CN Rail Says Grain Starting To Flow After Tough Harvest

Nov 19, 2018

Grain availability has been a concern this shipping season.

Rail customers have self-cancelled almost eight thousand orders for CN supplied equipment through the first 14 weeks of the crop year.

David Przednowek is the company's director of grain marketing.

"There was capacity to move more grain earlier in the year but there just wasn't enough of a flow of grain to let that happen," he said. "Now that's starting to hit, most of the harvest is done, that demand is really trying to spike now to cover those exports sales. But there's a limit to what the supply chain can handle on a weekly basis, so it's hard to play catch up. As it stands through October, we are on a record pace."

Przednowek says last month the company reported its second best October on record.

He was a guest speaker last week at the Grain World Conference in Winnipeg.

Source : Steinbachonline

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.