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Current Selection
Status : Active
Australian State/Territory : WA
Research Topic : SHEEP
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP210200707

    Funder
    Australian Research Council
    Funding Amount
    $782,714.00
    Summary
    Novel semio-chemical approach to control the Australian Sheep Blowfly . The Australian Federal Government through the 'Smart Farming' initiative highlights the need for improved multidisciplinary measures in order to remain at the global forefront of the invention and adoption of technology. This multidisciplinary project (entomology, biotechnology, analytical chemistry and genomics) will rapidly inform the management of fly strike on an important Australian resource merino sheep. This will bui .... Novel semio-chemical approach to control the Australian Sheep Blowfly . The Australian Federal Government through the 'Smart Farming' initiative highlights the need for improved multidisciplinary measures in order to remain at the global forefront of the invention and adoption of technology. This multidisciplinary project (entomology, biotechnology, analytical chemistry and genomics) will rapidly inform the management of fly strike on an important Australian resource merino sheep. This will build the key biochemical data in order to develop a novel fly lure technology (at scale) to be used on farm delivering national benefit through improved animal welfare and safety considerations for producers, and will establish the best approach to disseminate this scientific information to stakeholders such as farmers.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200102961

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    TSuNAMi: Time Series Network Animal Modelling. Our proposal is motivated by and based upon the successful representation of time series as a network (or graph). We construct an abstract representation of a system from measurements of its changing behaviour over time. Properties of that structure (the network) then allow us to infer diagnostic information of the system. Specifically, we propose to apply this to livestock welfare during transport. By measuring the biological and environment condi .... TSuNAMi: Time Series Network Animal Modelling. Our proposal is motivated by and based upon the successful representation of time series as a network (or graph). We construct an abstract representation of a system from measurements of its changing behaviour over time. Properties of that structure (the network) then allow us to infer diagnostic information of the system. Specifically, we propose to apply this to livestock welfare during transport. By measuring the biological and environment condition of the animal we construct a network representation of that system. Geometric features of that network can then be used to infer health or duress of the subject. This proposal will develop the generic mathematical machinery to connect geometric features of the network with system behaviour.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP210100451

    Funder
    Australian Research Council
    Funding Amount
    $957,679.00
    Summary
    Engineering safer pastures for livestock. This project aims to develop subterranean clover with elevated condensed tannins in leaves. This important pasture legume is currently a bloat risk for cattle and sheep due to low condensed tannins and high soluble proteins. Bloat is a health issue that costs the Australian and New Zealand livestock industries over $200 million per annum. Condensed tannins can reduce bloat, decrease methane production and improve efficiency of production. A novel approac .... Engineering safer pastures for livestock. This project aims to develop subterranean clover with elevated condensed tannins in leaves. This important pasture legume is currently a bloat risk for cattle and sheep due to low condensed tannins and high soluble proteins. Bloat is a health issue that costs the Australian and New Zealand livestock industries over $200 million per annum. Condensed tannins can reduce bloat, decrease methane production and improve efficiency of production. A novel approach using CRISPR and other innovative molecular techniques will generate breeding lines high in condensed tannins and deliver knowledge applicable to other pasture legumes. Expected outcomes for livestock producers include improved animal welfare, reduced carbon emissions and enhanced profits.
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    Showing 1-3 of 3 Funded Activites

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