Genomic prediction for tuberculosis resistance in dairy cattle.

ABSTRACT:

Background

The increasing prevalence of bovine tuberculosis (bTB) in the UK and the limitations of the currently available diagnostic and control methods require the development of complementary approaches to assist in the sustainable control of the disease. One potential approach is the identification of animals that are genetically more resistant to bTB, to enable breeding of animals with enhanced resistance. This paper focuses on prediction of resistance to bTB. We explore estimation of direct genomic estimated breeding values (DGVs) for bTB resistance in UK dairy cattle, using dense SNP chip data, and test these genomic predictions for situations when disease phenotypes are not available on selection candidates.

Methodology/principal findings

We estimated DGVs using geno

SUBMITTER: Tsairidou S 

PROVIDER: S-EPMC4014548 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature