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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/76471
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dc.creatorNermy Ribeiro Valadarespt_BR
dc.creatorAna Clara Gonçalves Fernandespt_BR
dc.creatorClovis Henrique Oliveira Rodriguespt_BR
dc.creatorLis Lorena Melúcio Guedespt_BR
dc.creatorJailson Ramos Magalhãespt_BR
dc.creatorRayane Aguiar Alvespt_BR
dc.creatorValter Carvalho de Andrade Júniorpt_BR
dc.creatorAlcinei Mistico Azevedopt_BR
dc.date.accessioned2024-09-16T11:33:03Z-
dc.date.available2024-09-16T11:33:03Z-
dc.date.issued2023-
dc.citation.volume45pt_BR
dc.citation.spage1pt_BR
dc.citation.epage10pt_BR
dc.identifier.doihttps://doi.org/10.4025/actasciagron.v45i1.56160pt_BR
dc.identifier.issn1807-8621pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/76471-
dc.description.resumoThe selection of superior sweet potato genotypes using Bayesian inference is an important strategy for genetic improvement. Sweet potatoes are of social and economic importance, being the material for ethanol production. The estimation of variance components and genetic parameters using Bayesian inference is more accurate than that using the frequently used statistical methodologies. This is because the former allows for using a priori knowledge from previous research. Therefore, the present study estimated genetic parameters and selection gains, predicted genetic values, and selected sweet potato genotypes using a Bayesian approach with a priori information. Root shape, soil insect resistance, and root and shoot productivity of 24 sweet potato genotypes were measured. Heritability, genotypic variation coefficient, residual variation coefficient, relative variation index, and selection gains direct, indirect and simultaneous were estimated, and the data were analyzed using Bayesian inference. Data from 11 experiments were used to obtain a priori information. Bayesian inference was a useful tool for decision-making, and significant genetic gains could be achieved with the selection of the evaluated genotypes. Root shape, soil insect resistance, commercial root productivity, and total root productivity showed higher heritability values. Clones UFVJM06, UFVJM40, UFVJM54, UFVJM09, and CAMBRAIA can be used as parents in future breeding programs.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofActa Scientiarum-
dc.rightsAcesso Abertopt_BR
dc.subjectBatata-docept_BR
dc.subjectMelhoramento genéticopt_BR
dc.subjectTeoria bayesiana de decisão estatisticapt_BR
dc.subjectBiometriapt_BR
dc.subjectAgricultura -- Experimentaçãopt_BR
dc.subject.otherBatata-docept_BR
dc.subject.otherMelhoramento genéticopt_BR
dc.subject.otherTeoria bayesiana de decisão estatisticapt_BR
dc.subject.otherBiometriapt_BR
dc.subject.otherAgricultura -- Experimentaçãopt_BR
dc.titleEstimation of genetic parameters and selection gains for sweet potato using Bayesian inference with a priori informationpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttp://www.periodicos.uem.br/ojs/pt_BR
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