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Alberta Pulse Growers Invest $3 million to Reduce Root Rot Risk

The Alberta Pulse Growers Commission (APG) are investing $3 million over five years for research projects that reduce the risk of root rot, an April 4 news release said.

“APG has invested in root rot research projects since the disease became an issue 10 years ago. This research resulted in more being known about the disease, but root rot remains a threat that we need to mitigate for our farmers,” Shane Strydhorst, APG chair, said in the release.

The release noted APG first learned about pathogen Aphanomyces eutiches in 2013, and it was immediately identified as a serious threat to pulse production in Alberta. Since then APG has invested $3.7 million in projects relevant to root rots, including more than $2 million for projects directly aimed at root rots.

“Significant effort has been made to understand the disease, correctly diagnose it and address the intricacies of the complex interaction between plant, pathogen and environment. Research has resulted in farmers having the knowledge to better assess the risk, but there haven’t been any significant breakthroughs for farmers who want to plant pulses for the crop’s economic and sustainability benefits,” the release said.

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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.