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Genomic prediction in Honey Bees

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Manage episode 367229011 series 1455694
Content provided by Springer Nature. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Springer Nature 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://player.fm/legal.
In this episode, Richard Bernstein (Institute for Bee Research Hohen Neuendorf) discusses the development of the first genomic prediction model for honey bees. Genomic prediction is well established in the breeding of many commercial species, but wasn’t possible in honey bees until now. Richard fills us in on what genomic prediction actually is, why its useful and why prediction for bees is so tricky.
  continue reading

542 episodes

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Genomic prediction in Honey Bees

Springer Nature

111 subscribers

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Manage episode 367229011 series 1455694
Content provided by Springer Nature. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Springer Nature 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://player.fm/legal.
In this episode, Richard Bernstein (Institute for Bee Research Hohen Neuendorf) discusses the development of the first genomic prediction model for honey bees. Genomic prediction is well established in the breeding of many commercial species, but wasn’t possible in honey bees until now. Richard fills us in on what genomic prediction actually is, why its useful and why prediction for bees is so tricky.
  continue reading

542 episodes

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