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Table 6 Parameters obtained for the Walloon example for 1212 internally used sires

From: Unified method to integrate and blend several, potentially related, sources of information for genetic evaluation

Genetic evaluations Milk yield
r1 MSE2 a3 R2 3 REtot4 REL5
EVALW 0.886 100.00 0.87 (0.013) 0.78 21 934.6 0.74 (0.22)
EVALBLNN 0.987 11.68 0.993 (0.005) 0.97 55 038.2 0.92 (0.05)
EVALBLRE 0.989 10.01 0.984 (0.004) 0.98 37 487.1 0.91 (0.05)
EVALBLR 0.988 10.57 1.004 (0.004) 0.98 52 313.0 0.91 (0.06)
EVALBL 0.990 8.87 0.995 (0.004) 0.98 34 141.2 0.90 (0.06)
  Fat yield
  r 1 MSE 2 a 3 R 2 3 RE tot 4 REL 5
EVALW 0.862 100.00 0.815 (0.014) 0.74 20 016.8 0.76 (0.22)
EVALBLNN 0.983 12.22 0.989 (0.005) 0.97 46 144.6 0.92 (0.05)
EVALBLRE 0.985 10.69 0.977 (0.005) 0.97 32 320.9 0.92 (0.05)
EVALBLR 0.985 11.12 1.004 (0.005) 0.97 43 943.6 0.91 (0.06)
EVALBL 0.987 9.54 0.991 (0.005) 0.97 29 631.1 0.90 (0.06)
  Protein yield
  r 1 MSE 2 a 3 R 2 3 RE tot 4 REL 5
EVALW 0.882 100.00 0.851 (0.013) 0.79 20 851.6 0.75 (0.22)
EVALBLNN 0.985 12.38 0.985 (0.005) 0.97 49 589.7 0.92 (0.05)
EVALBLRE 0.987 10.79 0.975 (0.004) 0.98 34 372.9 0.91 (0.05)
EVALBLR 0.986 11.26 0.996 (0.005) 0.98 47 189.5 0.91 (0.06)
EVALBL 0.988 9.56 0.986 (0.004) 0.98 31 434.7 0.90 (0.06)
  1. 1r = rank correlation between EVALMACE and EVALW, EVALBLNN, EVALBLRE, EVALBLR or EVALBL; 2MSE = mean squared error expressed as a percentage of the average internal mean squared error; 3a = regression coefficient (SE in parentheses) and R2 = coefficient of determination of the regression of MACE EBV on EBV estimated by EVALW, EVALBLNN, EVALBLRE, EVALBLR or EVALBL; 4REtot = total amount of record equivalents; 5REL = average reliability (SD in parentheses).