Genomic prediction based on selective linkage disequilibrium pruning of low-coverage whole-genome sequence variants in a pure Duroc population

Table 4 Proportion of the number of SNPs and genetic variance explained in the four normal distributions modeled in BayesR

Trait	0 * \({{\varvec{\upsigma}}}_{\mathbf{g}}^{2}\)		0.0001 * \({{\varvec{\upsigma}}}_{\mathbf{g}}^{2}\)		0.001 * \({{\varvec{\upsigma}}}_{\mathbf{g}}^{2}\)		0.01 * \({{\varvec{\upsigma}}}_{\mathbf{g}}^{2}\)
Trait	P_num (%)	P_var (%)	P_num (%)	P_var (%)	P_num (%)	P_var (%)	P_num (%)	P_var (%)
AGE	97.42	0	2.30	29.17	0.24	30.34	0.032	40.20
BF	97.29	0	2.37	29.85	0.32	39.03	0.028	30.89
TTN	98.17	0	1.52	19.21	0.26	32.86	0.040	47.64

Results were obtained using the LCS_LD0.90 marker set
σ²_g genetic variance explained by the LCS_LD0.90 marker set, P_num proportion of the number of SNPs in a distribution to the total SNP set (LCS_LD0.90), P_var proportion of genetic variance explaining \({\upsigma }_{\mathrm{g}}^{2}\), AGE age to 100 kg live weight, BF back fat thickness, TTN total teat number

ISSN: 1297-9686