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Field of Research : Genetics
Research Topic : Breeding Programs
Australian State/Territory : VIC
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Genetics (8)
Animal Breeding (4)
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  • Funded Activity

    Linkage Projects - Grant ID: LP160101626

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    Novel genomic technologies to improve fertility in northern beef cattle. This project aims to develop new genomic technologies to enable accelerated improvement of cow fertility. Increased global demand for beef is driving northern Australian beef enterprises to develop innovative ways to increase productivity. A substantial industry challenge is poor fertility of cows, with weaning rates frequently less than 40%. The expected outcomes of this project are an improvement in weaning rates to enabl .... Novel genomic technologies to improve fertility in northern beef cattle. This project aims to develop new genomic technologies to enable accelerated improvement of cow fertility. Increased global demand for beef is driving northern Australian beef enterprises to develop innovative ways to increase productivity. A substantial industry challenge is poor fertility of cows, with weaning rates frequently less than 40%. The expected outcomes of this project are an improvement in weaning rates to enable accelerated genetic gain for fertility in these enterprises by delivering a low cost array, which assays thousands of DNA variants affecting fertility simultaneously. This should provide significant benefits such as a new genomic prediction method informed by gene expression data from a unique resource of Brahman cattle with exceptionally high fertility, generating significant industry benefits.
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    Funded Activity

    Linkage Projects - Grant ID: LP0775187

    Funder
    Australian Research Council
    Funding Amount
    $222,000.00
    Summary
    Breeding for the future - Alpaca genetics. The Australian alpaca industry is recognised as an international leader. Alpaca fleece provides an annual national economic benefit of $1 million and has enormous potential for growth. This project will use a novel molecular mapping approach to generate a genetic test for desirable Suri fleece - the single biggest factor in developing a purebreeding suri line whilst retaining variation in other traits and avoiding inbreeding. This will quickly increase .... Breeding for the future - Alpaca genetics. The Australian alpaca industry is recognised as an international leader. Alpaca fleece provides an annual national economic benefit of $1 million and has enormous potential for growth. This project will use a novel molecular mapping approach to generate a genetic test for desirable Suri fleece - the single biggest factor in developing a purebreeding suri line whilst retaining variation in other traits and avoiding inbreeding. This will quickly increase the industry value, providing opportunity for rural communities to diversify farming enterprises and maximise income, and offering further employment in regional areas. This project will ensure Australian breeders retain a competitive edge in the face of alpaca research beginning in the USA.
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    Funded Activity

    Discovery Projects - Grant ID: DP0987835

    Funder
    Australian Research Council
    Funding Amount
    $220,000.00
    Summary
    Mechanistic characterisation of genotype x environment interactions in sorghum and arabidopsis. Sorghum is an economically important cereal crop for Australia. In Australia, sorghum is used as a staple animal feed and it is very important for the live stock industry. With the predicted changes of temperature and rainfall patterns due to climate change, negative effects on sorghum yield are expected, which can have adverse effects on Australian economy. Our studies will identify and mark genes th .... Mechanistic characterisation of genotype x environment interactions in sorghum and arabidopsis. Sorghum is an economically important cereal crop for Australia. In Australia, sorghum is used as a staple animal feed and it is very important for the live stock industry. With the predicted changes of temperature and rainfall patterns due to climate change, negative effects on sorghum yield are expected, which can have adverse effects on Australian economy. Our studies will identify and mark genes that regulate flowering and seed production in sorghum in response to changes in temperature and light interactions. These studies will help to develop novel sorghum varieties with desirable characters through plant-breeding programmes.
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    Funded Activity

    Linkage Projects - Grant ID: LP0211919

    Funder
    Australian Research Council
    Funding Amount
    $168,252.00
    Summary
    Identification of genes controlling wood fibre properties in Eucalyptus nitens. Australian forestry is shifting to high intensity eucalypt plantations and increasingly focussing on development of breeds and clones with superior wood and pulp traits. Many of these traits are under moderate to strong genetic control and DNA markers have helped identify regions on eucalypt chromosomes that influence these traits. This project aims to identify the genes at these chromosomal locations that influence .... Identification of genes controlling wood fibre properties in Eucalyptus nitens. Australian forestry is shifting to high intensity eucalypt plantations and increasingly focussing on development of breeds and clones with superior wood and pulp traits. Many of these traits are under moderate to strong genetic control and DNA markers have helped identify regions on eucalypt chromosomes that influence these traits. This project aims to identify the genes at these chromosomal locations that influence wood fibre development and which have a strong influence on major commercial traits. The project will increase our understanding of wood and fibre development in eucalypts, and facilitate development of genetic markers to track superior genes during breeding.
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    Funded Activity

    Linkage Projects - Grant ID: LP0668942

    Funder
    Australian Research Council
    Funding Amount
    $130,000.00
    Summary
    Genetic association studies of fundamental wood fibre components in Pinus radiata resource populations. Radiata pine is Australia's premiere softwood plantation species occupying in excess of one million hectares, contributing over $18 billion to Australia's GNP and providing employment to 130,000 Australians. With a trade deficit in forest and forest products of $1.85 billion, current massive plantation establishment efforts are in train to reverse this trend. These have to be backed by researc .... Genetic association studies of fundamental wood fibre components in Pinus radiata resource populations. Radiata pine is Australia's premiere softwood plantation species occupying in excess of one million hectares, contributing over $18 billion to Australia's GNP and providing employment to 130,000 Australians. With a trade deficit in forest and forest products of $1.85 billion, current massive plantation establishment efforts are in train to reverse this trend. These have to be backed by research into the factors that determine the base resource's quality, growth and sustainability. Results will lead to improved resource quality, increased productivity and new industrial opportunities, directly improving our trade position and releasing pressure on our native forest resources.
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    Funded Activity

    Discovery Projects - Grant ID: DP160101056

    Funder
    Australian Research Council
    Funding Amount
    $338,300.00
    Summary
    The extent, causes and implications of pleiotropy among complex traits. The project seeks to understand how a DNA mutation can affect many characters or traits. Many traits are called complex because they are controlled by a very large number of genes, most of which have small effects. Complex traits include traits important in medicine (such as susceptibility to heart disease) and in agriculture (such as tenderness of meat). Because there are many genes affecting each trait, most genes have sma .... The extent, causes and implications of pleiotropy among complex traits. The project seeks to understand how a DNA mutation can affect many characters or traits. Many traits are called complex because they are controlled by a very large number of genes, most of which have small effects. Complex traits include traits important in medicine (such as susceptibility to heart disease) and in agriculture (such as tenderness of meat). Because there are many genes affecting each trait, most genes have small effects which makes them hard to identify. The fact that a mutation that has a small effect on a complex trait also has a larger effect on a less complex trait may help us to identify the mutation and use it in agriculture or medicine.
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    Funded Activity

    Linkage Projects - Grant ID: LP130101055

    Funder
    Australian Research Council
    Funding Amount
    $524,718.00
    Summary
    Control points in nitrogen uptake: enhancing the response of cereals to nitrogen supply and demand. Vast amounts of nitrogen fertiliser are applied to cereal crops to maintain yields. By uncovering what limits nitrogen uptake in cereals, this project will provide the scientific basis for improving nitrogen use efficiency and decreasing fertiliser use, with significant economic and environmental benefits.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100499

    Funder
    Australian Research Council
    Funding Amount
    $415,000.00
    Summary
    Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un .... Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.
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