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Table 6 The accuracy and bias of multi-breeds prediction of GBLUP, BayesR(BR), emBayesR (EM), and HyB_BR (HB)

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
  Holstein and Jersey reference to predict Holstein validation
GBLUP +Polya 0.63 0.83 0.65 0.85 0.74 0.85 0.44 1.66
-Polyb 0.62 0.90 0.57 0.88 0.72 0.90 0.42 1.66
BR +Polya 0.68 0.84 0.68 0.88 0.81 0.90 0.44 1.53
-Polyb 0.67 0.91 0.67 1.03 0.79 0.98 0.42 1.53
EM +Polya 0.68 0.90 0.68 0.79 0.77 0.83 0.44 1.27
-Polyb 0.65 0.91 0.66 0.85 0.75 0.87 0.44 1.27
HB +Polya 0.68 0.82 0.67 0.88 0.81 0.94 0.44 1.33
-Polyb 0.67 0.89 0.67 0.95 0.80 1.08 0.44 1.33
  Holstein and Jersey reference to predict Jersey validation
GBLUP +Polya 0.64 0.78 0.68 0.85 0.66 0.73 0.24 1.12
-Polyb 0.64 0.90 0.69 1.02 0.64 0.80 0.24 1.12
BR +Polya 0.69 0.85 0.71 0.99 0.76 0.88 0.26 1.23
-Polyb 0.68 0.95 0.71 1.09 0.74 0.94 0.25 1.24
EM +Polya 0.66 0.84 0.69 0.71 0.75 0.76 0.23 1.13
-Polyb 0.63 0.86 0.68 0.73 0.70 0.82 0.23 1.13
HB +Polya 0.71 0.89 0.74 0.94 0.77 0.89 0.26 1.02
-Polyb 0.69 0.98 0.73 1.02 0.73 0.97 0.26 1.02
  1. ameans polygenic effects are included in the predictions; while bmeans the predictions do not include polygenic effects into the model