Table 4.
Log-likelihood value (Log L), Akaike’s information criterion (AIC) and Bayesian information criterion (BIC), number of parameters (P), for different models in two-trait trait random regression analysis.
| Model 1 | Order of Fit 2 | Log L | AIC | BIC | p |
|---|---|---|---|---|---|
| MY-MF | 1 | −1,036,614.637 | 2,073,247.274 | 2,073,353.46 | 9 |
| MY-MF | 2 HOM | −923,334.831 | 1,846,715.662 | 1,846,987.03 | 23 |
| MY-MF | 2 HET | −907,256.912 | 1,814,589.824 | 1,815,038.17 | 38 |
| MY-MS | 1 | −909,037.893 | 1,818,093.786 | 1,818,199.972 | 9 |
| MY-MS | 2 HOM | −728,555.075 | 1,457,156.15 | 1,457,427.518 | 23 |
| MY-MS | 2 HET | −711,685.300 | 1,423,446.6 | 1,423,894.946 | 38 |
| MF-MS | 1 | −671,185.362 | 1,342,388.724 | 1,342,494.91 | 9 |
| MF-MS | 2 HOM | 337,838.394 | 675,630.788 | 675,359.422 | 23 |
| MF-MS | 2 HET | 348,202.475 | 696,328.95 | 695,880.604 | 38 |
1 MY—Milk yield (kg); MF—Milking frequency (no.); MS—Milking speed (kg/min); 2 HOM: homogeneous residual variance; HET: heterogeneous residual variance.