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Farmers looking at quick melt as unseasonable warmth spreads across prairies

With many areas looking at above-20-degree temperatures, farmers will see any remaining snowpack leave soon.

That's the consensus among weather forecasting services, which are forecasting a strong westerly flow across the prairies.

Alberta has been the odd province out as it's had less snow to keep things cold compared to Saskatchewan or Manitoba, but that's set to equal out soon.

The combined melting will be good for farmers, so long as more moisture isn't coming down, says Weatherlogics CEO Scott Kehler.

"I think with the way things are playing out now It's pretty good for farmers. They've got a decent snowpack so that will help get them some spring moisture. Then assuming that we don't get any significant rain events in April or May, it'll probably be fairly normal seeding dates in general, so looks like a better start to the year as opposed to last year, which was delayed in many areas."

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

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.