Four different mixed models were used to estimate additive and dominance genetic values of animals from simulated data. Five generations were produced allowing inbreeding using a genetic model with a large number of loci (64) and two different gene frequencies (0.5 and 0.8). There was complete dominance at all loci. Population size at each generation was 40 and 5 males were either randomly selected or selected on phenotype and mated to 20 females. In generation 5, average inbreeding was 0.08. A model with an additive relationship matrix (A), dominance relationship matrix (D) and inbreeding coefficient (F) as a covariate gave unbiased prediction of additive and dominance values and unbiased estimation of inbreeding depression under random as well as phenotypic selection. A model which included A but ignored D and F underestimated predictors of additive genetic values under both random and phenotypic selection and a model that included A and F but ignored D overestimated additive genetic values with phenotypic selection. A model which ignored A and D and included only F seriously underestimated inbreeding depression when phenotypic selection was practised.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume XIII. Plenary lectures, molecular genetics and mapping, selection, prediction and estimation., , 297–300, 1990
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