Prospection of cowpea genotypes for green-grain production

Detalhes bibliográficos
Autor(a) principal: Pessoa,Angela Maria dos Santos
Data de Publicação: 2022
Outros Autores: Bertini,Cândida Hermínia Campos de Magalhães, Costa,Emanuel Magalhães da, Castro,Érika Beatriz de Lima, Silva,Anderson Rodrigo da, Mesquita,Rosilene Oliveira, Silva,Ana Kelly Firmino da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100453
Resumo: ABSTRACT Cowpea is a nutritious species cultivated worldwide whose high genetic variability can be exploited in breeding programs. The present study aimed to identify phenotypically divergent genotypes of Vigna unguiculata (L.) Walp., from this pe rspective concerning agronomic and physiological variables aiming at green grain production. An experiment was conducted in Fortaleza – CE, to analyse 13 variables in 44 genotypes from the Active Germplasm Bank of the Federal University of Ceará. The experiment was set up in an augmented block design with four additional controls (commercial cultivars). The genetic and environmental variance components were estimated by restricted maximum likelihood, after which the intraclass correlation coefficient (ICC) was calculated. Principal components analysis, Tocher’s clustering and correlation analysis were used in the study. The variables most influenced by genetic variance were production per plant, green pod length, green grain length, grain mass per pod, and total yield, with ICC > 0.5. Principal components analysis signalled the physiological variables gs, ci, and ci.ca and the agronomic variables of green pod length, green grain mass, number of grains per pod, and earliness of production as important for differentiating between cowpea genotypes. CE genotypes 02, 151, 165, 172, 189, 244, 986, and 1002 show genetic variability, and their use is recommended in cowpea breeding programs aimed at green-grain production.
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spelling Prospection of cowpea genotypes for green-grain productionPhenotypic characteristicsIntraclass correlationParental selectionGenetic variationVigna unguiculataABSTRACT Cowpea is a nutritious species cultivated worldwide whose high genetic variability can be exploited in breeding programs. The present study aimed to identify phenotypically divergent genotypes of Vigna unguiculata (L.) Walp., from this pe rspective concerning agronomic and physiological variables aiming at green grain production. An experiment was conducted in Fortaleza – CE, to analyse 13 variables in 44 genotypes from the Active Germplasm Bank of the Federal University of Ceará. The experiment was set up in an augmented block design with four additional controls (commercial cultivars). The genetic and environmental variance components were estimated by restricted maximum likelihood, after which the intraclass correlation coefficient (ICC) was calculated. Principal components analysis, Tocher’s clustering and correlation analysis were used in the study. The variables most influenced by genetic variance were production per plant, green pod length, green grain length, grain mass per pod, and total yield, with ICC > 0.5. Principal components analysis signalled the physiological variables gs, ci, and ci.ca and the agronomic variables of green pod length, green grain mass, number of grains per pod, and earliness of production as important for differentiating between cowpea genotypes. CE genotypes 02, 151, 165, 172, 189, 244, 986, and 1002 show genetic variability, and their use is recommended in cowpea breeding programs aimed at green-grain production.Universidade Federal do Ceará2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100453Revista Ciência Agronômica v.53 2022reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20220054info:eu-repo/semantics/openAccessPessoa,Angela Maria dos SantosBertini,Cândida Hermínia Campos de MagalhãesCosta,Emanuel Magalhães daCastro,Érika Beatriz de LimaSilva,Anderson Rodrigo daMesquita,Rosilene OliveiraSilva,Ana Kelly Firmino daeng2022-08-24T00:00:00Zoai:scielo:S1806-66902022000100453Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2022-08-24T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Prospection of cowpea genotypes for green-grain production
title Prospection of cowpea genotypes for green-grain production
spellingShingle Prospection of cowpea genotypes for green-grain production
Pessoa,Angela Maria dos Santos
Phenotypic characteristics
Intraclass correlation
Parental selection
Genetic variation
Vigna unguiculata
title_short Prospection of cowpea genotypes for green-grain production
title_full Prospection of cowpea genotypes for green-grain production
title_fullStr Prospection of cowpea genotypes for green-grain production
title_full_unstemmed Prospection of cowpea genotypes for green-grain production
title_sort Prospection of cowpea genotypes for green-grain production
author Pessoa,Angela Maria dos Santos
author_facet Pessoa,Angela Maria dos Santos
Bertini,Cândida Hermínia Campos de Magalhães
Costa,Emanuel Magalhães da
Castro,Érika Beatriz de Lima
Silva,Anderson Rodrigo da
Mesquita,Rosilene Oliveira
Silva,Ana Kelly Firmino da
author_role author
author2 Bertini,Cândida Hermínia Campos de Magalhães
Costa,Emanuel Magalhães da
Castro,Érika Beatriz de Lima
Silva,Anderson Rodrigo da
Mesquita,Rosilene Oliveira
Silva,Ana Kelly Firmino da
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Pessoa,Angela Maria dos Santos
Bertini,Cândida Hermínia Campos de Magalhães
Costa,Emanuel Magalhães da
Castro,Érika Beatriz de Lima
Silva,Anderson Rodrigo da
Mesquita,Rosilene Oliveira
Silva,Ana Kelly Firmino da
dc.subject.por.fl_str_mv Phenotypic characteristics
Intraclass correlation
Parental selection
Genetic variation
Vigna unguiculata
topic Phenotypic characteristics
Intraclass correlation
Parental selection
Genetic variation
Vigna unguiculata
description ABSTRACT Cowpea is a nutritious species cultivated worldwide whose high genetic variability can be exploited in breeding programs. The present study aimed to identify phenotypically divergent genotypes of Vigna unguiculata (L.) Walp., from this pe rspective concerning agronomic and physiological variables aiming at green grain production. An experiment was conducted in Fortaleza – CE, to analyse 13 variables in 44 genotypes from the Active Germplasm Bank of the Federal University of Ceará. The experiment was set up in an augmented block design with four additional controls (commercial cultivars). The genetic and environmental variance components were estimated by restricted maximum likelihood, after which the intraclass correlation coefficient (ICC) was calculated. Principal components analysis, Tocher’s clustering and correlation analysis were used in the study. The variables most influenced by genetic variance were production per plant, green pod length, green grain length, grain mass per pod, and total yield, with ICC > 0.5. Principal components analysis signalled the physiological variables gs, ci, and ci.ca and the agronomic variables of green pod length, green grain mass, number of grains per pod, and earliness of production as important for differentiating between cowpea genotypes. CE genotypes 02, 151, 165, 172, 189, 244, 986, and 1002 show genetic variability, and their use is recommended in cowpea breeding programs aimed at green-grain production.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S1806-66902022000100453
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100453
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20220054
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 do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.53 2022
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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