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TableĀ 2 Accuracy and bias of (G)EBV evaluated using pedigree, 80K, 650K and SEQ data using different prediction methods

From: Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants

Resource Method ADFI FAT ADG LMD
Accuracy Bias Accuracy Bias Accuracy Bias Accuracy Bias
Pedigree BLUP 0.28 0.83 0.49 0.91 0.28 0.53 0.42 1.17
80K GBLUP 0.38 0.96 0.66 0.98 0.17 0.31 0.29 0.63
BayesB 0.44 1.14 0.68 1.12 0.12 0.23 0.25 0.59
650K GBLUP 0.38 0.99 0.64 0.95 0.20 0.38 0.29 0.6
BayesB 0.45 1.17 0.68 1.17 0.09 0.15 0.26 0.59
SEQ GBLUP 0.37 0.95 0.59 0.96 0.12 0.28 0.32 0.69
BayesB 0.41 1.07 0.65 1.27 0.12 0.21 0.32 0.77
BayesRC 0.40 0.64 0.62 0.81 0.25 0.32 0.35 0.64
Average accuracy of using genomic data 0.40 0.97 0.65 1.02 0.15 0.30 0.30 0.71
  1. ADFI average daily feed intake, FAT ultrasound backfat depth, ADG average daily gain, LMD ultrasound loin muscle depth