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dc.contributor.authorDELGADO, I. D.eng
dc.contributor.authorGONÇALVES, F. M. A.eng
dc.contributor.authorPARRELLA, R. A. da C.eng
dc.contributor.authorCASTRO, F. M. R. deeng
dc.contributor.authorNUNES, J. A. R.eng
dc.date.accessioned2020-03-11T18:08:09Z-
dc.date.available2020-03-11T18:08:09Z-
dc.date.created2020-03-11
dc.date.issued2019
dc.identifier.citationBragantia, V. 78, n. 4, p. 509-521, 2019.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1121132-
dc.descriptionBiomass sorghum is an alternative feedstock to cogenerate energy and produce second-generation ethanol. The aim of this study was to evaluate the Genotype by Environment Interaction (GEI) in biomass sorghum and to identify the hybrids that associate high adaptability and stability using the Toler nonlinear regression, the Genotypes plus Genotype by Environment (GGE) biplot, and the Annicchiarico recommendation index. Thirty-three experimental photoperiod-sensitive single-cross hybrids and three checks were evaluated in relation to the traits: flowering time, plant height, moisture content, green mass yield, and dry mass yield. It was observed that the effects of hybrids, environment, and GEI were expressive. The GEI was predominantly complex for the traits related to the biomass yield. The Toler, GGE biplot and Annicchiarico methods show complementarity. The experimental hybrids 1, 8, 22, 31 and 33 are promising because of associating stability and lower recommendation risk. The hybrids 1 and 8 present broad adaptability, while the hybrids 22, 31 and 33 exhibit specific adaptability to high quality environments.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectCruz simpleseng
dc.subjectRegressão não linear de Tolereng
dc.subjectBiplot GGEeng
dc.titleGenotype by environment interaction and adaptability of photoperiod-sensitive biomass sorghum hybrids.eng
dc.typeArtigo de periódicoeng
dc.date.updated2020-03-11T18:08:09Z
dc.subject.thesagroSorgoeng
dc.subject.thesagroBiomassaeng
riaa.ainfo.id1121132eng
riaa.ainfo.lastupdate2020-03-11
dc.identifier.doi10.1590/1678-4499.20190028eng
dc.contributor.institutionIvan Dario Delgado, Universidade Federal de Lavras; Flávia Maria Avelar Gonçalves, Universidade Federal de Lavras; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; Fernanda Maria Rodrigues de Castro, Universidade Federal de Lavras; José Airton Rodrigues Nunes, Universidade Federal de Lavras.eng
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