Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil
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 multiva...
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Format: | Article |
Language: | English |
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Wiley
2011-01-01
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Series: | International Journal of Agronomy |
Online Access: | http://dx.doi.org/10.1155/2011/215843 |
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author | Lúcio Borges de Araújo Mario Varela Nualles Mirian Fernandes Carvalho Araújo Carlos Tadeu dos Santos Dias |
author_facet | Lúcio Borges de Araújo Mario Varela Nualles Mirian Fernandes Carvalho Araújo Carlos Tadeu dos Santos Dias |
author_sort | Lúcio Borges de Araújo |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-158eea9f121347a791f00c7867a24ab4 |
institution | Kabale University |
issn | 1687-8159 1687-8167 |
language | English |
publishDate | 2011-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Agronomy |
spelling | doaj-art-158eea9f121347a791f00c7867a24ab42025-02-03T01:32:47ZengWileyInternational Journal of Agronomy1687-81591687-81672011-01-01201110.1155/2011/215843215843Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of BrazilLúcio Borges de Araújo0Mario Varela Nualles1Mirian Fernandes Carvalho Araújo2Carlos Tadeu dos Santos Dias3Faculty of Mathematics, Federal University of Uberlândia, Avenida João Naves de Ávila, 2.121, 38400-902 Uberlândia, MG, BrazilDepartment of Mathematics, Instituto Nacional de Ciencias Agrícolas (INCA), km 3.5, San José de Las Lajas, 3700 Habana, CubaFaculty of Mathematics, Federal University of Uberlândia, Avenida João Naves de Ávila, 2.121, 38400-902 Uberlândia, MG, BrazilDepartment of Exact Sciences, University of São Paulo, Avenida Pádua Dias, 11, 13418-900 Piracicaba, SP, BrazilThis 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.http://dx.doi.org/10.1155/2011/215843 |
spellingShingle | Lúcio Borges de Araújo Mario Varela Nualles Mirian Fernandes Carvalho Araújo Carlos Tadeu dos Santos Dias Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil International Journal of Agronomy |
title | Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil |
title_full | Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil |
title_fullStr | Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil |
title_full_unstemmed | Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil |
title_short | Multiattribute Response of Maize Genotypes Tested in Different Coastal Regions of Brazil |
title_sort | multiattribute response of maize genotypes tested in different coastal regions of brazil |
url | http://dx.doi.org/10.1155/2011/215843 |
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