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Table 1 Summary of significant associations identified with the AM-BLUP approach, with the Bayesian Sparse Linear Mixed Model (BSLMM) and by genome-wide association study (GWAS). 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 Regions identified with AM-BLUP BSLMM GWAS
Number of regions Proportion \( {\upsigma}_{\mathrm{g}}^2 \) (in %) Total length of regions (Mb) Number of SNPs Number of SNPs with PIP > 0.5 Number of regions Number of significant SNPs
Shoulder muscling 6 10.8 53.2 814 1 3 5
Top muscling 9 18.4 62.5 948 3 3 8
Skin thickness 2 12.9 19.4 234 1 2 15
Height 9 24.6 84.3 1301 9 10 42
Muscular development 12 19.4 104.7 1593 2 8 13
Rump 3 13.2 37.8 595 2 5 14
Length 9 22.2 59.4 883 6 5 12
Chest width 2 6.1 14.2 230 3 2 2
Pelvis width 2 6.0 18.0 300 2 3 5
Rib shape 2 4.3 19.8 291 1 3 3
Pelvis length 4 18.2 35.8 595 4 3 5
Tail set 2 5.7 20.7 316 0 3 3
Buttock muscling (side) 5 11.0 64.1 950 1 6 20
Buttock muscling (rear) 5 15.1 73.8 1048 3 4 5