From: Multi-population genomic prediction using a multi-task Bayesian learning model
Ayrshire | Holstein | ||||||
---|---|---|---|---|---|---|---|
No. of QTL | ρ | Single-task | Pooling | Multi-task | Single-task | Pooling | Multi-task |
r(TBV, GEBV) | |||||||
20 | 0.2 | 0.76 ± 0.04 | 0.64 ± 0.04 | 0.92 ± 0.01 | 0.96 ± 0.01 | 0.93 ± 0.01 | 0.97 ± 0.01 |
20 | 0.8 | 0.71 ± 0.05 | 0.88 ± 0.02 | 0.93 ± 0.01 | 0.97 ± 0.01 | 0.97 ± 0.01 | 0.97 ± 0.01 |
200 | 0.2 | 0.57 ± 0.03 | 0.53 ± 0.03 | 0.60 ± 0.04 | 0.77 ± 0.01 | 0.76 ± 0.01 | 0.78 ± 0.01 |
200 | 0.8 | 0.54 ± 0.04 | 0.65 ± 0.02 | 0.61 ± 0.04 | 0.76 ± 0.02 | 0.78 ± 0.02 | 0.77 ± 0.01 |
b(TBV, GEBV) | |||||||
20 | 0.2 | 1.01 ± 0.06 | 0.83 ± 0.08 | 0.99 ± 0.03 | 1.00 ± 0.01 | 1.00 ± 0.02 | 1.00 ± 0.01 |
20 | 0.8 | 1.04 ± 0.08 | 0.89 ± 0.06 | 0.97 ± 0.03 | 0.98 ± 0.01 | 1.01 ± 0.02 | 0.99 ± 0.01 |
200 | 0.2 | 1.23 ± 0.10 | 0.89 ± 0.06 | 1.16 ± 0.08 | 1.00 ± 0.03 | 1.03 ± 0.03 | 1.01 ± 0.03 |
200 | 0.8 | 1.10 ± 0.09 | 1.06 ± 0.06 | 1.12 ± 0.09 | 0.98 ± 0.03 | 0.97 ± 0.03 | 0.98 ± 0.02 |