Genomic selection is becoming the state-of-the art method for breeding and selection in the breeding industry. In theory, the newly available genome sequence data allows to further investigate the genetic basis of breeding goal traits.
In animal breeding, it is foreseen that genome sequence data will be available on a large scale in a few years’ time. Important questions are:
- how are we going to deal with this new data with enormous dimensions, and
- what is the added benefit of using this versus currently available SNP (single nucleotide polymorphism) arrays?
Aim of this project is to develop models to utilize genome sequence data to its full extent as required for precision breeding. An important challenge is to relate the increasing amount of genomic data to phenotypic data, to allow predicting of the breeding value (genetic potential) of animals across the range of breeding goal traits. This project primarily focusses on Holstein dairy cattle, because this population has a known pedigree structure and reliable phenotypes.
1000 Bull Genomes - Toward genomic Selectionf from whole genome sequence Data in Dairy and Beef Cattle
1000 Bull Genomes Consortium Project
In: Plant and Animal Genome XX Conference, San Diego, CA, USA, 14-18 January 2012. -
A comparison of principal component regression and genomic REML for genomic prediction across populations
Genetics, Selection, Evolution 46 (2014). - ISSN 0999-193X - 14 p.
Accuracy of imputation to whole-genome sequence data in Holstein Friesian cattle
Composition of genetic covariance between traits using high density SNP information, a quantative perspective
In: Book of abstracts 4th International Conference of Quantative Genetics, Edingburgh, 17-22 June 2012. - Edingburgh - p. 183 - 183.
Effect of linkage disequilibrium and family relationships on reliability of direct genomic values
Exploiting genomic selection in breeding for fertility
In: Proceedings of the 15th Annual Conference of the European Society for Domestic Animal Reproduction (ESDAR), Antalya, Turkey,15–17 September 2011. - - p. 70 - 71.
Genomic prediction in animals and plants: simulation of data, validation, reporting, and benchmarking
Genetics 193 (2013)2. - ISSN 0016-6731 - p. 347 - 365.
Genomic selection - Prospects and challenges
Genomic selection - Uitdagingen en vooruitzichten