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U.S. Court Tosses Trump-Era Rule Expanding Sales of Corn-Based Ethanol

A federal appeals court on Friday struck down a U.S. rule put in place under former President Donald Trump to expand sales of corn-based ethanol, drawing ire from farm and biofuel groups that vowed to work to ensure that such sales continue.

The U.S. Court of Appeals for the District of Columbia Circuit ruled that the Environmental Protection Agency (EPA) exceeded its authority by lifting summertime restrictions on the sale of a 15% ethanol fuel blend known as E15. The decision came in a lawsuit by an oil refining trade group challenging the rule.

The EPA in 2019 extended a waiver that allowed year-round sales of E15. Ethanol producers cheered that move, as it would allow expanded sales of the blend.

The American Fuel and Petrochemical Manufacturers (AFPM), which sued the EPA, welcomed the D.C. Circuit’s ruling.

“There is no ambiguity in statute and the previous administration’s reinterpretation overstepped the will of Congress,” AFPM President Chet Thompson said in a statement.

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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.