Selecting the best cattle for production is one of the biggest challenges in cattle breeding programmes and industry. Nowadays, the most effective way to recognise the best cattle is through its genomic information. It is therefore very important to predict an animal’s genetic potential more accurately and as early in its life as possible.

During his PhD studies, Vahid Edriss looked at ways to improve the accuracy of predicting an animal’s genetic potential by utilising the genomic data more efficiently. Being able to predict genetic potential more accurately could lead to selection of the best animals as parents for the next generations.

The PhD degree was completed at the Department of Molecular Biology and Genetics, Science and Technology, Aarhus University.

Time: Friday 14 December 2012 at 09.00
Place: Lecture Theatre, AU Foulum
Title of dissertation: Efficient marker data utilisation in genomic prediction
Contact information: Vahid Edriss, Vahid.Edriss@agrsci.dk, +45 8715 4984
Members of the assessment committee:
Professor Georg Thaller, Institute of Animal Breeding and Husbandry, Kiel University, Germany
Senior Researcher Mario Calus, Animal Breeding and Genomics Centre, Wageningen University, the Netherlands
Professor Just Jensen (chair), Department of Molecular Biology and Genetics, Aarhus University
Main supervisor:
Senior Researcher Guosheng Su, Department of Molecular Biology and Genetics, Aarhus University
Co-supervisors:
Professor Mogens Sandø Lund, Department of Molecular Biology and Genetics, Aarhus University
Associate Professor Bernt Guldbrantsen, Department of Molecular Biology and Genetics, Aarhus University
Language: The dissertation will be defended in English

The defence is public.
The dissertation is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1521, room 112, 8000 Aarhus C.