Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil
Author(s) -
Lúcio Borges de Araújo,
Mario Varela Nualles,
Mirian Fernandes Carvalho Araújo,
Carlos Tadeu dos Santos Dias
Publication year - 2011
Publication title -
international journal of agronomy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.493
H-Index - 16
eISSN - 1687-8167
pISSN - 1687-8159
DOI - 10.1155/2011/215843
Subject(s) - ammi , adaptability , multivariate statistics , principal component analysis , additive model , gene–environment interaction , multiplicative function , agronomy , interaction , main effect , genotype , statistics , mathematics , biology , ecology , mathematical analysis , biochemistry , gene
This work applies the three mode principal components analysis to analyze simultaneously the multiple attributes; to fit of models with additive main effects and multiplicative interaction effects (AMMI models) and the regressions models on sites (SREG models); to evaluate, respectively, the multivariate response of the genotype × environment interaction and the mean response of 36 genotypes of corn tested in 4 locations in Brazil. The results were presented by joint plots to identify the best genotypes for their adaptability and performance in the set of attributes
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