Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This p ....Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This project will develop machine learning (ML) tools for the analysis of pulse legume crop traits and their association with genomic variation to accelerate the breeding of high performance pulse legumes for Australian growers.Read moreRead less
Characterising structural variation in the canola genome. Characterising structural variation in the canola genome. This project aims to develop and apply genomic tools to identify and characterise structural genome variation in canola, a major Australian export crop, to better understand genome evolution and accelerate canola breeding. Advances in DNA sequencing revolutionise our understanding of crop genomes, their evolution and impact on the inheritance on agronomic traits. Variation of genom ....Characterising structural variation in the canola genome. Characterising structural variation in the canola genome. This project aims to develop and apply genomic tools to identify and characterise structural genome variation in canola, a major Australian export crop, to better understand genome evolution and accelerate canola breeding. Advances in DNA sequencing revolutionise our understanding of crop genomes, their evolution and impact on the inheritance on agronomic traits. Variation of genome structure between individuals could be important in the inheritance of important agronomic traits. Recent advances in technology permit the detailed characterisation of structural variation on a previously unfeasible scale. Anticipated outcomes are enhanced global food security, supporting rural Australian economies, and accelerating the improvement of other major crops.Read moreRead less