We’re diving into the creation and purpose of ManureDB, a groundbreaking database developed to modernize and enhance the accuracy of manure book values in the U.S. With most current values dating back to pre-2003 samples, researchers at the University of Minnesota, led by Drs. Melissa Wilson and Erin Cortus, received a NIFA grant to address this gap. ManureDB is a dynamic tool built in partnership with the Minnesota Supercomputing Institute, allowing users to sort and analyze manure data by year, animal type, storage method, and region.

ManureDB database

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