Table 7. SNPs selected¹ for the multi-SNP models, corresponding gene, and model adequacy indicator.

				RMSE2
Phenotype	SNP	BTA	Gene Symbol	T				V		MA4
ADG	rs108939474	2	-	0.1049				0.1187		11.68%
	rs109934193	2	NCKAP5
	rs110787048	4	DPP6
	rs42433916	7	-
	rs109945988	11	-
	rs109957444	14	FAM135B
	rs42230512	14	TATDN1
	rs108964818	15	KDELC2
	rs41768978	15	PHOX2A
DMI	rs41588990	6	CNOT6L	0.5242				0.5650		7.21%
	rs41577108	13	-
	rs41629972	13	-
	rs41632270	13	-
	rs41577655	15	-
	rs43291568	15	CLMP
	rs110911295	20	-
	rs41624569	26	-
				RMSE 2
				ADG		DMI		RMSC 3
				T	V	T	V	T	V	MA 4
Bivariate	rs108964818	15	KDELC2	0.0802	0.0985	0.3700	0.4672	0.0949	0.1166	19.40%
	rs110522962	17	-
	rs41624569	26	-
	rs41600811	22	-
	rs109709275	15	GRAMD1B
	rs42459305	29	-
	rs109945988	11	-

¹P-value <0.0001;

²Root mean square errors (RMSE) for the models using the training (T) and validation (V) data sets;

³Root means square covariance (RMSC) for the bivariate model using the training (T) and validation (V) data sets;

⁴MA, Model adequacy as defined in Eqs. 3 and 4, for the univariate and bivariate analyses, respectively.