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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100028
Funder
Australian Research Council
Funding Amount
$720,000.00
Summary
Ultra-high resolution and advanced analytical scanning electron microscope facility. This scanning electron microscope facility will form an essential part of characterising a broad range of material types, from nanometre sized particles through to cells and their interactions.
The Betaproteobacteria: could they play a key role in nitrogen fixation on infertile soils with legumes adapted to climate change? Microbial biosecurity is often overlooked when introducing agricultural species to Australia. As we research new legume species to make our $44 billion agricultural industries robust in the face of a changing climate, we need to be aware of the implications of the associated introduction of (beneficial) microbes. By exploring the globe for plants from regions that al ....The Betaproteobacteria: could they play a key role in nitrogen fixation on infertile soils with legumes adapted to climate change? Microbial biosecurity is often overlooked when introducing agricultural species to Australia. As we research new legume species to make our $44 billion agricultural industries robust in the face of a changing climate, we need to be aware of the implications of the associated introduction of (beneficial) microbes. By exploring the globe for plants from regions that already have the climate we are transitioning towards, we have discovered new perennial forage legumes from which we can build a robust agriculture in the arid regions of southern Australia. This will have enormous national benefit in rural regions. This project will research the essential microbial inoculants associated with these new plants.Read moreRead less
Co-variant analysis and statistical modelling for improved crop yield. This project plans to develop mathematical tools that will help to identify cereal plant varieties with the highest yield. This is a critical responsibility of plant breeders and many Australian breeders acquire and store important information related to the issue. However, there are as yet no mathematical tools that are able to co-analyse the heterogeneous and high-dimensional data in order to understand how external and int ....Co-variant analysis and statistical modelling for improved crop yield. This project plans to develop mathematical tools that will help to identify cereal plant varieties with the highest yield. This is a critical responsibility of plant breeders and many Australian breeders acquire and store important information related to the issue. However, there are as yet no mathematical tools that are able to co-analyse the heterogeneous and high-dimensional data in order to understand how external and internal factors correlate with the major growth and development stages at the crop level. This project seeks to develop and implement mathematical and statistical tools to analyse genetic, agronomic and phenomic factors that affect plant performance, to deliver advanced yield prediction.Read moreRead less
Turning sand into sheep feed - Lebeckia ambigua an agricultural perennial! This project aims to develop nitrogen-fixing legumes adapted to the changing climate. Nitrogen fixation from legumes is worth $3 billion to the Australian agricultural economy, but changing rainfall patterns threaten much of this. One solution is to transition pasture growth to a reliance on perennial plants, which are less affected by unseasonal rain. Lebeckia ambigua is an outstanding perennial legume to begin this chan ....Turning sand into sheep feed - Lebeckia ambigua an agricultural perennial! This project aims to develop nitrogen-fixing legumes adapted to the changing climate. Nitrogen fixation from legumes is worth $3 billion to the Australian agricultural economy, but changing rainfall patterns threaten much of this. One solution is to transition pasture growth to a reliance on perennial plants, which are less affected by unseasonal rain. Lebeckia ambigua is an outstanding perennial legume to begin this change, but its nitrogen fixation is compromised by nodulation failure caused by death of its symbiotic rhizobia. This project intends to improve the survival in acid and infertile soils of the unique rhizobial symbionts the research team has discovered for Lebeckia ambigua in South Africa.Read moreRead less
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.
On the physiology of plant transpiration. This project aims to better understand plant transpiration. It is significant from both a basic and a practical perspective. It intends to solve a conundrum of the biophysics of the evaporative sites within leaves. That is, in dry air, the relative humidity of intercellular air spaces suggests much lower liquid water potentials than those typically measured. At a practical level, the failure to sustain transpiration in dry conditions leads to desiccation ....On the physiology of plant transpiration. This project aims to better understand plant transpiration. It is significant from both a basic and a practical perspective. It intends to solve a conundrum of the biophysics of the evaporative sites within leaves. That is, in dry air, the relative humidity of intercellular air spaces suggests much lower liquid water potentials than those typically measured. At a practical level, the failure to sustain transpiration in dry conditions leads to desiccation and tissue death, and plants differ in this vulnerability. The aim is to apply a novel nanoparticle technique to measure the water potential distribution within the leaf, identify hydraulic resilience attributes, and develop a modern theory of optimal transpiration under varying conditions.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100123
Funder
Australian Research Council
Funding Amount
$160,000.00
Summary
Agro-ecosystem sensor capability for elevated CO2 free air research facility. Agro-ecosystem sensor capability for elevated carbon dioxide-free air research facility: This project will provide infrastructure upgrades to the Australian Grains Free Air Carbon dioxide Enrichment (AGFACE) facility, globally the only FACE facility in low rainfall, non-irrigated agri-ecosystems. Low rainfall, non-irrigated agriculture systems play a very significant role in global crop production and are predicted to ....Agro-ecosystem sensor capability for elevated CO2 free air research facility. Agro-ecosystem sensor capability for elevated carbon dioxide-free air research facility: This project will provide infrastructure upgrades to the Australian Grains Free Air Carbon dioxide Enrichment (AGFACE) facility, globally the only FACE facility in low rainfall, non-irrigated agri-ecosystems. Low rainfall, non-irrigated agriculture systems play a very significant role in global crop production and are predicted to be negatively affected by climate changes. The requested infrastructure will enable direct, plot scale measurements of crop water balance and water status, including crucial influence factors such as root growth and architecture and crop canopy temperatures, and allow manipulation experiments to develop adaptation options to improve crop resource use efficiencies. Read moreRead less
Improving heat and drought tolerance in canola through genomic selection in Brassica rapa. This project aims to improve heat and drought tolerance in canola by identifying stress tolerance genes in the genetically diverse turnip family. An effective large-scale screening test for heat and drought tolerance will be developed and a number of heat- and drought-tolerant lines will be identified for genomic breeding and selection.
Enhancing Genomic Prediction for Changing Environments in Wheat. Adverse weather is the primary risk faced by the Australian agriculture industry. This Project aims to develop the next generation of agriculture tools to unlock natural potential in wheat and improve yield stability across seasons and regions. Drawing on crop physiology, genetics and integrated modelling, this Project expects to generate new knowledge and technologies to untangle genetic and environmental interactions that affect ....Enhancing Genomic Prediction for Changing Environments in Wheat. Adverse weather is the primary risk faced by the Australian agriculture industry. This Project aims to develop the next generation of agriculture tools to unlock natural potential in wheat and improve yield stability across seasons and regions. Drawing on crop physiology, genetics and integrated modelling, this Project expects to generate new knowledge and technologies to untangle genetic and environmental interactions that affect productivity, enhance predictive capability, and initiate advanced breeding strategies to develop new crop varieties with superior resilience against changing climates. This should provide significant benefits, such as profit stability for wheat growers, elevated global market position and improved food security.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101407
Funder
Australian Research Council
Funding Amount
$447,524.00
Summary
Revealing and navigating a path to climate-ready crops. This project aims to investigate how well multi-dimensional biological and environmental data can be integrated to improve the prediction of plant performance under climatic fluctuations. This project expects to generate new knowledge in the area of quantitative genetics using an approach that combines trans-disciplinary research fields. Expected outcomes of this project include an example for how to advance conventional prediction methods ....Revealing and navigating a path to climate-ready crops. This project aims to investigate how well multi-dimensional biological and environmental data can be integrated to improve the prediction of plant performance under climatic fluctuations. This project expects to generate new knowledge in the area of quantitative genetics using an approach that combines trans-disciplinary research fields. Expected outcomes of this project include an example for how to advance conventional prediction methods using fundamental biological models that underlie plant growth. This will provide significant benefits, such as an enhancement of collaborative research across areas with the potential to significantly advance the general understanding of how plants interact with the environment.Read moreRead less