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Table 2 Accuracy and bias of predicted GBVs in Data II

From: A Bayesian method and its variational approximation for prediction of genomic breeding values in multiple traits

Method    Trait A Trait B Trait C
MCBayes π = 0 r TBV,pGBV 0.902 ± 0.032 0.706 ± 0.103 0.519 ± 0.097
   b TBV,pGBV 0.998 ± 0.034 0.902 ± 0.111 0.796 ± 0.179
  0 < π <1 r TBV,pGBV 0.868 ± 0.047 0.731 ± 0.120 0.401 ± 0.182
   b TBV,pGBV 1.092 ± 0.093 1.189 ± 0.199 1.198 ± 0.553
varBayes π = 0 r TBV,pGBV 0.859 ± 0.049 0.656 ± 0.110 0.438 ± 0.074
   b TBV,pGBV 1.059 ± 0.065 0.799 ± 0.105 0.724 ± 0.111
  0 < π <1 r TBV,pGBV 0.838 ± 0.061 0.678 ± 0.140 0.330 ± 0.157
   b TBV,pGBV 0.983 ± 0.034 0.851 ± 0.138 0.562 ± 0.155
single-trait π =0 r TBV,pGBV 0.884 ± 0.039 0.485 ± 0.086 0.493 ± 0.089
(MCBayes)   b TBV,pGBV 0.974 ± 0.035 0.766 ± 0.113 0.766 ± 0.113
  0 < π <1 r TBV,pGBV 0.843 ± 0.044 0.597 ± 0.120 0.601 ± 0.109
   b TBV,pGBV 1.562 ± 0.261 1.787 ± 0.431 1.832 ± 0.565
  1. Averages and standard errors based on 20 replicates of simulated data are listed for prediction accuracy, rpGBV,TBV, and bias, bpGBV,TBV, of each trait. For the settings of the prior probability that a SNP has zero effect, π, see Table1.