What We Do

We’ve developed a prototype smartphone app for collecting metadata Connected to an online database, this app will help our researchers collect data on diseased leaf samples, opening up new avenues for improved bioinformatic crop disease research.
We’ve used imaging data to see nutrient re-distribution in diseased leaves Using the X-Ray fluorescence microscopy (XFM) beamline at the Australian Synchrotron facility in Melbourne, we’ve created high-resolution nutrient mapping of infected leaves - the first reported use of this instrument to study the physiological impacts of plant diseases.
We develop data-driven solutions for major wheat pathogens We’ve generated genetic data for more than 150 new isolates of the wheat pathogen Septoria Nodorum Blotch (SNB), and have developed software for the improved prediction of important disease-causing fungal genes (effectors).

Our Current Projects


Our specialist team of bioinformaticians works collaboratively across our core research themes, developing data-driven solutions for fast tracking genetic analysis and to develop more effective predictive tools to understand fungal disease.
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Physiological Impacts of Disease

A project dedicated to helping us better understand plant and pathogen interactions and the physiological impacts of fungal pathogens on crop performance, including yield potential, following the application of fungicide.
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Genomics of Co-infection

By learning more about the molecular mechanism behind fungal co-infection of wheat and effector regulation, we will uncover new information to help inform protection strategies and disease resistance breeding.
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Improving Return on Agribusiness Investment

With tools based on economic modelling, we are assisting industry to make effective and profitable farm management decisions with the goal of improving disease management systems and the return on investments in crop protection.
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