Table 2 Animal-specific imputation accuracy (rcorrected) and the standard errors on GGA1 for different MAF classes in G0, G1 and G2 validation populations (48K to 60K scenario)
From: Accuracy of imputation using the most common sires as reference population in layer chickens
Validation population | ||
|---|---|---|
G01 | ||
MAF2 class | Ref22 | Ref62 |
0.008-0.1 | 0.68 (0.005)a | 0.80 (0.006) |
0.1-0.2 | 0.82 (0.004) | 0.89 (0.004) |
0.2-0.3 | 0.86 (0.003) | 0.91 (0.003) |
0.3-0.4 | 0.88 (0.003) | 0.93 (0.003) |
0.4-0.5 | 0.86 (0.003) | 0.91 (0.003) |
G13 | ||
MAFÂ class | Ref22 | Ref62 |
0.008-0.1 | 0.60 (0.005) | 0.73 (0.005) |
0.1-0.2 | 0.80 (0.004) | 0.86 (0.003) |
0.2-0.3 | 0.84 (0.002) | 0.89 (0.002) |
0.3-0.4 | 0.86 (0.002) | 0.91 (0.002) |
0.4-0.5 | 0.81 (0.003) | 0.87 (0.002) |
G24 | ||
MAFÂ class | Ref22 | Ref62 |
0.008-0.1 | 0.72 (0.007) | 0.78 (0.007) |
0.1-0.2 | 0.85 (0.005) | 0.88 (0.005) |
0.2-0.3 | 0.87 (0.005) | 0.87 (0.006) |
0.3-0.4 | 0.89 (0.004) | 0.92 (0.005) |
0.4-0.5 | 0.85 (0.005) | 0.90 (0.005) |