Canadian agricultural groups draft letter asking for reversal of federal capital gains increase

Jun 07, 2024

The latest Canola Watch newsletter reminds producers to monitor fields regularly for insect and disease issues.

There have been increasing reports of cutworm feeding activity, with some canola reseeding in parts of the Prairies.

If farmers see significant numbers or activity, they are asked to send the cutworm species identification to the Prairie Pest Monitoring Network in their location.

Flea beetles are another insect that should be on the radar for canola producers.

Flea beetles have also been reported sporadically in volunteer canola and, to a much lesser extent, in seeded canola.

Cool-weather and slow-growing canola could mean the seed treatment runs out before the canola is big enough to withstand feeding.

Growers are advised to wait to spray until the action threshold is near to take action, even though there may be pockmarks on cotyledons.

And just a note that diamondback moth levels are moderate so producers should be scouting regularly.

Source : Pembinavalley online

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.