PhD Graduates

We are proud to announce the graduations and upcoming defences of Animal Breeding & Genomics PhD candidates.

- Latest update: May 2019 -

Qiuyu Wang

On Tuesday May 21 at 16:00 hours, Qiuyu Wang will defend his thesis entitled “The genetic background of milk infrared spectra”.

Summary

Milk infrared (IR) spectroscopy is a cheap, quick and high-throughput technique that has been widely used to determine milk components. It has been used as the standard method for routine quantification of fat, protein and lactose content of milk, and it is a promising technique to obtain information about milk composition. It is of interest to investigate which factors have impact on the measurements of individual IR wavenumbers.

This thesis focuses on exploring the genetic background of bovine milk IR spectra, identifying the environmental factors affecting milk IR spectra, and combined use genotypic information and milk IR spectra to predict dairy cattle phenotypes. This thesis also suggested the importance of using proper validation strategy when predicting dairy cattle phenotypes, and wavenumbers from water absorption regions can be used as a negative control in prediction. The research presented in his thesis is part of the project “Milk Genomics”.

Kasper Janssen

On Tuesday June 4 at 13:30 hours, Kasper Janssen will defend his thesis entitled “The economic optimization of breeding programs in aquaculture”.

Summary

Breeding programs improve the genetic level of traits of farmed fish, so that the economic efficiency of production increases. To maximize the objective of a breeding program, many variables can be optimized. These include the emphasis on breeding goal traits, the genetic lag, the selection intensity, and the accuracy of selection.

The aim of this thesis is to study the economic optimization of breeding programs in aquaculture. Using survey results, we assess the impact of selective breeding on European aquaculture. The work provides insights in the extent to which genetic improvement of traits increases farm profit, as well as the underlying mechanisms. We present methods for the derivation of economic values of production traits and of disease resistance (R0) for macro- and microparasitic diseases. We optimize breeding program designs of integrated and specialized breeding companies with different objectives.