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Table 6 Coefficients of regression of simulated on estimated breeding values.

From: Accuracy of multi-trait genomic selection using different methods

     ST    MT  
Trait Scenario Model 0.25 0.54 0.75 0.25 0.54 0.75
11 1 A 1.02    0.96 0.96 0.96
  1 G 1.02    0.99 0.99 0.99
  1 BCπ0 1.00    1.00 1.00 1.00
  1 BSSVS 0.99    0.97 0.99 0.99
  2 A 1.01    0.94 0.94 0.92
  2 G 1.00    0.98 0.98 0.99
  2 BCπ0 1.00    0.93 1.01 0.99
  2 BSSVS 1.00    0.98 1.01 0.99
2 1 A 1.01 0.97 1.00 1.00 0.96 0.97
  1 G 1.00 0.98 1.01 1.00 0.98 1.00
  1 BCπ0 1.00 0.99 1.02 1.02 1.00 1.01
  1 BSSVS 1.01 1.00 1.03 1.01 0.97 0.97
  2 A 1.01 0.99 0.99 1.06 1.01 0.98
  2 G 1.04 1.02 1.02 1.03 1.02 1.02
  2 BCπ0 0.97 0.98 0.97 0.98 1.07 1.03
  2 BSSVS 0.97 0.99 0.99 1.07 1.08 1.07
  1. Regressions are performed for the ST or MT analyses, for animals without any phenotypes (generation 3), averaged across 25 replicates
  2. 1For trait 1 each ST model was only run once, because trait 1 was simulated independently of the genetic correlation