Canola Council of Canada's "4R Advantage" program help growers recover costs

Oct 19, 2022

As harvest wraps up farmers are turning their attention to other tasks, like soil testing.

Testing in the fall can give farmers more time in the Spring when they are trying to get the crop in.

It also helps with purchasing plans, like buying fertilizer now, before the price increases in the Spring.

Canola Council of Canada Agronomy Specialist Warren Ward says soil testing is a way for growers to determine just what nutrients are in the soil.

"It's always good to know how much is left in there. So, that when you are planning for next year you can know that maybe you don't need to apply the full rate, that you would have without that carryover. In other areas where yield was more normal, or they hit their yield target. Chances are there's going to be less nutrient reserves left in that soil."

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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.