Yield of soybean genotypes identified through GGE biplot and path analysis.

Detalhes bibliográficos
Autor(a) principal: SILVA, W. J. dos S.
Data de Publicação: 2022
Outros Autores: ALCANTARA NETO, F. de, AL-QAHTANI, W. H., OKLA, M. K., AL-HASHIMI, A., VIEIRA, P. F. de M. J., GRAVINA, G. de A., ZUFFO, A. M., DUTRA, A. F., CARVALHO, L. C. B., SOUSA, R. S. de, PEREIRA, A. P. de A., LEITE, W. de S., SILVA JUNIOR, G. B. da, SILVA, A. C. da, LEITE, M. R. L., LUSTOSA SOBRINHO, R., ABDELGAWAD, H.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147354
https://doi.org/10.1371/journal. pone.0274726
Resumo: Genotype x environment (GxE) interaction is an important source of variation in soybean yield, which can significantly influence selection in breeding programs. This study aimed to select superior soybean genotypes for performance and yield stability, from data from multienvironment trials (METs), through GGE biplot analysis that combines the main effects of the genotype (G) plus the genotype-by-environment (G×E) interaction. As well as, through path analysis, determine the direct and indirect influences of yield components on soybean grain yield, as a genotype selection strategy.
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spelling Yield of soybean genotypes identified through GGE biplot and path analysis.Interação genótipo x ambienteSojaProdutividadeGenótipoGenotype x environment (GxE) interaction is an important source of variation in soybean yield, which can significantly influence selection in breeding programs. This study aimed to select superior soybean genotypes for performance and yield stability, from data from multienvironment trials (METs), through GGE biplot analysis that combines the main effects of the genotype (G) plus the genotype-by-environment (G×E) interaction. As well as, through path analysis, determine the direct and indirect influences of yield components on soybean grain yield, as a genotype selection strategy.WELDER JOSE DOS SANTOS SILVA, FEDERAL UNIVERSITY OF PIAUI; FRANCISCO DE ALCANTARA NETO, FEDERAL UNIVERSITY OF PIAUI; WAHIDAH H. AL-QAHTANI, COLLEGE OF FOOD AND AGRICULTURAL SCIENCES, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; MOHAMMAD K. OKLA, COLLEGE OF SCIENCE, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; ABDULRAHMAN AL-HASHIMI, COLLEGE OF SCIENCE, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; GERALDO DE AMARAL GRAVINA, STATE UNIVERSITY OF THE NORTH FLUMINENSE DARCY RIBEIRO, RIO DE JANEIRO, BRAZIL; ALAN MARIO ZUFFO, STATE UNIVERSITY OF MARANHÃO, BALSAS, MARANHÃO, BRAZIL; ALEXSON FILGUEIRAS DUTRA, FEDERAL UNIVERSITY OF PIAUI; LEONARDO CASTELO BRANCO CARVALHO, FEDERAL RURAL UNIVERSITY OF THE AMAZONIA; RICARDO SILVA DE SOUSA, FEDERAL UNIVERSITY OF PIAUI; ARTHUR PRUDÊNCIO DE ARAUJO PEREIRA, FEDERAL UNIVERSITY OF CEARA; WALLACE DE SOUSA LEITE, FEDERAL UNIVERSITY OF PIAUI; GABRIEL BARBOSA DA SILVA JUNIOR, FEDERAL UNIVERSITY OF PIAUI; ADRIANA CONCEIÇAO DA SILVA, FEDERAL UNIVERSITY OF PIAUI; MARCOS RENAN LIMA LEITE, FEDERAL UNIVERSITY OF PIAUI; RENATO LUSTOSA SOBRINHO, FEDERAL UNIVERSITY OF TECHNOLOGY, PATO BRANCO, PARANA, BRAZIL; HAMADA ABDELGAWAD, UNIVERSITY OF ANTWERP, ANTWERPEN, BELGIUM.SILVA, W. J. dos S.ALCANTARA NETO, F. deAL-QAHTANI, W. H.OKLA, M. K.AL-HASHIMI, A.VIEIRA, P. F. de M. J.GRAVINA, G. de A.ZUFFO, A. M.DUTRA, A. F.CARVALHO, L. C. B.SOUSA, R. S. dePEREIRA, A. P. de A.LEITE, W. de S.SILVA JUNIOR, G. B. daSILVA, A. C. daLEITE, M. R. L.LUSTOSA SOBRINHO, R.ABDELGAWAD, H.2022-10-17T14:08:46Z2022-10-17T14:08:46Z2022-10-172022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePLOS ONE, v. 17, n. 10, e0274726, 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147354https://doi.org/10.1371/journal. pone.0274726enginfo: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:EMBRAPA2022-10-17T14:08:54Zoai:www.alice.cnptia.embrapa.br:doc/1147354Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-10-17T14:08:54falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-10-17T14:08:54Repositório 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 Yield of soybean genotypes identified through GGE biplot and path analysis.
title Yield of soybean genotypes identified through GGE biplot and path analysis.
spellingShingle Yield of soybean genotypes identified through GGE biplot and path analysis.
SILVA, W. J. dos S.
Interação genótipo x ambiente
Soja
Produtividade
Genótipo
title_short Yield of soybean genotypes identified through GGE biplot and path analysis.
title_full Yield of soybean genotypes identified through GGE biplot and path analysis.
title_fullStr Yield of soybean genotypes identified through GGE biplot and path analysis.
title_full_unstemmed Yield of soybean genotypes identified through GGE biplot and path analysis.
title_sort Yield of soybean genotypes identified through GGE biplot and path analysis.
author SILVA, W. J. dos S.
author_facet SILVA, W. J. dos S.
ALCANTARA NETO, F. de
AL-QAHTANI, W. H.
OKLA, M. K.
AL-HASHIMI, A.
VIEIRA, P. F. de M. J.
GRAVINA, G. de A.
ZUFFO, A. M.
DUTRA, A. F.
CARVALHO, L. C. B.
SOUSA, R. S. de
PEREIRA, A. P. de A.
LEITE, W. de S.
SILVA JUNIOR, G. B. da
SILVA, A. C. da
LEITE, M. R. L.
LUSTOSA SOBRINHO, R.
ABDELGAWAD, H.
author_role author
author2 ALCANTARA NETO, F. de
AL-QAHTANI, W. H.
OKLA, M. K.
AL-HASHIMI, A.
VIEIRA, P. F. de M. J.
GRAVINA, G. de A.
ZUFFO, A. M.
DUTRA, A. F.
CARVALHO, L. C. B.
SOUSA, R. S. de
PEREIRA, A. P. de A.
LEITE, W. de S.
SILVA JUNIOR, G. B. da
SILVA, A. C. da
LEITE, M. R. L.
LUSTOSA SOBRINHO, R.
ABDELGAWAD, H.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv WELDER JOSE DOS SANTOS SILVA, FEDERAL UNIVERSITY OF PIAUI; FRANCISCO DE ALCANTARA NETO, FEDERAL UNIVERSITY OF PIAUI; WAHIDAH H. AL-QAHTANI, COLLEGE OF FOOD AND AGRICULTURAL SCIENCES, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; MOHAMMAD K. OKLA, COLLEGE OF SCIENCE, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; ABDULRAHMAN AL-HASHIMI, COLLEGE OF SCIENCE, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; GERALDO DE AMARAL GRAVINA, STATE UNIVERSITY OF THE NORTH FLUMINENSE DARCY RIBEIRO, RIO DE JANEIRO, BRAZIL; ALAN MARIO ZUFFO, STATE UNIVERSITY OF MARANHÃO, BALSAS, MARANHÃO, BRAZIL; ALEXSON FILGUEIRAS DUTRA, FEDERAL UNIVERSITY OF PIAUI; LEONARDO CASTELO BRANCO CARVALHO, FEDERAL RURAL UNIVERSITY OF THE AMAZONIA; RICARDO SILVA DE SOUSA, FEDERAL UNIVERSITY OF PIAUI; ARTHUR PRUDÊNCIO DE ARAUJO PEREIRA, FEDERAL UNIVERSITY OF CEARA; WALLACE DE SOUSA LEITE, FEDERAL UNIVERSITY OF PIAUI; GABRIEL BARBOSA DA SILVA JUNIOR, FEDERAL UNIVERSITY OF PIAUI; ADRIANA CONCEIÇAO DA SILVA, FEDERAL UNIVERSITY OF PIAUI; MARCOS RENAN LIMA LEITE, FEDERAL UNIVERSITY OF PIAUI; RENATO LUSTOSA SOBRINHO, FEDERAL UNIVERSITY OF TECHNOLOGY, PATO BRANCO, PARANA, BRAZIL; HAMADA ABDELGAWAD, UNIVERSITY OF ANTWERP, ANTWERPEN, BELGIUM.
dc.contributor.author.fl_str_mv SILVA, W. J. dos S.
ALCANTARA NETO, F. de
AL-QAHTANI, W. H.
OKLA, M. K.
AL-HASHIMI, A.
VIEIRA, P. F. de M. J.
GRAVINA, G. de A.
ZUFFO, A. M.
DUTRA, A. F.
CARVALHO, L. C. B.
SOUSA, R. S. de
PEREIRA, A. P. de A.
LEITE, W. de S.
SILVA JUNIOR, G. B. da
SILVA, A. C. da
LEITE, M. R. L.
LUSTOSA SOBRINHO, R.
ABDELGAWAD, H.
dc.subject.por.fl_str_mv Interação genótipo x ambiente
Soja
Produtividade
Genótipo
topic Interação genótipo x ambiente
Soja
Produtividade
Genótipo
description Genotype x environment (GxE) interaction is an important source of variation in soybean yield, which can significantly influence selection in breeding programs. This study aimed to select superior soybean genotypes for performance and yield stability, from data from multienvironment trials (METs), through GGE biplot analysis that combines the main effects of the genotype (G) plus the genotype-by-environment (G×E) interaction. As well as, through path analysis, determine the direct and indirect influences of yield components on soybean grain yield, as a genotype selection strategy.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-17T14:08:46Z
2022-10-17T14:08:46Z
2022-10-17
2022
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 PLOS ONE, v. 17, n. 10, e0274726, 2022.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147354
https://doi.org/10.1371/journal. pone.0274726
identifier_str_mv PLOS ONE, v. 17, n. 10, e0274726, 2022.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147354
https://doi.org/10.1371/journal. pone.0274726
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
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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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