Discovery Early Career Researcher Award - Grant ID: DE170101296
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Accelerated genomic selection to speed up genetic gain in wheat. This project aims to design drought-resistant crops. Since the Green Revolution, rates of genetic gain for wheat yield have begun to plateau, while climate change threatens productivity and global food security. Numerous breeding technologies have emerged, including genomic selection, speed breeding, high-throughput phenotyping and crop modelling. This project will develop and validate crop improvement protocols by fusing these fou ....Accelerated genomic selection to speed up genetic gain in wheat. This project aims to design drought-resistant crops. Since the Green Revolution, rates of genetic gain for wheat yield have begun to plateau, while climate change threatens productivity and global food security. Numerous breeding technologies have emerged, including genomic selection, speed breeding, high-throughput phenotyping and crop modelling. This project will develop and validate crop improvement protocols by fusing these four technologies. More efficient breeding techniques could accelerate genetic gain in wheat beyond what is expected in ongoing breeding programs, and enable breeders to develop robust cereal varieties in the face of climate change.Read moreRead less
Breaking the nexus: more biomass in cereal grain. Grain yield is controlled by complex, regulated genetic networks or quantitative trait loci (QTLs) derived from natural variations in many crop plants. Yield is a product of the three major parameters: panicle number, grain number and grain size, trade-offs are commonly observed between grain number and size. There is evidence to suggest it is possible to improve grain size without altering overall biomass. With the genomic and genetic resource t ....Breaking the nexus: more biomass in cereal grain. Grain yield is controlled by complex, regulated genetic networks or quantitative trait loci (QTLs) derived from natural variations in many crop plants. Yield is a product of the three major parameters: panicle number, grain number and grain size, trade-offs are commonly observed between grain number and size. There is evidence to suggest it is possible to improve grain size without altering overall biomass. With the genomic and genetic resource tools at hand. This project will elucidate the genetic architecture of grain size, and manipulate the key loci to generate more biomass in the grain, minimising or eliminating the adverse impact on seed number. This will maximise harvestable yield without imposing increased demand for water and nutrients.Read moreRead less
Tailoring physiologically-based nanomaterial fertilisers for the biofortification of zinc in broadacre crops. Soil zinc deficiency is a global issue causing low crop yield and malnutrition. This project will develop a new class of fertiliser formulations by combining advanced chemistry techniques with plant physiology knowledge and nanomaterial manufacturing. These products will be designed for enhanced agronomic efficiency and environmental safety.
Discovery Early Career Researcher Award - Grant ID: DE210101407
Funder
Australian Research Council
Funding Amount
$447,524.00
Summary
Revealing and navigating a path to climate-ready crops. This project aims to investigate how well multi-dimensional biological and environmental data can be integrated to improve the prediction of plant performance under climatic fluctuations. This project expects to generate new knowledge in the area of quantitative genetics using an approach that combines trans-disciplinary research fields. Expected outcomes of this project include an example for how to advance conventional prediction methods ....Revealing and navigating a path to climate-ready crops. This project aims to investigate how well multi-dimensional biological and environmental data can be integrated to improve the prediction of plant performance under climatic fluctuations. This project expects to generate new knowledge in the area of quantitative genetics using an approach that combines trans-disciplinary research fields. Expected outcomes of this project include an example for how to advance conventional prediction methods using fundamental biological models that underlie plant growth. This will provide significant benefits, such as an enhancement of collaborative research across areas with the potential to significantly advance the general understanding of how plants interact with the environment.Read moreRead less
Robotics for zero-tillage agriculture. This project will develop small agricultural robots to increase broad-acre crop production and reduce environmental impact. These robots will have advanced navigation capability, will cooperate to cover large areas and resupply themselves, while causing less soil damage and applying herbicide more intelligently.
Plant cell wall - aluminium interactions: a role in aluminium stress. Soil acidity, resulting in Al toxicity, affects production on circa 50% of Australia's intensively used agricultural land, resulting in 8.5 times more foregone agricultural income than dryland salinity (National Land and Water Resources Audit, 2001). Often, remediation with lime is not possible or affordable. By understanding Al reactions with cell wall components, we aim to identify root parameters related to Al resistance by ....Plant cell wall - aluminium interactions: a role in aluminium stress. Soil acidity, resulting in Al toxicity, affects production on circa 50% of Australia's intensively used agricultural land, resulting in 8.5 times more foregone agricultural income than dryland salinity (National Land and Water Resources Audit, 2001). Often, remediation with lime is not possible or affordable. By understanding Al reactions with cell wall components, we aim to identify root parameters related to Al resistance by plants. These parameters will be useful as selection markers to identify and breed Al-tolerant crop genotypes. This, in turn, will improve yields and farm profitability, allowing farmers to use lime to prevent further acidification. This increases sustainability of cropping operations on the 50 Mha with acid soils.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
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
Improving crops from the ground up: genetic solutions to optimise roots. This project aims to develop future crops with optimised root systems by overcoming genetic constraints that currently restrict their potential. Exploiting advances in genomics, transcriptomics, epigenomics and genome editing, this project expects to advance understanding of the biology and genetic controls of root development and responses to concurrent stressors, including drought, nutrient deficiency and soil-borne disea ....Improving crops from the ground up: genetic solutions to optimise roots. This project aims to develop future crops with optimised root systems by overcoming genetic constraints that currently restrict their potential. Exploiting advances in genomics, transcriptomics, epigenomics and genome editing, this project expects to advance understanding of the biology and genetic controls of root development and responses to concurrent stressors, including drought, nutrient deficiency and soil-borne disease. It is anticipated that project outcomes will support the development of crops equipped with novel root traits, enhancing resource-use efficiency and yield stability amid climate variability. This globally relevant research is designed to benefit the sustainability and profitability of the Australian grains industry.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