Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1065996
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dc.contributor.authorSILVA FILHO, J. L. dapt_BR
dc.contributor.authorMORELLO, C. de L.pt_BR
dc.contributor.authorSUASSUNA, N. D.pt_BR
dc.contributor.authorFARIAS, F. J. C.pt_BR
dc.contributor.authorLAMAS, F. M.pt_BR
dc.contributor.authorPEDROSA, M. B.pt_BR
dc.contributor.authorRIBEIRO, J. L.pt_BR
dc.contributor.authorSUASSUNA, T. de M. F.pt_BR
dc.date.accessioned2017-03-03T11:11:11Zpt_BR
dc.date.available2017-03-03T11:11:11Zpt_BR
dc.date.created2017-03-03pt_BR
dc.date.issued2017pt_BR
dc.identifier.citationCrop Breeding and Applied Biotechnology, v. 17, p. 32-39, 2017.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1065996pt_BR
dc.descriptionCottonseed yield data of 17 genotypes, of which two genotypes contributed to more than 30% of the total ecovalence, and grown in 23 locations, were used to compare four methods of disjoint environmental stratification: a) environmental index (Ie): favorable or unfavorable environments; b) stratification in partitions that maximize the sum of squares of the genotype x partition interaction [(GP)m]; c) environmental scores of the second principal component of the GGE analysis (PC2-GGE); d) environmental scores of the first principal component of the AMMI analysis (PC1-AMMI). Scenarios were simulated (10,000 simulations per scenario) using combination of nine or 13 environments and 11 genotypes, either including or excluding those with the highest ecovalence values. In all scenarios, the greatest selection gains were obtained via PC2-GGE stratification, and the lowest selection gains were obtained via Ie. The ecovalences of the genotypes influenced the results obtained using the stratification methods.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.titleEnvironmental stratification in cotton in the presence or absence of genotypes with high ecovalence.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2018-01-16T11:11:11Zpt_BR
dc.subject.thesagroGossypium hirsutumpt_BR
dc.subject.thesagroAlgodãopt_BR
dc.subject.thesagroGenótipopt_BR
dc.subject.nalthesaurusCottonpt_BR
dc.subject.nalthesaurusCottonseedpt_BR
riaa.ainfo.id1065996pt_BR
riaa.ainfo.lastupdate2018-01-16 -02:00:00pt_BR
dc.identifier.doi10.1590/1984- 70332017v17n1a5pt_BR
dc.contributor.institutionJOAO LUIS DA SILVA FILHO, CNPA; CAMILO DE LELIS MORELLO, CNPA; NELSON DIAS SUASSUNA, CNPA; FRANCISCO JOSE CORREIA FARIAS, CNPA; FERNANDO MENDES LAMAS, CPAO; MURILO BARROS PEDROSA, FUNDAÇÃO BAHIA; JOSE LOPES RIBEIRO, CPAMN; TAIS DE MORAES FALLEIRO SUASSUNA, CNPA.pt_BR
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