Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1068104
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dc.contributor.authorCASTRILLON, M. A. de S.pt_BR
dc.contributor.authorBARELLI, M. A. A.pt_BR
dc.contributor.authorVENDRUSCOLO, T. P. S.pt_BR
dc.contributor.authorSILVA, R. S. dapt_BR
dc.contributor.authorOLIVEIRA, F. T. dept_BR
dc.contributor.authorLIMA, C. C.pt_BR
dc.contributor.authorZAGO, B. W.pt_BR
dc.contributor.authorTARDIN, F. D.pt_BR
dc.date.accessioned2017-04-05T11:37:01Z-
dc.date.available2017-04-05T11:37:01Z-
dc.date.created2017-04-04pt_BR
dc.date.issued2017pt_BR
dc.identifier.citationInternational Journal of Current Research, v. 9, n. 1, p. 45076-45081, Jan. 2017.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1068104pt_BR
dc.descriptionThis study aimed to evaluate the genetic diversity of biomass and saccharin sorghum genotypes, based on 19 agronomic traits by the means of multicategorical variables. The experiment was conducted in the experimental area of the University of the State of Mato Grosso/UNEMAT, in Cáceres. We evaluated 25 genotypes of saccharin sorghum and 36 genotypes of biomass sorghum, in a randomized complete-block design with three replications. The data were submitted to three clustering methods, Tocher optimization, UPGMA hierarchical and Projection distances in 3D plan and comparing their results. The study showed the most divergent genotypes and the behavior of the three methods, which have proved partially concordant in the grouping of genotypes. The combined use of the clustering methods enabled a more accurate assessment for inference, and evidence the existence of genetic variability among saccharin and biomass sorghum genotypes.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectAnálise multivariadapt_BR
dc.subjectVariabilidade genéticapt_BR
dc.titleMulticategorical variables for determining the genetic divergence among biomass and saccharin sorghum genotypes.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-10-16T11:11:11Zpt_BR
dc.subject.thesagroSorghum bicolorpt_BR
dc.subject.thesagroMétodo estatísticopt_BR
riaa.ainfo.id1068104pt_BR
riaa.ainfo.lastupdate2017-10-16 -02:00:00pt_BR
dc.contributor.institutionMarcilene Alves de Souza Castrillon, UNEMAT; Marco Antonio Aparecido Barelli, UNEMAT; Taiana Paula Streck Vendruscolo, UNEMAT; Raiane Scandiane da Silva, UNEMAT; Fábio Tomaz de Oliveira, UNEMAT; Carla Corrêa Lima, UNEMAT; Bruno Wagner Zago, UNEMAT; FLAVIO DESSAUNE TARDIN, CNPMS.pt_BR
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