Canola Prices To Take Slight Downturn In 2017, Says Market Analyst

May 29, 2017

A market analyst says Saskatchewan farmers can expect a small downturn in canola prices in 2017.

Neil Townsend with FarmLink Marketing Solutions predicts a record-seeded canola acreage this year, which could have an impact on prices.

“The price outlook for canola is down year on year, but still relatively healthy,” said Townsend. “We’re looking at, in central Saskatchewan, an average price of around $10.75 to $11 per bushel for the 2017-18 marketing year.”

He added that there are concerns about world wheat supplies, including the U.S. planting intentions.

“We’ve got the protein story in North America and we’ve got that global corn stock lower than expected,” explained Townsend. “Wheat stock is also projected lower in the eight major exporters’ cumulative.”

Townsend said he doesn’t think the jump is too great at the moment, but added that some form of significant weather failure would push prices upward.

Source : CKRM

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.