02131naa a2200277 a 450000100080000000500110000800800410001902400530006010000220011324501460013526000090028152012450029065000210153565000190155665000270157565000350160265000240163770000250166170000190168670000200170570000210172570000210174670000190176770000170178677300500180321391832022-01-19       2022    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1590/1678-992X-2021-00742DOI1 aMIRANDA, T. L. R.  aEvaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.h[electronic resource]  c2022  aThe 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.  aMolecular models  aPlant breeding  aPlant selection guides  aMelhoramento Genético Vegetal  aSeleção Genética1 aRESENDE, M. D. V. de1 aAZEVEDO, C. F.1 aNUNES, A. C. P.1 aTAKAHASHI, E. K.1 aSIMIQUELI, G. F.1 aSILVA, F. F. e1 aALVES, R. S.  tScientia Agricolagv. 79, n. 6, p. 1-7, 2022.