Título:	Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.
Autoria:	MIRANDA, T. L. R. RESENDE, M. D. V. de AZEVEDO, C. F. NUNES, A. C. P. TAKAHASHI, E. K. SIMIQUELI, G. F. SILVA, F. F. e ALVES, R. S.
Afiliação:	TAIANA LOPES RANGEL MIRANDA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; CAMILA FERREIRA AZEVEDO, UFV; ANDREI CAÍQUE PIRES NUNES, UNIVERSIDADE FEDERAL DO SUL DA BAHIA; ELIZABETE KEIKO TAKAHASHI, CELULOSE NIPO-BRASILEIRA S.A; GUILHERME FERREIRA SIMIQUELI, UFV; FABYANO FONSECA E SILVA, UFV; RODRIGO SILVA ALVES, UFLA.
Ano de publicação:	2022
Referência:	Scientia Agricola, v. 79, n. 6, p. 1-7, 2022.
Conteúdo:	The Fisher?s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximization model was proposed and it prioritizes the dominance variance based on alternative parameterizations. In this model, the additive effects at the locus level are introduced into the model after the dominance variance is maximized. In this study, the new parameterizations of additive and dominance effects on quantitative genetics and genomic selection were evaluated and compared with the parameterizations traditionally applied using the genomic best linear unbiased prediction method. As the parametric relative magnitude of the additive and dominance effects vary with allelic frequencies of populations, we considered different minor allele frequencies to compare the relative magnitudes. We also proposed and evaluated two indices that combine the additive and dominance variances estimated by both models. The dominance maximization model, along with the two indices, offers alternatives to improve the estimates of additive and dominance variances and their respective proportions and can be successfully used in genetic evaluation.
Thesagro:	Melhoramento Genético Vegetal Seleção Genética
NAL Thesaurus:	Molecular models Plant selection guides Plant breeding
Digital Object Identifier:	https://doi.org/10.1590/1678-992X-2021-0074
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (SAPC)