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Research Topic : Breeding Programs
Socio-Economic Objective : Beef Cattle
Australian State/Territory : NSW
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Animal Breeding (2)
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Beef Cattle (4)
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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: 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: 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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    Funded Activity

    Discovery Projects - Grant ID: DP130100542

    Funder
    Australian Research Council
    Funding Amount
    $246,000.00
    Summary
    Evolution, selection and estimation of polygenic epistatic networks in quantitative traits. Traits observed in organisms, such as height, are the result of an individual's genes and how they relate to the environment. But genes do not act alone; they work together in complex interactions. This project aims to understand these interactions and their role in animal production and human disease.
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    Showing 1-4 of 4 Funded Activites

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