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Grain Market Guru Dr. Kim Anderson Shares Both The Good And The Bad News For Wheat Growers

 
Oklahoma State University Extension Grains Market Analyst Dr. Kim Anderson talks wheat prices with SUNUP's Lyndall Stout this week- this time sharing both some good and bad news for producers.
 
Starting with the bad news, Dr. Anderson points out that collectively, world wheat supplies are some of the highest they’ve ever been with world totals coming in at 9.2 billion bushels.
 
This year, the US could see a threat to its trade channels as export markets will be flooded with excess grain stocks. The former Soviet block countries are projected this year to export approximately 2 billion bushels; 1.1 billion of that contributed by Russia alone, securing the nation’s place as the current No. 1 exporter in wheat. The US is projected to export under that at 975 million bushels.
 
The good news is, India has suffered poor crops two years in a row now and are heavily ramping up their imports. In addition, although HRW exports were relatively low for the US last year, exports are actually up 91 percent. Plus, Dr. Anderson reports that over the last month, wheat prices have seen a bump of $0.34, which he finds very encouraging. His advice to producers though, remains stuck on the same message as it has for several weeks now.
 
“Raise a quality product,” he says. “If you have a product quality that the millers want to buy, our prices will go up.”
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Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

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.