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

Table 3 Intercept (INT) and regression coefficient (REG) of DRP on genomic predictions from different methods

Trait	GBLUP		GBLUP_AG		GBLUP_AG*
Trait	INT	REG	INT	REG	INT	REG
Milk	2.028	0.920	1.455	0.960	1.445	0.961
Fat	2.837	0.877	2.385	0.912	2.377	0.913
Protein	3.906	0.847	3.182	0.883	3.169	0.884
Growth	−0.240	1.045	−0.246	1.083	−0.246	1.084
Fertility	1.439	0.980	1.583	1.032	1.586	1.034
Birth index	0.846	0.865	0.707	0.926	0.705	0.927
Calving index	1.002	1.016	0.822	1.060	0.819	1.061
Mastitis	0.365	0.937	0.283	0.947	0.281	0.947
Health	0.585	1.156	0.579	1.175	0.579	1.176
Body conf.	1.172	0.864	0.965	0.895	0.961	0.896
Feet & Leg	1.389	1.009	1.284	1.055	1.283	1.056
Udder conf.	2.973	0.899	2.705	0.926	2.701	0.926
Milkingspeed	1.751	0.836	1.575	0.886	1.572	0.887
Temperament	2.665	0.727	2.579	0.751	2.578	0.752
Longevity	2.537	0.905	2.171	0.939	2.164	0.940
Yield	3.975	0.853	3.286	0.887	3.273	0.887
Mean Dev.¹	1.857	0.107	1.613	0.093	1.609	0.093

GBLUP without a polygenic effect (GBLUP), GBLUP with a polygenic effect with a weight of 0.2 (GBLUP_AG) and adjusted GBLUP with a polygenic effect with a weight of 0.2 (GBLUP_AG*); ¹Mean of absolute deviation from 1 for regression coefficient and from 0 for intercept.

ISSN: 1297-9686