Yield stability of soybean lines using additive 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/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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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 |
_version_ |
1794503416119033856 |