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.
Exploring genetic diversity to identify new heat tolerance genes in wheat. This project aims to improve the selection and development of heat-tolerant wheat varieties. Heatwaves seriously reduce wheat yields worldwide, and the situation will worsen with climate variation. This project aims to apply a broad genetic scan to identify the main chromosome regions controlling heat tolerance at the sensitive flowering stage in Australian and European wheat varieties. It is expected that this knowledge ....Exploring genetic diversity to identify new heat tolerance genes in wheat. This project aims to improve the selection and development of heat-tolerant wheat varieties. Heatwaves seriously reduce wheat yields worldwide, and the situation will worsen with climate variation. This project aims to apply a broad genetic scan to identify the main chromosome regions controlling heat tolerance at the sensitive flowering stage in Australian and European wheat varieties. It is expected that this knowledge will deliver crucial breeders’ tools to select heat-tolerant varieties. The project also aims to identify genes most likely to control tolerance at these chromosome locations using gene expression profiling data, trait associations and knowledge of heat-tolerance genes from other species. It is expected that these genes will reveal molecular mechanisms of heat tolerance and create new opportunities to engineer superior levels of tolerance in cereals.Read moreRead less
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
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