Table 3.
Proportion of genetic variance based on the additive genomic model (AM) and the additive and dominance genomic model (ADM) for each trait
| AM | ADM | ||||||
|---|---|---|---|---|---|---|---|
| Trait 1 | V A /V P | V P (2) | t He | V A /V P | V D /V P | V G /V P | V D /V G (%) |
| PW_hip | 0.57 (0.03) | 15.9 | 7.53*** | 0.57 (0.03) | 0.04 (0.02)* | 0.62 (0.03) | 7 |
| X_hip | 0.47 (0.06) | 22.0 | 2.77** | 0.47 (0.06) | 0 .00 (0.00) | 0.47 (0.06) | 0 |
| HUMP | 0.29 (0.08) | 584.3 | −4.15*** | 0.29 (0.08) | 0.00 (0.00) | 0.29 (0.08) | 0 |
| PW_lwt | 0.39 (0.02) | 547.1 | 7.19*** | 0.39 (0.02) | 0.11 (0.02)*** | 0.50 (0.03) | 23 |
| X_lwt | 0.46 (0.03) | 2056.0 | 7.46*** | 0.47 (0.03) | 0.07 (0.03)** | 0.54 (0.04) | 13 |
| RFI | 0.43 (0.04) | 0.9 | 0.11 | 0.43 (0.04) | 0.00 (0.00) | 0.43 (0.04) | 0 |
| PWIGF | 0.47 (0.10) | 6905.7 | 1.69 | 0.38 (0.12) | 0.42 (0.20)* | 0.79 (0.18) | 53 |
| CP8 | 0.43 (0.03) | 12.3 | 1.96* | 0.43 (0.03) | 0.00 (0.00) | 0.43 (0.03) | 0 |
| CRIB | 0.35 (0.03) | 8.2 | 1.18 | 0.35 (0.03) | 0.00 (0.00) | 0.35 (0.03) | 0 |
| CIMF | 0.35 (0.03) | 1.4 | −0.35 | 0.34 (0.03) | 0.10 (0.03)*** | 0.44 (0.04) | 23 |
| CRBY | 0.40 (0.05) | 4.2 | 0.02 | 0.40 (0.06) | 0.18 (0.06)*** | 0.58 (0.07) | 31 |
| LLPF | 0.29 (0.03) | 0.005 | 1.65 | 0.29 (0.03) | 0.01 (0.03) | 0.29 (0.04) | 2 |
| SC12 | 0.68 (0.07) | 5.1 | 2.98** | 0.62 (0.09) | 0.14 (0.14) | 0.76 (0.10) | 18 |
| PNS24 | 0.44 (0.08) | 502.3 | 0.91 | 0.39 (0.12) | 0.11 (0.19) | 0.50 (0.13) | 22 |
| AGECL | 0.50 (0.05) | 11683.4 | −2.76** | 0.47 (0.05) | 0.18 (0.08)*** | 0.65 (0.08) | 27 |
| PPAI | 0.39 (0.06) | 9.5 | −0.11 | 0.39 (0.06) | 0.00 (0.00) | 0.39 (0.06) | 0 |
ADM = estimates of total phenotype variance (VP), t-value of heterozygosity effect (tHe), proportion of additive genetic variance (VA), dominance variance (VD) and genetic variance (VG) to total phenotype variance (VP)1, and ratio of dominance variance to total genetic variance (%); 1trait abbreviations are shown in Table 1; 2VP is the sum of variance components including error variance in the model; *those that significantly differ from 0 at P < 0.05; **those that significantly differ from 0 at P < 0.01; and ***those that significantly differ from 0 at P < 0.001.