Table 2.
Accuracy of genomic predictions (ACC) and standard errors (SE) for three traits
|
Prediction method |
Fertility |
Protein yield |
Mastitis |
|||
|---|---|---|---|---|---|---|
| ACC | SE | ACC | SE | ACC | SE | |
|
Individual marker prediction | ||||||
| GBLUP |
0.599 |
0.013 |
0.646 |
0.016 |
0.622 |
0.013 |
| BayesC π = 0.999 |
0.521 |
0.024 |
0.558 |
0.023 |
0.526 |
0.023 |
| BayesC π = 0.99 |
0.574 |
0.023 |
0.625 |
0.022 |
0.595 |
0.022 |
| BayesCπ |
0.596 |
0.023 |
0.650 |
0.021 |
0.629 |
0.021 |
|
π |
0.91 |
|
0.91 |
|
0.90 |
|
| BayesBπ |
0.594 |
0.023 |
0.651 |
0.021 |
0.623 |
0.021 |
| BayesB π = 0.99 |
0.570 |
0.023 |
0.624 |
0.022 |
0.586 |
0.022 |
|
Haplotype prediction | ||||||
| GBLUP |
0.596 |
0.013 |
0.651 |
0.016 |
0.628 |
0.013 |
| BayesC π = 0.999 |
0.566 |
0.023 |
0.611 |
0.022 |
0.575 |
0.022 |
| BayesC π = 0.99 |
0.598 |
0.023 |
0.656 |
0.021 |
0.629 |
0.021 |
| BayesCπ |
0.596 |
0.023 |
0.658 |
0.021 |
0.629 |
0.021 |
|
π |
0.90 |
|
0.97 |
|
0.89 |
|
| BayesBπ |
0.593 |
0.023 |
0.657 |
0.021 |
0.633 |
0.021 |
| BayesB π = 0.99 | 0.595 | 0.023 | 0.651 | 0.021 | 0.624 | 0.021 |