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Protecting the Bay Means Supporting Farmers as They Explore New Solutions

By BARB GLENN

A drive over the Chesapeake Bay Bridge will have anyone wanting to protect its beauty. No one feels this more deeply than the farmers and communities up and down the Bay.

For decades, these farmers have been stuck between responding to economic forces to increase production while trying to ensure farm sustainability and prioritize water quality. Despite significant progress, it’s estimated that nearly half of the nitrogen reaching the Bay today comes from farms in the Chesapeake watershed – the largest estuary in the United States, with shared responsibility for nutrient management across several states.

Farmers have long relied on synthetic nitrogen fertilizers, which provide a major source of nutrients to grow their crops, but at a cost to the environment. Given the complexity of managing nutrients to protect the Bay, it is time for farmers to have all available tools at their disposal and new crop nutrition technologies are gaining their attention.

Biostimulants are made up of natural materials that enhance the uptake of nutrients in the plant. Geomaterials are naturally occurring minerals that have been shown to improve nutrient use. Biologicals like microbial nitrogen help plants create their own nitrogen and replace a portion of synthetic fertilizers. New crop nutrition options have the potential to stem the tide of nitrate pollution and achieve our nutrient goals for the Bay.

Researchers estimate that meeting nutrient targets would require taking almost half of the region’s roughly 8.2 million acres of farmland out of production or instituting other, similarly dramatic actions. These radical ideas would almost certainly hurt local farm income and negatively impact our region’s ability to contribute to the wider food supply. They are neither practical nor realistic.

More on-farm research is needed, but microbial nitrogen is one promising tool that can offer an effective solution for farmers. This crop nutrition tool may enable farmers to replace about a quarter of synthetic nitrogen needs per acre, without sacrificing yield, and may improve water quality over time.

Microbials can build soil health and improve plant uptake of nutrients, they are safer to transport and remain cost competitive despite volatility across global markets. As a result, farmers can build their on-farm sustainability, increase the watershed’s biodiversity and reduce nitrate runoff, directly addressing many of the environmental issues threatening the Bay.

Farmers are dedicated to the land. They do all they can to improve efficiency of on-farm nutrient use to improve their crops. As a Maryland small farmer, I have seen firsthand the progress our agricultural community has made in lessening our environmental impact. But these changes cannot be left to our farmers alone. They need local, state and federal support to increase adoption.

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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.