GRDC Investments

Investments

Welcome to our investments. We invest in Research, Development and Extension (RD&E) to create enduring profitability for Australian grain growers.

Here you will find active investments, and investments completed after 1 January 2020 from our RD&E portfolio. Some investments will display related communication and extension activities, and other associated outputs.

Please let us know what you think as we welcome any feedback.

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Region

North South West
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Status

Active Completed

Interest Area

National Grower Network Pre-breeding

Investment list

Results found: 561 - 570 of 823 search results

  • GRDC Code: DAQ2005-004RTX
    Program 4: Minimising the impact of major barley foliar pathogens on yield and profit: Screening of elite breeder material transitioning to …
    Industry access to a reliable, high-throughput disease screening capacity is a critical component of any effort to breed effectively to counter the impact of the three barley pathogens, Pyrenophora teres f. maculata, the causal agent of the spot…
    Project start date:
    01/03/2020
    Project end date:
    28/02/2024
    Crop type:
    • Barley, (Cereal)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: UOA2003-008RTX
    Program 2: Minimising the impact of major barley foliar pathogens on yield and profit: Surveillance and monitoring of pathogen populations…
    The barley foliar diseases, scald (Rhynchosporium secalis), the net form of net blotch (NFNB, Pyrenophora teres f. teres) and the spot form of net blotch (SFNB, P. teres f. maculata) are caused by three highly variable fungal pathogen populations…
    Project start date:
    01/03/2020
    Project end date:
    28/02/2024
    Crop type:
    • Barley, (Cereal)
    Region:
    North, South, West
    status icon Active Project Status: Active
  • GRDC Code: DJP2003-011RTX
    Program 1: Minimising the impact of major barley foliar pathogens on yield and profit: Development of international host differential sets.
    The development and maintenance of international host differential sets is a key resource for identifying new virulent pathotypes in the field and identifying novel sources of genetic resistance. This program aims to work and collaborate…
    Project start date:
    01/03/2020
    Project end date:
    01/03/2024
    Crop type:
    • Barley, (Cereal)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: CSP2002-006RTX
    Frost SENSE: An integrated modelling framework to rapidly map the extent of stem and reproductive frost damage in wheat and barley
    Frost risk occurs virtually every year across southern and eastern Australian agricultural regions. Actual occurrence of frost is determined by location and landscape factors as well as climate. This project aims to demonstrate the capability of…
    Project start date:
    28/02/2020
    Project end date:
    30/01/2024
    Crop type:
    • Wheat, (Cereal)
    • Barley, (Cereal)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: UOS2002-001RTX
    SoilWaterNow: Soil water nowcasting for the grains industry
    This project will deliver a scientific framework to nowcast plant available water (PAW) at any point in time, within and across paddocks and at multiple depths in the soil profile so that growers can have access to innovative products for…
    Project start date:
    28/02/2020
    Project end date:
    30/05/2025
    Crop type:
    • All Crops, (All Crops)
    Region:
    North, South, West
    status icon Active Project Status: Active
  • GRDC Code: CRO2002-001SAX
    Optimal nutrition packages for renovated cemented lateritic gravels to increase farm profitability
    This investment aims to boost grower and adviser confidence in nutrition decisions on renovated cemented gravel soils. This will be achieved through successful extension of the outcomes of an initial comprehensive soil testing survey, followed by a…
    Project start date:
    27/02/2020
    Project end date:
    31/03/2023
    Crop type:
    • All Crops, (All Crops)
    Region:
    West
    status icon Completed Project Status: Completed
  • GRDC Code: UOA2002-007RTX
    Machine learning to extract maximum value from soil and crop variability
    The yields of major crops in Australia are often below their water-limited potential. A reason for this is the complexity of Genotype x Environment x Management (GxExM) interaction, which results in crop growth with high variability. This project…
    Project start date:
    24/02/2020
    Project end date:
    30/06/2022
    Crop type:
    • Wheat, (Cereal)
    • Barley, (Cereal)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: UOQ2002-010RTX
    CropPhen: Remote mapping of grain crop type and phenology
    This project aims to develop a software-based tool to remotely map crop type (wheat, barley, chickpea, lentils, sorghum and mungbean) and development stage at the sub-paddock scale. The project will combine remote sensing, crop simulation modelling, …
    Project start date:
    24/02/2020
    Project end date:
    30/06/2024
    Crop type:
    • Barley, (Cereal)
    • Sorghum, (Cereal)
    • Wheat, (Cereal)
    • Chickpeas, (Legume)
    • Lentils, (Legume)
    • Mungbeans, (Legume)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: UOS2002-003RTX
    Identifying a machine learning approach to weed recognition in Australian grain production systems
    The project will create an open source weed image library to make weed recognition data freely available to the weed control industry. This will provide a path to market for weed recognition technologies that can make use of the database. The…
    Project start date:
    17/02/2020
    Project end date:
    16/02/2021
    Crop type:
    • All Crops, (All Crops)
    Region:
    North, South, West
    status icon Completed Project Status: Completed
  • GRDC Code: UOS2002-002RTX
    Machine learning to map soil constraint variability and predict crop yield
    This project will use a variety of Machine Learning techniques to bring together previously underutilised on-farm, satellite, and weather data and better predict expected crop outcomes. Tools to map fine-scale 3D-variability of agronomically…
    Project start date:
    17/02/2020
    Project end date:
    31/10/2021
    Crop type:
    • Wheat, (Cereal)
    Region:
    North, South, West
    status icon Completed Project Status: Completed