Pattern analysis of multi-environment trials in common bean genotypes
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
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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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|| |
_version_ |
1797069075790168064 |