Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI.

Detalhes bibliográficos
Autor(a) principal: ROCHA, M. de M.
Data de Publicação: 2004
Outros Autores: VELLO, N. A., LOPES, Â. C. de A., MAIA, M. C. C.
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/1034753
Resumo: The grain yield of 27 soyabean lines was evaluated at 3 locations (Anhembi, Areao and Esalq) in Piracicaba, Sao Paulo, Brazil, during 4 crop years (1996/97-1999/2000) to study the effect of environment (E) on the adaptability and stability of the lines (G) using additive main effects and multiplicative interaction analysis. Effects of G, E, and GE interaction were significant and accounted for 51, 12, and 36% of the variation, respectively. The first and only significant interaction principal component axis 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 favourable, while Areao contributed negatively to the grain yield. However, Anhembi and Areao were more predictable for the crop years. USP 93-5082 and USP 93-5243 lines combined high adaptability and stability.
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spelling Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI.Interação GEPrevisibilidadeAMMI modelGE InteractionPredictabilityGlycine MaxSojaThe grain yield of 27 soyabean lines was evaluated at 3 locations (Anhembi, Areao and Esalq) in Piracicaba, Sao Paulo, Brazil, during 4 crop years (1996/97-1999/2000) to study the effect of environment (E) on the adaptability and stability of the lines (G) using additive main effects and multiplicative interaction analysis. Effects of G, E, and GE interaction were significant and accounted for 51, 12, and 36% of the variation, respectively. The first and only significant interaction principal component axis 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 favourable, while Areao contributed negatively to the grain yield. However, Anhembi and Areao were more predictable for the crop years. USP 93-5082 and USP 93-5243 lines combined high adaptability and stability.MAURISRAEL DE MOURA ROCHA, CPAMN; NATAL ANTONIO VELLO, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo; ÂNGELA CELIS DE ALMEIDA LOPES, UFPI; MARIA CLIDEANA CABRAL MAIA, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo.ROCHA, M. de M.VELLO, N. A.LOPES, Â. C. de A.MAIA, M. C. C.2016-01-21T11:11:11Z2016-01-21T11:11:11Z2016-01-2120042016-01-21T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCrop Breeding and Applied Biotechnology, Viçosa, MG, v. 4, n. 4, p. 391-398, Dec. 2004.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1034753enginfo: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:EMBRAPA2017-08-16T03:33:16Zoai:www.alice.cnptia.embrapa.br:doc/1034753Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T03:33:16falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T03:33:16Repositório 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 additive main effects and multiplicative interaction analysis - AMMI.
title Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI.
spellingShingle Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI.
ROCHA, M. de M.
Interação GE
Previsibilidade
AMMI model
GE Interaction
Predictability
Glycine Max
Soja
title_short Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI.
title_full Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI.
title_fullStr Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI.
title_full_unstemmed Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI.
title_sort Yield stability of soybean lines using additive main effects and multiplicative interaction analysis - AMMI.
author ROCHA, M. de M.
author_facet ROCHA, M. de M.
VELLO, N. A.
LOPES, Â. C. de A.
MAIA, M. C. C.
author_role author
author2 VELLO, N. A.
LOPES, Â. C. de A.
MAIA, M. C. C.
author2_role author
author
author
dc.contributor.none.fl_str_mv MAURISRAEL DE MOURA ROCHA, CPAMN; NATAL ANTONIO VELLO, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo; ÂNGELA CELIS DE ALMEIDA LOPES, UFPI; MARIA CLIDEANA CABRAL MAIA, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo.
dc.contributor.author.fl_str_mv ROCHA, M. de M.
VELLO, N. A.
LOPES, Â. C. de A.
MAIA, M. C. C.
dc.subject.por.fl_str_mv Interação GE
Previsibilidade
AMMI model
GE Interaction
Predictability
Glycine Max
Soja
topic Interação GE
Previsibilidade
AMMI model
GE Interaction
Predictability
Glycine Max
Soja
description The grain yield of 27 soyabean lines was evaluated at 3 locations (Anhembi, Areao and Esalq) in Piracicaba, Sao Paulo, Brazil, during 4 crop years (1996/97-1999/2000) to study the effect of environment (E) on the adaptability and stability of the lines (G) using additive main effects and multiplicative interaction analysis. Effects of G, E, and GE interaction were significant and accounted for 51, 12, and 36% of the variation, respectively. The first and only significant interaction principal component axis 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 favourable, while Areao contributed negatively to the grain yield. However, Anhembi and Areao 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
2016-01-21T11:11:11Z
2016-01-21T11:11:11Z
2016-01-21
2016-01-21T11:11:11Z
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 Biotechnology, Viçosa, MG, v. 4, n. 4, p. 391-398, Dec. 2004.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1034753
identifier_str_mv Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 4, n. 4, p. 391-398, Dec. 2004.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1034753
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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