Atom Grants
Discover
  • Dashboard
  • Search
  • Deep Research
  • Favorites
  • Projects

    Rapid Agricultural Response Fund

    Internal — Minnesota Agricultural Experiment Station only

    Rapid Agricultural Response Fund supports University of Minnesota researchers studying urgent threats to address challenges facing Minnesota’s agricultural and natural resource industries.

    OverviewSimilar Grants
    OverviewSimilar Grants

    This grant was recently updated

    Proposals are now being accepted for the FY28/29 biennium. Full RFP details are available on the MAES intranet.

    Funder: Minnesota Agricultural Experiment Station

    Due Dates: FY28/29 proposals being accepted; see internal RFP for deadlines

    Funding Amounts: Approximately $2 million awarded across 10 projects for FY26/27 (historical funding)

    Summary: Supports University of Minnesota research responding to urgent challenges facing Minnesota’s agricultural and natural resource industries.

    Key Information: Open only to University of Minnesota researchers; applications are administered through the MAES intranet.


    Description

    The Rapid Agricultural Response Fund (RARF) supports research addressing urgent issues and emerging threats facing Minnesota’s agricultural and natural resource industries. First authorized by the Minnesota legislature in 1998, the fund is overseen by the Minnesota Agricultural Experiment Station (MAES). Projects are awarded every two years.

    Supported work has addressed crop pests, herbicide-resistant weeds, poultry and livestock diseases, and natural resource challenges. Research has included soybean aphid, emerald ash borer, spotted wing drosophila, chronic wasting disease, and influenza in livestock. Recent projects also examine fertilizer contributions to groundwater nitrate challenges, high-oleic soybeans as livestock feed, and the spread of noxious weeds through manure.


    Atom

    See the full grant listing

    Sign in to view full eligibility details, sources, similar grants, and AI-powered analysis.