1), Si(2), Si(3), Si(6)), Thennarasu’s parameters (NPi(1),NPi(2), NPi(3), NPi(4)), Fox's ranking technique and Kang’s rank-sum.
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