Data-based Approaches for Healthy Companion Animal Breeding

Abstract

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 prioritize further research. In the thesis, an example is given 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.