Enhancing Genomic Prediction for Changing Environments in Wheat. Adverse weather is the primary risk faced by the Australian agriculture industry. This Project aims to develop the next generation of agriculture tools to unlock natural potential in wheat and improve yield stability across seasons and regions. Drawing on crop physiology, genetics and integrated modelling, this Project expects to generate new knowledge and technologies to untangle genetic and environmental interactions that affect ....Enhancing Genomic Prediction for Changing Environments in Wheat. Adverse weather is the primary risk faced by the Australian agriculture industry. This Project aims to develop the next generation of agriculture tools to unlock natural potential in wheat and improve yield stability across seasons and regions. Drawing on crop physiology, genetics and integrated modelling, this Project expects to generate new knowledge and technologies to untangle genetic and environmental interactions that affect productivity, enhance predictive capability, and initiate advanced breeding strategies to develop new crop varieties with superior resilience against changing climates. This should provide significant benefits, such as profit stability for wheat growers, elevated global market position and improved food security.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100893
Funder
Australian Research Council
Funding Amount
$364,000.00
Summary
How do effector proteins from necrotrophic fungi cause disease in plants? This project aims to develop new knowledge to support the development of strategies to protect wheat from necrotrophic fungi. Crop losses caused by plant diseases are a significant economic, environmental and social challenge in a world facing increased demands on food, fibre and biofuels. Parastagonospora nodorum is an economically important necrotrophic fungal pathogen of wheat. During infection, P. nodorum uses effector ....How do effector proteins from necrotrophic fungi cause disease in plants? This project aims to develop new knowledge to support the development of strategies to protect wheat from necrotrophic fungi. Crop losses caused by plant diseases are a significant economic, environmental and social challenge in a world facing increased demands on food, fibre and biofuels. Parastagonospora nodorum is an economically important necrotrophic fungal pathogen of wheat. During infection, P. nodorum uses effector proteins to target sensitivity gene products in wheat. This process, known as necrotrophic effector-triggered susceptibility, results in plant cell death and disease. This project aims to investigate the structural basis of necrotrophic effector-triggered susceptibility in the P. nodorum – wheat pathosystem.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100096
Funder
Australian Research Council
Funding Amount
$180,000.00
Summary
Biomolecular Interaction Facility. Biomolecular interaction facility: A biomolecular interaction facility located in Perth is essential to support the research performed by a growing community of key protein researchers. The infrastructure provided by this integrated facility will act as a hub for analysis of samples produced by high-throughput protein production methods and will provide high-level training with cutting-edge equipment for researchers at all levels. It will underpin faster and be ....Biomolecular Interaction Facility. Biomolecular interaction facility: A biomolecular interaction facility located in Perth is essential to support the research performed by a growing community of key protein researchers. The infrastructure provided by this integrated facility will act as a hub for analysis of samples produced by high-throughput protein production methods and will provide high-level training with cutting-edge equipment for researchers at all levels. It will underpin faster and better fundamental and translational research in the areas of structural biology, biotechnology, biomedical science, plant science and nanotechnology, supporting the activities of researchers and their collaborators in Australia and worldwide.Read moreRead less
Big data modelling to forecast crop yield to enable precision fertilisation. This project aims to lay a foundation for a generic data-driven approach to more precise management of our agricultural landscapes. A multitude of agriculture-related data streams are now available to growers to characterise their yield, management, soil and weather. However, currently there is no approach able to digest all these disparate data streams to enable a management decision. The project will develop an appro ....Big data modelling to forecast crop yield to enable precision fertilisation. This project aims to lay a foundation for a generic data-driven approach to more precise management of our agricultural landscapes. A multitude of agriculture-related data streams are now available to growers to characterise their yield, management, soil and weather. However, currently there is no approach able to digest all these disparate data streams to enable a management decision. The project will develop an approach to harness all of these data streams to guide spatially variable applications of nitrogen fertilisers with a focus on grains cropping. This should provide the opportunity to allocate fertiliser inputs as required at fine spatial scales according to local soil and weather conditions to maximise profit and minimise off-farm impacts of excessive fertilisation.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100092
Funder
Australian Research Council
Funding Amount
$240,000.00
Summary
A high-throughput protein production and structure facility. Making proteins and studying their structures and properties is a key activity in biotechnology, drug design, food security and bio-nanotechnology. The Protein Production and Structure Facility will provide Western Australian researchers and their international partners with world-class resources to pursue this research for the benefit of all Australians.
Understanding the molecular basis of fungal rust diseases in plants. This project aims to utilise structural biology, biochemistry and molecular biology approaches to substantially deepen our understanding of rust fungi-plant interactions. Fungal rust pathogens cause disease and significant yield losses in our most important food crops. During colonisation, rust fungi utilise secreted effector proteins to cause plant disease. Effectors can also be recognised by plant immunity receptors, leading ....Understanding the molecular basis of fungal rust diseases in plants. This project aims to utilise structural biology, biochemistry and molecular biology approaches to substantially deepen our understanding of rust fungi-plant interactions. Fungal rust pathogens cause disease and significant yield losses in our most important food crops. During colonisation, rust fungi utilise secreted effector proteins to cause plant disease. Effectors can also be recognised by plant immunity receptors, leading to resistance. The intended outcome of this work is to generate knowledge that can be used for the development of disease management and engineering strategies to protect plants from rust fungi. This should provide significant benefits to agricultural productivity and global food security.Read moreRead less
Co-variant analysis and statistical modelling for improved crop yield. This project plans to develop mathematical tools that will help to identify cereal plant varieties with the highest yield. This is a critical responsibility of plant breeders and many Australian breeders acquire and store important information related to the issue. However, there are as yet no mathematical tools that are able to co-analyse the heterogeneous and high-dimensional data in order to understand how external and int ....Co-variant analysis and statistical modelling for improved crop yield. This project plans to develop mathematical tools that will help to identify cereal plant varieties with the highest yield. This is a critical responsibility of plant breeders and many Australian breeders acquire and store important information related to the issue. However, there are as yet no mathematical tools that are able to co-analyse the heterogeneous and high-dimensional data in order to understand how external and internal factors correlate with the major growth and development stages at the crop level. This project seeks to develop and implement mathematical and statistical tools to analyse genetic, agronomic and phenomic factors that affect plant performance, to deliver advanced yield prediction.Read moreRead less
Enhancing stress tolerance in plants by manipulation of properties of stress responsive transcription factors. This project will describe structural and functional properties of cereal transcription factors that are critical to plant development under hostile environmental conditions. The knowledge of the revealed molecular mechanisms of transcription factors will open avenues to developments of improved crop plants.
Discovery Early Career Researcher Award - Grant ID: DE210100323
Funder
Australian Research Council
Funding Amount
$431,000.00
Summary
Synthetic biology to engineer novel disease resistance in cereal crops. This project aims to engineer disease resistance in crops to dangerous fungal pathogens. The strategy is to exploit our knowledge of the plant immune system using structural biology and directed evolution of natural resistance genes, improving their ability to recognise and respond to fungal attack. Fungal pathogens cause some of the most harmful crop diseases in Australia and worldwide. The rapid evolution of fungi overcome ....Synthetic biology to engineer novel disease resistance in cereal crops. This project aims to engineer disease resistance in crops to dangerous fungal pathogens. The strategy is to exploit our knowledge of the plant immune system using structural biology and directed evolution of natural resistance genes, improving their ability to recognise and respond to fungal attack. Fungal pathogens cause some of the most harmful crop diseases in Australia and worldwide. The rapid evolution of fungi overcomes natural plant resistance and management of these diseases is a major challenge to agriculture. Expected outcomes of the project include engineered wheat plants with more effective disease resistance, reducing fungicide usage. This project intends to accelerate crop breeding and contribute to world food security.Read moreRead less
FastStack - evolutionary computing to stack desirable alleles in wheat. This project aims to investigate rapid development of new, high-yielding wheat varieties with appropriate disease resistance. An emerging challenge in wheat breeding is how to stack desirable alleles for disease resistance, drought, and end-use quality into new varieties with high yielding backgrounds in the shortest time. As the number of known desirable alleles for these traits increases, the number of possible crossing c ....FastStack - evolutionary computing to stack desirable alleles in wheat. This project aims to investigate rapid development of new, high-yielding wheat varieties with appropriate disease resistance. An emerging challenge in wheat breeding is how to stack desirable alleles for disease resistance, drought, and end-use quality into new varieties with high yielding backgrounds in the shortest time. As the number of known desirable alleles for these traits increases, the number of possible crossing combinations that need to be considered increases. This project aims to use evolutionary computing with speed breeding and genomic selection, in the partners breeding program, to address this challenge. Potential outcomes will lead to more profitable wheat varieties for Australian growers, and expanded exports to high value markets that require quality grain.Read moreRead less