Saskatchewan Calls for AgriRecovery Assessment Amid Drought

Jul 20, 2023

The Saskatchewan government is seeking further help for its drought-hit livestock producers.

A release from the province Tuesday said Agriculture Minister David Marit has formally requested the federal government conduct an AgriRecovery assessment to determine what assistance could be provided to livestock producers faced with prolonged dry conditions. AgriRecovery forms the basis by which federal and provincial governments work together to assess the impacts of disasters on agricultural producers and respond with joint initiatives where there is need for assistance beyond what is available through existing risk management programs.

"Many producers across Saskatchewan are facing extraordinary costs to ensure their animals are taken care of. We need to move quickly to consider all relief options, including an AgriRecovery assessment to help producers deal with the challenges brought about by drought," Marit said.

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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.