Syngenta Launches New Cereal Herbicide Talinor for 2024 Growing Season

Oct 20, 2023

Syngenta Canada has launched Talinor, a post emergent cereals herbicide that has a differentiated active ingredient to manage difficult broadleaf weeds, including herbicide resistant weeds, an Oct. 16 news release said.

It is premix liquid formulation of bicyclopyrone and bromoxynil that can be used on spring wheat, durum wheat, and barley, the release said. Talinor has an application range from the two leaf stage through to six leaf three tiller.

“Talinor is an excellent addition to the Syngenta cereals herbicide portfolio because of its reliable control, fast acting performance, and wide application window on both crop and weeds,” Donavan Baer, cereal herbicide product lead with Syngenta Canada, said in the release. “With Talinor, we see an efficient knockdown of broadleaf weeds within a few days of application.”

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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.