Pattern analysis of multi-environment trials in common bean genotypes

Detalhes bibliográficos
Autor(a) principal: Correa, Agenor Martinho
Data de Publicação: 2016
Outros Autores: Gonçalves, Manoel Carlos, Teodoro, Paulo Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/29572
Resumo: The aim of this study was to use the patterns analysis technique to investigate the grain yield of 13 common bean genotypes evaluated in 12 environments in the State of Mato Grosso do Sul, under presence of genotype x environment interaction (G x E). The trials were conducted between the years 2000-2006 at Universidade Estadual de Mato Grosso do Sul, Unit of Aquidauana, and at Faculdade de Ciências Agrárias da Universidade Federal da Grande Dourados. Have been identified nine groups of genotypes and environments. It were submitted the grain yield data to individual and joint variance analysis. Subsequently, it was performed the pattern analysis, which was made the cluster of genotypes and environments with similar patterns and its means grouping by Scott-Knott's test. The first two principal components of ordination analysis explained 56.6% of the total variation of G x E interaction data. Pattern analysis proved to be efficient in identifying groups of environments that discriminate similarly genotypes, genotypes with similar performance in all environments, and in the description of the genotypes stability patterns. 
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spelling Pattern analysis of multi-environment trials in common bean genotypes Phaseolus vulgaris L.cluster analysisgenotypes x environments interactionprincipal components analysis.Agricultural SciencesThe aim of this study was to use the patterns analysis technique to investigate the grain yield of 13 common bean genotypes evaluated in 12 environments in the State of Mato Grosso do Sul, under presence of genotype x environment interaction (G x E). The trials were conducted between the years 2000-2006 at Universidade Estadual de Mato Grosso do Sul, Unit of Aquidauana, and at Faculdade de Ciências Agrárias da Universidade Federal da Grande Dourados. Have been identified nine groups of genotypes and environments. It were submitted the grain yield data to individual and joint variance analysis. Subsequently, it was performed the pattern analysis, which was made the cluster of genotypes and environments with similar patterns and its means grouping by Scott-Knott's test. The first two principal components of ordination analysis explained 56.6% of the total variation of G x E interaction data. Pattern analysis proved to be efficient in identifying groups of environments that discriminate similarly genotypes, genotypes with similar performance in all environments, and in the description of the genotypes stability patterns. EDUFU2016-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/2957210.14393/BJ-v32n2a2016-29572Bioscience Journal ; Vol. 32 No. 2 (2016): Mar./Apr.; 328-336Bioscience Journal ; v. 32 n. 2 (2016): Mar./Apr.; 328-3361981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/29572/18104Brazil; ContemporaryCopyright (c) 2016 Agenor Martinho Correa, Manoel Carlos Gonçalves, Paulo Eduardo Teodorohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCorrea, Agenor MartinhoGonçalves, Manoel CarlosTeodoro, Paulo Eduardo2022-05-17T16:39:43Zoai:ojs.www.seer.ufu.br:article/29572Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-05-17T16:39:43Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Pattern analysis of multi-environment trials in common bean genotypes
title Pattern analysis of multi-environment trials in common bean genotypes
spellingShingle Pattern analysis of multi-environment trials in common bean genotypes
Correa, Agenor Martinho
Phaseolus vulgaris L.
cluster analysis
genotypes x environments interaction
principal components analysis.
Agricultural Sciences
title_short Pattern analysis of multi-environment trials in common bean genotypes
title_full Pattern analysis of multi-environment trials in common bean genotypes
title_fullStr Pattern analysis of multi-environment trials in common bean genotypes
title_full_unstemmed Pattern analysis of multi-environment trials in common bean genotypes
title_sort Pattern analysis of multi-environment trials in common bean genotypes
author Correa, Agenor Martinho
author_facet Correa, Agenor Martinho
Gonçalves, Manoel Carlos
Teodoro, Paulo Eduardo
author_role author
author2 Gonçalves, Manoel Carlos
Teodoro, Paulo Eduardo
author2_role author
author
dc.contributor.author.fl_str_mv Correa, Agenor Martinho
Gonçalves, Manoel Carlos
Teodoro, Paulo Eduardo
dc.subject.por.fl_str_mv Phaseolus vulgaris L.
cluster analysis
genotypes x environments interaction
principal components analysis.
Agricultural Sciences
topic Phaseolus vulgaris L.
cluster analysis
genotypes x environments interaction
principal components analysis.
Agricultural Sciences
description The aim of this study was to use the patterns analysis technique to investigate the grain yield of 13 common bean genotypes evaluated in 12 environments in the State of Mato Grosso do Sul, under presence of genotype x environment interaction (G x E). The trials were conducted between the years 2000-2006 at Universidade Estadual de Mato Grosso do Sul, Unit of Aquidauana, and at Faculdade de Ciências Agrárias da Universidade Federal da Grande Dourados. Have been identified nine groups of genotypes and environments. It were submitted the grain yield data to individual and joint variance analysis. Subsequently, it was performed the pattern analysis, which was made the cluster of genotypes and environments with similar patterns and its means grouping by Scott-Knott's test. The first two principal components of ordination analysis explained 56.6% of the total variation of G x E interaction data. Pattern analysis proved to be efficient in identifying groups of environments that discriminate similarly genotypes, genotypes with similar performance in all environments, and in the description of the genotypes stability patterns. 
publishDate 2016
dc.date.none.fl_str_mv 2016-04-04
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/29572
10.14393/BJ-v32n2a2016-29572
url https://seer.ufu.br/index.php/biosciencejournal/article/view/29572
identifier_str_mv 10.14393/BJ-v32n2a2016-29572
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/29572/18104
dc.rights.driver.fl_str_mv Copyright (c) 2016 Agenor Martinho Correa, Manoel Carlos Gonçalves, Paulo Eduardo Teodoro
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 Agenor Martinho Correa, Manoel Carlos Gonçalves, Paulo Eduardo Teodoro
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 32 No. 2 (2016): Mar./Apr.; 328-336
Bioscience Journal ; v. 32 n. 2 (2016): Mar./Apr.; 328-336
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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