Genomic prediction of breeding values for carcass traits in Nellore cattle

Table 4 Regression coefficient of the pseudo-phenotype on direct genomic breeding values [b(y_i,DGV)] and mean squared error of prediction (MSE) for rib eye area (REA), backfat thickness (BFT) and hot carcass weight (HCW) obtained with different models to estimate SNP effects

Trait	Type	b(y_i,DGV)			MSE
Trait	Type	BRR	BC	BL	BRR	BC	BL
REA (cm²)	Y*	0.99	0.93	1.02	45.56	45.62	45.56
REA (cm²)	EBV	1.07	1.02	1.09	1.95	1.96	1.96
BFT (mm)	Y*	0.40	0.37	0.39	3.30	3.33	3.32
BFT (mm)	EBV	0.90	0.90	0.98	0.03	0.03	0.03
HCW (kg)	Y*	0.93	0.80	0.96	261.5	262.0	261.8
HCW (kg)	EBV	1.11	1.07	1.14	7.35	7.37	7.36

Y* phenotype adjusted for fixed effects, EBV estimated breeding value, y _i pseudo-phenotype, BRR bayesian ridge regression, BC Bayes C, BL Bayesian Lasso, REA rib eye area, BFT backfat thickness, HCW hot carcass weight, \({\text{MSE }} = \frac{1}{N}\mathop \sum \nolimits (y_{i} - DGV)^{2}\)

ISSN: 1297-9686