Introduction
Please complete the following form to the best of your ability. Brevity and clarity are appreciated; point form is welcome.
Expected timeline for submission
- The deadline for this Letter of Intent submission is November 23, 2025.
- Successful applicants will be notified to attend one on one meetings with the FaRM team in November/December.
- Successful applicants will be invited to submit Full Proposals between December 8, 2025 - January 18, 2026.
- All applications must be submitted through the online portal by midnight on January 18, 2026.
- Our goal is to notify successful applicants by March 6, 2026
Contact
The FaRM team will be offering a Question & Answer information session on November 6th. English 12 ET, French 3 ET.
Should you have any questions or wish to discuss trial design, please reach out to Taryn Dickson, FaRM Agronomy Program Manager - Prairies, at taryn@farmersforclimatesolutions.ca with the subject line ‘Field trials design inquiry’.
RFP information
Information about this Request for Proposals can be found online here. A document version of the form is also available for download on that site page. This is provided as your working copy. All final applications need to be submitted via the online form.
Criteria to advance from Letter of Intent to Full Proposal
The FaRM team agronomists and scientific advisors will review the Letters of Intent and will compare them to the following criteria when deciding which projects to invite to the Full Proposal stage.
- It is a producer inspired and co-led project
- It clearly defines a producer-focused barrier to the adoption of cover crops, nitrogen management, or rotational grazing
- The project will likely result in improved adoption of BMPs and reduction of greenhouse gas emissions.
- It clearly details experimental design showing scientific rigour and clearly defines treatments with a control.
- E.g. Replicated trials will be weighted more favourably than split-field trial design.
E.g. A trial measuring multiple key response variables (e.g. yield, percent cover, feed quality, etc.) will be weighted more favourably than a trial that only measures one response variable.