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Ag sector watches for fallout from India-Canada spat

The chief executive officer of a major Canadian pulse buyer and exporter said Sept. 21 he is closely watching political developments between Canada and India.

Murad Al-Katib from AGT Foods told reporters in Regina that waiting and watching is about all the agriculture sector can do right now. He said geopolitical risks are a major part of the industry, but he’s confident that once the political issues are resolved the long-term partnership between the two countries will continue.

“We have arable land and water that India doesn’t have. We have farmers that are able to produce at scale, at the lowest cost and highest quality, and India needs the food, so from that perspective we’re optimistic that politics will remain politics,” he said, adding that ensuring people have access to food is the most relevant political issue.

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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.