Syngenta Canada adds Captan L fungicide to its hort portfolio

Dec 04, 2024

A broad-spectrum Group M fungicide
Convenience of a liquid formulation
Essential part of a resistance management program

Syngenta Canada Inc. is pleased to announce the addition of Captan L fungicide to the Canadian horticulture lineup.

Captan L, which contains the broad-spectrum fungicide Captan, can be used across many Canadian horticulture crops, working well in rotation with other Syngenta fungicides as part of a strong resistance management program.

Captan is an essential resistance management tool for single site fungicides when battling medium and high-risk pathogens such as late blight, apple scab and Botrytis. Adding Captan L to the Syngenta portfolio underscores the ongoing commitment by Syngenta to foster resistance management expertise across several Canadian crops.

Captan L will be sold as a liquid formulation in 2 x 10 L case for a simple and streamlined application experience over a water-soluble powder.

Source : Syngenta.ca

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.