Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression
Autor(a) principal: | |
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Data de Publicação: | 2017 |
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/33785 |
Resumo: | The aim of this study was to investigate the association between GGE Biplot and Eberhart and Russell methodologies and to select cowpea genotypes that meet both high grain yield, adaptability and stability for Mato Grosso do Sul environments. The trials were carried out from February to July of 2010, 2011 and 2012 in the municipalities of Dourados, Aquidauana and Chapadão do Sul. The trials in Chapadão do Sul were conducted only in the years 2010 and 2011, totaling eight environments. After detecting significant GE interaction, adaptability and phenotypic stability of cowpea genotypes were analyzed by GGE Biplot and linear regression methods. Eberhart and Russell and GGE biplot methodologies discriminate differently the best cowpea genotypes and it can be used in a complementary way. MNCO1-649F-2-11 and MNCO2-675-4-9 genotypes are the closest to the ideal in terms of high grain yield and phenotypic stability, being so suitable for cultivation in the state of Mato Grosso do Sul. |
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Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression Seleção de genótipos de feijão-caupi para Mato Grosso do Sul via GGE Biplot e regressão linearmultivariate analysisgenotype x environment interactionVigna unguiculataAgricultural SciencesThe aim of this study was to investigate the association between GGE Biplot and Eberhart and Russell methodologies and to select cowpea genotypes that meet both high grain yield, adaptability and stability for Mato Grosso do Sul environments. The trials were carried out from February to July of 2010, 2011 and 2012 in the municipalities of Dourados, Aquidauana and Chapadão do Sul. The trials in Chapadão do Sul were conducted only in the years 2010 and 2011, totaling eight environments. After detecting significant GE interaction, adaptability and phenotypic stability of cowpea genotypes were analyzed by GGE Biplot and linear regression methods. Eberhart and Russell and GGE biplot methodologies discriminate differently the best cowpea genotypes and it can be used in a complementary way. MNCO1-649F-2-11 and MNCO2-675-4-9 genotypes are the closest to the ideal in terms of high grain yield and phenotypic stability, being so suitable for cultivation in the state of Mato Grosso do Sul.O objetivo deste trabalho foi verificar a associação entre as metodologias de Eberhart & Russel e GGE Biplot e selecionar genótipos de feijão-caupi que reúnam simultaneamente alta produtividade de grãos,adaptabilidade e estabilidade aos ambientes de Mato Grosso do Sul. Os experimentos foram realizados no período de fevereiro a julho de 2010, 2011 e 2012, nos municípios de Dourados, Aquidauana e Chapadão do Sul. Os experimentos em Chapadão do Sul foram realizados apenas nos anos de 2010 e 2011, totalizando oito ambientes. Após detectar interação da GE significativa, a adaptabilidade e estabilidade fenotípica dos genótipos de feijão-caupi foi analisada pelos métodos GGE Biplot e regressão linear. As metodologias de Eberhart & Russell e GGE biplot discriminam de forma distinta os melhores genótipos de feijão-caupi e podem ser usadas de forma complementar. Os genótipos MNCO1-649F-2-11 e MNCO2-675-4-9 são indicados para o cultivo no Estado de Mato Grosso do Sul, pois aliam alta produtividade de grãos e estabilidade fenotípica.EDUFU2017-05-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3378510.14393/BJ-v33n3-33785Bioscience Journal ; Vol. 33 No. 3 (2017): May/June; 631-638Bioscience Journal ; v. 33 n. 3 (2017): May./June; 631-6381981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/33785/20323Brazil; ContemporaryCopyright (c) 2017 Adriano dos Santos, Gessi Ceccon, Erina Vitório Rodrigues, Paulo Eduardo Teodoro, Agenor Martinho Correa, Francisco Eduardo Torres, Rita de Cássia Félix Alvarezhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Adriano dosCeccon, GessiRodrigues, Erina VitórioTeodoro, Paulo EduardoCorrea, Agenor MartinhoTorres, Francisco EduardoCássia Félix Alvarez, Rita de2022-02-15T20:53:56Zoai:ojs.www.seer.ufu.br:article/33785Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-15T20:53:56Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression Seleção de genótipos de feijão-caupi para Mato Grosso do Sul via GGE Biplot e regressão linear |
title |
Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression |
spellingShingle |
Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression Santos, Adriano dos multivariate analysis genotype x environment interaction Vigna unguiculata Agricultural Sciences |
title_short |
Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression |
title_full |
Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression |
title_fullStr |
Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression |
title_full_unstemmed |
Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression |
title_sort |
Selection of cowpea genotypes for Mato Grosso do Sul viaGGE Biplot and linear regression |
author |
Santos, Adriano dos |
author_facet |
Santos, Adriano dos Ceccon, Gessi Rodrigues, Erina Vitório Teodoro, Paulo Eduardo Correa, Agenor Martinho Torres, Francisco Eduardo Cássia Félix Alvarez, Rita de |
author_role |
author |
author2 |
Ceccon, Gessi Rodrigues, Erina Vitório Teodoro, Paulo Eduardo Correa, Agenor Martinho Torres, Francisco Eduardo Cássia Félix Alvarez, Rita de |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Santos, Adriano dos Ceccon, Gessi Rodrigues, Erina Vitório Teodoro, Paulo Eduardo Correa, Agenor Martinho Torres, Francisco Eduardo Cássia Félix Alvarez, Rita de |
dc.subject.por.fl_str_mv |
multivariate analysis genotype x environment interaction Vigna unguiculata Agricultural Sciences |
topic |
multivariate analysis genotype x environment interaction Vigna unguiculata Agricultural Sciences |
description |
The aim of this study was to investigate the association between GGE Biplot and Eberhart and Russell methodologies and to select cowpea genotypes that meet both high grain yield, adaptability and stability for Mato Grosso do Sul environments. The trials were carried out from February to July of 2010, 2011 and 2012 in the municipalities of Dourados, Aquidauana and Chapadão do Sul. The trials in Chapadão do Sul were conducted only in the years 2010 and 2011, totaling eight environments. After detecting significant GE interaction, adaptability and phenotypic stability of cowpea genotypes were analyzed by GGE Biplot and linear regression methods. Eberhart and Russell and GGE biplot methodologies discriminate differently the best cowpea genotypes and it can be used in a complementary way. MNCO1-649F-2-11 and MNCO2-675-4-9 genotypes are the closest to the ideal in terms of high grain yield and phenotypic stability, being so suitable for cultivation in the state of Mato Grosso do Sul. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-05-24 |
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/33785 10.14393/BJ-v33n3-33785 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/33785 |
identifier_str_mv |
10.14393/BJ-v33n3-33785 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/33785/20323 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
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. 33 No. 3 (2017): May/June; 631-638 Bioscience Journal ; v. 33 n. 3 (2017): May./June; 631-638 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_ |
1797069076933115904 |