| Fat Yield | Milk Yield | Protein Yield |
---|
Analytical Modelb
| Red Hol | Aust Red | Red Hol | Aust Red | Red Hol | Aust Red |
---|
BayesR 800 K | 0.527 (0.002) | 0.265 (0.001) | 0.580 (0.001) | 0.235 (0.005) | 0.530 (0.002) | 0.155 (0.004) |
BayesR SEQ |
0.543 (0.001) | 0.275 (0.002) | 0.601 (0.004) | 0.258 (0.008) | 0.548 (0.002) | 0.174 (0.005) |
BayesRC Lact | 0.540 (0.003) |
0.281 (0.004) |
0.604 (0.002) |
0.278 (0.012) |
0.554 (0.002) | 0.154 (0.015) |
BayesRC RLact | 0.541 (0.002) | 0.272 (0.004) | 0.602 (0.004) | 0.253 (0.012) | 0.551 (0.002) |
0.180 (0.006) |
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aEstimated as the correlation between the predicted genomic values and corrected phenotypes. The highest accuracy is in bold font in each column. Numbers in in brackets indicate relative convergence of 5 independent Bayesian MCMC chains (estimated from [SD of the mean accuracy]/√5). Note: the numbers in brackets should not be interpreted as a “standard error” because they are estimated from 5 Bayesian MCMC chains run on the same data set
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bBayesR models used either 800 K SNP array (600,640 genotypes) or 994,019 sequence variants (SEQ). The BayesRC model definitions are given in Table 2