PA Farmers Urged to Minimize Manure Input on Fields During Winter

Feb 18, 2025

By Danielle Smith

Winter in Pennsylvania brings farmers not only snow and freezing temperatures but stricter manure-spreading regulations to minimize water pollution.

Putting manure on farm fields is discouraged during winter months or when the ground is snow-covered or frozen at least four inches deep.

Robert Meinen, assistant research professor and extension specialist at Pennsylvania State University, said manure can provide essential nutrients to crops and reduce fertilizer costs but the nutrients have to stay in the fields to maximize their value and not run off into waterways.

"One of the drawbacks is, and the trade-off is, that we have to be careful because we also have environmental risk -- in particular, nitrogen and phosphorus -- if they get into surface water or groundwater, can cause pollution," Meinen explained.

Meinen pointed out in Pennsylvania, farms fall into different categories, including concentrated animal feeding operations, which the Environmental Protection Agency defines based on animal numbers and manure output. The large-scale operations face stricter federal oversight but the state's winter manure laws apply to all farms.

Meinen noted farmers applying manure in winter must follow strict guidelines, including Manure Management Plan requirements. He added winter applications require more conservative measures than in warmer weather, from lower application rates to field slope limitations.

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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.