Improving the Sustainability of Australian Livestock Production Systems. The sustainability of livestock production systems must urgently be improved. This Future Fellowship builds upon Dr Zamira Gibb's portfolio of high-impact research to deliver extension and adoption activities which will improve the outcomes of cattle and horse selective breeding programs; allowing the dissemination of low-methane genetics to remote Northern Australian cattle breeding regions, reducing wastage of breeding ho ....Improving the Sustainability of Australian Livestock Production Systems. The sustainability of livestock production systems must urgently be improved. This Future Fellowship builds upon Dr Zamira Gibb's portfolio of high-impact research to deliver extension and adoption activities which will improve the outcomes of cattle and horse selective breeding programs; allowing the dissemination of low-methane genetics to remote Northern Australian cattle breeding regions, reducing wastage of breeding horses and dairy cattle, and improving foal heath and offspring longevity. This project will address the environmental, ethical, and economic concerns which threaten the sustainability of these culturally significant livestock industries which are the cornerstone of everyday life in regional communities. Read moreRead less
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less