Table 6.
Correlations between GEBVs obtained with models 1 and 2 using a given SNP set and all available SNPs for marbling score
| No. of SNPs selected |
Model 1 with all 38,502 SNPs |
Model 1 with each SNP set |
Between binary and categorical | ||
|---|---|---|---|---|---|
| Binary * | Categorical * | Binary | Categorical | ||
| 100 |
0.46 |
0.47 |
0.96 |
0.96 |
0.87 |
| 200 |
0.52 |
0.53 |
0.95 |
0.95 |
0.84 |
| 500 |
0.72 |
0.74 |
0.97 |
0.97 |
0.89 |
| 1,000 |
0.83 |
0.84 |
0.96 |
0.97 |
0.88 |
| 2,000 |
0.90 |
0.92 |
0.96 |
0.97 |
0.88 |
| 4,000 |
- |
0.95 |
- |
0.97 |
- |
| 6,000 |
- |
0.96 |
- |
0.96 |
- |
| 8,000 |
- |
0.96 |
- |
0.96 |
- |
| 10,000 | - | 0.96 | - | 0.96 | - |
*Binary: treated as a binary trait; Categorical: treated as a categorical trait with 11 categories.