Table 4.
Breed | Trait | 50 Ka | Best scenario | nb | r2 | ∆c |
---|---|---|---|---|---|---|
HOLDK | Milk yield | 0.44 | MB-50 K + MBQTL10-25/1 | 3130 | 0.53 | 0.09 |
Fat yield | 0.48 | MB-50 K + MBQTL20-25/1 | 424 | 0.58 | 0.10 | |
Protein yield | 0.39 | MB-50 K + MBQTL10-1/1 | 522 | 0.44 | 0.06 | |
HOLFR | Milk yield | 0.33 | MB-50 K + MBQTL14-25/1 | 1046 | 0.41 | 0.08 |
Fat yield | 0.37 | MB-50 K + MBQTL20-25/1 | 424 | 0.46 | 0.10 | |
Protein yield | 0.37 | MB-50 K + MBQTL14-25/10 | 517 | 0.44 | 0.06 | |
JER | Milk yield | 0.30 | WB-50 K + MBQTL20-1/10 | 7 | 0.40 | 0.10 |
Fat yield | 0.16 | MB-50 K + MBQTL10-10/10 | 775 | 0.20 | 0.04 | |
Protein yield | 0.22 | WB-50 K + MBQTL20-1/10 | 12 | 0.27 | 0.05 | |
RDC | Milk yield | 0.14 | WB-50 K + MBQTL20-10/2 | 138 | 0.20 | 0.06 |
Fat yield | 0.11 | WB-50 K + MBQTL14-10/2 | 635 | 0.19 | 0.07 | |
Protein yield | 0.09 | WB-50 K + MBQTL10-10/10 | 911 | 0.14 | 0.05 |
HOLDK Danish Holstein, HOLFR French Holstein, JER Jersey, RDC Danish Red
aReliabilities when using 50 K SNPs
bNumber of QTL variants included in the scenario
cDifference in reliability between the best scenario and that obtained with 50 K SNPs