Genomic strategies for reducing losses during processing and improving the nutritional value of wheat in human diets. Wheat breeding requires efficient tools to allow selection of varieties with both high grain yield and good functional and nutritional value. Whole genome analysis will be used to develop screening methods to deliver wheat varieties with novel processing and nutritional properties for human diets contributing to global food and nutritional security.
Transport systems that underpin nitrogen efficient maize. This project aims to define the nitrogen transport network involved in the uptake, storage and redistribution of inorganic nitrogen (nitrate and ammonium) over the developmental life cycle of maize. This information will provide novel insight into the genetic control of nitrogen use in maize and other cereal crops.
Functional network analysis of plant metabolism in response to salinity and temperature through targeted proteomics. This project will measure changes in plant metabolism and provide methods and a pipeline for quantification and modelling. It will assess nitrogen linked metabolism under environmental stress experienced in Australian wheat cropping systems and build fundamental knowledge of changes in networks of nitrogen metabolism in model plants.
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
Advanced plant breeding and food manufacturing for healthier bread. This project aims to generate bread containing high amounts of biologically available iron through targeted manipulation of plant-derived phytonutrients at several points along the wheat-to-bread supply chain. The project expects to generate new knowledge for developing healthier bread and address consumer demands for value-added food products. Anticipated outcomes are novel plant breeding and food manufacturing techniques that ....Advanced plant breeding and food manufacturing for healthier bread. This project aims to generate bread containing high amounts of biologically available iron through targeted manipulation of plant-derived phytonutrients at several points along the wheat-to-bread supply chain. The project expects to generate new knowledge for developing healthier bread and address consumer demands for value-added food products. Anticipated outcomes are novel plant breeding and food manufacturing techniques that enhance the nutritional composition of wheat grain and bread making products, resulting in higher-value agricultural commodities and breads. The project should benefit bread retailers and crop growers involved in Australia’s $4.7 billion bread market and reduce the environmental impacts of bread production.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
Digging deeper to improve yield stability. This project aims to provide innovative breeding solutions that harness the ‘hidden’ part of the plant, roots, to support the development of more productive crops in the face of climate variability. The project expects to generate new insights into the biology and genetics of root development in barley, a model cereal crop, by applying cutting-edge genome editing, phenotyping and genomics technologies. Anticipated outcomes include novel methodologies to ....Digging deeper to improve yield stability. This project aims to provide innovative breeding solutions that harness the ‘hidden’ part of the plant, roots, to support the development of more productive crops in the face of climate variability. The project expects to generate new insights into the biology and genetics of root development in barley, a model cereal crop, by applying cutting-edge genome editing, phenotyping and genomics technologies. Anticipated outcomes include novel methodologies to accelerate breeding for diverse production environments, with direct applications in barley, and other major cereals including wheat and oats. This should provide significant economic and social benefits to the Australian grains industry through yield stability amidst climate variability.Read moreRead less
Small molecules with large effect: The dual role of nitrogen-containing metabolites in stress tolerance and nutrient recycling. The main objective of this project is to identify drought and nutrient-deficiency responsive pathways in tolerant wheat and to provide markers to breeding programs that facilitate selection of superior breeding lines. This project builds on a pilot study conducted in rice in which tolerant-specific metabolites were identified which are representative of pathways relevan ....Small molecules with large effect: The dual role of nitrogen-containing metabolites in stress tolerance and nutrient recycling. The main objective of this project is to identify drought and nutrient-deficiency responsive pathways in tolerant wheat and to provide markers to breeding programs that facilitate selection of superior breeding lines. This project builds on a pilot study conducted in rice in which tolerant-specific metabolites were identified which are representative of pathways relevant for the protection of cells from damage through reactive oxygen species (ROS) and for nutrient (nitrogen, phosphorus, sugars) recycling under stress. Available data suggest that these pathways are also relevant in wheat. Quantitative metabolomics, genetics, and molecular tools will be used to deliver either DNA-based or metabolomics markers to breeders.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
Developing strong restorer-of-fertility genes for hybrid wheat breeding. Hybrid wheat varieties yield 10-15% more than conventional lines but a cost-effective system to produce hybrid seeds on a commercial scale is missing. This project aims to deliver such a system for use in hybrid wheat breeding programmes. The outcome will be ultimately higher wheat yield gains in Australia and worldwide. Higher and more stable yields will contribute to higher food security for the growing human population.