Maximising pineapple production for Australian farmers using genome editing. This project addresses the single biggest issue affecting the viability of pineapple farming in Australia and internationally: premature flowering leading to supply collapse. We aim to develop CRISPR technology to breed new pineapple varieties using non-GM approaches. Expected outcomes include the production of pineapples with resistance to premature flowering, as well as the technologies to deliver additional improveme ....Maximising pineapple production for Australian farmers using genome editing. This project addresses the single biggest issue affecting the viability of pineapple farming in Australia and internationally: premature flowering leading to supply collapse. We aim to develop CRISPR technology to breed new pineapple varieties using non-GM approaches. Expected outcomes include the production of pineapples with resistance to premature flowering, as well as the technologies to deliver additional improvements in the future. The new varieties will benefit farmers through increased production, maximising supply capability for a rapidly growing internal demand. This will benefit Australian pineapple producers through higher profitability in existing markets, as well as enabling expansion into international and future markets.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
Reducing environmental footprint by improving phosphorous use efficiency. While modern agriculture relies heavily on the use of phosphorous fertilizers, most of them are not used by plants and lost in runoff, resulting in a massive environmental damage through contamination of waterways (termed eutrophication). This project takes advantage of an untapped resource - a unique collection of Tibetan wild barley genotypes, to reveal key traits that confer superior phosphorus use efficiency in wild ba ....Reducing environmental footprint by improving phosphorous use efficiency. While modern agriculture relies heavily on the use of phosphorous fertilizers, most of them are not used by plants and lost in runoff, resulting in a massive environmental damage through contamination of waterways (termed eutrophication). This project takes advantage of an untapped resource - a unique collection of Tibetan wild barley genotypes, to reveal key traits that confer superior phosphorus use efficiency in wild barley and identify appropriate candidate genes and their position on chromosomes for further incorporating these traits into commercial barley cultivars. This will reduce the environmental footprint of modern agricultural practices on terrestrial and aquatic ecosystems without compromising food security.Read moreRead less
Maximizing male fertility: the role of CRISP proteins. This project aims to investigate the function of cysteine rich secretory protein (CRISP) family members in fertility. It is expected to generate new knowledge on the role CRISP1 and 4 play in sperm competition in vivo, and thus, evolutionary processes; to define the role seminal plasma CRISPs play in fertility; and identify the mechanism underpinning their biological activities. This will be achieved using a range of innovative, state-of-the ....Maximizing male fertility: the role of CRISP proteins. This project aims to investigate the function of cysteine rich secretory protein (CRISP) family members in fertility. It is expected to generate new knowledge on the role CRISP1 and 4 play in sperm competition in vivo, and thus, evolutionary processes; to define the role seminal plasma CRISPs play in fertility; and identify the mechanism underpinning their biological activities. This will be achieved using a range of innovative, state-of-the-art approaches. Expected outcomes and benefits include an enhanced knowledge of the mechanisms underpinning fertility and infertility, enhanced collaboration and research knowhow, and an evidence base for future applied projects aimed enhancing fertility in agricultural species.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100168
Funder
Australian Research Council
Funding Amount
$413,847.00
Summary
Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features w ....Self-Supervised Sequential Biomedical Image-Omics. This project aims to develop a self-supervised sequential biomedical image-omics model to uncover the underlying biological processes e.g., normal or abnormal. Sequential biomedical images are state-of-the-art imaging modalities which allow to depict changes in progression to the human body. New self-supervised machine learning algorithms are proposed to derive features from heterogenous and unlabelled sequential images. These derived features will then be used to characterise the morphological and functional changes, which provide opportunities to increase understanding of progression of diseases of individual subject. The outcome from this project will provide new insights into system biology with potential future benefits in healthcare.Read moreRead less
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. Read moreRead less
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.Read moreRead less
Beyond pineal melatonin: sensing the seasons without the eye. The project will identify the causal connection between seasonal breeding in animals and a recently recognised brain biochemical pathway by applying experimental treatments mimicking seasonal environmental changes in a mutant and wild-type nematode worm model. Through experimentation we will identify useful biological targets that might be manipulated to enhance control of seasonal breeding in managed animals. With better control of r ....Beyond pineal melatonin: sensing the seasons without the eye. The project will identify the causal connection between seasonal breeding in animals and a recently recognised brain biochemical pathway by applying experimental treatments mimicking seasonal environmental changes in a mutant and wild-type nematode worm model. Through experimentation we will identify useful biological targets that might be manipulated to enhance control of seasonal breeding in managed animals. With better control of reproductive output in animals, farmers and managers can increase and/or decrease reproductive output as needed in managed species including livestock and vertebrate pests. This will enhance the use of precious land resources and minimize ecological damage from overbreeding.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
Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for ....Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for important agronomic traits including disease resistance, flowering time and legume nitrogen fixation which will enable plant breeders to identify and apply novel genes and allelic variants for use in breeding programmes, accelerating the production of improved crop varieties.Read moreRead less