DeltaBreed: A BrAPI-centric breeding data information system

  1. Shawn C. Yarnes
  2. Nick Palladino
  3. David J. Meidlinger
  4. David R. Philips
  5. Heather M. Sweeney
  6. Matthew L. Mandych
  7. Shahana A. Mustafa
  8. Samuel Bouabane
  9. Timothy E. Parsons
  10. Tyler J. Slonecki
  11. Dongyan Zhao
  12. Trevor W. Rife
  13. Bryan J. Ellerbrock
  14. Chaney Courtney
  15. Peter Selby
  16. Mirella Flores-Gonzalez
  17. Lukas A. Mueller
  18. Johan S. Aparicio
  19. Khaled Al-Sham’aa
  20. Sebastian Raubach
  21. Craig T. Beil
  22. Moira J. Sheehan
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Abstract

DeltaBreed is a unified breeding data management system designed by Breeding Insight (BI, Cornell University) to serve the wide diversity of USDA-ARS specialty crop and animal breeding programs. DeltaBreed has a RESTful microservice architecture that utilizes the BrAPI Java Test Server as its primary database. The system is interoperable with many BrAPI-compliant applications (BrApps), including Field Book, and is continually aligned with the most recent BrAPI specifications. Here, we describe the features of DeltaBreed and provide several interoperability test cases to illustrate successes and challenges encountered during development. We also discuss future expansion and enhancement plans for DeltaBreed, as well as outline possible solutions to known limitations.

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  1. Version published to 10.1101/2025.04.23.650200v1 on bioRxiv