Industrial Transformation Training Centres - Grant ID: IC230100016
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre in Predictive Breeding for Agricultural Futures. This Centre aims to develop the advanced capacity needed to secure Australia’s food and fibre production and export value into the future. Leveraging immense industry support, the Centre expects to develop and integrate cutting-edge plant and animal breeding technologies and deliver world-class training that addresses critical demand for highly skilled industry leaders. Expected outcomes include a future-ready predictive breedi ....ARC Training Centre in Predictive Breeding for Agricultural Futures. This Centre aims to develop the advanced capacity needed to secure Australia’s food and fibre production and export value into the future. Leveraging immense industry support, the Centre expects to develop and integrate cutting-edge plant and animal breeding technologies and deliver world-class training that addresses critical demand for highly skilled industry leaders. Expected outcomes include a future-ready predictive breeding industry able to transform data into optimised decisions, and the human capacity to drive it. This should provide significant benefits to enhance the sustainability and profitability of all major Australian agriculture sectors, including livestock, grains, horticulture, cotton, wine, dairy, forestry and fisheries.Read moreRead less
Role of alanine aminotransferase in improved nitrogen use efficiency (NUE) in cereals. The use of nitrogen-based fertilisers by crop plants is poor where efficiencies (nitrogen taken up to that applied) is often less than 40%. Nitrogen not used is often lost to the environment through leaching and or volatilisation. Improving nitrogen use efficiency (NUE) in agriculture will decrease overall nitrogen fertiliser use and minimise its environmental footprint. This project will characterise a nov ....Role of alanine aminotransferase in improved nitrogen use efficiency (NUE) in cereals. The use of nitrogen-based fertilisers by crop plants is poor where efficiencies (nitrogen taken up to that applied) is often less than 40%. Nitrogen not used is often lost to the environment through leaching and or volatilisation. Improving nitrogen use efficiency (NUE) in agriculture will decrease overall nitrogen fertiliser use and minimise its environmental footprint. This project will characterise a novel NUE technology that when transferred to plants significantly improves NUE. We will define the phenotype at the molecular, biochemical and physiological levels to maximise its adoption to other agricultural crops such as wheat, barley and maize.Read moreRead less
Improving water quality modelling by better understanding solute transport. Poor stream water quality is a critical problem in Australia and globally. Stream water quality depends directly on pathways and time taken for water to transport pollutants through catchments. Predicting these pathways is highly challenging and currently requires specialised data. This project aims to better model the movement of water from rainfall to streams, enable greatly improved use of water quality data routinely ....Improving water quality modelling by better understanding solute transport. Poor stream water quality is a critical problem in Australia and globally. Stream water quality depends directly on pathways and time taken for water to transport pollutants through catchments. Predicting these pathways is highly challenging and currently requires specialised data. This project aims to better model the movement of water from rainfall to streams, enable greatly improved use of water quality data routinely collected in Australia's catchments and thereby better predict water quality behaviour. Proposed field studies aim to support this development. The outcomes sought are improved planning and management of water quality in our rivers, lakes and estuaries, improved health of these water bodies and improved water supplies.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH230100006
Funder
Australian Research Council
Funding Amount
$4,933,330.00
Summary
ARC Research Hub for Engineering Plants to Replace Fossil Carbon . This Hub aims to develop new plant varieties that enable sustainable production of sugars from crop ‘waste’ (plant biomass) as a base for renewable carbon products. Only now possible through emerging technologies, the Hub expects to translate extensive foundational research and world-leading expertise into cost-effective sustainable aviation fuel. Anticipated outcomes include diversified cropping opportunities for agricultural pr ....ARC Research Hub for Engineering Plants to Replace Fossil Carbon . This Hub aims to develop new plant varieties that enable sustainable production of sugars from crop ‘waste’ (plant biomass) as a base for renewable carbon products. Only now possible through emerging technologies, the Hub expects to translate extensive foundational research and world-leading expertise into cost-effective sustainable aviation fuel. Anticipated outcomes include diversified cropping opportunities for agricultural producers and new industries to convert the biomass to high-volume renewable products. The expected benefits include a decarbonised pathway for Australia’s critical flight, freight and defence connections to world and the substantial economic returns and job creation from new manufacturing capacity in Australia.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.
Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
New approach to sensitivity assessment of complex simulation models for environmental management. The aims are (1) to develop new techniques that improve and extend the capabilities of sensitivity analysis of large and complex computer models for environmental management; and (2) with the industry partners, to test these techniques on models for salinity management in the Murray-Darling Basin. The project's significance is in providing new techniques able to answer a range of model users? questi ....New approach to sensitivity assessment of complex simulation models for environmental management. The aims are (1) to develop new techniques that improve and extend the capabilities of sensitivity analysis of large and complex computer models for environmental management; and (2) with the industry partners, to test these techniques on models for salinity management in the Murray-Darling Basin. The project's significance is in providing new techniques able to answer a range of model users? questions at acceptable computational cost, for complex models with outputs measured in a wide variety of ways. The outcomes will be new sensitivity assessment tools and experience of their use in an environmental application of great importance to Australia.Read moreRead less