From field to analysis: strengthening reproducibility and confirmation in research for sustainable agriculture
Abstract 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),...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | npj Sustainable Agriculture |
| Online Access: | https://doi.org/10.1038/s44264-025-00067-z |
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| Summary: | Abstract 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. |
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| ISSN: | 2731-9202 |