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Episode 272 - ManureDB: Updating the Science of Manure, One Sample at a Time - UMN Extension's The Moos Room

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Manage episode 454624061 series 2890870
Content provided by University of Minnesota Extension. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by University of Minnesota Extension or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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

Questions, comments, scathing rebuttals? -> [email protected] or call 612-624-3610 and leave us a message!

Linkedin -> The Moos Room
Twitter -> @UMNmoosroom and @UMNFarmSafety
Facebook -> @UMNDairy
YouTube -> UMN Beef and Dairy and UMN Farm Safety and Health
Instagram -> @UMNWCROCDairy
Extension Website
AgriAmerica Podcast Directory

  continue reading

295 episodes

Artwork
iconShare
 
Manage episode 454624061 series 2890870
Content provided by University of Minnesota Extension. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by University of Minnesota Extension or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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

Questions, comments, scathing rebuttals? -> [email protected] or call 612-624-3610 and leave us a message!

Linkedin -> The Moos Room
Twitter -> @UMNmoosroom and @UMNFarmSafety
Facebook -> @UMNDairy
YouTube -> UMN Beef and Dairy and UMN Farm Safety and Health
Instagram -> @UMNWCROCDairy
Extension Website
AgriAmerica Podcast Directory

  continue reading

295 episodes

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