Feed often the culprit in disease cases

Nov 21, 2022

Producers are reminded to be careful this winter when choosing alternative or new feeds and are urged to test their feed

What could kill eight cows within 10 minutes?

That is one mystery the Western College of Veterinary Medicine’s disease investigation unit faced last winter.

Dr. John Campbell, a long-time professor and head of the unit, said he had never seen a situation like that.

“It was a bunch of cows dying suddenly in a cow-calf herd where the producer got a new delivery of some flax screenings,” he said during an October Saskatchewan Agriculture webinar.

The screenings had come from a local seed grower, and Campbell said the producer fed six pails to 40 cows.

“Within five minutes it was pretty obvious something was wrong. A lot of these cows began to show clinical signs. They went down, weak in their back legs, twitching their eyelids.

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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.