Sentence examples for breeding values were compared from inspiring English sources
Bayesian (via Gibbs sampling) and empirical BLUP (EBLUP) estimation of fixed effects and breeding values were compared by simulation.
In a stochastic simulation study of a dairy cattle population three multitrait models for estimation of genetic parameters and prediction of breeding values were compared.
Three methods for estimating breeding values were compared on each replicated dataset: PLSR, PCR and 'BayesB'.
In addition, (co variances of the estimated breeding values were compared to those of the simulated breeding values, to assess the ability of th models to capture the true genetic (co variances.
In order to investigate adaptation of hens, genetic parameters for laying traits were estimated in each environment and the ranking of sire breeding values was compared between environments.
Genetic parameters for laying traits were estimated in each environment and the ranking of sire breeding values was compared between environments.
To test the hypothesis that the additive genetic variance of each trait was significantly different from zero (Va >0), LRT was performed where the log-likelihood of a full model with random animal effect (i.e., its breeding value) was compared to that of a reduced model without the random animal effect as outlined above.
Deregressed estimated breeding values were available for 328 genotyped boars.
Genetic parameters of survival time were very similar for the two models but prediction of breeding values was improved by using RMM.t compared to STM.
Simulation shows that the resulting estimated breeding values are unbiased predictors of true breeding values.
