Table 2.
Trait | Method | σ a ± SE1 | σ e ± SE | h2 ± SE | −2LogL2 |
---|---|---|---|---|---|
TF, min/d | BLUP | 21.5 ± 8.89 | 17.1 ± 7.39 | 0.61 ± 0.08 | 95,689 |
ssGBLUP | 19.2 ± 7.64 | 18.9 ± 6.35 | 0.51 ± 0.06 | 95,596 | |
FD, min/visit | BLUP | 1.45 ± 1.85 | 1.77 ± 0.641 | 0.40 ± 0.08 | 91,547 |
ssGBLUP | 1.35 ± 0.624 | 1.83 ± 0.557 | 0.35 ± 0.06 | 91,464 | |
FF, number/d | BLUP | 4.46 ± 2.60 | 7.37 ± 2.42 | 0.27 ± 0.09 | 93,822 |
ssGBLUP | 4.45 ± 2.38 | 7.37 ± 2.22 | 0.27 ± 0.07 | 93,743 | |
FR, kg/h | BLUP | 0.359 ± 0.173 | 0.423 ± 0.141 | 0.42 ± 0.09 | 89,146 |
ssGBLUP | 0.320 ± 0.141 | 0.448 ± 0.141 | 0.34 ± 0.06 | 89,068 | |
DMIv, kg/visit | BLUP | 0.0657 ± 0.0344 | 0.0922 ± 0.0313 | 0.34 ± 0.08 | 86,447 |
ssGBLUP | 0.0657 ± 0.0312 | 0.0923 ± 0.0282 | 0.33 ± 0.07 | 86,367 | |
RFI, kg/d | BLUP | 0.281 ± 0.141 | 0.552 ± 0.141 | 0.20 ± 0.05 | 23,797 |
ssGBLUP | 0.256 ± 0.123 | 0.559 ± 0.141 | 0.17 ± 0.03 | 23,769 | |
RWG, kg/d | BLUP | 0.045 ± 0.0264 | 0.113 ± 0.0264 | 0.14 ± 0.04 | 19,183 |
ssGBLUP | 0.042 ± 0.0223 | 0.113 ± 0.0225 | 0.13 ± 0.04 | 19,153 | |
FC, kg DM/kg gain | BLUP | 0.407 ± 0.245 | 1.04 ± 0.245 | 0.13 ± 0.05 | 25,822 |
ssGBLUP | 0.373 ± 0.224 | 1.05 ± 0.224 | 0.11 ± 0.04 | 25,797 | |
ADG, kg/d | BLUP | 0.100 ± 0.0447 | 0.12 ± 0.0316 | 0.40 ± 0.05 | 19,816 |
ssGBLUP | 0.087 ± 0.0316 | 0.130 ± 0.0316 | 0.31 ± 0.04 | 19,792 | |
DMI, kg/d | BLUP | 0.589 ± 0.224 | 0.67 ± 0.198 | 0.43 ± 0.05 | 24,791 |
ssGBLUP | 0.535 ± 0.198 | 0.705 ± 0.173 | 0.36 ± 0.04 | 24,759 | |
WSel3, kg | BLUP | 20.9 ± 5.35 | 22.2 ± 4.17 | 0.47 ± 0.02 | 95,689 |
ssGBLUP | 19.9 ± 5.13 | 22.7 ± 4.037 | 0.43 ± 0.02 | 95,596 |
1SE is estimated according to Houle and Meyer (2015).
2−2LogL of the maximum likelihood function.
3W378 and W550.