Maximising effectiveness of limited insecticide resources to improve sheep health and wool yields
Project overview
Project title
Maximising effectiveness of limited insecticide resources to improve sheep health and wool yields.
Project description
This project will establish best practice for insecticide applications in the sheep industry using molecular genetic analysis and computational modelling. The expected outcomes are to understand the level of resistance and cross resistance to the primary insecticides and to use computational modelling to develop optimal strategies for insecticide rotation. This solution will help prolong the usefulness of existing insecticides thereby improving animal health and profitability.
Supervisory team
University
| Name of university supervisor | Simon Baxter |
| Name of university | University of Melbourne |
| Email address | simon.baxter@unimelb.edu.au |
| Faculty | Science |
CSIRO
| Name of CSIRO supervisor | Peter Hunt |
| Email address | Peter.Hunt@csiro.au |
| CSIRO Research Unit | Agriculture and Food |
Industry
| Name of industry supervisor | Carolina Diaz |
| Name of business/organisation | Australian Wool Innovation Limited |
| Email address | Carolina.Diaz@wool.com |
Further details
| Primary location of student | University of Melbourne, Grattan Street, Parkville VIC 3010, Australia |
| Industry engagement component location | Australian Wool Innovation Limited, Level 3, 24 York Street, Sydney NSW 2000, Australia |
| Other locations | CSIRO Armidale, New England Highway, Armidale NSW 2350, Australia |
| Ideal student skillset | Essential A broad interest and knowledge of subject matter relevant to genetics and animal sciences, as demonstrated via undergraduate coursework. A willingness to travel within Australia and driver’s license. Desirable This position will involve interacting with university academics, industry professionals and farmers. The student would benefit from confident social skills and the ability to lead tutorial style workshops. A background in molecular biology and/or bioinformatics, and knowledge of entomology or animal sciences would be beneficial. |
| Application close date | Open until position filled |
| Apply | Contact Simon Baxter |