Table 6.

Accuracy of prediction of breeding value for carcass traits (SE) in consecutive iterations of wGBLUP with 50 k and a combination of 50 k and top-SNPs from GWAS (50 k_GWAS)

Model	Iteration	MS	EMA	CWT	BFT
50 k (GBLUP)	1	0.47 (0.02)	0.51 (0.02)	0.58 (0.03)	0.48 (0.02)
50 k (wGBLUP)	2	0.47 (0.02)	0.51 (0.02)	0.58 (0.03)	0.48 (0.02)
	3	0.47 (0.02)	0.50 (0.02)	0.59 (0.03)	0.49 (0.02)
	4	0.47 (0.02)	0.49 (0.02)	0.58 (0.03)	0.50 (0.02)
	5	0.46 (0.02)	0.48 (0.02)	0.58 (0.03)	0.49 (0.02)
50 k_GWAS (wGBLUP)	2	0.49 (0.02)	0.52 (0.02)	0.60 (0.03)	0.52 (0.02)
	3	0.49 (0.02)	0.51 (0.02)	0.60 (0.03)	0.53 (0.02)
	4	0.49 (0.02)	0.51 (0.02)	0.60 (0.03)	0.53 (0.02)
	5	0.48 (0.02)	0.50 (0.02)	0.59 (0.03)	0.52 (0.02)

BFT back fat thickness, EMA eye muscle area, CWT carcass weight, and MS marbling score