From field to analysis: strengthening reproducibility and confirmation in research for sustainable agriculture
Lack of robustness and potential bias are growing concerns for research, including for sustainable agriculture. Research confirmation requires independent duplication of field experiments, modeling and other analyses. Key concepts include “repeatability” (consistency within an experiment), “replicability” (same team, different environments), and “reproducibility” (independent team, different environments). Researchers must improve workflow descriptions, especially regarding crop environments and management. A useful metric is how well research could be reproduced in ten years.
Authors
- Jeffrey W. White (ORCID: https://orcid.org/0000-0002-2051-4645)
- Kelly Robert Thorp (ORCID: https://orcid.org/0000-0001-9168-875X)
- Kenneth J. Boote (ORCID: https://orcid.org/0000-0002-1358-5496)
- Gerrit Hoogenboom (ORCID: https://orcid.org/0000-0002-1555-0537)
- Cheryl Porter (ORCID: https://orcid.org/0000-0001-7269-6543)
- Bruce A. Kimball (ORCID: https://orcid.org/0000-0003-3009-061X)
- M. Salmerón
- Vakhtang Shelia
Institutions
- University of Kentucky (US)
- University of Florida (US)
- U.S. Arid Land Agricultural Research Center (US)
- Grassland, Soil and Water Research Laboratory (US)
Publication Details
- Journal
- npj Sustainable Agriculture
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1038/s44264-025-00067-z
- Citations
- 3
- Primary Topic
- Climate change impacts on agriculture
- Type
- article
- Field-Weighted Citation Impact
- 9.08
Funders
- U.S. Department of Agriculture