Prediction of genomic breeding values for growth, carcass and meat quality traits in a multi-breed sheep population using a HD SNP chip

Table 3 Heritability estimates, expected accuracy, theoretical accuracy, effective number of progeny and observed accuracies of molecular breeding values in different scenarios for carcass traits

Trait¹	h² ± SE	AccE	AccT	ENP	GB0	GB2PC	GB4PC	GB6PC	GB10	GB20	GBRCV	GBKCV	GBC
CCWT	0.23 ± 0.02	0.48	0.42	4	0.44	0.38	0.35	0.31	0.44	0.44	0.51 ± 0.01	0.30 ± 0.08	0.22 ± 0.16
HCWT	0.21 ± 0.02	0.46	0.42	5	0.46	0.40	0.37	0.33	0.46	0.46	0.52 ± 0.01	0.31 ± 0.08	0.23 ± 0.17
SFXWT	0.19 ± 0.02	0.44	0.41	6	0.47	0.40	0.36	0.32	0.47	0.47	0.54 ± 0.02	0.30 ± 0.12	0.22 ± 0.16
DRESS	0.24 ± 0.02	0.48	0.46	13	0.67	0.66	0.66	0.61	0.67	0.67	0.67 ± 0.02	0.47 ± 0.07	0.51 ± 0.10
CBUTT	0.28 ± 0.02	0.51	0.45	5	0.52	0.51	0.46	0.40	0.53	0.53	0.55 ± 0.02	0.37 ± 0.07	0.31 ± 0.18
CBUTTad	0.24 ± 0.02	0.48	0.46	9	0.59	0.56	0.52	0.46	0.60	0.61	0.60 ± 0.02	0.37 ± 0.04	0.45 ± 0.14
CGRM	0.23 ± 0.02	0.47	0.43	7	0.54	0.32	0.32	0.33	0.55	0.55	0.55 ± 0.02	0.28 ± 0.07	0.26 ± 0.09
CGRMad	0.23 ± 0.02	0.47	0.48	8	0.57	0.34	0.34	0.31	0.58	0.58	0.59 ± 0.01	0.35 ± 0.07	0.35 ± 0.17
SFFORE	0.17 ± 0.02	0.41	0.39	6	0.45	0.42	0.37	0.32	0.45	0.45	0.53 ± 0.03	0.32 ± 0.14	0.23 ± 0.12
SFLEG	0.18 ± 0.02	0.42	0.39	8	0.52	0.44	0.42	0.36	0.52	0.52	0.54 ± 0.03	0.32 ± 0.10	0.25 ± 0.17
SFMID	0.24 ± 0.02	0.47	0.44	5	0.49	0.34	0.34	0.31	0.49	0.49	0.51 ± 0.02	0.28 ± 0.11	0.14 ± 0.12
SFRIB	0.14 ± 0.02	0.38	0.35	3	0.30	0.30	0.30	0.30	0.30	0.30	0.44 ± 0.03	0.31 ± 0.06	0.22 ± 0.21
Average	0.22 ± 0.03	0.46 ± 0.03	0.43	6.58 ± 2.46	0.50 ± 0.08	0.42 ± 0.10	0.40 ± 0.09	0.36 ± 0.08	0.50 ± 0.09	0.51 ± 0.09	0.55 ± 0.05	0.33 ± 0.05	0.28 ± 0.09

¹Abbreviations are presented in Table 1; “ad”: traits that were adjusted for correlated variables; h²: heritability estimate; AccE: Expected accuracy; AccT: Theoretical accuracy from the MME; ENP: effective number of progeny calculated using the accuracies from GB0; GB0: GBLUP accuracies fitting only G matrix; GB10 and GB20: accuracies of GBLUP fitting G matrix and 10 or 20% of A matrix, respectively; GB2PC, GB4PC and GB6PC: GBLUP accuracies fitting for 2, 4 or 6 principal components, respectively; GBRCV: GBLUP accuracies for random cross-validation; GBKCV: GBLUP accuracies for k-means clustering; GBC: GBLUP accuracies for predictions performed within each cluster

ISSN: 2730-6844