Manitoba Pulse And Soybean Growers Hosts 2017 AGM At CropConnect

Feb 16, 2017

Manitoba Pulse and Soybean Growers kicked off CropConnect 2017 Wednesday with their annual general meeting.

Chair Jason Voth said it was a mixed-bag for growers this past year with moisture creating problems in many parts of the province.

The group is supportive of a soybean crushing facility coming to Manitoba, however Voth said it won't be at growers' expense. It must be a private company that makes the investment. He added the recent announcement of a pea processing plant being built in Portage is positive for the industry and the economy as a whole.

Voth talked about the need to study and improve rotations, especially in the Red River Valley.

“We don't want to have a situation where you grow too many soybeans, and then you get disease or insects or some sort of pressure and you can't grow soybeans again...We need to work with all the other groups to find out what crops in our rotation are the best crops for the whole farm."

Source : Portageonline

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.