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.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100016
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre in Predictive Breeding for Agricultural Futures. This Centre aims to develop the advanced capacity needed to secure Australia’s food and fibre production and export value into the future. Leveraging immense industry support, the Centre expects to develop and integrate cutting-edge plant and animal breeding technologies and deliver world-class training that addresses critical demand for highly skilled industry leaders. Expected outcomes include a future-ready predictive breedi ....ARC Training Centre in Predictive Breeding for Agricultural Futures. This Centre aims to develop the advanced capacity needed to secure Australia’s food and fibre production and export value into the future. Leveraging immense industry support, the Centre expects to develop and integrate cutting-edge plant and animal breeding technologies and deliver world-class training that addresses critical demand for highly skilled industry leaders. Expected outcomes include a future-ready predictive breeding industry able to transform data into optimised decisions, and the human capacity to drive it. This should provide significant benefits to enhance the sustainability and profitability of all major Australian agriculture sectors, including livestock, grains, horticulture, cotton, wine, dairy, forestry and fisheries.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100648
Funder
Australian Research Council
Funding Amount
$472,027.00
Summary
Novel reproductive approaches to de-risk and transform barramundi breeding. Demand for Australian seafood outstrips supply. Farming of the iconic Australian barramundi is poised to play a major role addressing this shortfall; but innovative methods are needed to de-risk breeding processes and to provide precise control of maturation, spawning and genetic contribution of broodstock. This project, in partnership with the world’s largest barramundi breeding company, will develop, test and apply nov ....Novel reproductive approaches to de-risk and transform barramundi breeding. Demand for Australian seafood outstrips supply. Farming of the iconic Australian barramundi is poised to play a major role addressing this shortfall; but innovative methods are needed to de-risk breeding processes and to provide precise control of maturation, spawning and genetic contribution of broodstock. This project, in partnership with the world’s largest barramundi breeding company, will develop, test and apply novel breeding methods to obtain tight control over barramundi reproductive development and spawning. By combining cutting-edge genetic and applied breeding techniques, selective breeding programs will be more efficient and the genetic gains from breeding programs will be maximised.Read moreRead less
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.Read moreRead less
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.Read moreRead less
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.Read moreRead less
Targeting TGF-beta proteins to control animal reproduction. This project aims to develop a suite of novel biologics to control fertility in female mammals. This project expects to demonstrate that targeting a single class of ovarian proteins will enhance or inhibit egg production. The expected outcomes of this project are to (1) transform the breeding of livestock animals, which should provide significant benefits to the agricultural industry, through increased herd/flock sizes, and (2) provide ....Targeting TGF-beta proteins to control animal reproduction. This project aims to develop a suite of novel biologics to control fertility in female mammals. This project expects to demonstrate that targeting a single class of ovarian proteins will enhance or inhibit egg production. The expected outcomes of this project are to (1) transform the breeding of livestock animals, which should provide significant benefits to the agricultural industry, through increased herd/flock sizes, and (2) provide a non-surgical method of contraception in companion/feral species, which should address the large unmet need for fertility control in these animals.
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Australia's native sorghums: a model for testing plant adaptation theories. This proposal tests an emerging theory that allocation of resources by plants to growth or defence are interrelated, not alternatives as currently assumed. Like many crops, sorghum produces toxic cyanide, especially during droughts but its wild relatives make much less. This project aims to discover why cyanide is so common in domesticated plants and why levels increase with stress. This has important implications for de ....Australia's native sorghums: a model for testing plant adaptation theories. This proposal tests an emerging theory that allocation of resources by plants to growth or defence are interrelated, not alternatives as currently assumed. Like many crops, sorghum produces toxic cyanide, especially during droughts but its wild relatives make much less. This project aims to discover why cyanide is so common in domesticated plants and why levels increase with stress. This has important implications for developing crops that are high yielding and also climate resilient. Expected outcomes include full genome sequences for all of Australia’s unique native sorghums, confirmation of new theories on the interrelationships between defence and growth and identification of new traits vital for developing the crops of the future. Read moreRead less
Increasing amphibian immunity to combat disease causing mass extinction. This project aims to increase amphibian survival to combat the devastating chytrid fungus by identifying resistance genes and increasing their frequency in the host population. The project is interdisciplinary and uses targeted genetic manipulation techniques developed for agriculture to improve disease resistance in wildlife for the first time. Expected outcomes include 1) enhanced international collaborations in comparati ....Increasing amphibian immunity to combat disease causing mass extinction. This project aims to increase amphibian survival to combat the devastating chytrid fungus by identifying resistance genes and increasing their frequency in the host population. The project is interdisciplinary and uses targeted genetic manipulation techniques developed for agriculture to improve disease resistance in wildlife for the first time. Expected outcomes include 1) enhanced international collaborations in comparative immunology, 2) a comprehensive understanding of immunity to chytridiomycosis, and 3) disease resistant amphibians. The anticipated benefit is ability to apply the optimal method to improve conservation of wildlife threatened by emerging disease, such as marker assisted selective breeding or genetic engineering.Read moreRead less
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.Read moreRead less