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: Jeffrey W. White, Kenneth J. Boote, Bruce A. Kimball, Cheryl Porter, Montse Salmeron, Vakhtang Shelia, Kelly R. Thorp, Gerrit Hoogenboom
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Sustainable Agriculture
Online Access:https://doi.org/10.1038/s44264-025-00067-z
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author Jeffrey W. White
Kenneth J. Boote
Bruce A. Kimball
Cheryl Porter
Montse Salmeron
Vakhtang Shelia
Kelly R. Thorp
Gerrit Hoogenboom
author_facet Jeffrey W. White
Kenneth J. Boote
Bruce A. Kimball
Cheryl Porter
Montse Salmeron
Vakhtang Shelia
Kelly R. Thorp
Gerrit Hoogenboom
author_sort Jeffrey W. White
collection DOAJ
description 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
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publishDate 2025-05-01
publisher Nature Portfolio
record_format Article
series npj Sustainable Agriculture
spelling doaj-art-33af3b8718944ec0b56faea0bd38f9c32025-08-20T02:34:15ZengNature Portfolionpj Sustainable Agriculture2731-92022025-05-01311810.1038/s44264-025-00067-zFrom field to analysis: strengthening reproducibility and confirmation in research for sustainable agricultureJeffrey W. White0Kenneth J. Boote1Bruce A. Kimball2Cheryl Porter3Montse Salmeron4Vakhtang Shelia5Kelly R. Thorp6Gerrit Hoogenboom7Department of Agricultural and Biological Engineering University of FloridaDepartment of Agricultural and Biological Engineering University of FloridaArid-Land Agricultural Research Center, USDA ARSDepartment of Agricultural and Biological Engineering University of FloridaDepartment of Plant and Soil Sciences, University of KentuckyDepartment of Agricultural and Biological Engineering University of FloridaGrassland Soil and Water Research Laboratory, USDA ARSDepartment of Agricultural and Biological Engineering University of FloridaAbstract 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.https://doi.org/10.1038/s44264-025-00067-z
spellingShingle Jeffrey W. White
Kenneth J. Boote
Bruce A. Kimball
Cheryl Porter
Montse Salmeron
Vakhtang Shelia
Kelly R. Thorp
Gerrit Hoogenboom
From field to analysis: strengthening reproducibility and confirmation in research for sustainable agriculture
npj Sustainable Agriculture
title From field to analysis: strengthening reproducibility and confirmation in research for sustainable agriculture
title_full From field to analysis: strengthening reproducibility and confirmation in research for sustainable agriculture
title_fullStr From field to analysis: strengthening reproducibility and confirmation in research for sustainable agriculture
title_full_unstemmed From field to analysis: strengthening reproducibility and confirmation in research for sustainable agriculture
title_short From field to analysis: strengthening reproducibility and confirmation in research for sustainable agriculture
title_sort from field to analysis strengthening reproducibility and confirmation in research for sustainable agriculture
url https://doi.org/10.1038/s44264-025-00067-z
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