30 September 2019 from 10:30 to 11:30

Promotion: Data-based Approaches for Healthy Companion Animal Breeding

The breeding of purebred dogs and cats by character and exterior features, occasionally with a small number of individuals used to produce next generations, can lead to two types of health issues. These are inherited diseases, which accidentally have a high prevalence in a breed, and harmful breed characteristics, where extreme exterior features result in health issues. One of the challenges is the lack of usable data from the population. An exploration of different available data sources in the Netherlands (practice, insurance and laboratory) showed that rough estimates of lifespan and frequency of practice visits can be made. Data from veterinary practice is the most important source of information, but is not always readily available. This is why a software system was developed to collect population data regarding demography and diseases from primary practice: PETscan. Longitudinal data collection through PETscan has the greatest potential as a signalling tool and to prioritise further research. 
In the thesis, Sylvia Keijser gives an example of a DNA tool that can be used in sensible breeding plans. In the end quantitative data, DNA testing, screening of both the individual and the population, and common sense, should lead to a healthier canine and feline population in the Netherlands.
 

Start date and time
30 September 2019 10:30
End date and time
30 September 2019 11:30
PhD candidate
S.F.A. Keijser
Dissertation
Data-based Approaches for Healthy Companion Animal Breeding
PhD supervisor(s)
prof. dr. J.W. Hesselink, prof. dr. M. Nielen
Co-supervisor(s)
dr. F.G. Van Steenbeek, dr. H. Fieten