Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI.
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , , |
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/507367 |
Resumo: | The grain yield of 27 soybean lines was evaluated at three locations (Anhembi, Areão and Esalq) in Piracicaba, State of São Paulo, Brazil, during four crop years to study the effect of environment (E) on the adaptability and stability of the lines (G) using additive main effects and multiplicative interaction analysis (AMMI). Effects of the G, E, and GE interaction were found to be significant and accounted for 51, 12, and 36% of the variation, respectively. The first and only significant interaction principal component axis (IPCA1) accounted for 26% of the sum of squares due to original GE interaction. This concentrated the largest proportion of the pattern of GE interaction. Environments associated with Anhembi and Esalq proved more favorable, while Areão contributed negatively to the grain yield. However, Anhembi and Areão were more predictable for the crop years. USP 93-5082 and USP 93-5243 lines combined high adaptability and stability. |
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Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI.Interação genótipo-ambienteAdaptabilidadeAdaptabilityEstabilidadeEstabilityModelo AMMIAMMI modelSemillas de sojaInteracción genotipo-ambienteRendimiento de los cultivosSojaGlycine maxRendimentoSoybeansGenotype-environment interactionCrop yieldThe grain yield of 27 soybean lines was evaluated at three locations (Anhembi, Areão and Esalq) in Piracicaba, State of São Paulo, Brazil, during four crop years to study the effect of environment (E) on the adaptability and stability of the lines (G) using additive main effects and multiplicative interaction analysis (AMMI). Effects of the G, E, and GE interaction were found to be significant and accounted for 51, 12, and 36% of the variation, respectively. The first and only significant interaction principal component axis (IPCA1) accounted for 26% of the sum of squares due to original GE interaction. This concentrated the largest proportion of the pattern of GE interaction. Environments associated with Anhembi and Esalq proved more favorable, while Areão contributed negatively to the grain yield. However, Anhembi and Areão were more predictable for the crop years. USP 93-5082 and USP 93-5243 lines combined high adaptability and stability.MAURISRAEL DE MOURA ROCHA, CPAMNNATAL ANTÔNIO VELLO, Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ)/ USPANGELA CELIS DE ALMEIDA LOPES, Universidade Federal do Piauí (UFPI)MARIA CLIDEANA CABRAL MAIA, CPAF-AC.ROCHA, M. de M.VELLO, N. A.LOPES, A. C. de A.MAIA, M. C. C.2011-04-10T11:11:11Z2011-04-10T11:11:11Z2007-10-3120042019-01-08T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCrop Breeding and Applied Biotecchnology, Viçosa, MG, v. 4, p. 391-398, 2004.ISSN 1518-7853 (impresso) / 1984-7033 (online)http://www.alice.cnptia.embrapa.br/alice/handle/doc/50736710.12702/1984-7033.v04n04a03enginfo: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:EMBRAPA2017-08-16T03:49:09Zoai:www.alice.cnptia.embrapa.br:doc/507367Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T03:49:09falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T03:49:09Repositório 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 stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI. |
title |
Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI. |
spellingShingle |
Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI. ROCHA, M. de M. Interação genótipo-ambiente Adaptabilidade Adaptability Estabilidade Estability Modelo AMMI AMMI model Semillas de soja Interacción genotipo-ambiente Rendimiento de los cultivos Soja Glycine max Rendimento Soybeans Genotype-environment interaction Crop yield |
title_short |
Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI. |
title_full |
Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI. |
title_fullStr |
Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI. |
title_full_unstemmed |
Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI. |
title_sort |
Yield stability of soybean lines using addtive main effects and multiplicative interaction analysis - AMMI. |
author |
ROCHA, M. de M. |
author_facet |
ROCHA, M. de M. VELLO, N. A. LOPES, A. C. de A. MAIA, M. C. C. |
author_role |
author |
author2 |
VELLO, N. A. LOPES, A. C. de A. MAIA, M. C. C. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
MAURISRAEL DE MOURA ROCHA, CPAMN NATAL ANTÔNIO VELLO, Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ)/ USP ANGELA CELIS DE ALMEIDA LOPES, Universidade Federal do Piauí (UFPI) MARIA CLIDEANA CABRAL MAIA, CPAF-AC. |
dc.contributor.author.fl_str_mv |
ROCHA, M. de M. VELLO, N. A. LOPES, A. C. de A. MAIA, M. C. C. |
dc.subject.por.fl_str_mv |
Interação genótipo-ambiente Adaptabilidade Adaptability Estabilidade Estability Modelo AMMI AMMI model Semillas de soja Interacción genotipo-ambiente Rendimiento de los cultivos Soja Glycine max Rendimento Soybeans Genotype-environment interaction Crop yield |
topic |
Interação genótipo-ambiente Adaptabilidade Adaptability Estabilidade Estability Modelo AMMI AMMI model Semillas de soja Interacción genotipo-ambiente Rendimiento de los cultivos Soja Glycine max Rendimento Soybeans Genotype-environment interaction Crop yield |
description |
The grain yield of 27 soybean lines was evaluated at three locations (Anhembi, Areão and Esalq) in Piracicaba, State of São Paulo, Brazil, during four crop years to study the effect of environment (E) on the adaptability and stability of the lines (G) using additive main effects and multiplicative interaction analysis (AMMI). Effects of the G, E, and GE interaction were found to be significant and accounted for 51, 12, and 36% of the variation, respectively. The first and only significant interaction principal component axis (IPCA1) accounted for 26% of the sum of squares due to original GE interaction. This concentrated the largest proportion of the pattern of GE interaction. Environments associated with Anhembi and Esalq proved more favorable, while Areão contributed negatively to the grain yield. However, Anhembi and Areão were more predictable for the crop years. USP 93-5082 and USP 93-5243 lines combined high adaptability and stability. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004 2007-10-31 2011-04-10T11:11:11Z 2011-04-10T11:11:11Z 2019-01-08T11:11:11Z |
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 |
Crop Breeding and Applied Biotecchnology, Viçosa, MG, v. 4, p. 391-398, 2004. ISSN 1518-7853 (impresso) / 1984-7033 (online) http://www.alice.cnptia.embrapa.br/alice/handle/doc/507367 10.12702/1984-7033.v04n04a03 |
identifier_str_mv |
Crop Breeding and Applied Biotecchnology, Viçosa, MG, v. 4, p. 391-398, 2004. ISSN 1518-7853 (impresso) / 1984-7033 (online) 10.12702/1984-7033.v04n04a03 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/507367 |
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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1794503429009178624 |