Table 5. Predictive abilities (PA) and prediction accuracies of different models using 423 genotyped samples. (numbers given in parentheses represent the parameter standard errors).
| Folding | aDBH-MGV | DBH-MBV | Vol-MGV | Vol-MBV | Vol-EBV | Ht-MGV | Ht-MBV | Ht-EBV | KPY-MGV | KPY-MBV | KPY-EBV |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CV – random | |||||||||||
| PA | 0.33(0.04) | 0.13(0.03) | 0.33(0.04) | 0.16(0.03) | 0.08(0.02) | 0.28(0.04) | 0.19(0.05) | 0.24(0.05) | 0.13(0.05) | 0.21(0.08) | 0.25(0.04) |
| Accuracy | 0.77(0.02) | 0.81(0.01) | 0.70(0.03) | 0.78(0.02) | 0.50(0.04) | 0.71(0.02) | 0.83(0.01) | 0.57(0.03) | 0.70(0.03) | 0.77(0.03) | 0.54(0.03) |
| CV – balanced family | |||||||||||
| PA | 0.28(0.03) | 0.11(0.07) | 0.29(0.04) | 0.14(0.07) | 0.08(0.04) | 0.27(0.04) | 0.20(0.05) | 0.25(0.03) | 0.14(0.02) | 0.14(0.02) | 0.24(0.01) |
| Accuracy | 0.73(0.03) | 0.77(0.02) | 0.68(0.03) | 0.81(0.02) | 0.56(0.02) | 0.67(0.03) | 0.77(0.01) | 0.52(0.03) | 0.68(0.02) | 0.70(0.02) | 0.53(0.02) |
| CV - family | |||||||||||
| PA | 0.34(0.04) | 0.07(0.06) | 0.31(0.03) | 0.01(0.06) | NA | 0.12(0.05) | 0(0.05) | NA | 0(0.05) | 0.03(0.06) | NA |
| Accuracy | 0.76(0.03) | 0.66(0.04) | 0.70(0.03) | 0.63(0.04) | NA | 0.56(0.04) | 0.49(0.06) | NA | 0.54(0.05) | 0.59(0.04) | NA |
a
DBH-EBV could not be tested due to low additive variance. MGV: Molecular genetic values, MBV: Molecular breeding values, EBV: estimated breeding values.