As these alleles are not explicitly modeled in quantitative genetics, deviations in gametic genetic values from parental genetic values as a result of the combined effects of recombination, segregation, and mutation are described by random deviates.
Each evaluation run included 73,000 90,000 bull records complete with their genetic values and evaluation information.
For all progeny of the founder animals, genetic values were simulated as the mean of the parental values plus a Mendelian sampling effect with variance of 0.5.
Genetic values of the flexibility of reproductive investment were computed as the difference between the genetic values of reproductive investment in each period.
Finally, rgĝ was calculated as the correlation between true and estimated additive genetic values.
Error effects were randomly sampled from a standard normal distribution and added to the genetic values to obtain phenotypes with h2 = 0.75 or 0.25.
Similar genome-wide methodology has been proposed in animal and plant breeding to estimate additive genetic values for quantitative traits [10], [11].
We show that the prediction equations are special cases of the more general problem of predicting the accuracy of estimates of genetic values of a continuous phenotype.
Throughout this article the accuracy of predicted genetic risk (rgĝ) is defined as the correlation between true and predicted genetic values.
r YD, g ^ = accuracy of predicted total genetic values (cross-validation correlation between YD and predicted total genetic values).
Eight replicates were performed and the estimated genetic values for each method were compared to the simulated true genetic values.
