Discovery Early Career Researcher Award - Grant ID: DE180100784
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Improving cereal grain quality using epigenetic regulators. The project aims to determine the epigenetic regulatory mechanisms that control cereal grain quality and yield under water-deficit and heat stress. The project will use next-generation sequencing to identify key epigenetic regulators and their functional target genes, which confer superior grain quality to elite genotypes under adverse environments. Project outcomes will benefit cereal breeding by providing more-tailored screening stra ....Improving cereal grain quality using epigenetic regulators. The project aims to determine the epigenetic regulatory mechanisms that control cereal grain quality and yield under water-deficit and heat stress. The project will use next-generation sequencing to identify key epigenetic regulators and their functional target genes, which confer superior grain quality to elite genotypes under adverse environments. Project outcomes will benefit cereal breeding by providing more-tailored screening strategies and superior parental germplasm with enhanced quality and yield. The development of nutritionally improved crops will benefit the Australian cereal industry and export opportunities.Read moreRead less
Field and quasi-field phenotyping for the quantitative characterisation of wheat yield under stress. The project aims to develop state-of-the-art monitoring and profiling capabilities for the quantitative assessment of plant growth performance in field and quasi-field environments under the abiotic stress conditions of drought and nutrient deficiency. This project involves the design and use of high resolution but low budget imaging stations to capture the growth of cereal plants in competitive ....Field and quasi-field phenotyping for the quantitative characterisation of wheat yield under stress. The project aims to develop state-of-the-art monitoring and profiling capabilities for the quantitative assessment of plant growth performance in field and quasi-field environments under the abiotic stress conditions of drought and nutrient deficiency. This project involves the design and use of high resolution but low budget imaging stations to capture the growth of cereal plants in competitive environments. Novel computer vision and image processing techniques will be applied to the image data to quantitatively characterise the success of genetic varieties to tolerate abiotic stress environments under actual field conditions.Read moreRead less