Discovery Early Career Researcher Award - Grant ID: DE170100151
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Enhancing resistance to wheat stripe rust disease. This project aims to investigate why wheat succumbs to stripe rust fungus, a grave threat to global wheat production. Wheat is the primary agricultural and revenue crop of Australia, cultivated since early European settlement. Severe disease epidemics arise when the fast evolving rust pathogen breaks down host plant genetic resistance. This project will investigate the molecular mechanisms of host-pathogen recognition and the consequences of pat ....Enhancing resistance to wheat stripe rust disease. This project aims to investigate why wheat succumbs to stripe rust fungus, a grave threat to global wheat production. Wheat is the primary agricultural and revenue crop of Australia, cultivated since early European settlement. Severe disease epidemics arise when the fast evolving rust pathogen breaks down host plant genetic resistance. This project will investigate the molecular mechanisms of host-pathogen recognition and the consequences of pathogen variation to determine the causes of resistance breakdown. The expected outcome is robust rust-resistant wheat cultivars to maintain global food security.Read moreRead less
TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. ....TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. The research team unites international industry, the Australian Plant Phenomics Facility, and university statistical geneticists. TraitCapture software will use open standards applicable to both controlled and field environments enabling plant breeders to pre-select adaptive traits to increase crop productivity under environmental stress.Read moreRead less