Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk mat ....Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk matrix. Recorded heart rate and ECG data will also be analysed using artificial intelligence to detect early evidence of the development of cardiac arrhythmias. The system will improve racehorse welfare, providing a simple interface to warn trainers when risk of injury becomes high, in order to prevent catastrophic breakdown.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101470
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Improving poultry health and performance through microbiota manipulations. The project aims to develop methods to modulate microbiota to improve poultry health and productivity and reduce the need for antibiotics. Probiotic administration is currently the only way in agriculture to restore imbalanced intestinal microbiota. Recent research shows that intestinal microbiota resist all new-coming bacteria and remove them from the intestinal environment. The initial inoculum at the time of birth shap ....Improving poultry health and performance through microbiota manipulations. The project aims to develop methods to modulate microbiota to improve poultry health and productivity and reduce the need for antibiotics. Probiotic administration is currently the only way in agriculture to restore imbalanced intestinal microbiota. Recent research shows that intestinal microbiota resist all new-coming bacteria and remove them from the intestinal environment. The initial inoculum at the time of birth shapes the gut microbiota for life and has the strongest influence on development of the immune system. Accordingly, at-hatch administration of proven beneficial strains to poultry is likely to ensure permanent colonisation with beneficial bacteria. This process would improve both the productivity and health of poultry and other agricultural animals.Read moreRead less
Proteomic and genetic analysis of subfertile bull spermatozoa. This project aims to identify protein changes on spermatozoa that are highly correlated with the fertility status of bulls. Bull fertility has approached an all-time low as breeding practice has focused predominately on milk production and beef tenderness. This project aims to understand the genetic causes that underpin bull and cattle infertility, and investigate better methods to predict the fertility status of bulls. This project ....Proteomic and genetic analysis of subfertile bull spermatozoa. This project aims to identify protein changes on spermatozoa that are highly correlated with the fertility status of bulls. Bull fertility has approached an all-time low as breeding practice has focused predominately on milk production and beef tenderness. This project aims to understand the genetic causes that underpin bull and cattle infertility, and investigate better methods to predict the fertility status of bulls. This project expects to contribute to better clinical management of cattle. This information can then be used for the development of a better diagnostic assay for both the dairy and beef industry.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170101132
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
How social relationships improve sheep productivity. This project aims to determine how the social network structure of a flock and different individuals’ experience and leadership abilities improve a population’s well-being and productivity (wool clip and lambing rates). This project will use social network theory and collective behaviour in animals to manage sheep in Australia’s arid rangelands, which are important for the pastoral industry, but where ecological challenges reduce livestock pro ....How social relationships improve sheep productivity. This project aims to determine how the social network structure of a flock and different individuals’ experience and leadership abilities improve a population’s well-being and productivity (wool clip and lambing rates). This project will use social network theory and collective behaviour in animals to manage sheep in Australia’s arid rangelands, which are important for the pastoral industry, but where ecological challenges reduce livestock productivity. An expected outcome is management guidelines for the sheep industry to improve wool and meat production.Read moreRead less