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Table 3 Summary of regions identified with alternative strategies: 1) the AM-BLUP approach when significance thresholds are defined by permutations and the confidence interval with a bootstrapping approach (BAM-BLUP) and 2) windows of 25 SNPs having a cumulative posterior inclusion probability (PIP) larger than 0.50 (WPIP-GBLUP). The table reports also the percentage of additive genetic variance (\( {\upsigma}_{\mathrm{g}}^2 \)) captured by the identified regions

From: Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle

Trait BAM-BLUP WPIP-GBLUP
Number of regions Total length of regions (Mb) Proportion \( {\upsigma}_{\mathrm{g}}^2 \) (in %) Number of SNPs Number of regions Total length of regions (Mb) Proportion \( {\upsigma}_{\mathrm{g}}^2 \) (in %) Number of SNPs
Shoulder muscling 6 40.5 10.7 636 1 0.0 3.3 1
Top muscling 9 45.5 19.4 714 3 0.4 6.5 4
Skin thickness 2 15.5 14.5 225 1 0.0 6.8 1
Height 14 95.0 32.8 1546 12 11.7 18.7 46
Muscular development 7 57.0 17.0 909 2 0.6 4.7 3
Rump 4 26.0 14.0 419 2 0.0 4.0 2
Length 8 38.5 25.3 599 6 4.1 12.8 15
Chest width 5 32.5 11.9 488 1 1.1 1.9 3
Pelvis width 4 26.0 9.0 414 6 7.1 11.0 41
Rib shape 3 22.0 7.2 357 1 0.0 3.1 1
Pelvis length 4 25.0 18.0 405 5 2.4 10.0 17
Tail-set 3 15.5 8.5 252 1 0.5 5.2 10
Buttock muscling (side) 7 47.5 14.2 740 2 1.9 2.6 9
Buttock muscling (rear) 4 43.5 14.1 668 3 0.0 6.2 3