Table 3.
Regression coefficients (REG) and standard errors (SE) of de-regressed EBV on genomic prediction
|
Prediction method |
Fertility |
Protein yield |
Mastitis |
|||
|---|---|---|---|---|---|---|
| REG | SE | REG | SE | REG | SE | |
|
Individual marker prediction | ||||||
| GBLUP |
0.968 |
0.053 |
0.869 |
0.031 |
0.969 |
0.045 |
| BayesC π = 0.999 |
0.848 |
0.055 |
0.744 |
0.033 |
0.861 |
0.050 |
| BayesC π = 0.99 |
0.915 |
0.053 |
0.827 |
0.031 |
0.930 |
0.046 |
| BayesCπ |
0.956 |
0.053 |
0.869 |
0.031 |
0.966 |
0.044 |
| BayesBπ |
0.922 |
0.051 |
0.847 |
0.030 |
0.978 |
0.045 |
| BayesB π = 0.99 |
0.911 |
0.053 |
0.825 |
0.031 |
0.935 |
0.047 |
|
Haplotype prediction | ||||||
| GBLUP |
0.961 |
0.053 |
0.891 |
0.031 |
0.987 |
0.045 |
| BayesC π = 0.999 |
0.877 |
0.052 |
0.826 |
0.032 |
0.908 |
0.047 |
| BayesC π = 0.99 |
0.956 |
0.052 |
0.871 |
0.030 |
0.972 |
0.044 |
| BayesCπ |
0.956 |
0.053 |
0.884 |
0.030 |
0.980 |
0.045 |
| BayesBπ |
0.906 |
0.050 |
0.850 |
0.029 |
0.996 |
0.045 |
| BayesB π = 0.99 | 0.926 | 0.051 | 0.850 | 0.030 | 0.985 | 0.046 |