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
Mathematical models of diseases with complex transmission routes. This project aims to model diseases that spread via a mixture of routes including food, water, the environment, and direct spread between individuals. Key diseases include: avian influenza, which causes massive disruption to the poultry industry; gastroenteritis, which costs Australia $1,250 million each year; and leptospirosis, which causes one million severe illnesses each year globally. This project will develop mathematical a ....Mathematical models of diseases with complex transmission routes. This project aims to model diseases that spread via a mixture of routes including food, water, the environment, and direct spread between individuals. Key diseases include: avian influenza, which causes massive disruption to the poultry industry; gastroenteritis, which costs Australia $1,250 million each year; and leptospirosis, which causes one million severe illnesses each year globally. This project will develop mathematical and statistical tools to better estimate risk, analyse outbreak data, and provide guidance for disease control. This research will improve policy and enhance our ability to respond to disease outbreaks.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
Estimating the potential supply of environmental services by landholders. Wilderness, natural habitats, biodiversity and other aspects of natural capital and their associated ecosystem services are in decline. Increasing scarcity is driving a surge in interest in these services and their value. It potentially provides opportunities for landholders to be generating income from environmental services provision, and lessens dependency on livestock, crop and fibre production. But how realistic are t ....Estimating the potential supply of environmental services by landholders. Wilderness, natural habitats, biodiversity and other aspects of natural capital and their associated ecosystem services are in decline. Increasing scarcity is driving a surge in interest in these services and their value. It potentially provides opportunities for landholders to be generating income from environmental services provision, and lessens dependency on livestock, crop and fibre production. But how realistic are these prospects? A critical aspect of potential markets for environmental services is their supply. This project examines the supply side of environmental services by exploring determinants of ability and willingness of landholders to provide these services.Read moreRead less
CropVision: A next-generation system for predicting crop production. Accurate and timely production estimates are essential to Australia’s grain producers and industry to better deal with down side risk caused by climate extremes and market volatilities. However, current systems for predicting crop production are inaccurate and unreliable. This project aims to develop a next generation system for advance and high accuracy predictions for yield, crop type and area at field scale. This will be don ....CropVision: A next-generation system for predicting crop production. Accurate and timely production estimates are essential to Australia’s grain producers and industry to better deal with down side risk caused by climate extremes and market volatilities. However, current systems for predicting crop production are inaccurate and unreliable. This project aims to develop a next generation system for advance and high accuracy predictions for yield, crop type and area at field scale. This will be done by integrating the state of the art global climate models (GCM), biophysical crop modelling, and high-resolution earth observation technologies. This project will deliver a next generation crop prediction system to predict crop production at field scale for improved decision-making and enhancing resilience.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100854
Funder
Australian Research Council
Funding Amount
$461,249.00
Summary
Model-directed bioengineering strategy for accelerating crop improvement. The aim is to use an advanced mechanistic crop model to investigate the interacting plant physiological processes that define yield consequences, using a sorghum model. This will involve unravelling the complex relationship between leaf gas exchange properties and crop field performance. Through a unique combination of model prediction and gene editing to target the photosynthetic pathway and stomata, the research is expec ....Model-directed bioengineering strategy for accelerating crop improvement. The aim is to use an advanced mechanistic crop model to investigate the interacting plant physiological processes that define yield consequences, using a sorghum model. This will involve unravelling the complex relationship between leaf gas exchange properties and crop field performance. Through a unique combination of model prediction and gene editing to target the photosynthetic pathway and stomata, the research is expected to gain a deep mechanistic understanding of the underpinning processes and drive the transfer of promising bioengineering targets into crops. The research is expected to discover new avenues for crop improvement, and significantly benefit crop breeding and food production capacity.Read moreRead less
Development of a pre-production prototype for a laser-based plant sensing weed control system. Australian farmers spend over $800 million per annum on herbicides. The proposed technology can reduce herbicide usage by 80 per cent (i.e. over $640 million per annum saving) and improve crop yields by 30 per cent. Precision application of herbicides, fertilisers and nutrients to weeds and crops has both economic and environmental benefits which will increase farm profits and boost Australia's export ....Development of a pre-production prototype for a laser-based plant sensing weed control system. Australian farmers spend over $800 million per annum on herbicides. The proposed technology can reduce herbicide usage by 80 per cent (i.e. over $640 million per annum saving) and improve crop yields by 30 per cent. Precision application of herbicides, fertilisers and nutrients to weeds and crops has both economic and environmental benefits which will increase farm profits and boost Australia's export sales. Reduced chemical loads on ecosystems will benefit the environment and reduced chemicals in the food chain will benefit the health of Australians. This development will put Australia at the cutting edge of precision spray technology and has numerous spin-off applications in many sectors.Read moreRead less