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Table 6 Prediction accuracy and bias in the validation population for three traits based on BayesR

From: Genomic prediction based on selective linkage disequilibrium pruning of low-coverage whole-genome sequence variants in a pure Duroc population

 

CC 50k

CC 80k

GBS

LCS_LD1

Accuracy

Bias

Accuracy

Bias

Accuracy

Bias

Accuracy

Bias

AGE

0.280

0.847

0.283

0.893

0.269

0.861

0.293

0.882

BF

0.379

0.860

0.389

0.949

0.379

0.885

0.401

1.025

TTN

0.365

0.880

0.363

0.851

0.375

0.884

0.370

0.872

  1. Accuracy was defined as the Pearson correlation between the: GEBV) and phenotypes, while bias was defined as the regression coefficient of phenotypes on GEBV
  2. AGE age to 100 kg live weight, BF back fat thickness, TTN total teat number, CC 80k commercial chip 80k, CC 50k commercial chip 50k, GBS genotyping-by-sequencing, LCS_LD1 low-coverage sequencing set after removing SNPs in complete LD with other SNPs