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Table 6 Average number of variant effects per non-zero distribution (variances 0.0001\( \sigma \) 2 g, 0.001\( \sigma \) 2 g, and 0.01\( \sigma \) 2 g) of BayesR SEQ and BayesRC Lact modelsa

From: Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

Trait Model Number of Variant Effects per Distribution
N(0,0.0001\( \sigma \) 2 g) N(0,0.001\( \sigma \) 2 g) N(0,0.01\( \sigma \) 2 g)
AUS DANZ AUS DANZ AUS DANZ
Milk Yield BayesR SEQ 4263 5239 60 91 7 9
BayesRC Lact 4276 5294 56 89 9 11
Fat Yield BayesR SEQ 4769 5969 14 28 5 8
BayesRC Lact 4774 5841 24 43 7 10
Protein Yield BayesR SEQ 4604 6292 40 38 5 6
BayesRC Lact 4641 6292 39 41 7 8
  1. a Results are for Milk, Fat and Protein Yield in both the DANZ and AUS training sets