Estimation of genetic parameters and selection gains for sweet potato using Bayesian inference with a priori information

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorValadares, Nermy Ribeiro-
Autor(es): dc.creatorFernandes, Ana Clara Gonçalves-
Autor(es): dc.creatorRodrigues, Clóvis Henrique Oliveira-
Autor(es): dc.creatorGuedes, Lis Lorena Melúcio-
Autor(es): dc.creatorMagalhães, Jailson Ramos-
Autor(es): dc.creatorAlves, Rayane Aguiar-
Autor(es): dc.creatorAndrade Júnior, Valter Carvalho de-
Autor(es): dc.creatorAzevedo, Alcinei Mistico-
Data de aceite: dc.date.accessioned2026-02-09T11:29:38Z-
Data de disponibilização: dc.date.available2026-02-09T11:29:38Z-
Data de envio: dc.date.issued2024-01-22-
Data de envio: dc.date.issued2024-01-22-
Data de envio: dc.date.issued2022-09-16-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/58809-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1141861-
Descrição: dc.descriptionThe 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 prioriknowledge 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 prioriinformation. 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 obtainapriori 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.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherEditora da Universidade Estadual de Maringá (EDUEM)-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsacesso aberto-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
???dc.source???: dc.sourceActa Scientiarum. Agronomy-
Palavras-chave: dc.subjectIpomoea batatas (L.) Lam-
Palavras-chave: dc.subjectGenetical enhancement-
Palavras-chave: dc.subjectBayes' theorem-
Palavras-chave: dc.subjectBiometry-
Palavras-chave: dc.subjectExperimental statistics-
Palavras-chave: dc.subjectSweet potato - Genetic improvement-
Título: dc.titleEstimation of genetic parameters and selection gains for sweet potato using Bayesian inference with a priori information-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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