From: The effect of using genealogy-based haplotypes for genomic prediction
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 |