Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.

Bibliographic Details
Main Author: ARAÚJO, K. C.
Publication Date: 2021
Other Authors: OLIVEIRA, T. R. A. de, GRAVINA, G. de A., ROCHA, M. de M., ALCÂNTARA NETO, F. de, OLIVEIRA, G. H. F. de, CRUZ, D. P. da, SANT'ANNA, C. Q. da S. S. de, GRAVINA, L. M., ROCHA, R. S., PEREIRA, I. M.
Format: Article
Language: eng
Source: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Download full: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131860
Summary: Cowpea bean is a common crop quite appreciated in Brazil. However, it is known that its low yield depending on soil and climatic conditions. The aim of this research is the selection of high-performance black-eyed cowpea through GYT biplot analysis. Twelve (12) cowpea bean strains were assessed between 2016 and. The study followed a randomized complete block design, with four repetitions; two commercial cultivars were used ascheck. The following variables were assessed: number of days required for flowering, final stand, value for cultivation, pod yield, pod length, mean number of grains per pod and grain weight. The analysis of variance showed genetic variability between strains, differences between the assessed years and different strain-performance in each growing year. Based on the GYT biplot graph, cultivar BRS Itaim, and strains L9 and L7 recorded the best performance for the set of yield characteristics. Variable ?pod length? had positive correlation to bedding, number of days required for flowering and number of grains per pod. Variable ?100-grain weight? had positive correlation to final stand, pod yield and mean grain weight per pod. Strains L9, L7 and cultivar BRS Itaim recorded the best yield regarding the assessed variables.
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spelling Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.Associações de traçosAnálise de variânciaVigna UnguiculataVariedadeCowpea bean is a common crop quite appreciated in Brazil. However, it is known that its low yield depending on soil and climatic conditions. The aim of this research is the selection of high-performance black-eyed cowpea through GYT biplot analysis. Twelve (12) cowpea bean strains were assessed between 2016 and. The study followed a randomized complete block design, with four repetitions; two commercial cultivars were used ascheck. The following variables were assessed: number of days required for flowering, final stand, value for cultivation, pod yield, pod length, mean number of grains per pod and grain weight. The analysis of variance showed genetic variability between strains, differences between the assessed years and different strain-performance in each growing year. Based on the GYT biplot graph, cultivar BRS Itaim, and strains L9 and L7 recorded the best performance for the set of yield characteristics. Variable ?pod length? had positive correlation to bedding, number of days required for flowering and number of grains per pod. Variable ?100-grain weight? had positive correlation to final stand, pod yield and mean grain weight per pod. Strains L9, L7 and cultivar BRS Itaim recorded the best yield regarding the assessed variables.KLEBERSON CORDEIRO ARAÚJO, UENF, Campos dos Goytacazes, RJ, Brasil; TÂMARA REBECCA ALBUQUERQUE DE OLIVEIRA; GERALDO DE AMARAL GRAVINA, UENF, Campos dos Goytacazes, RJ, Brasil; MAURISRAEL DE MOURA ROCHA, CPAMN; FRANCISCO DE ALCÂNTARA NETO, UFPI; GUSTAVO HUGO FERREIRA DE OLIVEIRA, UFS, Campus do Sertão, Nossa Senhora da Glória, SE, Brasil; DERIVALDO PUREZA DA CRUZ, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; CAMILA QUEIROZ DA SILVA SANFIM DE SANT'ANNA, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; LILIA MARQUES GRAVINA, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; RICHARDSON SALES ROCHA, UENF, Campos dos Goytacazes, RJ, Brasil; ISRAEL MARTINS PEREIRA, UENF, Campos dos Goytacazes, RJ, Brasil.ARAÚJO, K. C.OLIVEIRA, T. R. A. deGRAVINA, G. de A.ROCHA, M. de M.ALCÂNTARA NETO, F. deOLIVEIRA, G. H. F. deCRUZ, D. P. daSANT'ANNA, C. Q. da S. S. deGRAVINA, L. M.ROCHA, R. S.PEREIRA, I. M.2021-05-18T13:26:23Z2021-05-18T13:26:23Z2021-05-182021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAustralian Journal of Crop Science, v. 15, p. 464-469, 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131860enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2021-05-18T13:26:33Zoai:www.alice.cnptia.embrapa.br:doc/1131860Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542021-05-18T13:26:33falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-05-18T13:26:33Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.
title Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.
spellingShingle Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.
ARAÚJO, K. C.
Associações de traços
Análise de variância
Vigna Unguiculata
Variedade
title_short Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.
title_full Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.
title_fullStr Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.
title_full_unstemmed Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.
title_sort Selection of high-performance black-eyed cowpea (Vigna unguiculata) through GYT biplot analysis: a new methodology based on multiple characteristics.
author ARAÚJO, K. C.
author_facet ARAÚJO, K. C.
OLIVEIRA, T. R. A. de
GRAVINA, G. de A.
ROCHA, M. de M.
ALCÂNTARA NETO, F. de
OLIVEIRA, G. H. F. de
CRUZ, D. P. da
SANT'ANNA, C. Q. da S. S. de
GRAVINA, L. M.
ROCHA, R. S.
PEREIRA, I. M.
author_role author
author2 OLIVEIRA, T. R. A. de
GRAVINA, G. de A.
ROCHA, M. de M.
ALCÂNTARA NETO, F. de
OLIVEIRA, G. H. F. de
CRUZ, D. P. da
SANT'ANNA, C. Q. da S. S. de
GRAVINA, L. M.
ROCHA, R. S.
PEREIRA, I. M.
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv KLEBERSON CORDEIRO ARAÚJO, UENF, Campos dos Goytacazes, RJ, Brasil; TÂMARA REBECCA ALBUQUERQUE DE OLIVEIRA; GERALDO DE AMARAL GRAVINA, UENF, Campos dos Goytacazes, RJ, Brasil; MAURISRAEL DE MOURA ROCHA, CPAMN; FRANCISCO DE ALCÂNTARA NETO, UFPI; GUSTAVO HUGO FERREIRA DE OLIVEIRA, UFS, Campus do Sertão, Nossa Senhora da Glória, SE, Brasil; DERIVALDO PUREZA DA CRUZ, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; CAMILA QUEIROZ DA SILVA SANFIM DE SANT'ANNA, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; LILIA MARQUES GRAVINA, UENF, Brasil Campos dos Goytacazes, RJ, Brasil; RICHARDSON SALES ROCHA, UENF, Campos dos Goytacazes, RJ, Brasil; ISRAEL MARTINS PEREIRA, UENF, Campos dos Goytacazes, RJ, Brasil.
dc.contributor.author.fl_str_mv ARAÚJO, K. C.
OLIVEIRA, T. R. A. de
GRAVINA, G. de A.
ROCHA, M. de M.
ALCÂNTARA NETO, F. de
OLIVEIRA, G. H. F. de
CRUZ, D. P. da
SANT'ANNA, C. Q. da S. S. de
GRAVINA, L. M.
ROCHA, R. S.
PEREIRA, I. M.
dc.subject.por.fl_str_mv Associações de traços
Análise de variância
Vigna Unguiculata
Variedade
topic Associações de traços
Análise de variância
Vigna Unguiculata
Variedade
description Cowpea bean is a common crop quite appreciated in Brazil. However, it is known that its low yield depending on soil and climatic conditions. The aim of this research is the selection of high-performance black-eyed cowpea through GYT biplot analysis. Twelve (12) cowpea bean strains were assessed between 2016 and. The study followed a randomized complete block design, with four repetitions; two commercial cultivars were used ascheck. The following variables were assessed: number of days required for flowering, final stand, value for cultivation, pod yield, pod length, mean number of grains per pod and grain weight. The analysis of variance showed genetic variability between strains, differences between the assessed years and different strain-performance in each growing year. Based on the GYT biplot graph, cultivar BRS Itaim, and strains L9 and L7 recorded the best performance for the set of yield characteristics. Variable ?pod length? had positive correlation to bedding, number of days required for flowering and number of grains per pod. Variable ?100-grain weight? had positive correlation to final stand, pod yield and mean grain weight per pod. Strains L9, L7 and cultivar BRS Itaim recorded the best yield regarding the assessed variables.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-18T13:26:23Z
2021-05-18T13:26:23Z
2021-05-18
2021
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Australian Journal of Crop Science, v. 15, p. 464-469, 2021.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131860
identifier_str_mv Australian Journal of Crop Science, v. 15, p. 464-469, 2021.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131860
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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