Early Career Industry Fellowships - Grant ID: IE230100179
Funder
Australian Research Council
Funding Amount
$457,906.00
Summary
Drought tolerance in sorghum: the roots of the solution. This project aims to develop an efficient, cost-effective sensing platform for visualising sorghum root systems in the field. Through innovative use of above and below ground sensing technologies, this project expects to generate new knowledge on the association between root structure and improved yield stability under drought stress. Expected outcomes include improved capacity for sorghum breeders and new digital agriculture products and ....Drought tolerance in sorghum: the roots of the solution. This project aims to develop an efficient, cost-effective sensing platform for visualising sorghum root systems in the field. Through innovative use of above and below ground sensing technologies, this project expects to generate new knowledge on the association between root structure and improved yield stability under drought stress. Expected outcomes include improved capacity for sorghum breeders and new digital agriculture products and services to support the industry more broadly. Given that sorghum is the main summer cereal grown in Australia, this should provide significant benefits, such as improved productivity and profitability for the Australian agriculture sector. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100854
Funder
Australian Research Council
Funding Amount
$461,249.00
Summary
Model-directed bioengineering strategy for accelerating crop improvement. The aim is to use an advanced mechanistic crop model to investigate the interacting plant physiological processes that define yield consequences, using a sorghum model. This will involve unravelling the complex relationship between leaf gas exchange properties and crop field performance. Through a unique combination of model prediction and gene editing to target the photosynthetic pathway and stomata, the research is expec ....Model-directed bioengineering strategy for accelerating crop improvement. The aim is to use an advanced mechanistic crop model to investigate the interacting plant physiological processes that define yield consequences, using a sorghum model. This will involve unravelling the complex relationship between leaf gas exchange properties and crop field performance. Through a unique combination of model prediction and gene editing to target the photosynthetic pathway and stomata, the research is expected to gain a deep mechanistic understanding of the underpinning processes and drive the transfer of promising bioengineering targets into crops. The research is expected to discover new avenues for crop improvement, and significantly benefit crop breeding and food production capacity.Read moreRead less