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Table 2 Genomic predictive accuracies obtained using FBM-BayesA, TBM-BayesA, FBM-BayesCÏ€, TBM-BayesCÏ€, 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-BayesCÏ€

TBM-BayesCÏ€

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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BMC Bioinformatics

ISSN: 1471-2105

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