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Early Career Industry Fellowships - Grant ID: IE230100464
Funder
Australian Research Council
Funding Amount
$467,577.00
Summary
A genomic toolkit to future-proof the seaweed industry. This project will combine genomics, artificial intelligence and experimental ecology to develop guidelines and technologies that maximise the growth and resilience of key seaweed species for aquaculture. Industrial seaweed production is growing rapidly and is expected to supply 1000s of jobs to regional Australia and 10% to the nation’s emissions reduction target by 2040. Expected outcomes of this project include a genomics-based regulatory ....A genomic toolkit to future-proof the seaweed industry. This project will combine genomics, artificial intelligence and experimental ecology to develop guidelines and technologies that maximise the growth and resilience of key seaweed species for aquaculture. Industrial seaweed production is growing rapidly and is expected to supply 1000s of jobs to regional Australia and 10% to the nation’s emissions reduction target by 2040. Expected outcomes of this project include a genomics-based regulatory framework and hatchery tools that support rapid industry growth and minimise biosecurity and climate change risks. This will benefit government, aquaculture, and ecosystem management by improving design, assessment and implementation options for sustainable and productive use of Australian seaweeds.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100435
Funder
Australian Research Council
Funding Amount
$431,000.00
Summary
Customising weather index insurance for agribusiness using machine learning. This project aims to customise weather index insurance (WII) by utilising machine learning techniques. WII is used as a type of risk management tool in the agriculture sector to transfer risk due to extreme weather events. Significantly this project expects to establish an accurate correlation between insurance payouts and actual losses and thus improve the WII uptake rate. This will effectively support farmers and agri ....Customising weather index insurance for agribusiness using machine learning. This project aims to customise weather index insurance (WII) by utilising machine learning techniques. WII is used as a type of risk management tool in the agriculture sector to transfer risk due to extreme weather events. Significantly this project expects to establish an accurate correlation between insurance payouts and actual losses and thus improve the WII uptake rate. This will effectively support farmers and agribusinesses in Australia to mitigate and adapt to climate change, help reduce the impact of climate change and ensure crop production and food security.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100179
Funder
Australian Research Council
Funding Amount
$457,906.00
Summary
Drought tolerance in sorghum: the roots of the solution. This project aims to develop an efficient, cost-effective sensing platform for visualising sorghum root systems in the field. Through innovative use of above and below ground sensing technologies, this project expects to generate new knowledge on the association between root structure and improved yield stability under drought stress. Expected outcomes include improved capacity for sorghum breeders and new digital agriculture products and ....Drought tolerance in sorghum: the roots of the solution. This project aims to develop an efficient, cost-effective sensing platform for visualising sorghum root systems in the field. Through innovative use of above and below ground sensing technologies, this project expects to generate new knowledge on the association between root structure and improved yield stability under drought stress. Expected outcomes include improved capacity for sorghum breeders and new digital agriculture products and services to support the industry more broadly. Given that sorghum is the main summer cereal grown in Australia, this should provide significant benefits, such as improved productivity and profitability for the Australian agriculture sector. Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100040
Funder
Australian Research Council
Funding Amount
$447,127.00
Summary
Unravelling the genetics of Kangaroo paws for climate-resilient gardens. The project will produce the first DNA-anchored plant lineage map of Kangaroo paws and gain novel insights into their resilient growth characteristics. Using novel genome and data-driven strategies, this project addresses the knowledge gap around the genetic heirloom of more than 200 iconic Kangaroo paw varieties to speed up the breeding of new varieties with enticing leaf patterns and flower colour combinations. While unra ....Unravelling the genetics of Kangaroo paws for climate-resilient gardens. The project will produce the first DNA-anchored plant lineage map of Kangaroo paws and gain novel insights into their resilient growth characteristics. Using novel genome and data-driven strategies, this project addresses the knowledge gap around the genetic heirloom of more than 200 iconic Kangaroo paw varieties to speed up the breeding of new varieties with enticing leaf patterns and flower colour combinations. While unravelling the inheritability and breeding barriers, immediate industry adoption will boost horticultural breeding programs long-term. This project uses cutting-edge science to enhance industry capacity for providing new Kangaroo paws for climate-resilient urban green spaces on the national and international market.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100422
Funder
Australian Research Council
Funding Amount
$386,637.00
Summary
Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field work ....Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field works to develop and validate a new feasible quantification method. This project will also advance knowledge on GHG emissions to guide quantification design. The outcomes will be translated into industry protocols and disseminated into industry. The outcomes provide timely support to water sector on its pathway to net-zero.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100103
Funder
Australian Research Council
Funding Amount
$476,833.00
Summary
Improving efficacy of biopesticides through understanding mode of action. Insecticides are used extensively to control agricultural pests, but options are increasingly limited owing to environmental and human health concerns. A biopesticide, Bt, provides a valuable ‘soft’ option for control of caterpillars that are amongst the world's most damaging insect pests. However, little is known about how ingested Bt kills insects and this knowledge gap constrains options to improve efficacy and to count ....Improving efficacy of biopesticides through understanding mode of action. Insecticides are used extensively to control agricultural pests, but options are increasingly limited owing to environmental and human health concerns. A biopesticide, Bt, provides a valuable ‘soft’ option for control of caterpillars that are amongst the world's most damaging insect pests. However, little is known about how ingested Bt kills insects and this knowledge gap constrains options to improve efficacy and to counter resistance. This project connects industry end users (Cotton RDC; Bayer CropScience) with research training (Macquarie University) and applied research (CSIRO) to model how Bt interacts with the insect gut. This model will make valuable contributions to ensuring sustained and improved efficacy of Bt biopesticides.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100263
Funder
Australian Research Council
Funding Amount
$477,037.00
Summary
Improve genomic testing tools for fertility traits in beef cattle. Fertility is a key driver of productivity and profitability for beef industry; however, a substantial industry challenge is poor fertility and the difficulty and expense of measuring fertility in remote Australia. By integrating multiple omics datasets and fifty thousand fertility phenotypes recorded on beef cattle, the project will identify sequence variation, including structural variants, that underpin genetic variation in cat ....Improve genomic testing tools for fertility traits in beef cattle. Fertility is a key driver of productivity and profitability for beef industry; however, a substantial industry challenge is poor fertility and the difficulty and expense of measuring fertility in remote Australia. By integrating multiple omics datasets and fifty thousand fertility phenotypes recorded on beef cattle, the project will identify sequence variation, including structural variants, that underpin genetic variation in cattle fertility. Our industry partner, which genotypes hundreds of thousands of cattle a year, will produce new genotype arrays and novel low-cost sequencing approaches including these variants, enabling selection that could potentially increase herd reproductive rate by 4%, returning $40M per annum to the farmers.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100578
Funder
Australian Research Council
Funding Amount
$355,208.00
Summary
Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and ar ....Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and artificial intelligence (AI) to improve the accuracy of satellite-based soil C modelling. The project will provide an accurate and cost-effective solution to quantification of soil C changes to unlock a large potential of carbon offsets in rangelands in Australia and worldwide.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100282
Funder
Australian Research Council
Funding Amount
$475,181.00
Summary
Delivering breeding-oriented genetic tools for cereal disease resistance. This project will focus specifically on delivering the genetic tools to the industry partner to assist its wheat and barley breeders to increase the accuracy and efficiency of incorporating the durable wheat stripe rust disease and barley leaf rust disease resistance into their core germplasm collections, respectively. The expected outcomes will also contribute to filling our knowledge gap in understanding the cereal rust ....Delivering breeding-oriented genetic tools for cereal disease resistance. This project will focus specifically on delivering the genetic tools to the industry partner to assist its wheat and barley breeders to increase the accuracy and efficiency of incorporating the durable wheat stripe rust disease and barley leaf rust disease resistance into their core germplasm collections, respectively. The expected outcomes will also contribute to filling our knowledge gap in understanding the cereal rust innate immune system and benefit other cereal fungal pathosystems. The wide application of the expected outcomes from the proposed project will reduce the utilisation of fungicides and subsequently will subsequently contribute to the resilience of cereal crops and sustainable global food security.Read moreRead less