Corn Refiners Association: FDA “Healthy” Ruling Is A Step In The Right Direction

Sep 29, 2022

In reaction to the new proposed rule by the Food and Drug Administration (FDA), Corn Refiners Association (CRA) President and CEO, John Bode, issued the following statement:

“We are pleased to see FDA included added sugars as a nutrient of concern impacting the ability to use a ‘healthy’ claim in its proposed rule. Even though our industry is a major supplier of sugars, we do not encourage increased consumption as current nutrition research indicates a strong causal correlation with negative health outcomes. The scientific evidence and consumer expectations align: high-sugar foods should not be promoted as ‘healthy.’

However, the FDA missed a powerful opportunity to empower American consumers by making its food labeling more transparent. While FDA pointed to ‘healthy’ being conflated with non-nutrition factors in the proposed rule, we believe FDA can do more to educate consumers on what the term means.

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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.