Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable mode ....Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable modelled small-area estimates to be released without compromising confidentiality. The expected outcomes include new statistical knowledge and new insights into cancer. The results will benefit the many disciplines, managers and policy makers that make decisions based on geographic data mapped over space and time. Read moreRead less
Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant be ....Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant benefits such as the development of new econometric theory, advanced computational methods and evidence-based guidelines for policymakers.Read moreRead less
Resolving the Genetics of Grain Pigmentation Traits in Rice . New critical knowledge will enable future breeding of quality black rice cultivars that can exploit the high UV Australian growing environment to enable domestic production of high-value, healthy black rice. The demand for functional foods with health benefits, including black rice, is increasing both domestically and internationally. The concentration of key functional compounds in black rice may be increased by growing optimised cul ....Resolving the Genetics of Grain Pigmentation Traits in Rice . New critical knowledge will enable future breeding of quality black rice cultivars that can exploit the high UV Australian growing environment to enable domestic production of high-value, healthy black rice. The demand for functional foods with health benefits, including black rice, is increasing both domestically and internationally. The concentration of key functional compounds in black rice may be increased by growing optimised cultivars under high-UV radiation, making Australia well placed to produce the highest quality black rice. Utilising a unique genetic resource this project will resolve how the interaction between crop genetics and the growing environment drives the concentration of functional compounds in black rice. 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
Will genetic rescue save the Tasmanian devil? This project aims to measure the long-term genetic impacts of the Save the Tasmanian Devil Program’s ‘Wild Devil Recovery’ initiative. The project will determine whether supplementing small populations with individuals that are genetically diverse reduces inbreeding depression. The project will also monitor the impact of supplementation on the evolutionary trajectory of Devil Facial Tumour Disease. The project will train a cohort of conservation scie ....Will genetic rescue save the Tasmanian devil? This project aims to measure the long-term genetic impacts of the Save the Tasmanian Devil Program’s ‘Wild Devil Recovery’ initiative. The project will determine whether supplementing small populations with individuals that are genetically diverse reduces inbreeding depression. The project will also monitor the impact of supplementation on the evolutionary trajectory of Devil Facial Tumour Disease. The project will train a cohort of conservation scientists to translate genetic data into management actions. The outputs will directly inform the management actions of the Tasmanian Department of Primary Industries Parks, Water and the Environment and will help shape other species recovery programs.Read moreRead less
Unlocking the genetic and biochemical potential of kangaroo paws. Using cutting-edge gene technology and an interdisciplinary approach, this project aims to uncover the genes responsible for flower colour in the iconic kangaroo paws of Western Australia, and identify the compounds that produce the colours. The project expects to produce the first entire kangaroo paw genome and identify unique genetic variants and biochemicals underlying colour differences. This new knowledge should help horticul ....Unlocking the genetic and biochemical potential of kangaroo paws. Using cutting-edge gene technology and an interdisciplinary approach, this project aims to uncover the genes responsible for flower colour in the iconic kangaroo paws of Western Australia, and identify the compounds that produce the colours. The project expects to produce the first entire kangaroo paw genome and identify unique genetic variants and biochemicals underlying colour differences. This new knowledge should help horticultural programs to more easily breed varieties with desirable and highly marketable new colours, and could assist in conserving these amazing Australian plants.Read moreRead less
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
Adapting sorghum crops for global climate futures. This project aims to identify key genes associated with heat stress tolerance by unlocking available genetic variation in sorghum. Drawing on crop physiology, genetics, molecular biology and integrated systems modelling, the project will develop important insights into the basis of thermostability. A predictive capability will be developed to identify new genomic combinations having superior heat stability. More heat tolerant sorghum cultivars s ....Adapting sorghum crops for global climate futures. This project aims to identify key genes associated with heat stress tolerance by unlocking available genetic variation in sorghum. Drawing on crop physiology, genetics, molecular biology and integrated systems modelling, the project will develop important insights into the basis of thermostability. A predictive capability will be developed to identify new genomic combinations having superior heat stability. More heat tolerant sorghum cultivars should deliver enhanced resilience in cropping and deliver more stable profitability for farmers and reduced food security risk.Read moreRead less
A Memory Powered Engine. Classical heat engines, such as petrol motors, convert thermal energy from hot gases into useful work, but with limited efficiency as much of the thermal energy is lost as waste heat. The project aims to combine experimental techniques in quantum information processing with recent theoretical developments in quantum thermodynamics to demonstrate a proof-of-concept heat engine that converts thermal energy into work with 100% efficiency. A heat engine of this kind would pr ....A Memory Powered Engine. Classical heat engines, such as petrol motors, convert thermal energy from hot gases into useful work, but with limited efficiency as much of the thermal energy is lost as waste heat. The project aims to combine experimental techniques in quantum information processing with recent theoretical developments in quantum thermodynamics to demonstrate a proof-of-concept heat engine that converts thermal energy into work with 100% efficiency. A heat engine of this kind would provide significant benefits to Australia with its potential to revolutionise how we store and use energy. The project will enable Griffith University to continue its pioneering role in developing this technology and to maintain long-term international collaborations.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