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

Advanced bioinformatic approaches

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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Effector and co-infection biology

Our specialist team of bioinformaticians drives cutting-edge plant pathogen genomics research and 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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Fungicide dynamics

By exploring the processes, transformations and lifespans of fungicides once they enter into a plant system, we will expand our knowledge on fungicide dynamics to improve fungicide efficacy for growers.
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Plant physiological responses to fungal diseases

A project dedicated to application of multifaceted techniques to characterise complex molecular traits involved in disease tolerance and tissue recovery.
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Impact, economics and engagement

By combining tools based on economic modelling with strategic extension activities, we are assisting industry to make effective and profitable farm management decisions with the goal of improving disease management systems for maximum economic impact.
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DataHarvest

DataHarvest is a national project that focuses on improving the way research, development and extension (RD&E) data is managed in the grains industry. The project is co-funded by the GRDC and Curtin University. Its primary objective is to ensure that all RD&E data generated from GRDC investments are collected and stored in a way that makes them easy to find, access and reuse, accelerating new research outcomes with improved efficiency and less duplication.
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