Estimates of genetic divergence in cowpea by multivariate analysis in different environments

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Larissa Pereira
Data de Publicação: 2019
Outros Autores: Evangelista, Jeniffer Santana Pinto Coelho, Damacena, Michelle Brandão, Elizeu, Arthur Mayrink, Coelho, Igor Ferreira, Rodrigues, Erina Vitório, Teodoro, Paulo Eduardo, Bhering, Leonardo Lopes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/42406
Resumo: Cowpea is a legume of great importance in the Brazilian nutrition, mainly in the Northeast region. Despite the low yield of Brazilian cowpea, the species presents a genetic potential to be explored. Thus, this work aimed to characterize the genetic diversity of cowpea genotypes by agronomic traits and select genotypes for possible crosses by multivariate analysis. Four value for cultivation and use tests were carried out with cowpea genotypes in 2005 and 2006, in the municipalities of Aquidauana, Chapadão do Sul, and Dourados, in the state of Mato Grosso do Sul. The experimental design was a complete randomized block with 20 genotypes and four replications. The evaluated traits were value for cultivation, plant lodging, pod length, grain weight of five pods, number of grains per pod, pod weight, severity of powdery mildew, and grain yield. To estimate the genetic diversity among the genotypes, the optimization methods of Tocher and UPGMA were used. The generalized distance of Mahalanobis was used as a dissimilarity measure. The clustering methods revealed genetic variability among the cowpea genotypes evaluated. The methods used formed a different number of groups for each environment. Genotypes TE97-309G-24, MNC99-542F-5, BRS Paraguaçu, BRS Paraguaçu, BR 17-Gurguéia, and CNC x 409-11F-P2 can be used to obtain promising combinations and high genetic variability.
id UFU-14_904161ed3878aa126a5832d27e6aa325
oai_identifier_str oai:ojs.www.seer.ufu.br:article/42406
network_acronym_str UFU-14
network_name_str Bioscience journal (Online)
repository_id_str
spelling Estimates of genetic divergence in cowpea by multivariate analysis in different environmentsEstimativa de divergência genética em feijão-caupi por meio de análise multivariada em diferentes ambientesVigna unguiculata L.dissimilarityUPGMATocher.Vigna unguiculata L.Dissimilaridade.UPGMA.Tocher.Cowpea is a legume of great importance in the Brazilian nutrition, mainly in the Northeast region. Despite the low yield of Brazilian cowpea, the species presents a genetic potential to be explored. Thus, this work aimed to characterize the genetic diversity of cowpea genotypes by agronomic traits and select genotypes for possible crosses by multivariate analysis. Four value for cultivation and use tests were carried out with cowpea genotypes in 2005 and 2006, in the municipalities of Aquidauana, Chapadão do Sul, and Dourados, in the state of Mato Grosso do Sul. The experimental design was a complete randomized block with 20 genotypes and four replications. The evaluated traits were value for cultivation, plant lodging, pod length, grain weight of five pods, number of grains per pod, pod weight, severity of powdery mildew, and grain yield. To estimate the genetic diversity among the genotypes, the optimization methods of Tocher and UPGMA were used. The generalized distance of Mahalanobis was used as a dissimilarity measure. The clustering methods revealed genetic variability among the cowpea genotypes evaluated. The methods used formed a different number of groups for each environment. Genotypes TE97-309G-24, MNC99-542F-5, BRS Paraguaçu, BRS Paraguaçu, BR 17-Gurguéia, and CNC x 409-11F-P2 can be used to obtain promising combinations and high genetic variability.O feijão-caupi é de grande importância na nutrição brasileira, principalmente na região Nordeste. Apesar do baixo rendimento do feijão-caupi no Brasil, esta leguminosa apresenta potencial genético a ser explorado. Dessa forma, o objetivo do trabalho foi caracterizar a variabilidade genética de caracteres agronômicos e estimar a divergência genética entre genótipos de feijão-caupi por meio de análise multivariada. Quatro ensaios de valor de cultivo e uso com genótipos de feijão-caupi foram conduzidos nos anos de 2005 e 2006, nos municípios de Aquidauana, Chapadão do Sul e Dourados. Os experimentos foram conduzidos em delineamento blocos casualizados, com 20 genótipos e quatro repetições. Os caracteres avaliados foram acamamento de plantas, comprimento de vagem, peso de grãos de cinco vagens, número de grãos por vagem, peso de vagem e produtividade de grãos. Realizou-se análise de variância individual e conjunta. Para estimar a diversidade genética entre os genótipos, foram utilizados o métodos de otimização de Tocher e UPGMA.  A distância generalizada de Mahalanobis foi utilizada como medida de dissimilaridade. Foi possível detectar variabilidade genética entre os genótipos de feijão-caupi avaliados por meio dos métodos de agrupamento utilizados. Os métodos utilizados formaram números de grupos distintos para cada ambiente. Os genótipos TE97-309G-24, MNC99-542F-5, BRS Paraguaçu, BRS Paraguaçu, BR 17-Gurguéia e CNC x 409-11F-P2 podem ser usados para obter combinações promissoras e elevada variabilidade genética.EDUFU2019-10-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/4240610.14393/BJ-v35n6a2019-42406Bioscience Journal ; Vol. 35 No. 6 (2019): Nov./Dec.; 1681-1687Bioscience Journal ; v. 35 n. 6 (2019): Nov./Dec.; 1681-16871981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/42406/27448Copyright (c) 2019 Larissa Pereira Ribeiro, Jeniffer Santana Pinto Coelho Evangelista, Michelle Brandão Damacena, Arthur Mayrink Elizeu, Igor Ferreira Coelho, Erina Vitório Rodrigues, Paulo Eduardo Teodoro, Leonardo Lopes Bheringhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRibeiro, Larissa Pereira Evangelista, Jeniffer Santana Pinto CoelhoDamacena, Michelle Brandão Elizeu, Arthur Mayrink Coelho, Igor Ferreira Rodrigues, Erina Vitório Teodoro, Paulo EduardoBhering, Leonardo Lopes 2022-01-19T12:44:17Zoai:ojs.www.seer.ufu.br:article/42406Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-01-19T12:44:17Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Estimates of genetic divergence in cowpea by multivariate analysis in different environments
Estimativa de divergência genética em feijão-caupi por meio de análise multivariada em diferentes ambientes
title Estimates of genetic divergence in cowpea by multivariate analysis in different environments
spellingShingle Estimates of genetic divergence in cowpea by multivariate analysis in different environments
Ribeiro, Larissa Pereira
Vigna unguiculata L.
dissimilarity
UPGMA
Tocher.
Vigna unguiculata L.
Dissimilaridade.
UPGMA.
Tocher.
title_short Estimates of genetic divergence in cowpea by multivariate analysis in different environments
title_full Estimates of genetic divergence in cowpea by multivariate analysis in different environments
title_fullStr Estimates of genetic divergence in cowpea by multivariate analysis in different environments
title_full_unstemmed Estimates of genetic divergence in cowpea by multivariate analysis in different environments
title_sort Estimates of genetic divergence in cowpea by multivariate analysis in different environments
author Ribeiro, Larissa Pereira
author_facet Ribeiro, Larissa Pereira
Evangelista, Jeniffer Santana Pinto Coelho
Damacena, Michelle Brandão
Elizeu, Arthur Mayrink
Coelho, Igor Ferreira
Rodrigues, Erina Vitório
Teodoro, Paulo Eduardo
Bhering, Leonardo Lopes
author_role author
author2 Evangelista, Jeniffer Santana Pinto Coelho
Damacena, Michelle Brandão
Elizeu, Arthur Mayrink
Coelho, Igor Ferreira
Rodrigues, Erina Vitório
Teodoro, Paulo Eduardo
Bhering, Leonardo Lopes
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ribeiro, Larissa Pereira
Evangelista, Jeniffer Santana Pinto Coelho
Damacena, Michelle Brandão
Elizeu, Arthur Mayrink
Coelho, Igor Ferreira
Rodrigues, Erina Vitório
Teodoro, Paulo Eduardo
Bhering, Leonardo Lopes
dc.subject.por.fl_str_mv Vigna unguiculata L.
dissimilarity
UPGMA
Tocher.
Vigna unguiculata L.
Dissimilaridade.
UPGMA.
Tocher.
topic Vigna unguiculata L.
dissimilarity
UPGMA
Tocher.
Vigna unguiculata L.
Dissimilaridade.
UPGMA.
Tocher.
description Cowpea is a legume of great importance in the Brazilian nutrition, mainly in the Northeast region. Despite the low yield of Brazilian cowpea, the species presents a genetic potential to be explored. Thus, this work aimed to characterize the genetic diversity of cowpea genotypes by agronomic traits and select genotypes for possible crosses by multivariate analysis. Four value for cultivation and use tests were carried out with cowpea genotypes in 2005 and 2006, in the municipalities of Aquidauana, Chapadão do Sul, and Dourados, in the state of Mato Grosso do Sul. The experimental design was a complete randomized block with 20 genotypes and four replications. The evaluated traits were value for cultivation, plant lodging, pod length, grain weight of five pods, number of grains per pod, pod weight, severity of powdery mildew, and grain yield. To estimate the genetic diversity among the genotypes, the optimization methods of Tocher and UPGMA were used. The generalized distance of Mahalanobis was used as a dissimilarity measure. The clustering methods revealed genetic variability among the cowpea genotypes evaluated. The methods used formed a different number of groups for each environment. Genotypes TE97-309G-24, MNC99-542F-5, BRS Paraguaçu, BRS Paraguaçu, BR 17-Gurguéia, and CNC x 409-11F-P2 can be used to obtain promising combinations and high genetic variability.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-15
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/42406
10.14393/BJ-v35n6a2019-42406
url https://seer.ufu.br/index.php/biosciencejournal/article/view/42406
identifier_str_mv 10.14393/BJ-v35n6a2019-42406
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/42406/27448
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.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 35 No. 6 (2019): Nov./Dec.; 1681-1687
Bioscience Journal ; v. 35 n. 6 (2019): Nov./Dec.; 1681-1687
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_ 1797069080409145344