Table 1.
Regression coefficient of adjusted phenotype on estimated breeding values for backfat (BFT), carcass weight (CWT), eye-muscle area (EMA) and marbling (MAR) traits
| Prediction methods | Trait | |||
|---|---|---|---|---|
| BFT | CWT | EMA | MAR | |
| SSBR-C (π estimation) | 0.85 | 0.97 | 0.99 | 0.88 |
| SSBR-B (π = chosen)a | 0.88 | 1.08 | 1.07 | 0.74 |
| SSBR-C (π = chosen)b | 0.88 | 1.02 | 1.04 | 0.89 |
| SSBR-C (π = 0) | 0.86 | 1.21 | 1.00 | 0.87 |
| BayesC (π estimation) | 0.82 | 1.05 | 1.05 | 0.86 |
| BayesB (π = chosen)a | 0.82 | 1.03 | 1.26 | 0.70 |
| BayesC (π = chosen)b | 0.88 | 1.06 | 1.12 | 0.87 |
| BayesC (π = 0) | 0.86 | 1.20 | 1.09 | 0.88 |
| SSGBLUP-I | 0.73 | 1.15 | 0.97 | 0.79 |
| SSGBLUP-II | 0.54 | 0.84 | 0.75 | 0.64 |
| SSGBLUP-III | 0.52 | 0.90 | 0.79 | 0.61 |
| PBLUP | 0.76 | 1.12 | 1.02 | 0.93 |
| PBLUP-G | 0.61 | 1.33 | 1.30 | 0.92 |
aChosen π of BayesB and SSBR-B for BFT, CWT, EMA and MAR were 0.95, 0.98, 0.95 and 0.6, respectively
bChosen π of BayesC and SSBR-C for BFT, CWT, EMA and MAR were 0.98, 0.9999, 0.98 and 0.6, respectively