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
Predicting Perfect Partners: climate resilient seed production technology . This project aims to increase productivity and profitability of the Australian sorghum industry in the face of risks imposed by an increasingly variable climate. This project expects to generate new knowledge of processes limiting hybrid seed production and translate this world-class research into tools and services that can be used by seed companies to improve its efficiency and reliability. The intended outcome will in ....Predicting Perfect Partners: climate resilient seed production technology . This project aims to increase productivity and profitability of the Australian sorghum industry in the face of risks imposed by an increasingly variable climate. This project expects to generate new knowledge of processes limiting hybrid seed production and translate this world-class research into tools and services that can be used by seed companies to improve its efficiency and reliability. The intended outcome will increase the security and sustainability of farming by minimising the risk of climate-induced seed shortages, maintaining Australia’s leadership in agricultural technology development. The expected benefits support profitable and productive businesses, providing Australian agriculture with a competitive, sustainable edge.Read moreRead less
Genomics to rust proof the humble oat. This project aims to reduce the impact of the damaging and currently intractable fungal pathogen crown rust (OCR) in Australian oat production. The expected project outcomes are: new sources of enduring high value resistance to OCR, tools to accelerate the use of these resistances, and locally adapted OCR resistant oat germplasm for use in developing profitable oat varieties. The project will use new approaches to tap very recently released genomic resource ....Genomics to rust proof the humble oat. This project aims to reduce the impact of the damaging and currently intractable fungal pathogen crown rust (OCR) in Australian oat production. The expected project outcomes are: new sources of enduring high value resistance to OCR, tools to accelerate the use of these resistances, and locally adapted OCR resistant oat germplasm for use in developing profitable oat varieties. The project will use new approaches to tap very recently released genomic resources and unique oat/ OCR resources assembled over many years. It will lead to responsible stewardship of broadly effective OCR resistance in grazing/milling/hay oats, increasing grower profitability, reducing reliance on fungicides, and underpinning planned growth in our export oat market. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100959
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Unlocking The Agricultural Potential Of The Dark Genome. Sustaining competitive agricultural production in the face of climate change demands more resilient, diverse, and adaptable crop varieties. Studies on the genes of crop plants have had huge benefits for agriculture, but genes themselves make up only a tiny fraction of the genome. It has until recently been impossible to assemble the 'dark' space between genes. Using ultra-modern barley genomes, this project aims to harness information from ....Unlocking The Agricultural Potential Of The Dark Genome. Sustaining competitive agricultural production in the face of climate change demands more resilient, diverse, and adaptable crop varieties. Studies on the genes of crop plants have had huge benefits for agriculture, but genes themselves make up only a tiny fraction of the genome. It has until recently been impossible to assemble the 'dark' space between genes. Using ultra-modern barley genomes, this project aims to harness information from the dark genome to (i) discover new genes with agricultural importance, (ii) illuminate invisible genomic features that can slow down plant breeding programs, and (iii) identify opportunities to transfer useful new genes into the cultivated gene pool.Read moreRead less
Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key featur ....Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key feature in biology, which relates to dissecting the complex mechanism of association and interaction. The proposed statistical model implemented in a context of a novel design based on multiple GWAS data sets is a paradigm shifting-tool with applications to multiple industries.Read moreRead less