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Top quality genetics on display for Agribition all-breed competition

There was some tough competition in the show ring yesterday for Agribition's First Lady Classic a yearling bred heifer all breed  competition.

Justin Van de Woestyne from Benson, Sk was part of the judging panel and says he feels the show was one of the toughest and most competitive bred heifer shows in Western Canada if not the country.

"I think we all know the amount of work time effort the years of planning that goes into these genetics and what a what an absolute accomplishment it is not only to be here at the show but to be here in this ring."

The Reserve Grand Champion Female was a Polled Hereford from Haroldsons Polled Herefords and River Valley Polled Herefords.

The Grand Champion Female was a Simmental heifer from KT Ranches at Cherryville, BC

On the other side of the arena was the President's Classic an all-breed bull calf jackpot.

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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.