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

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.; 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.

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

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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Main Authors:	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.
Other Authors:	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.
Format:	Artigo de periódico biblioteca
Language:	Ingles English
Published:	PLOS ONE, v. 17, n. 10, e0274726, 2022. 2022-10-17
Subjects:	Interação genótipo x ambiente, Soja, Produtividade, Genótipo,
Online Access:	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147354 https://doi.org/10.1371/journal. pone.0274726
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id	dig-alice-doc-1147354
record_format	koha
spelling	dig-alice-doc-11473542022-10-17T14:08:54Z Yield of soybean genotypes identified through GGE biplot and path analysis. 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. 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. Interação genótipo x ambiente Soja Produtividade Genótipo 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. 2022-10-17T14:08:46Z 2022-10-17T14:08:46Z 2022-10-17 2022 Artigo de periódico http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147354 https://doi.org/10.1371/journal. pone.0274726 Ingles en openAccess PLOS ONE, v. 17, n. 10, e0274726, 2022.
institution	EMBRAPA
collection	DSpace
country	Brasil
countrycode	BR
component	Bibliográfico
access	En linea
databasecode	dig-alice
tag	biblioteca
region	America del Sur
libraryname	Sistema de bibliotecas de EMBRAPA
language	Ingles English
topic	Interação genótipo x ambiente Soja Produtividade Genótipo Interação genótipo x ambiente Soja Produtividade Genótipo
spellingShingle	Interação genótipo x ambiente Soja Produtividade Genótipo Interação genótipo x ambiente Soja Produtividade Genótipo 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. Yield of soybean genotypes identified through GGE biplot and path analysis.
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.
author2	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.
author_facet	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. 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.
format	Artigo de periódico
topic_facet	Interação genótipo x ambiente Soja Produtividade Genótipo
author	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_sort	SILVA, W. J. dos S.
title	Yield of soybean genotypes identified through GGE biplot and path analysis.
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.
publisher	PLOS ONE, v. 17, n. 10, e0274726, 2022.
publishDate	2022-10-17
url	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1147354 https://doi.org/10.1371/journal. pone.0274726
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Yield of soybean genotypes identified through GGE biplot and path analysis.

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