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Current Selection
Research Topic : Breeding Programs
Australian State/Territory : NSW
Status : Closed
Australian State/Territory : SA
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Quantitative Genetics (incl. Disease and Trait Mapping Genetics) (4)
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Plant Improvement (Selection, Breeding And Genetic Engineering) (3)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0560480

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Understanding, controlling and improving the flavour of almond kernels. Almond kernels may be sweet, semi-bitter or bitter, with the first two categories marketed as fresh nuts, while the latter are used in processed products such as marzipan. Semi-bitter kernels have a more interesting flavour than sweet kernels and we require tools to breed for this character. The bitter flavour is imparted by amygdalin via the cyanogenic pathway. This project will characterise the genetic control of sweet, .... Understanding, controlling and improving the flavour of almond kernels. Almond kernels may be sweet, semi-bitter or bitter, with the first two categories marketed as fresh nuts, while the latter are used in processed products such as marzipan. Semi-bitter kernels have a more interesting flavour than sweet kernels and we require tools to breed for this character. The bitter flavour is imparted by amygdalin via the cyanogenic pathway. This project will characterise the genetic control of sweet, semi-bitter and bitter flavour, amygdalin accumulation in developing kernels, and key enzymes in the cyanogenic pathway. Almond populations segregating for these traits will be used and the data will be integrated into the Australian almond meiotic map.
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    Funded Activity

    Linkage Projects - Grant ID: LP0453645

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Investigation of almond transformation for self-fertility and virus resistance. This project addresses the long-term goal of the Australian almond industry to produce cultivars that are self-fertile and resistant to Prunus necrotic ringspot and prune dwarf viruses. Both self-sterility and virus infection can result in unreliable and often low yields. Research will address the control of gene expression relating to self-sterility and the introduction of virus resistance, via sequencing of self- .... Investigation of almond transformation for self-fertility and virus resistance. This project addresses the long-term goal of the Australian almond industry to produce cultivars that are self-fertile and resistant to Prunus necrotic ringspot and prune dwarf viruses. Both self-sterility and virus infection can result in unreliable and often low yields. Research will address the control of gene expression relating to self-sterility and the introduction of virus resistance, via sequencing of self-fertility and self-sterility genes, construct development and improved regeneration of transformed almond in vitro without the use of antibiotics.
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    Funded Activity

    Discovery Projects - Grant ID: DP0556459

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Integrating a physical and functional genetic map of Prunus dulcis. Genome wide physical mapping is the centrepiece of current genomics research in virtually all plant and animal species. The proposal seeks to champion the development of Prunus dulcis (Rosaceae) as a model perennial species towards parity with other plant model systems for gene discovery and validation. The Rosaceae represents a rich repository of genes of relevance to perenniality, adaptation, sustainable agriculture, health a .... Integrating a physical and functional genetic map of Prunus dulcis. Genome wide physical mapping is the centrepiece of current genomics research in virtually all plant and animal species. The proposal seeks to champion the development of Prunus dulcis (Rosaceae) as a model perennial species towards parity with other plant model systems for gene discovery and validation. The Rosaceae represents a rich repository of genes of relevance to perenniality, adaptation, sustainable agriculture, health and nutrition and the bioindustries. Ultimately, comparative genomics across the family will advance molecular eco-genetics via dissection of traits determining adaptive response. Access to user-friendly molecular markers will also bring greater precision to breeding programmes.
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    Funded Activity

    Linkage Projects - Grant ID: LP150101242

    Funder
    Australian Research Council
    Funding Amount
    $497,009.00
    Summary
    Developing Zn-dense, high-yielding wheat by molecular marker technology. The objective of this project is to identify pathways leading to the accumulation of zinc — an important element for human nutrition — in wheat. The project aims to provide biochemical and molecular markers for breeding programs that will facilitate the selection of superior breeding lines for improved human nutrition and seed health. This project builds on studies using a wheat diversity panel with 90 000 gene-based single .... Developing Zn-dense, high-yielding wheat by molecular marker technology. The objective of this project is to identify pathways leading to the accumulation of zinc — an important element for human nutrition — in wheat. The project aims to provide biochemical and molecular markers for breeding programs that will facilitate the selection of superior breeding lines for improved human nutrition and seed health. This project builds on studies using a wheat diversity panel with 90 000 gene-based single nucleotide polymorphism (SNP) markers, where zinc–SNP associations were identified. The project also builds on recent studies that show particular metabolites and macronutrients around anthesis are linked to improved grain zinc concentration at maturity.
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    Funded Activity

    Discovery Projects - Grant ID: DP160102126

    Funder
    Australian Research Council
    Funding Amount
    $331,600.00
    Summary
    Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and meth .... Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and methods and an efficient algorithm implemented in software, which would broadly benefit the field of complex trait genetics. Methods to estimate genotype–environment interaction effects at the genomic level would help elucidate complex biological systems, including human genetic response to changing environmental factors and the potential adaptation of animals to changing environmental conditions.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT160100229

    Funder
    Australian Research Council
    Funding Amount
    $719,313.00
    Summary
    Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat .... Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.
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    Funded Activity

    Industrial Transformation Research Hubs - Grant ID: IH130200027

    Funder
    Australian Research Council
    Funding Amount
    $4,308,668.00
    Summary
    ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. This Research Hub, in partnership with wheat breeding companies, aims to deliver advanced technologies, germplasm and information to produce new stress tolerant varieties. Genetic diversity and novel traits will be introduced from exotic germplasm and high-throughput field-phenotyping tools will be deve .... ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. This Research Hub, in partnership with wheat breeding companies, aims to deliver advanced technologies, germplasm and information to produce new stress tolerant varieties. Genetic diversity and novel traits will be introduced from exotic germplasm and high-throughput field-phenotyping tools will be developed to assist in selection of superior lines. Strategic research will be targeted towards the development of wheat with combined heat and drought tolerance and maintenance of high grain protein.
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