Genetic analysis of disease resilience of wean-to-finish pigs under a natural disease challenge model using reaction norms

Table 4 Estimates of heritability and genetic correlations from the multi-variate (MTV, 3-trait) and the linear and cubic spline reaction norm model analyses for low, medium, and high challenge loads, and the Akaike Information Criterion (AIC) for each model and trait

	cNurADG			FinADG			cNurTRT			AllTRT
	MTV	Linear RN	Cubic RN	MTV	Linear RN	Cubic RN	MTV	Linear RN	Cubic RN	MTV	Linear RN	Cubic RN
Heritability
Low^a	0.33	0.35	0.44	0.55	0.38	0.42	0.18	0.18	0.20	0.28	0.24	0.33
Medium^b	0.17	0.22	0.38	0.28	0.26	0.54	0.22	0.14	0.34	0.46	0.33	0.48
High^c	0.23	0.42	0.56	0.42	0.25	0.70	0.26	0.22	0.42	0.52	0.53	0.79
Genetic correlation
Low-medium	0.74	0.82	0.79	0.03	0.95	0.73	0.84	0.86	0.66	0.84	0.89	0.69
Low–high	0.79	0.08	0.14	− 0.09	0.40	0.06	0.03	0.16	0.17	− 0.10	0.27	0.18
Medium–high	0.59	0.63	0.69	0.67	0.67	0.60	− 0.24	0.63	0.81	− 0.02	0.68	0.80
AIC	− 9401.05	− 9462.96	− 9467.15	− 7520.05	− 7615.61	− 7542.87	3482.47	3526.30	3514.87	4430.96	4308.34	4303.65

cNurADG: growth rate in the challenge nursery; FinADG: growth rate in the finisher; cNurTRT: medical treatment rate in the challenge nursery; AllTRT: medical treatment rate across the challenge nursery and finisher; AIC: Akaike information criterion. cNurADG was analyzed based on CL derived from early finisher growth rate (FinCLg); FinADG, cNurTRT, and AllTRT were based on CL derived from the clinical disease traits across the challenge nursery and finisher (CLc); figures in italic characters indicate the lowest AIC value for that trait
^aLow challenge load
^bMedium challenge load
^cHigh challenge load

ISSN: 1297-9686