Improving dairy cow fertility: targeting exosome-responsive cell pathways. . This project aims to assist the dairy industry to achieve its goal of increasing the six-week in-calf pregnancy rate in dairy cows by at least 10 per cent within five years via the identification of circulating exosomal biomarkers of improved fertility that will be used to develop superior breeding stock to deliver higher industry productivity. The impact of novel biomarkers will permit the Australian and New Zealand da ....Improving dairy cow fertility: targeting exosome-responsive cell pathways. . This project aims to assist the dairy industry to achieve its goal of increasing the six-week in-calf pregnancy rate in dairy cows by at least 10 per cent within five years via the identification of circulating exosomal biomarkers of improved fertility that will be used to develop superior breeding stock to deliver higher industry productivity. The impact of novel biomarkers will permit the Australian and New Zealand dairy industries to meet their targets and provide economic benefit to the respective industries, whilst ensuring availability of low cost milk to Australian citizens.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less
Plant based foods: Towards sustainable and acceptable meat analogues. The project aims to address the need for engineering plant-based food products to deliver a sensory experience akin to meat. The project expects to generate new knowledge on the structural drivers for emulating meat-like texture and taste within burger products. Expected outcomes of this project include new ingredients and food characterisation methodologies, including rheology and sensory, which can be employed in rational ....Plant based foods: Towards sustainable and acceptable meat analogues. The project aims to address the need for engineering plant-based food products to deliver a sensory experience akin to meat. The project expects to generate new knowledge on the structural drivers for emulating meat-like texture and taste within burger products. Expected outcomes of this project include new ingredients and food characterisation methodologies, including rheology and sensory, which can be employed in rational food structure design. This should provide significant benefits in enhancing the consumer acceptance of plant-based foods that is required to support the rapidly growing market opportunity for them and sustainable food production.Read moreRead less
Intelligent bioprocessing for next-generation nutritional yeast extracts. This project aims to provide new, science-based levers for optimising the industrial production of tailormade yeast extracts for food applications. Advanced biochemical and engineering methods will be used to develop new knowledge of the links between yeast growth conditions, cell biochemistry, processing and the flavour and texture profiles of yeast hydrolysates. This understanding will allow the properties of yeast hydro ....Intelligent bioprocessing for next-generation nutritional yeast extracts. This project aims to provide new, science-based levers for optimising the industrial production of tailormade yeast extracts for food applications. Advanced biochemical and engineering methods will be used to develop new knowledge of the links between yeast growth conditions, cell biochemistry, processing and the flavour and texture profiles of yeast hydrolysates. This understanding will allow the properties of yeast hydrolysates to be accurately tuned during yeast production and processing. The resulting process improvements and innovations will increase the efficiency and quality of current yeast extract products and allow the development of new food products.Read moreRead less
Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un ....Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.Read moreRead less
Novel Multilevel Modelling Framework to Design Advanced Food Drying Process. In this project, a novel multilevel modelling framework for food drying will be developed by integrating the micro, macro, and dryer scale transport process and considering the dynamic changes in the drying environment under the intermittent application of microwave energy (IMCD). This modelling framework will be the first comprehensive scientific tool for industry for developing next-generation food drying systems, whi ....Novel Multilevel Modelling Framework to Design Advanced Food Drying Process. In this project, a novel multilevel modelling framework for food drying will be developed by integrating the micro, macro, and dryer scale transport process and considering the dynamic changes in the drying environment under the intermittent application of microwave energy (IMCD). This modelling framework will be the first comprehensive scientific tool for industry for developing next-generation food drying systems, which are expected to deliver significant improvement in energy efficiency and product quality and reduction in drying time and food waste. Finally, based on the outcomes of the modelling framework, a smart IMCD drying system will be developed to demonstrate the feasibility of the framework in industry application.Read moreRead less
A Concurrent Multiscale Model for Improved Prediction of Drying Process. This project aims to develop an innovative multiscale model for food drying, which integrates spatial and temporal nonlinear behaviours at different scales. The proposed unifying theory will capture dynamic micro level features and upscale them to macro level features through a concurrent bridging scheme. As cellular elements critically govern the drying process, the fundamental understanding captured through this theory wi ....A Concurrent Multiscale Model for Improved Prediction of Drying Process. This project aims to develop an innovative multiscale model for food drying, which integrates spatial and temporal nonlinear behaviours at different scales. The proposed unifying theory will capture dynamic micro level features and upscale them to macro level features through a concurrent bridging scheme. As cellular elements critically govern the drying process, the fundamental understanding captured through this theory will lead to more accurate prediction of drying kinetics, deformation and quality changes, and hence the development of efficient drying systems. This project will overcome a longstanding research problem and position Australia at the forefront in world drying research to reap substantial economic benefits for Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100135
Funder
Australian Research Council
Funding Amount
$450,853.00
Summary
Regulating the Future of Protein . Australia needs to produce more protein, sustainably into the future. This project aims to determine how this can be achieved by developing optimal ways of regulating alternative proteins. Alternative proteins imitate meat and dairy but are often made using new technologies. This project combines an innovative mix of empirical and legal analysis to understand the full range of expectations, opportunities and risks regarding alternative proteins and their regul ....Regulating the Future of Protein . Australia needs to produce more protein, sustainably into the future. This project aims to determine how this can be achieved by developing optimal ways of regulating alternative proteins. Alternative proteins imitate meat and dairy but are often made using new technologies. This project combines an innovative mix of empirical and legal analysis to understand the full range of expectations, opportunities and risks regarding alternative proteins and their regulation. It uses this new knowledge to determine how to regulate for healthy, sustainable and prosperous future food systems. Expected outcomes include a new approach to regulating food and the creation of new pathways for stakeholder engagement in regulation for better food futures. Read moreRead less
Agave; a new Australian crop with a resilient spirit. This project aims to set the foundations to establish Agave as a sustainable, versatile and climate-proof Australian crop, supporting production of a new high value spirit for domestic and global markets. Outcomes will include novel cultivation and sensor technology for agave harvest at the "sweet spot" and advanced spirit assessment technologies allied with consumer sensory testing. Product character and consistency will be optimised by holi ....Agave; a new Australian crop with a resilient spirit. This project aims to set the foundations to establish Agave as a sustainable, versatile and climate-proof Australian crop, supporting production of a new high value spirit for domestic and global markets. Outcomes will include novel cultivation and sensor technology for agave harvest at the "sweet spot" and advanced spirit assessment technologies allied with consumer sensory testing. Product character and consistency will be optimised by holistic integration and control of the production chain, encompassing plant growth, input materials, and fermentation and distillation steps for a complete plant to bottle pipeline. Read moreRead less