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Table 2 Genomic predictive accuracies obtained using FBM-BayesA, TBM-BayesA, FBM-BayesCπ, TBM-BayesCπ, and GBLUP in Scenario 2

From: Fast genomic prediction of breeding values using parallel Markov chain Monte Carlo with convergence diagnosis

Chains FBM-BayesA TBM-BayesA FBM-BayesCπ TBM-BayesCπ GBLUP
1 0.846777 0.846761 0.937837 0.937312 0.833173
2 0.846731 0.846709 0.937741 0.937161
4 0.846797 0.846855 0.937449 0.937160
6 0.846904 0.846855 0.938563 0.938017
8 0.846559 0.846884 0.938305 0.938319
10 0.846770 0.846812 0.938232 0.938763
12 0.846862 0.846824 0.938997 0.938347
14 0.846814 0.846832 0.938535 0.938426
16 0.846844 0.846657 0.938852 0.938385
18 0.846820 0.846854 0.938823 0.938210
  1. Simulation parameters are as follows: population size = 1000; number of QTL = 200; heritability = 0.5; number of chromosomes = 10; and number of markers per chromosome = 5000
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