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Pummelled by hail: The onslaught of erratic weather is real

If farmers think the weather was erratic this year, data says they’re right.

Earlier this summer, the Co-operator reported that farmers in the Rivers area were pummeled with near-apocalyptic hail. Weeks later, they’d been hit again. At the time, hail claims in Manitoba had already exceeded the total number of claims last year.

Why it matters: Weather is always a popular topic of conversation among farmers and this year, there’s been a lot to talk about.

Hail numbers have climbed since then.

The “white combine” visited fields again in the penultimate week of August. As of Aug. 28, the Manitoba Agricultural Services Corporation reported 1,830 hail claims, including 174 from the spate of storms just days before. Over the five years before 2023, claims averaged 1,280 a year.

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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.