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Table 7 The accuracy and bias of across-breeds prediction of BayesR, GBLUP, and HyB_BR

From: A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

  Milk yield Protein yield Fat% Fertility
Acc. Bias Acc. Bias Acc. Bias Acc. Bias
  Across breeds prediction on Australian red bulls
GBLUP 0.16 0.54 0.11 0.51 0.32 0.90 0.29 0.97
BayesR 0.22 0.60 0.12 0.49 0.45 0.92 0.27 1.03
EmBayesR 0.24 0.70 0.12 0.42 0.41 0.89 0.29 1.10
HyB_BR 0.23 0.74 0.17 0.49 0.50 0.90 0.30 0.98
  Across breeds prediction on Australian red cows
GBLUP 0.15 0.71 0.08 0.13 0.50 1.19 0.08 0.79
BayesR 0.26 0.80 0.17 0.51 0.54 0.94 0.08 0.68
EmBayesR 0.24 0.79 0.16 0.53 0.51 0.89 0.08 0.74
HyB_BR 0.26 0.81 0.16 0.57 0.55 0.91 0.08 0.70