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Scheme : Linkage Projects
Field of Research : Genetics
Research Topic : VESTIBULAR DISEASE
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Genetics (7)
Quantitative Genetics (incl. Disease and Trait Mapping Genetics) (6)
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Crop and Pasture Improvement (Selection and Breeding) (1)
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Control of Animal Pests, Diseases and Exotic Species in Forest and Woodlands Environments (1)
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  • Researchers (36)
  • Funded Activities (7)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0882622

    Funder
    Australian Research Council
    Funding Amount
    $395,000.00
    Summary
    Developing new methods to retrieve and analyse preserved genetic information. This project will position Australia at the leading edge of research into preserved DNA, and will use innovative molecular biology approaches to develop a range of new forensic, archaeological and medical applications. It will build Australian knowledge and scientific capacity by developing core expertise and training personnel in areas important for biosecurity, customs and quarantine, forensics/counter-terrorism, and .... Developing new methods to retrieve and analyse preserved genetic information. This project will position Australia at the leading edge of research into preserved DNA, and will use innovative molecular biology approaches to develop a range of new forensic, archaeological and medical applications. It will build Australian knowledge and scientific capacity by developing core expertise and training personnel in areas important for biosecurity, customs and quarantine, forensics/counter-terrorism, and studies of climate change. It will also create and foster research innovation in molecular biology with spin-offs for evolution, archaeology, medical and conservation biology research, and will also encourage involvement with the rapidly expanding field of genomics and bioinformatics.
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    Funded Activity

    Linkage Projects - Grant ID: LP100100880

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of diff .... Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of difficult but important traits such as disease resistance, reduced green-house gas emissions and product quality. The same methods can be extended to improve genetic improvement in plants and better prediction of human disease risk.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100648

    Funder
    Australian Research Council
    Funding Amount
    $588,029.00
    Summary
    Identifying the diversity and evolution of loci associated with adaptation to aridity/heat and salinity in ancient cereal crops. This project will use ancient grains of wheat, barley and rye to find 'lost' genetic diversity at key genes associated with resistance to aridity, salt and disease. This project will make the proteins of key genes, and study their interaction with the environment over time by measuring ions in the grains to reveal the ancient environmental conditions.
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    Funded Activity

    Linkage Projects - Grant ID: LP150100694

    Funder
    Australian Research Council
    Funding Amount
    $517,000.00
    Summary
    Exploring genetic diversity to identify new heat tolerance genes in wheat. This project aims to improve the selection and development of heat-tolerant wheat varieties. Heatwaves seriously reduce wheat yields worldwide, and the situation will worsen with climate variation. This project aims to apply a broad genetic scan to identify the main chromosome regions controlling heat tolerance at the sensitive flowering stage in Australian and European wheat varieties. It is expected that this knowledge .... Exploring genetic diversity to identify new heat tolerance genes in wheat. This project aims to improve the selection and development of heat-tolerant wheat varieties. Heatwaves seriously reduce wheat yields worldwide, and the situation will worsen with climate variation. This project aims to apply a broad genetic scan to identify the main chromosome regions controlling heat tolerance at the sensitive flowering stage in Australian and European wheat varieties. It is expected that this knowledge will deliver crucial breeders’ tools to select heat-tolerant varieties. The project also aims to identify genes most likely to control tolerance at these chromosome locations using gene expression profiling data, trait associations and knowledge of heat-tolerance genes from other species. It is expected that these genes will reveal molecular mechanisms of heat tolerance and create new opportunities to engineer superior levels of tolerance in cereals.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100458

    Funder
    Australian Research Council
    Funding Amount
    $619,138.00
    Summary
    Genome-wide determination of Puccinia psidii s.l. rust resistance in eucalypts. Recently, guava rust was detected in Australia, posing significant risks to native flora, plantations, and timber exports. Scientists from The University of Melbourne and Victorian Department of Primary Industries together with tree breeders, forest growers and forest managers aim to use tree genomics rust resistance breeding to enable management and operational responses and inform policy development.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100572

    Funder
    Australian Research Council
    Funding Amount
    $630,000.00
    Summary
    TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. .... TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. The research team unites international industry, the Australian Plant Phenomics Facility, and university statistical geneticists. TraitCapture software will use open standards applicable to both controlled and field environments enabling plant breeders to pre-select adaptive traits to increase crop productivity under environmental stress.
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    Funded Activity

    Linkage Projects - Grant ID: LP120200699

    Funder
    Australian Research Council
    Funding Amount
    $282,500.00
    Summary
    Fertility crisis: harnessing the genomic tension behind pollen fertility in sorghum. Hybrid sorghum varieties yield more grain than inbred varieties but the production seed for farmers can be difficult. This project will identify the genes responsible for a trait that makes hybrid seed production possible and this knowledge will help raise sorghum yields in Australian and in some of the world’s poorest countries.
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