Grains Research and Development Corporation
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Affiliation
Research
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- ANU00025 - Using next generation approaches to exploit phenotypic variation in photosynthetic efficiency to increase wheat yield°.
- ANU00027 - Improving yield by optimising energy use efficiency°.
- Applying machine learning to improve genetic gain delivered from genomic selection in plant breeding
- Australian Cereal Rust Control Program (ACRCP) - CSIRO: Delivering genetic tools and knowledge required to breed wheat and barley with resistance to leaf rust, stripe rust and stem rust.
- Australian Cereal Rust Control Program (ACRCP) - University of Sydney: Delivering genetic tools and knowledge required to breed wheat and barley with resistance to leaf rust, stripe rust and stem rust.
- Australian Cereal Rust Control Program - Continued monitoring of cereal rust pathogens in Australia
- Australian Cereal Rust Control Program - Novel sources of stem rust resistance from uncultivated wild relatives of wheat.
- CFF00009 - Molecular markers for root hair traits and enhanced phosphorus use efficiency (PUE) in wheat°.
- CFF00011 - Improving farming system efficiency in southern NSW
- CSE00059 - New knowledge to improve the timing of pest management decisions in grain crops°
- CSIRO - UNDERSTANDING CONSTRAINTS TO CROP PROFITS ON HIGHLY CALCAREOUS SOIL
- CSP00168 - Photosynthesis Traits for Raising Wheat Yield Potential°.
- CSP00175 - Maintaining wheat grain number under reproductive-stage drought conditions.
- CSP00182 - Genetically improving wheat's ability to outcompete weeds.
- CSP00193 - 2015.01.09B - Novel approaches against LMA - Knockout
- CSP00199 - Validation trials for dwarfing genes, vigour x management interactions, and preliminary assessment of rate of grain-filling.
- CSP00202 - Identification of wheat frost tolerance loci using a combination of genetics, biochemistry and molecular approaches.
- CSP00205 - A genetic diversity toolkit to maximise harvest index by controlling the duration of developmental phase: IWYP CSIRO.
- CUR00026 - Statistics for the Australian Grains Industry (SAGI): Western Node
- Capturing global diversity and international genetic gains of wheat and barley.
- CropPhen: Remote mapping of grain crop type and phenology.
- DAQ00196 - Delivery of Improved Invertebrate Pest Management in the Northern Grains region.°
- DAQ00208 - Statistics for the Australian Grains Industry - Northern Node
- DAQ00211 - Quantifying the effectiveness of cover crops as a means of increased water infiltration and reduced evaporation in the northern region
- DAV00127 - Using next-generation genetics to accelerate variety improvement in bread wheat, durum and barley.
- DAV00144 - Cereal and Pulse cultivar resistance ratings for the Southern region.
- DAW00245 - Yield loss response curves for host resistance to leaf, crown and root diseases°.
- DAW00247 - Improved genetic solutions for management of yellow spot in wheat°.
- DAW00248 - Effective genetic control of Stagonospora nodorum blotch°.
- DAW00249 - TACTICAL WHEAT AGRONOMY FOR THE WEST°.
- DAW00256 - Building Crop Protection and Production Agronomy R&D Capacity in regional Western Australia
- DEP00002 - Push Notifications to enable proactive management of pests, weeds and diseases°
- Deep Learning for early detection and classification of crop disease and stress
- Disease epidemiology and management tools for Australian grain growers.
- Disease management strategies in broadacre grain crops for South Australia.
- Durum Crown Rot benchmarking for improved grower access to durum varieties with greater Crown Rot resistance.
- Frost SENSE: An integrated modelling framework to rapidly map the extent of stem and reproductive frost damage in wheat and barley.
- Future options for the control of RLEM in Australian grain crops
- Grains Sector GHG Baseline and Mitigation Project
- Herbicide options for the management of emerging summer grass weeds in winter cereals.
- INVITA - A technology and analytics platform for improving variety selection.
- Identification, surveillance and advisory platform for management of grains pests
- Improved sampling methods to better predict nutrient availability and supply for soils in the Western region
- Increased grower profitability on soils with sodicity and transient salinity in the eastern grain belt of the Western Region.
- Increasing profit from N, P and K fertiliser inputs into the evolving cropping sequences in the Western Region
- Integrated disease management in western region grain crops.
- Integrated disease management strategies for southern region cereal and pulse growers.
- LMA Project A – Improved Phenotyping For Late Maturity Alpha-Amylase (LMA) Susceptibility In Wheat.
- LMA Project B – A novel high-throughput, low-cost test to determine cause of starch damage in wheat grain.
- LMA Project C – An improved model of Late Maturity alpha-Amylase (LMA) field risk in Australian wheat.
- MCM00003 - Strategic oversight and coordination of grain protection chemicals°
- Machine learning to extract maximum value from soil and crop variability
- Machine learning to map soil constraint variability and predict crop yield
- Manipulation of stomata to increase yield potential in wheat (IWYP collaboration).
- Maximising The Uptake Of Phosphorus By Crops To Optimise Profit In Central And Southern NSW, Victoria And South Australia
- NVT Pathology
- NVT Statistics.
- NVT winter crop Trial Service Provision.
- Northern Australia Agronomy
- Novel suppression and resistance management of invertebrate pests
- Nutrient re-distribution and availability in ameliorated and cultivated soils in the Western Region