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Title: Predicion of total genetic value using a 50K SNP chip in Holstein breed

Author
item Van Tassell, Curtis - Curt
item Sonstegard, Tad
item MATUKUMALLI, LAKSHMI - GEORGE MASON UNIVERSITY
item Vanraden, Paul
item Wiggans, George

Submitted to: Brazilian Animal Science Society
Publication Type: Abstract Only
Publication Acceptance Date: 7/22/2008
Publication Date: 8/1/2008
Citation: Silva, M.V., Van Tassell, C.P., Sonstegard, T.S., Matukumalli, L., Van Raden, P.M., Wiggans, G.R. 2008. Predicion of total genetic value using a 50K SNP chip in Holstein breed. Brazilian Animal Science Society.

Interpretive Summary:

Technical Abstract: Genomic selection is a form of marker-assisted selection in which genetic markers covering the whole genome are used in which all quantitative trait loci (QTL) are in linkage disequilibrium with at least one marker. The use of genomic selection approach has become feasible thanks to the large number of single nucleotide polymorphisms (SNP) discovered by genome sequencing and new methods to efficiently genotype large number of SNP as the new Illumina iSelect Bovine 50K Chip. With genomic selection, selection can be based on the sum of estimates of effects of all markers across the genome, fitted as random effects. The objective of this paper was estimate the genomic breeding value of 474 Holstein young bulls predicted from a large number of estimated single marker effects across the whole genome using the PTA milk from 2378 bulls were borne before 2000. The marker effects were estimated by BLUP estimation (ridge regression) and Bayesian method that assumed a prior distribution of the variance associated with each chromosome. It was concluded that methods that assumed a prior distribution for the variance associated with each chromosome segment gave more accurate predictions of breeding values than traditional methods.