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This thesis explores various aspects of genetic evaluation using genomic information. Genomic selection is based on the prediction of the effects of thousands of markers that are associated with quantitative trait loci (QTL), usually through linkage disequilibrium. However, genomic predictions of breeding value are also strongly affected by the degree of relatedness between individuals. A better understanding of genomic selection has possible consequences for evaluating genomic prediction accuracy, the design of reference populations and managing the balance between genetic gain and inbreeding. This thesis aims to gain an understanding into the use of genomic information in the genetic evaluation of livestock. |
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