Table 4.
Accuracyb | ||
---|---|---|
P1 (LD = 0.3) | P2 (LD = 0.7) | |
FST based | ||
2.5 K | 0.724 (0.021) | 0.805 (0.014) |
5 K | 0.736 (0.022) | 0.823 (0.012) |
10 K | 0.740 (0.023) | 0.828 (0.013) |
20 K | 0.741 (0.027) | 0.824 (0.013) |
40 K | 0.735 (0.027) | 0.815 (0.014) |
80 K | 0.728 (0.028) | 0.802 (0.012) |
160 K | 0.723 (0.031) | 0.784 (0.013) |
Random | ||
2.5 K | 0.600 (0.054) | 0.669 (0.019) |
5 K | 0.640 (0.047) | 0.709 (0.015) |
10 K | 0.676 (0.036) | 0.736 (0.019) |
20 K | 0.695 (0.037) | 0.746 (0.014) |
40 K | 0.707 (0.034) | 0.754 (0.010) |
80 K | 0.712 (0.033) | 0.757 (0.013) |
160 K | 0.715 (0.031) | 0.759 (0.011) |
Full panel | ||
400 K | 0.716 (0.032) | 0.760 (0.011) |
aP1: 200 QTLs and linkage disequilibrium (LD) between adjacent markers equal to 0.3 and P2: 200 QTLs and LD between adjacent markers equal to 0.7;b correlation between true and predicted breeding values