An inter-laboratory comparison of soil organic carbon analysis on a farm with four agricultural management systems
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Soil organic carbon (SOC) as a key soil health indicator is integral to the soil's capacity to function as a vital living ecosystem that sustains plants, animals, and humans. Accurate SOC estimation is essential to decision‐making for an increasing number of stakeholders, such as farmers, industry professionals, and policymakers, to determine the environmental benefit of agricultural practices, and more recently, allocate financial rewards through carbon market initiatives. Our study examined SOC variability in soils from four different regenerative management systems on a single farm using stratification and sample compositing, and analyzed by four different laboratories using dry combustion, the recommended analytical method, but one which varied according to laboratory standard operating procedures (SOP). Results showed significant variation in SOC levels for the same soil samples at different laboratories (1.6 ± 0.2 g kg−1), variation comparable to that between the distinct management systems (1.5 ± 0.4 g kg−1). Our findings show that analytical variability within and between laboratories must be considered, that use of the same laboratory, and to the extent possible the same SOP for successive SOC measurements at the same location is necessary, and that rigorous stratification alongside minimal sample consolidation should be conducted to generate analytical sample numbers that cater to logistics, economics, and scientific rigor.
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Soil samples were analyzed across different laboratories, introducing unknown uncertainty from differences in sample handling and processing, despite all using dry combustion, the analytical gold standard.
“Soil samples were also analyzed across different laboratories, introducing unknown uncertainty from differences in sample handling and processing, despite all using dry combustion, the analytical gold standard (Brinton et al., 2025;Even et al., 2025).”
From Impact of 10 years of adaptive multi-paddock grazing on soil carbon and beef's greenhouse gas footprint in the US Upper Midwest (2026) · cites this paper as Brinton et al., 2025
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Agricultural management and soil carbon storage in surface vs. deep layers
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Cited by
Sorted by citations
Garcia, L., Stanley, P. L., Sacramento, J. P., Dillon, J. A., Thorbecke, M., Thompson, L. R., Ambike, V., Sharma, P., Xu, S., Chiavegato, M. B., et al. (2026) · Agricultural Systems · doi:10.1016/j.agsy.2026.104879 · Cited by 1 · see citing works
Self-citation
- Authors
- Brinton, W., Basso, B., Millar, N., Covey, K., Bettigole, C., Jagadamma, S., Loeffler, F., & Kolodney, S.
- Affiliations
- University of Maine (US)
- Michigan State University (US)
- Skidmore College Saratoga Springs New York USA
- Skidmore College (US)
- University of Tennessee System (US)
- University of Maryland, College Park (US)
- Corresponding author
- Brinton, William
- ORCID
- Venue
- Agronomy Journal
- Publisher
- Wiley
- Published
- 2025-01
- Volume
- 117
- Issue
- 1
- ISSN
- 0002-1962 (ISSN-L)
- 1435-0645
- OpenAlex
- W4407420026
- Cited by
- 7
- References
- 1
- Citations by year
- 2026: 4 · 2025: 3
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Update notices
- correction (2025-03-18)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Agronomy Journal (publishedVersion, cc-by-nc)
- Funders
- National Institute of Food and Agriculture (2020‐67021‐32799)
- Natural Resources Conservation Service (NR213A750013G001)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Management and Crop Yield
- Keywords
- soil organic carbon, interlaboratory comparison, analytical variability, regenerative agriculture, farm management systems, sample stratification, standard operating procedures, soil health, emissions trading
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