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Table 5 Intercept (INT) and regression coefficient (REG) of DRP on genomic predictions using different methods

From: Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population

Trait GBLUPAG* Singleori Singleadj
INT REG INT REG INT REG
Milk 1.445 0.961 1.225 0.963 0.843 0.975
Fat 2.377 0.913 2.136 0.910 1.752 0.932
Protein 3.169 0.884 2.967 0.877 2.441 0.898
Growth −0.246 1.084 −0.133 1.093 −0.103 1.095
Fertility 1.586 1.034 1.633 1.023 1.917 1.044
Birth index 0.705 0.927 0.608 1.054 0.583 1.057
Calving index 0.819 1.061 0.439 1.009 0.520 1.019
Mastitis 0.281 0.947 0.206 0.954 0.246 0.958
Health 0.579 1.176 0.677 1.138 0.793 1.148
Body conf. 0.961 0.896 0.652 0.913 0.605 0.918
Feet & Leg 1.283 1.056 1.058 1.028 1.051 1.030
Udder conf. 2.701 0.926 2.144 0.934 2.114 0.935
Milkingspeed 1.572 0.887 1.371 0.858 1.355 0.861
Temperament 2.578 0.752 1.816 0.757 1.795 0.760
Longevity 2.164 0.940 1.531 0.963 1.384 0.969
Yield 3.273 0.887 3.079 0.878 2.524 0.902
Mean Dev.1 1.609 0.093 1.355 0.084 1.252 0.080
  1. Adjusted GBLUP with a polygenic effect with a weight of 0.2 (GBLUPAG*), original single-step blending (Singleori) and adjusted single-step blending (Singleadj) with weight a weight of 0.2; 1Mean of absolute deviation from 1 for regression coefficient and from 0 for intercept.