TABLE 3.

Regression coefficients^a of DRP on prediction.

Trait	PBLUP	GBLUP one-component					GBLUP two-component
		54K	54K + YSS	54K + DFS	54K + YSS + DFS	54K* + YSS + DFS + LET	54K + YSS	54K + DFS	54K + YSS + DFS	54K* + YSS + DFS + LET
YSS Index	0.976	1.027	1.026	1.027	1.026	1.022	1.003	1.005	1.000	0.998
BP1	0.976	0.892	0.893	0.891	0.891	0.888	0.891	0.866	0.865	0.863
BP2	1.046	0.953	0.954	0.954	0.955	0.952	0.955	0.954	0.954	0.952
HP1	0.968	0.886	0.887	0.885	0.885	0.883	0.884	0.864	0.863	0.862
HP2	1.045	0.968	0.969	0.967	0.967	0.964	0.965	0.963	0.963	0.960

^aStandard errors of regression coefficients across the scenarios = (0.059–0.092).

54K + YSS = Conventional 54K SNPs plus SNPs from GWAS on young stock survival (YSS_SNPs).

54K + DFS = Conventional 54K SNPs plus SNPs from GWAS on all traits in Nordic total merit index (DFS_SNPs).

54K + YSS + DFS = Conventional 54K SNPs plus YSS_SNPs and DFS_SNPs.

54K* + YSS + DFS + LET = Reduced 54K (minus SNPs in recessive lethal haplotypes), plus YSS_SNPs (YSS) and DFS_SNPs and the model considered random regression on genotype code of SNPs in recessive lethal haplotypes (LET_SNPs).

BP1, Bull period 1; BP2, Bull period 2; DRP, de-regressed proof; GBLUP, genomic best linear unbiased prediction; GWAS, genome-wide association study; HP1, Heifer period 1; HP2, Heifer period 2; PBLUP, pedigree-based best linear unbiased prediction; SNP, single-nucleotide polymorphism; YSS, young stock survival.