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Table 5 Number of selected SNPs, number of tagged QTL, percentage of genetic variance explained, and accuracies of genomic and phenotype prediction under different π values, sampling distribution for the QTL effects and density of the marker panel using BayesC method. Standard errors of accuracies are listed between parentheses

From: Correction to: High density marker panels, SNPs prioritizing and accuracy of genomic selection

  (1-π) =0.90 (1-π) =0.95 (1-π) =0.98 (1-π) =0.99
  Gamma Predefined Gamma Predefined Gamma Predefined Gamma Predefined
200 K marker density
# SNP 20 K 20 K 10 K 10 K 4 K 4 K 2 K 2 K
Tagged QTL3 76 97 61 96 53 94 46 91
% GV4 88.84 97.66 86.56 97.53 86.30 95.74 85.76 93.32
Acc_P5 0.453 0.451 0.467 0.459 0.484 0.477 0.496 0.493
  (0.019) (0.009) (0.019) (0.009) (0.018) (0.008) (0.018) (0.008)
Acc_G6 0.769 0.751 0.791 0.766 0.821 0.794 0.842 0.821
  (0.017) (0.009) (0.018) (0.008) (0.018) (0.009) (0.018) (0.006)
400 K marker density
# SNP 40K 40K 20 K 20 K 8 K 8 K 4 K 4 K
Tagged QTL 85 99 68 98 53 97 48 95
% GV 92.05 98.97 91.59 98.37 90.98 96.95 90.16 95.81
Acc_P 0.444 0.441 0.456 0.447 0.472 0.459 0.485 0.472
  (0.013) (0.017) (0.013) (0.017) (0.014) (0.017) (0.014) (0.018)
Acc_G 0.754 0.740 0.773 0.749 0.802 0.769 0.824 0.791
  (0.017) (0.011) (0.017) (0.011) (0.017) (0.012) (0.016) (0.012)
  1. 1QTL effects sampled from a Gamma distribution, 2 QTL effects pre-defined to explain at least 0.5% of genetic variance (GV), 3 QTL with r2 > 0.7 with at least one selected SNP, 4 GV = Genetic Variance, 5 accuracy of phenotype prediction, 6 accuracy of genomic prediction