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ARS, the University of Arkansas and the National Cattlemen’s Beef Association, led a study to identify environmental impacts from U.S. beef production.

Scientists developed a method to analyze PFAS in foods including chicken, pork, beef, catfish, and eggs.

ARS scientists developed novel, reversible biocides that kill disease-causing bacteria while minimizing other toxic effects.

ARS researchers worked with the produce industry to develop a food-safe, compostable adhesive formulation for price look-up labels on produce.

ARS-funded scientists developed an artificial intelligence (AI)-aided computer vision system for real-time monitoring of fish in recirculating aquaculture systems.

ARS researchers in Albany, CA, are developing a new technology that could "freshen up" the frozen fruit and vegetable market. 

The virus influenza A strain crossed from humans to swine at least 370 separate times between 2009 and 2021.

By using telomere-to-telomere assemblies, ARS scientists can better understand the biological and genomic basis for how animals differ.

ARS researchers and collaborators demonstrated that oils from algae can produce the necessary omega-3 fatty acids found in fish oils.

ARS-funded researchers in Little Rock, AR, studied how a mother’s physical activity during pregnancy could affect infant brain development.

ARS-funded research found a correlation between adequate brain level concentrations of vitamin K and better cognitive function.

ARS researchers studied whether different dietary patterns were linked to decision-making performance and stress exposure.

Hempseed cake was mixed into cattle feed for approximately 16 weeks and then meat products from the cattle were tested for CBD and THC levels.

ARS scientists have developed yellow bean varieties that contain more absorbable iron.

ARS researchers developed an antibody against the most lethal variant of the Shiga toxin, called Stx2.

ARS researchers developed a new spawning aid for female channel catfish resulting in increased egg yield.

ARS scientists used artificial intelligence to develop image-based identification for five common stored grain insect species.