Table 3.
Predictive abilities and accuracy estimates with genomic prediction model with and without adding an SNP with the largest effect size as a fixed effect (GBLUP and GBLUP-F) based on simulated data using a trait with a heritability of 0.25 and evaluated using tenfold cross-validations
| PVE (%) | Overall predictive ability |
Within-family predictive ability |
Overall accuracy | Within-family accuracy | ||||
|---|---|---|---|---|---|---|---|---|
| - QTN | + QTN | - QTN | + QTN | - QTN | + QTN | - QTN | + QTN | |
| 5 | 0.31 (0.06) | 0.35 (0.06) | 0.03 (0.07) | 0.17 (0.07) | 0.60 (0.05) | 0.71 (0.04) | 0.11 (0.08) | 0.42 (0.06) |
| 2.5 | 0.33 (0.07) | 0.34 (0.06) | 0.07 (0.08) | 0.11 (0.07) | 0.63 (0.06) | 0.66 (0.05) | 0.12 (0.09) | 0.29 (0.07) |
| 1.25 | 0.31 (0.06) | 0.31 (0.07) | 0.02 (0.06) | 0.07 (0.07) | 0.63 (0.05) | 0.64 (0.05) | 0.09 (0.07) | 0.20 (0.08) |
| 0.25 | 0.30 (0.07) | 0.30 (0.06) | 0.05 (0.06) | 0.06 (0.07) | 0.61 (0.05) | 0.60 (0.06) | 0.11 (0.07) | 0.13(0.08) |
| 0 | 0.32 (0.06) | 0.31 (0.07) | 0.05 (0.07) | 0.05 (0.07) | 0.62 (0.06) | 0.61 (0.07) | 0.11 (0.08) | 0.10 (0.08) |
PVE is the percentage of phenotypic variance explained by a large effect size SNP. QTN represents the quantitative trait nucleotide with a large effect size where-and + signifies the absence (GBLUP) and presence (GBLUP-F) respectively, of this QTN in the genomic prediction model as a fixed effect. The presumed major-effect locus/QTN is fixed for each training population. The value in parenthesis indicates the standard deviation across replicate simulations