Comparison of single-trait and multiple-trait genomic prediction models

BMC Genomic Data

Table 4 Regression coefficients of true breeding values on genomic estimated breeding values for the validation animals (The subscripts are the standard deviations of 10 replicates)

Trait	Data type	Single-trait				Multiple-trait
Trait	Data type	b_{GEBV_m}	b_{GEBV_mc}	b_{GEBV_s}	b_{GEBV_sc}	b_{GEBV_m}	b_{GEBV_mc}	b_{GEBV_s}	b_{GEBV_sc}
I	No missing for both traits	1.105_0.016	1.002_0.015	1.108_0.017	1.006_0.016	1.105_0.016	1.003_0.015	1.112_0.017	1.008_0.016
I	Missing for trait I	1.066_0.029	0.959_0.032	1.071_0.034	0.964_0.037	1.089_0.029	0.980_0.031	1.084_0.046	0.975_0.048
II	No missing for both traits	1.240_0.049	0.875_0.038	1.486_0.060	1.048_0.054	1.250_0.049	0.880_0.038	1.516_0.059	1.069_0.055
	Missing for trait II	1.212_0.116	0.848_0.089	1.444_0.209	1.010_0.156	1.190_0.067	0.832_0.042	1.567_0.121	1.095_0.082

b_GEBV: the regression coefficient of true breeding values (TBV) on the estimated breeding values (EBVs) for the validation animals.
GEBV_m: the genomic estimated breeding value (GEBV) predicted using the EBV response variable calculated from the conventional multi-trait linear mixed model.
GEBV_s: the GEBV predicted using the EBV response variable calculated from the conventional single-trait linear mixed model.
GEBV_mc: GEBV_m divided by the average reliability of EBV for the reference animals.
GEBV_sc: GEBV_s divided by the average reliability of EBV for the reference animals.

ISSN: 2730-6844