Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139293
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dc.contributor.authorBOTELHO, T. T.
dc.contributor.authorLEITE, P. S. da S.
dc.contributor.authorPARRELLA, R. A. da C.
dc.contributor.authorNUNES, J. A. R.
dc.date.accessioned2022-01-25T12:01:00Z-
dc.date.available2022-01-25T12:01:00Z-
dc.date.created2022-01-25
dc.date.issued2021
dc.identifier.citationCrop Breeding and Applied Biotechnology, v. 21, n. 4, e388221410, 2021.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1139293-
dc.descriptionThe selection of sweet sorghum genotypes is based on multiple agronomical and technological traits. The objectives of this study were to evaluate the effectiveness of inter-trait recovery information in improving the selective accuracy of the predicted genetic values of sweet sorghum progenies, and to compare several selection indices in terms of selection gains using single- and multi-trait mixed models. The trials were conducted in two sites. The traits flowering time, plant height, green mass production, total soluble solids content, and tons of Brix per hectare were assessed. Significant genetic variance was observed for all traits, except for total soluble solids content. The multi-trait analysis provided more accurate estimates of genetic parameters and predictions of the progeny genetic values, and higher selection gain than the singletrait analysis. The direct selection for TBH and the FAI/BLUP index resulted in balanced genetic gains for the assessed traits.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectBLUP
dc.subjectREML
dc.subjectCorrelação genética
dc.titleStrategies for multi-trait selection of sweet sorghum progenies.
dc.typeArtigo de periódico
dc.subject.thesagroSorghum Bicolor
dc.subject.thesagroÍndice de Seleção
dc.subject.thesagroSorgo
dc.subject.nalthesaurusSelection index
dc.subject.nalthesaurusGenetic correlation
riaa.ainfo.id1139293
riaa.ainfo.lastupdate2022-01-25
dc.identifier.doihttp://dx.doi.org/10.1590/1984-70332021v21n4a59
dc.contributor.institutionTHIAGO TAVARES BOTELHO, Universidade Federal de Lavras; PAKIZZA SHERMA DA SILVA LEITE, Universidade Federal de Lavras; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; JOSÉ AIRTON RODRIGUES NUNES, Universidade Federal de Lavras.
Aparece nas coleções:Artigo em periódico indexado (CNPMS)

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