Use of principal component approach to predict direct genomic breeding values for beef traits in Italian Simmental cattle.


In the current study, principal component (PC) analysis was used to reduce the number of predictors in the estimation of direct genomic breeding values (DGV) for meat traits in a sample of 479 Italian Simmental bulls. Single nucleotide polymorphism marker genotypes were determined with the 54K Illumina beadchip. After edits, 457 bulls and 40,179 SNP were… (More)
DOI: 10.2527/jas.2011-5061


7 Figures and Tables