Manitoba is Aboard the “No Carbon Tax” Train

Oct 05, 2018

Calgary, AB — The Western Canadian Wheat Growers is pleased that one more province has rejected the proposed federal carbon tax. Manitoba has listened to its citizens across the province and opposed federal interference.

“The Wheat Growers Association has argued for years that a tax on food production will hurt farmers, take away from our narrow margins, and cost consumers more in the long run”, stated Gunter Jochum, Director.

Manitoba joins Saskatchewan, Ontario and PEI in opposing the federal carbon tax program. Farmers care for their land and the crops they produce, creating a huge carbon sink for which they should be recognized and rewarded.

“We have heard from thousands of farmers from across Alberta, Saskatchewan, and Manitoba that have voiced their concern and opposition to a carbon tax. It is good that our elected officials are hearing and recognizing these very real concerns”, said Levi Wood, President.

Source : Western Canadian Wheat Growers

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.