Fig. 6
Heat map of genomic prediction accuracy for simulated traits using SNPs after SLDP. Heat map of genomic prediction accuracy for simulated traits using SNPs after SLDP according to the r2 (from 1 to 0.05) and P-value (from 0.0001 to 0.01) gradient in the training population. The results of the GBLUP model are shown; each square represents a parameter combination and the accuracies are indicated with deeper colors corresponding to high (red) or low (blue) accuracy. Black dots mark the optimal combination of parameters for accuracy. The accuracy was obtained by five-fold cross-validation in the training population and defined as the Pearson correlation between GEBV and TBV. a QTN_100_h2_0.15 simulated traits with 100 QTN and a heritability of 0.15, b QTN_10000_h2_0.15 simulated traits with 10,000 QTN and a heritability of 0.15, c QTN_100_h2_0.30 simulated traits with 100 QTN and a heritability of .030, d QTN_10000_h2_0.30 simulated traits with 10,000 QTN and a heritability of 0.30, e QTN_100_h2_0.60 simulated traits with 100 QTN and a heritability of 0.60, f QTN_10000_h2_0.60 simulated traits with 10,000 QTN and a heritability of 0.60