Accuracy of Estimation of Genomic Breeding Values in Pigs Using Low-Density Genotypes and Imputation, G3 Genes Genomes Genet, vol.4, pp.623-631, 2014. ,
Conséquences d'une sélection sur l'homogénéité du poids des porcelets à la naissance sur la productivité numérique des truies Large White et Landrace Français, Journées Recherche Porcine, vol.46, pp.19-24, 2014. ,
Practical implementation of cost-effective genomic selection in commercial pig breeding using imputation, J. Anim. Sci, vol.91, pp.3583-3592, 2013. ,
Genotype imputation accuracy in a F2 pig population using high density and low density SNP panels, BMC Genet, vol.14, p.38, 2013. ,
Assessment of alternative genotyping strategies to maximize imputation accuracy at minimal cost, Genet. Sel. Evol, vol.44, p.25, 2012. ,
A relationship matrix including full pedigree and genomic information, J Dairy Sci, vol.92, pp.4656-4663, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-02668784
Presented at the 7th World Congress in Genetics Applied to Livestock Production, 2002. ,
FImpute -An efficient imputation algorithm for dairy cattle populations, J. Dairy Sci, vol.94, 2011. ,
Genomic selection using low density marker panels with application to a sire line in pigs, Genet. Sel. Evol, vol.45, p.28, 2013. ,
Imputation of genotypes in Danish purebred and two-way crossbred pigs using low-density panels, Genet. Sel. Evol, vol.47, p.54, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01339536
, Figure 1. Imputation error rate per chromosome in the three French pig population Landrace