Evaluation of maize hybrids and environmental stratification by the methods AMMI and GGE biplot
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
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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Crop Breeding and Applied Biotechnology |
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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 |
_version_ |
1754209185742979072 |