Efficiency of sequence data for genomic prediction

The main aim of the project is to investigate the benefits of using whole genome sequence data in selection and breeding of animals and plants.

In the application of genomic predictions these benefits will be compared to currently available high density marker panels. It is expected that whole genome sequence data will lead to better models and better predictions of phenotypes.

The first part of the project will focus on investigating the accuracy of imputation from current available marker genotypes to whole genome sequence genotypes. Thereafter, the accuracy of estimating genomic breeding values using the (imputed) sequence data will be studied. In the second part, more complex situations will be studied (e.g. genotype x environment interactions, recombination patterns or non-additive effects) using sequence data of plants.