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Market Facilitation Funds for Alfalfa Growers

Thanks to the trade war, alfalfa growers may qualify for market facilitation payments. When China imposed retaliatory tariffs and non-tariff barriers on exports of agricultural goods from the United States, the federal government developed the Market Facilitation Program. It provides financial assistance to farmers with commodities impacted by tariffs.
 
Soybeans are the most well known and highest ranking among crops covered by the program; however, some other crops are also covered. Prior to the trade war, China was the number one importer of alfalfa hay from the United States. As a result, alfalfa hay also qualifies for Market Facilitation payments.
 
You don’t need to have been selling your hay for export. All alfalfa growers are eligible for payments, including growers who feed all their alfalfa on-farm to their own livestock. Payments are based solely on planted acres as long as conservation compliance requirements are met.
 
To receive payments, apply at your local Farm Service Agency office by December 6.  In order for a field to qualify, it must contain at least 60% alfalfa.  At this time it’s unclear how the amount of alfalfa in alfalfa-grass mixtures is going to be determined, but it probably will be done locally. If you do apply, make sure you report your acres as alfalfa. Do not report it as alfalfa-grass because mixtures are ineligible for payments.
 
Take advantage of Market Facilitation payments for alfalfa. They may not be particularly high, but something is better than nothing.
 
Source : unl.edu

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Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

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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.