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Table 3 Posterior mean of (1-π) multiplied by K = 2,000 SNPs used in the analyses (se) obtained by BayesDπ according to the number of QTL, distribution of QTL effects and training data size.

From: Extension of the bayesian alphabet for genomic selection

  QTL effect distribution and training data size
  Gamma Normal
No. of QTL 1,000 4,000 1,000 4,000
10 243 (14) 253 (14) 375 (23) 395 (21)
20 278 (24) 293 (25) 546 (31) 538 (29)
40 461 (30) 465 (26) 779 (31) 771 (19)
  1. Results are based on 24 replicates of the realistic simulation in which heritability was 0.9, loci were in linkage disequilibrium, and only SNPs were modeled