Table 7.

Estimates of number and proportion of exon region SNPs contributed in each mixture component by BayesR for carcass and meat quality traits in Korean Hanwoo cattle.

Trait	Nsnp	${\mathrm{\sigma }}_{\mathrm{G}}^{\mathrm{2}}$	Number of SNPs in mixture component
			0 × ${\mathrm{\sigma }}_{\mathrm{A}}^{\mathrm{2}}$	10-4 × ${\mathrm{\sigma }}_{\mathrm{A}}^{\mathrm{2}}$	10-3 × ${\mathrm{\sigma }}_{\mathrm{A}}^{\mathrm{2}}$	10-2 × ${\mathrm{\sigma }}_{\mathrm{A}}^{\mathrm{2}}$
CWT	3979	580.93	95225	3652 (3.68)	292 (0.30)	35 (0.04)
			(95.99)	[215.72]	[169.74]	[194.65]
EMA	5001	21.97	94198	4638 (4.68)	346 (0.35)	22 (0.02)
			(94.95)	[10.45]	[7.57]	[3.92]
BFT	5305	4.17	93899	4899 (4.94)	390 (0.39)	16 (0.02)
			(94.65)	[2.07]	[1.64]	[0.46]
MS	6859	0.845	92345	6600 (6.66)	246 (0.25)	13 (0.01)
			(93.08)	[0.56]	[0.21]	[0.08]

Nsnp, number of SNPs in model; ${\mathrm{\sigma }}_{\mathrm{G}}^{\mathrm{2}}$, total genetic variance explained by the SNPs; values in parentheses are proportion of SNPs in each mixture component; ${\mathrm{\sigma }}_{\mathrm{A}}^{\mathrm{2}}$, genetic variance explained by the respective mixture component and values are presented in the square brackets. CWT, carcass weight; EMA, eye muscle area; BFT, backfat thickness; MS, marbling score.