Syngenta to Release Limited Amount of Matador in Western Canada

Apr 26, 2023

Syngenta Canada has decided it will release limited amounts of Matador 120EC and Voliam Xpress insecticides in Western Canada for the 2023 growing season, an April 21 news release said. The insecticides will be marketed with a focus on horticulture and pulse crops. They will also be available in Eastern Canada with a focus on horticulture crops.

The release noted this distribution decision is in response to the Pest Management Regulatory Agency (PMRA) re-evaluation of lambda-cyhalothrin, the active ingredient in Matador 120EC and Voliam Xpress. As of April 29, 2023, crops treated with lambda-cyhalothrin can’t be fed to or grazed by livestock in Canada, including any harvested grain, seed screenings, hay/forage/silage, by-products, or aftermath.

“We want to ensure we are supporting as many growers as possible during the upcoming growing season in protecting their crops from forecasted pest pressure while being compliant with the label’s feed restrictions,” Duane Johnson, head of sales for Syngenta Canada, said in the release. “Based on available market statistics and discussions with industry associations, the majority of horticulture and pulse crops are used for human consumption.”

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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.