Creating a Fingerprint Database for Foodborne Pathogens

Dr. Bart Weimer and his team at UC Davis, School of Veterinary Medicine, are creating a massive database of genome signatures— collecting the “fingerprints” of 65,000 strains of...

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Deciphering Decisions: Using Digital Tools to Help Farmers Plant the Right Seeds

Researchers at Washington University in St. Louis are using machine learning to help farmers make informed planting decisions. The computational models allow farmers to receive the top...

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Elevating Evaluation: Developing New Tools to Understand Animal Genetics

Dr. Misztal and a team of international researchers are working to simplify genetic analyses for dairy cattle evaluation. Using data from more than 3 million Holstein cows, the team...

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Feeding Farm Animals: Using Computing Technology to Individualize Diets

Dr. White focuses on precision animal nutrition to improve livestock health and the efficiency of food production. Her team explores how the nexus of a specific animal’s behavior and...

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Harnessing a Flood of Data to Improve Rice Production

Dr. McCouch and Dr. Wang analyzed genetic sequencing of all the rice varieties whose seeds lie in the public domain to determine the genetics responsible for production levels in specific...

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Mapping the Potential of Soil

Purdue scientists have developed algorithms that account for how soil in specific locations interact with landscape features like streams and water catchments. These algorithms provide...

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Promoting Precision: Using Satellite Data to Manage Water and Fertilizer Use

Dr. Khosla and his team are reducing water and nitrogen use by enhancing the efficiency, productivity, profitability, and sustainability of crop production systems through informatics....

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Protecting Soil and Water With Strips of Native Prairie

Dr. Lisa Schulte Moore and Dr. Matthew Helmers lead an interdisciplinary team of scientists who have found an innovative way to minimize runoff, keeping water clean without sacrificing...

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Reinforcing Resilience: Leveraging Super Computers to Predict Crop Yields and Water Requirements

Dr. Guan and his team use computer modeling to determine how increasing temperatures impact soybean growth and crop production.  This enables them to more accurately predict the future...

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Sequencing Solutions: Revolutionizing Understanding of Antimicrobial Resistance With Genome Analysis

Antimicrobial resistant-microbes (AMRs) pose a serious threat to public health. AMRs are found in people, animals, food, and the environment. They spread from animals to people, and from...

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Transferring Science and Translating Policy for Farmers

Dr. Irwin and his colleagues are bringing their research straight to farmers. Their website, called Farmdoc, serves the “Corn Belt” agricultural community. Updated daily, it now has over...

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