Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1080183
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dc.contributor.authorRAMOS JUNIOR, E. U.
dc.contributor.authorBROGIN, R. L.
dc.contributor.authorGODINHO, V. de P. C.
dc.contributor.authorBOTELHO, F. J. E.
dc.contributor.authorTARDIN, F. D.
dc.contributor.authorTEODORO, P. D.
dc.date.accessioned2017-11-20T23:30:25Z-
dc.date.available2017-11-20T23:30:25Z-
dc.date.created2017-11-20
dc.date.issued2017
dc.identifier.citationGenetics and Molecular Research, v. 16, n. 3, gmr16039786, 2017.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1080183-
dc.descriptionBiplot analysis has often been used to recommend genotypes from different crops in the presence of the genotype x environment interaction (GxE). The objective of this study was to verify the association between the AMMI and GGE biplot methods and to select soybean genotypes that simultaneously meet high grain yield and stability to the environments belonging to the Edaphoclimatic Region 402, from Soybean Cultivation Region 4 (Mid-West), which comprises the Center North and West of Mato Grosso, and the southern region of Rondônia. Grain yield of 12 soybean genotypes was evaluated in seven competition trials of soybean cultivars in the 2014/2015 harvest. Significant GxE interaction revealed the need to use methods for recommending genotypes with adaptability and yield stability. The methods were complementary regarding the recommendation of the best genotypes. The AMMI analysis recommended MG/BR46 (Conquista) (G10) widely for all environments evaluated, whereas the BRY23-55012 (G9) and BRAS11-0149 (G2) were the most indicated genotypes by the GGE biplot method. However, the methods were concordant as to Porto Velho (PV1) environment that contributed least to the GxE interaction.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSoybean
dc.subjectMacro region
dc.subjectGenotypes
dc.titleIdentification of soybean genotypes with higt stability for the Brazilian macro - region 402 via biplot analysis.
dc.typeArtigo de periódico
dc.date.updated2017-11-27T11:11:11Zpt_BR
riaa.ainfo.id1080183
riaa.ainfo.lastupdate2017-11-27 -02:00:00
dc.contributor.institutionRODRIGO LUIS BROGIN, CNPSO; VICENTE DE PAULO CAMPOS GODINHO, CPAF-Rondonia; FLAVIO DESSAUNE TARDIN, CNPMS.pt_BR
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