The GT biplot analysis of green bean traits
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , |
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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Ciência rural (Online) |
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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 |
|
_version_ |
1749140552553594880 |