Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot

Detalhes bibliográficos
Autor(a) principal: Oliveira,Rogério Lunezzo de
Data de Publicação: 2010
Outros Autores: Von Pinho,Renzo Garcia, Balestre,Márcio, Ferreira,Denys Vitor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Crop Breeding and Applied Biotechnology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332010000300010
Resumo: The purpose of this study was to evaluate yield stability, adaptability and environmental stratification by the methods AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and GGE (Genotype and Genotypes by Environment Interaction) biplot and to compare the efficiency of these methods. Data from the evaluation of 20 experimental single-cross and three commercial hybrids and 11 locations, in two growing seasons, 2005/2006 and 2006/2007 were used. Analyses of variance, adaptability, stability and environmental stratification were performed. A better combination of adaptability and stability was observed in the hybrids 10 and 16, according to the graphics of AMMI and GGE biplot methods, respectively. The number of locations could be reduced by 28% based on stratification. The predictive correlation of the AMMI and GGE methods was 0.88 and 0.86, respectively. The results showed that it is possible to reduce the number of evaluation sites; AMMI tended to be more accurate than GGE analysis.
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spelling Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplotZea maysgenotype by environment interactionmega-environmentsThe purpose of this study was to evaluate yield stability, adaptability and environmental stratification by the methods AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and GGE (Genotype and Genotypes by Environment Interaction) biplot and to compare the efficiency of these methods. Data from the evaluation of 20 experimental single-cross and three commercial hybrids and 11 locations, in two growing seasons, 2005/2006 and 2006/2007 were used. Analyses of variance, adaptability, stability and environmental stratification were performed. A better combination of adaptability and stability was observed in the hybrids 10 and 16, according to the graphics of AMMI and GGE biplot methods, respectively. The number of locations could be reduced by 28% based on stratification. The predictive correlation of the AMMI and GGE methods was 0.88 and 0.86, respectively. The results showed that it is possible to reduce the number of evaluation sites; AMMI tended to be more accurate than GGE analysis.Crop Breeding and Applied Biotechnology2010-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332010000300010Crop Breeding and Applied Biotechnology v.10 n.3 2010reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/S1984-70332010000300010info:eu-repo/semantics/openAccessOliveira,Rogério Lunezzo deVon Pinho,Renzo GarciaBalestre,MárcioFerreira,Denys Vitoreng2011-04-15T00:00:00Zoai:scielo:S1984-70332010000300010Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2011-04-15T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
title Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
spellingShingle Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
Oliveira,Rogério Lunezzo de
Zea mays
genotype by environment interaction
mega-environments
title_short Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
title_full Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
title_fullStr Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
title_full_unstemmed Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
title_sort Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
author Oliveira,Rogério Lunezzo de
author_facet Oliveira,Rogério Lunezzo de
Von Pinho,Renzo Garcia
Balestre,Márcio
Ferreira,Denys Vitor
author_role author
author2 Von Pinho,Renzo Garcia
Balestre,Márcio
Ferreira,Denys Vitor
author2_role author
author
author
dc.contributor.author.fl_str_mv Oliveira,Rogério Lunezzo de
Von Pinho,Renzo Garcia
Balestre,Márcio
Ferreira,Denys Vitor
dc.subject.por.fl_str_mv Zea mays
genotype by environment interaction
mega-environments
topic Zea mays
genotype by environment interaction
mega-environments
description The purpose of this study was to evaluate yield stability, adaptability and environmental stratification by the methods AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and GGE (Genotype and Genotypes by Environment Interaction) biplot and to compare the efficiency of these methods. Data from the evaluation of 20 experimental single-cross and three commercial hybrids and 11 locations, in two growing seasons, 2005/2006 and 2006/2007 were used. Analyses of variance, adaptability, stability and environmental stratification were performed. A better combination of adaptability and stability was observed in the hybrids 10 and 16, according to the graphics of AMMI and GGE biplot methods, respectively. The number of locations could be reduced by 28% based on stratification. The predictive correlation of the AMMI and GGE methods was 0.88 and 0.86, respectively. The results showed that it is possible to reduce the number of evaluation sites; AMMI tended to be more accurate than GGE analysis.
publishDate 2010
dc.date.none.fl_str_mv 2010-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332010000300010
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332010000300010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1984-70332010000300010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
dc.source.none.fl_str_mv Crop Breeding and Applied Biotechnology v.10 n.3 2010
reponame:Crop Breeding and Applied Biotechnology
instname:Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
instname_str Sociedade Brasileira de Melhoramento de Plantas
instacron_str CBAB
institution CBAB
reponame_str Crop Breeding and Applied Biotechnology
collection Crop Breeding and Applied Biotechnology
repository.name.fl_str_mv Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas
repository.mail.fl_str_mv cbabjournal@gmail.com||cbab@ufv.br
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