AgriRecovery details announced for Saskatchewan

Oct 23, 2023

Today, Agriculture and Agri-Food (AAFC) Minister Lawrence MacAulay and Saskatchewan Agriculture Minister David Marit announced details of Saskatchewan’s AgriRecovery Program, now referred to as the 2023 Canada-Saskatchewan Feed Program. Starting next week, producers can begin to submit applications to the Saskatchewan Crop Insurance Corporation (SCIC).

This Program covers 70% of extraordinary costs related to feed and freight, incurred after May 1, 2023, through to the application deadline of March 1, 2024. Program funding will provide eligible producers an initial payment up to $150 per head to help maintain the breeding herd in the drought regions. Based on available funding, additional payments will be issued to program participants. Eligibility is area specific, guided by the Canadian Drought Monitor. Producers will need to submit their receipts or appropriate documents for the extraordinary expenses. Eligible extraordinary expenses include purchased feed, self-hauling or transportation costs for feed or breeding animals and/or land rented for additional grazing acres or additional feed production. Eligible animal species include beef cattle and other grazing animals, limited to bison, elk, deer, sheep, goats and horses. This program is designed to help retain breeding stock. Breeding animals include females and males of the reproductive age of the species. A Saskatchewan Premises Identification (PID) is required to be eligible for the program.

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Video: Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

Plant breeding has long been shaped by snapshots. A walk through a plot. A single set of notes. A yield check at the end of the season. But crops do not grow in moments. They change every day.

In this conversation, Gary Nijak of AerialPLOT explains how continuous crop modeling is changing the way breeders see, measure, and select plants by capturing growth, stress, and recovery across the entire season, not just at isolated points in time.

Nijak breaks down why point-in-time observations can miss critical performance signals, how repeated, season-long data collection removes the human bottleneck in breeding, and what becomes possible when every plot is treated as a living data set. He also explores how continuous modeling allows breeding programs to move beyond vague descriptors and toward measurable, repeatable insights that connect directly to on-farm outcomes.

This conversation explores:

• What continuous crop modeling is and how it works

• Why traditional field observations fall short over a full growing season

• How scale and repeated measurement change breeding decisions

• What “digital twins” of plots mean for selection and performance

• Why data, not hardware, is driving the next shift in breeding innovation As data-driven breeding moves from research into real-world programs, this discussion offers a clear look at how seeing the whole season is reshaping value for breeders, seed companies, and farmers, and why this may be only the beginning.