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
Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of diff ....Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of difficult but important traits such as disease resistance, reduced green-house gas emissions and product quality. The same methods can be extended to improve genetic improvement in plants and better prediction of human disease risk. 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
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
Mapping recombination blocks in Brassica. DNA technology provides new ways to study genomes. Understanding how the genome behaves during plant breeding will help design strategies for the breeding and selection of improved crop plants.
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
Breaking the nexus: more biomass in cereal grain. Grain yield is controlled by complex, regulated genetic networks or quantitative trait loci (QTLs) derived from natural variations in many crop plants. Yield is a product of the three major parameters: panicle number, grain number and grain size, trade-offs are commonly observed between grain number and size. There is evidence to suggest it is possible to improve grain size without altering overall biomass. With the genomic and genetic resource t ....Breaking the nexus: more biomass in cereal grain. Grain yield is controlled by complex, regulated genetic networks or quantitative trait loci (QTLs) derived from natural variations in many crop plants. Yield is a product of the three major parameters: panicle number, grain number and grain size, trade-offs are commonly observed between grain number and size. There is evidence to suggest it is possible to improve grain size without altering overall biomass. With the genomic and genetic resource tools at hand. This project will elucidate the genetic architecture of grain size, and manipulate the key loci to generate more biomass in the grain, minimising or eliminating the adverse impact on seed number. This will maximise harvestable yield without imposing increased demand for water and nutrients.Read moreRead less
Defining the Brassica pan-genome and establishing methods for gene conversion based crop improvement. Gene content varies between individual varieties. The project aims to apply novel genomic tools to identify and characterise the fixed and variable gene content in the important crop canola and use this to understand genome evolution as well as develop tools to accelerate canola breeding. The project team have developed and used a high-resolution genotyping approach to demonstrate that gene conv ....Defining the Brassica pan-genome and establishing methods for gene conversion based crop improvement. Gene content varies between individual varieties. The project aims to apply novel genomic tools to identify and characterise the fixed and variable gene content in the important crop canola and use this to understand genome evolution as well as develop tools to accelerate canola breeding. The project team have developed and used a high-resolution genotyping approach to demonstrate that gene conversions, short recombination events which lead to the non-reciprocal exchange of genomic regions during meiosis, are abundant in crop genomes. The project aims to develop methods and resources to characterise gene conversion in canola and establish a basis for gene conversion based crop improvement.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
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.Read moreRead less