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Table 3 Genomic predictive accuracies obtained using FBM-BayesA, TBM-BayesA, FBM-BayesCπ, TBM-BayesCπ, and GBLUP in Scenario 3

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 0.7717 0.7717 0.8415 0.8415 0.7632
2 0.7716 0.7717 0.8421 0.8416
4 0.7716 0.7717 0.8417 0.8418
6 0.7715 0.7717 0.8413 0.8418
8 0.7718 0.7719 0.8415 0.8514
10 0.7720 0.7720 0.8411 0.8419
12 0.7720 0.7720 0.8418 0.8415
14 0.7720 0.7716 0.8413 0.8418
16 0.7718 0.7720 0.8415 0.8417
18 0.7718 0.7718 0.8411 0.8416
  1. Simulation parameters are as follows: population size = 2000; number of QTL = 200; heritability = 0.3; number of chromosomes = 5; and number of markers per chromosome = 40,000