Table 4.

Prediction accuracy of performance of crossbred sows for gestation length and litter size

Modela	Trainingb	Accuracyc	SDd
Litter size
GS	LW	0.06	0.10
	LR	0.07	0.11
	F1	0.23	0.08
BS	LW	0.06	0.11
	LR	0.06	0.13
	LW and LR*	0.09	0.12
	F1LW	0.21	0.08
	F1LR	0.12	0.09
	F1LW and F1LR*	0.23	0.08
Gestation length
GS	LW	0.42	0.08
	LR	0.30	0.09
	F1	0.52	0.08
BS	LW	0.39	0.08
	LR	0.23	0.10
	LW and LR*	0.45	0.08
	F1LW	0.43	0.08
	F1LR	0.34	0.09
	F1LW and F1LR*	0.53	0.08

* Predicted direct genomic value was the “total direct genomic value” (sum of the breed-specific direct genomic values)

^aGS, traditional genomic selection model; BS, model that accounts for breed-specific effects

^bLW, Large White; LR, Landrace; F1, two-way crossbred; F1_LW, alleles of the F1 population inherited from the LW population; F1_LR, alleles of the F1 population inherited from the LR population. Training populations in each replicate were defined as a random set of 90% (N = 832) of the animals used for the estimation of variance components

^cAverage of the 40 replicates; accuracy was defined as the correlation between the direct genomic values of the validation population [random set of 10% (N = 92) of the crossbred animals used for the estimation of variance components] and their average pre-adjusted phenotypes in each replicate

^dStandard deviation over replicates; the highest accuracies for each model and trait are indicated in bold