The GT biplot analysis of green bean traits

Detalhes bibliográficos
Autor(a) principal: Oliveira,Tâmara Rebecca Albuquerque de
Data de Publicação: 2018
Outros Autores: Gravina,Geraldo de Amaral, Oliveira,Gustavo Hugo Ferreira de, Araújo,Kleberson Cordeiro, Araújo,Lanusse Cordeiro de, Daher,Rogério Figueiredo, Vivas,Marcelo, Gravina,Lilia Marques, Cruz,Derivaldo Pureza da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000600351
Resumo: ABSTRACT: The green bean (Phaseolus vulgaris L.) is a nutrient-rich vegetable much appreciated; although, little studied, in Brazil. The aim of the current study was to investigate the nature of traits of interest, as well as to select plants for the green bean breeding program based on genotype vs. trait biplot analysis. The experiment followed a randomized block design, with 4 repetitions and 17 genotypes. Analysis of variance, principal component analysis and biplot charts were performed to analyze the number of pods per plant, the number of seeds per pod, the number of seeds per plant, seed weight per plant, 100-seed weight, as well as grain and pod yields. The analysis of variance showed genetic variability between genotypes. Grain yield, pod yield and seed weight per plant were highly correlated. The number of seeds per pod was negatively correlated with pod weight, grain weight and with seed weight per plant. Lines Feltrin and UENF 14-30-3 were indicated to increase gains in variables such as grain yield and pod yield.
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spelling The GT biplot analysis of green bean traitsPhaseolus vulgaris L.multivariate analysisgenotypes x traits.ABSTRACT: The green bean (Phaseolus vulgaris L.) is a nutrient-rich vegetable much appreciated; although, little studied, in Brazil. The aim of the current study was to investigate the nature of traits of interest, as well as to select plants for the green bean breeding program based on genotype vs. trait biplot analysis. The experiment followed a randomized block design, with 4 repetitions and 17 genotypes. Analysis of variance, principal component analysis and biplot charts were performed to analyze the number of pods per plant, the number of seeds per pod, the number of seeds per plant, seed weight per plant, 100-seed weight, as well as grain and pod yields. The analysis of variance showed genetic variability between genotypes. Grain yield, pod yield and seed weight per plant were highly correlated. The number of seeds per pod was negatively correlated with pod weight, grain weight and with seed weight per plant. Lines Feltrin and UENF 14-30-3 were indicated to increase gains in variables such as grain yield and pod yield.Universidade Federal de Santa Maria2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000600351Ciência Rural v.48 n.6 2018reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20170757info:eu-repo/semantics/openAccessOliveira,Tâmara Rebecca Albuquerque deGravina,Geraldo de AmaralOliveira,Gustavo Hugo Ferreira deAraújo,Kleberson CordeiroAraújo,Lanusse Cordeiro deDaher,Rogério FigueiredoVivas,MarceloGravina,Lilia MarquesCruz,Derivaldo Pureza daeng2018-05-21T00:00:00ZRevista
dc.title.none.fl_str_mv The GT biplot analysis of green bean traits
title The GT biplot analysis of green bean traits
spellingShingle The GT biplot analysis of green bean traits
Oliveira,Tâmara Rebecca Albuquerque de
Phaseolus vulgaris L.
multivariate analysis
genotypes x traits.
title_short The GT biplot analysis of green bean traits
title_full The GT biplot analysis of green bean traits
title_fullStr The GT biplot analysis of green bean traits
title_full_unstemmed The GT biplot analysis of green bean traits
title_sort The GT biplot analysis of green bean traits
author Oliveira,Tâmara Rebecca Albuquerque de
author_facet Oliveira,Tâmara Rebecca Albuquerque de
Gravina,Geraldo de Amaral
Oliveira,Gustavo Hugo Ferreira de
Araújo,Kleberson Cordeiro
Araújo,Lanusse Cordeiro de
Daher,Rogério Figueiredo
Vivas,Marcelo
Gravina,Lilia Marques
Cruz,Derivaldo Pureza da
author_role author
author2 Gravina,Geraldo de Amaral
Oliveira,Gustavo Hugo Ferreira de
Araújo,Kleberson Cordeiro
Araújo,Lanusse Cordeiro de
Daher,Rogério Figueiredo
Vivas,Marcelo
Gravina,Lilia Marques
Cruz,Derivaldo Pureza da
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira,Tâmara Rebecca Albuquerque de
Gravina,Geraldo de Amaral
Oliveira,Gustavo Hugo Ferreira de
Araújo,Kleberson Cordeiro
Araújo,Lanusse Cordeiro de
Daher,Rogério Figueiredo
Vivas,Marcelo
Gravina,Lilia Marques
Cruz,Derivaldo Pureza da
dc.subject.por.fl_str_mv Phaseolus vulgaris L.
multivariate analysis
genotypes x traits.
topic Phaseolus vulgaris L.
multivariate analysis
genotypes x traits.
description ABSTRACT: The green bean (Phaseolus vulgaris L.) is a nutrient-rich vegetable much appreciated; although, little studied, in Brazil. The aim of the current study was to investigate the nature of traits of interest, as well as to select plants for the green bean breeding program based on genotype vs. trait biplot analysis. The experiment followed a randomized block design, with 4 repetitions and 17 genotypes. Analysis of variance, principal component analysis and biplot charts were performed to analyze the number of pods per plant, the number of seeds per pod, the number of seeds per plant, seed weight per plant, 100-seed weight, as well as grain and pod yields. The analysis of variance showed genetic variability between genotypes. Grain yield, pod yield and seed weight per plant were highly correlated. The number of seeds per pod was negatively correlated with pod weight, grain weight and with seed weight per plant. Lines Feltrin and UENF 14-30-3 were indicated to increase gains in variables such as grain yield and pod yield.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
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=S0103-84782018000600351
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000600351
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20170757
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.48 n.6 2018
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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