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Current Selection
Status : Active
Research Topic : Animal Reproduction
Socio-Economic Objective : Beef Cattle
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Animal Production (2)
Animal production (2)
Animal reproduction and breeding (2)
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Animal Management (1)
Animal Protection (Pests and Pathogens) (1)
Animal protection (incl. pests and pathogens) (1)
Animal welfare (1)
Applied Mathematics (1)
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Beef Cattle (6)
Dairy Cattle (3)
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  • Researchers (26)
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  • Active Funded Activity

    ARC Future Fellowships - Grant ID: FT220100557

    Funder
    Australian Research Council
    Funding Amount
    $917,720.00
    Summary
    Improving the Sustainability of Australian Livestock Production Systems. The sustainability of livestock production systems must urgently be improved. This Future Fellowship builds upon Dr Zamira Gibb's portfolio of high-impact research to deliver extension and adoption activities which will improve the outcomes of cattle and horse selective breeding programs; allowing the dissemination of low-methane genetics to remote Northern Australian cattle breeding regions, reducing wastage of breeding ho .... Improving the Sustainability of Australian Livestock Production Systems. The sustainability of livestock production systems must urgently be improved. This Future Fellowship builds upon Dr Zamira Gibb's portfolio of high-impact research to deliver extension and adoption activities which will improve the outcomes of cattle and horse selective breeding programs; allowing the dissemination of low-methane genetics to remote Northern Australian cattle breeding regions, reducing wastage of breeding horses and dairy cattle, and improving foal heath and offspring longevity. This project will address the environmental, ethical, and economic concerns which threaten the sustainability of these culturally significant livestock industries which are the cornerstone of everyday life in regional communities.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230101352

    Funder
    Australian Research Council
    Funding Amount
    $541,818.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102455

    Funder
    Australian Research Council
    Funding Amount
    $472,000.00
    Summary
    Proteomic and genetic analysis of subfertile bull spermatozoa. This project aims to identify protein changes on spermatozoa that are highly correlated with the fertility status of bulls. Bull fertility has approached an all-time low as breeding practice has focused predominately on milk production and beef tenderness. This project aims to understand the genetic causes that underpin bull and cattle infertility, and investigate better methods to predict the fertility status of bulls. This project .... Proteomic and genetic analysis of subfertile bull spermatozoa. This project aims to identify protein changes on spermatozoa that are highly correlated with the fertility status of bulls. Bull fertility has approached an all-time low as breeding practice has focused predominately on milk production and beef tenderness. This project aims to understand the genetic causes that underpin bull and cattle infertility, and investigate better methods to predict the fertility status of bulls. This project expects to contribute to better clinical management of cattle. This information can then be used for the development of a better diagnostic assay for both the dairy and beef industry.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200102090

    Funder
    Australian Research Council
    Funding Amount
    $583,049.00
    Summary
    Harnessing innate immunity to mitigate bovine respiratory disease. Bovine Respiratory Disease (BRD) is the most significant health problem faced by the beef industry worldwide, causing economic losses of up to $40 million annually in Australia alone. This Project aims to assess an immunostimulant for its ability to induce resistance to infection with bovine respiratory viruses associated with BRD. The Project is expected to generate fundamental new knowledge in veterinary virology. Expected outc .... Harnessing innate immunity to mitigate bovine respiratory disease. Bovine Respiratory Disease (BRD) is the most significant health problem faced by the beef industry worldwide, causing economic losses of up to $40 million annually in Australia alone. This Project aims to assess an immunostimulant for its ability to induce resistance to infection with bovine respiratory viruses associated with BRD. The Project is expected to generate fundamental new knowledge in veterinary virology. Expected outcomes include scholarly publications. The Project will provide significant benefits, such as advances to fundamental knowledge, training of higher research degree students and proof-of-concept data to promote collaborations with commercial partners to develop novel treatment strategies to limit BRD.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230102313

    Funder
    Australian Research Council
    Funding Amount
    $602,170.00
    Summary
    A next-generation whole parasite bovine Babesia vaccine. . In Australia, Babesia parasites cause most of the severe and often fatal cases of cattle-tick fever, a globally significant tick-borne disease. It can be prevented by a live-attenuated parasite vaccine which has critical limitations of a 4-day shelf-life and risk of severe disease if administered to adult cattle. This project aims to evaluate in cattle a novel whole parasite Babesia bovis vaccine that cannot cause disease and can be pres .... A next-generation whole parasite bovine Babesia vaccine. . In Australia, Babesia parasites cause most of the severe and often fatal cases of cattle-tick fever, a globally significant tick-borne disease. It can be prevented by a live-attenuated parasite vaccine which has critical limitations of a 4-day shelf-life and risk of severe disease if administered to adult cattle. This project aims to evaluate in cattle a novel whole parasite Babesia bovis vaccine that cannot cause disease and can be preserved as an off-the-shelf product without losing efficacy. The expected outcome is a significantly improved vaccine for a major infectious disease that affects primary food production. As the disease imposes a major economic burden, it will have great benefit for the Australian livestock industry.
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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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    Showing 1-6 of 6 Funded Activites

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