Antero Heikkilä

Approximating prediction error variances and reliabilities in a multiple-trait genomic prediction model using Monte Carlo sampling

We evaluated four existing Monte Carlo-based methods for approximating prediction error variances and reliabilities in a multiple-trait genomic prediction model. All four methods yielded consistent approximations of the exact values. Genomic prediction models, such as genomic best linear unbiased prediction (GBLUP), us...