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Table 3 Accuracy and bias of predicted GBVs in Data III

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 0.766 ± 0.058 0.500 ± 0.127 0.322 ± 0.082
   b TBV,pGBV 0.977 ± 0.048 0.998 ± 0.356 0.967 ± 0.773
  0 < π <1 r TBV,pGBV 0.723 ± 0.069 0.503 ± 0.141 0.202 ± 0.119
   b TBV,pGBV 1.065 ± 0.076 1.195 ± 0.530 0.799 ± 0.523
varBayes π = 0 r TBV,pGBV 0.726 ± 0.072 0.447 ± 0.131 0.261 ± 0.134
   b TBV,pGBV 0.984 ± 0.052 0.582 ± 0.241 0.383 ± 0.181
  0 < π <1 r TBV,pGBV 0.679 ± 0.081 0.387 ± 0.115 0.228 ± 0.112
   b TBV,pGBV 0.840 ± 0.068 0.389 ± 0.132 0.240 ± 0.110
single-trait π =0 r TBV,pGBV 0.760 ± 0.058 0.345 ± 0.070 0.336 ± 0.068
(MCBayes)   b TBV,pGBV 0.965 ± 0.047 0.931 ± 0.368 0.969 ± 0.510
  0 < π <1 r TBV,pGBV 0.758 ± 0.057 0.362 ± 0.105 0.354 ± 0.101
   b TBV,pGBV 1.086 ± 0.068 1.455 ± 1.401 1.251 ± 1.310
  1. Averages and standard errors based on 100 replicates of simulated data are listed for prediction accuracy, rpGBV,TBV, and bias, bpGBV,TBV, of each trait. For the settings of prior probability that a SNP has zero effect, π, see Table1.