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Wheat Growers Praise Portman And Heitkamp For Introduction Of The Regulatory Accountability Act

Wheat Growers Praise Portman And Heitkamp For Introduction Of The Regulatory Accountability Act
 
The National Association of Wheat Growers (NAWG) applauds Senators Rob Portman (R-Ohio) and Heidi Heitkamp (D-North Dakota) for introducing The Regulatory Accountability Act (RAA) of 2017.
 
The RAA amends the Administrative Procedure Act (APA) to increase accountability and transparency in the federal regulatory process and codifies the bipartisan regulatory process established under Executive Order 12,866. This bill will also make sure federal agencies balance regulatory costs and benefits when developing new rules or changing existing regulations, and it provides stakeholders more opportunity to get involved earlier in the regulatory process.
 
NAWG President David Schemm made the following statement:
 
“Wheat producers continue to face an ever-tightening maze of regulations which can be taxing and difficult to navigate. Overzealous regulations can place unnecessary burdens on farmers and hinder their ability to carry out the day-to-day operations, which can marginalize their profits and become costly for taxpayers. 
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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.