Exact(8)
In all cross-validation approaches, data sets were divided into an estimation set (ES) that was used to estimate marker effects, and a test set (TS), in which the predictive ability (Pearson correlation rMP) between observed BLUEs and the genotypic values predicted based on the determined marker effects was calculated to provide a measure of the accuracy of prediction [ 11].
As done in this study, the daughter records can then be used for the estimation of sire effects for ES, which in turn, can be used to estimate marker effects.
Any method that has been proposed in the framework of genomic selection can be used to estimate marker effects in the training population.
We used three methods to estimate marker effects in the training population.
Method "BayesC" [ 8] was used to estimate marker effects for genomic prediction.
This shows the importance of having large numbers of phenotypic records to accurately estimate marker effects.
A training population is used to estimate marker effects from animals with both genotypes and phenotypes.
In this study, we used DEBV to estimate marker effects and DGV.
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