Division of Quantitative Biology

The Doeschl-Wilson group investigates how the genetics of individuals affects the spread of infectious disease, both within an animal and between animals. We are an interdisciplinary group of scientists aiming to effectively combine field and laboratory experiments with mathematical modelling and quantitative genetics theory, with the ultimate aim to improve livestock health and resilience.  

Using the genetics and physiology of avian reproduction allows us to develop strategies utilising traditional or marker assisted selection to tackle problems as diverse as osteoporosis in laying hens, growth and reproduction in meat type birds, antimicrobial activity of egg white and shell quality in laying hens.

I lead the HighlanderLab, which focuses on managing and improving populations using data science, genetics, and breeding.

We focus on populations used for food, feed, and fibre production with some spillover into other populations.

 We are particularly interested in:

(i) methods for genetics and breeding,

(ii) design and optimisation of breeding programmes, and

(iii) analysis of data to unravel biology and to find new ways of improving populations.

Leverage Big Genomic Data through novel computational and bionformatics approaches to dissect genetically complex traits to improve efficiency and robustness of farmed animal species  

Application of population and quantitative genetic approaches to dissect the genetic basis of phenotypic traits in domesticated animal species and to analyze the processes of domestication and breed development.