Skip to main content

Table 3 Genomic predictive accuracies obtained using FBM-BayesA, TBM-BayesA, FBM-BayesCÏ€, TBM-BayesCÏ€, 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-BayesCÏ€

TBM-BayesCÏ€

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
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us