Cited by 301Soil Carbon and Nitrogen DynamicsSoil Management and Crop YieldAgricultural Science and Fertilization

Comparison of Permanganate‐Oxidizable Carbon and Mineralizable Carbon for Assessment of Organic Matter Stabilization and Mineralization

Open access
Hurisso, Tunsisa T., Culman, Steve W., Horwath, William R., Wade, Jordon, Cass, Deandra, Beniston, Joshua W., Bowles, Timothy M., Grandy, A. Stuart +4 more·2016·Soil Science Society of America Journal

Abstract

Core Ideas: POXC and mineralizable C were evaluated across diverse agroecosystems. The two are related but differentially influenced by management practices. POXC better reflected SOM stabilizing practices. Mineralizable C reflected SOM mineralizing practices. Both predicted agronomic performance better than other soil C fractions. Permanganate‐oxidizable C (POXC) and mineralizable C (as determined by short‐term aerobic incubation of rewetted soil) are measures of active organic matter that may provide early indication of soil C stabilization and mineralization processes. To date, the relationship between these two promising active organic matter tests has not been comprehensively evaluated, and little is known about their functional role in the soil ecosystem. Here, we examined the relationship between POXC and mineralizable C across a wide range of soil types, management histories, and geographic locations across the United States (13 studies, 76 total sites; n = 1071) and the ability of POXC and mineralizable C to predict crop yield and total aboveground biomass. Results from this comparative analysis showed that POXC and mineralizable C are related (r 2 = 0.15–0.80) but that the relationship was differentially influenced by management practices. Overall, POXC better reflected practices that promote organic matter accumulation or stabilization and therefore can be a useful indicator of long‐term soil C sequestration. Conversely, mineralizable C better reflected practices that promote organic matter mineralization and therefore can be a useful indicator of short‐term soil nutrient availability. Our results also show that both mineralizable C and POXC were better predictors of corn (Zea mays L.) grain yield, aboveground biomass, and tomato (Solanum lycopersicum L.) fruit yield than other soil C fractions evaluated here. Thus, the integrated use of POXC and mineralizable C can provide a complementary framework to assess the relative dynamics of soil C stabilization and nutrient mineralization functions in agroecosystems.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2136/sssaj2016.04.0106

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 54

  1. et al. 2012b. Permanganate oxidizable carbon reflects a processed soil fraction that is sensitive to management. Soil Sci. Soc. Am. J. 76:494-504. doi:10.2136/sssaj2011.0286 · DOI · Paper page
  2. Culman, S.W., S.S. Snapp, J.M. Green, and L.E. Gentry. 2013. Short-and long-term labile soil carbon and nitrogen dynamics reflect management and predict corn agronomic performance. Agron. J. 105:493-502. doi:10.2134/agronj2012.0382 · DOI
  3. de Moraes Sá, J.C.M., F. Tivet, R. Lal, C. Briedis, D.C. Hartman, J.Z.D. Santos, and J.B.D. Santos. 2014. Long-term tillage systems impacts on soil C dynamics, soil resilience and agronomic productivity of a Brazilian Oxisol. Soil Tillage Res. 136:38-50. doi:10.1016/j.still.2013.09.010 · DOI
  4. Drinkwater, L.E., P. Wagoner, and M. Sarrantonio. 1998. Legume-based cropping systems have reduced carbon and nitrogen losses. Nature 396:262-265. doi:10.1038/24376 · DOI · Paper page
  5. Eichler Inwood, S.E., G.E. Bates, and D.M. Butler. 2015. Forage performance and soil quality in forage systems under organic management in the southeastern United States. Agron. J. 107:1641-1652. doi:10.2134/ agronj14.0472 · DOI
  6. Fortuna, A., R.R. Harwood, K. Kizilkaya, and E.A. Paul. 2003. Optimizing nutrient availability and potential carbon sequestration in an agroecosystem. Soil Biol. Biochem. 35:1005-1013. doi:10.1016/S0038- 0717(03)00084-1 · DOI
  7. Franzluebbers, A.J., R.L. Haney, C.W. Honeycutt, H.H. Schomberg, and F.M. Hons. 2000a. Flush of carbon dioxide following rewetting of dried soil relates to active organic pools. Soil Sci. Soc. Am. J. 64:613-623. doi:10.2136/sssaj2000.642613x · DOI · Paper page
  8. Franzluebbers, A.J., J.A. Stuedemann, H.H. Schomberg, and S.R. Wilkinson. 2000b. Soil organic C and N pools under long-term pasture management in the Southern Piedmont USA. Soil Biol. Biochem. 32:469-478. doi:10.1016/S0038-0717(99)00176-5 · DOI
  9. Franzluebbers, A.J., and J.A. Stuedemann. 2002. Particulate and non- particulate fractions of soil organic carbon under pastures in the Southern Piedmont USA. Environ. Pollut. 116:S53-S62. doi:10.1016/S0269- 7491(01)00247-0 · DOI
  10. Franzluebbers, A.J., and J.A. Stuedemann. 2007. Crop and cattle responses to tillage systems for integrated crop-livestock production in the Southern Piedmont, USA. Renew. Agric. Food Syst. 22:168-180. doi:10.1017/ S1742170507001706 · DOI
  11. Franzluebbers, A.J., and J.A. Stuedemann. 2008. Early response of soil organic fractions to tillage and integrated crop-livestock production. Soil Sci. Soc. Am. J. 72:613-625. doi:10.2136/sssaj2007.0121 · DOI
  12. Franzluebbers, A.J. 2016. Should soil testing services measure soil biological activity? Agric. Environ. Letters 1:150009. doi:10.2134/ael2015.11.0009 · DOI
  13. Grandy, A.S., G.P. Robertson, and K.D. Thelen. 2006. Do productivity and environmental trade-offs justify periodically cultivating no-till cropping systems? Agron. J. 98:1377-1383. doi:10.2134/agronj2006.0137 · DOI
  14. Grandy, A.S., and G.P. Robertson. 2007. Land-use intensity effects on soil organic carbon accumulation rates and mechanisms. Ecosystems 10:59- 74. doi:10.1007/s10021-006-9010-y · DOI · Paper page
  15. Gregorich, E.G., M.R. Carter, D.A. Angers, C.M. Monreall, and B.H. Ellert. 1994. Towards a minimum data set to assess soil organic matter quality in agricultural soils. Can. J. Soil Sci. 74:367-385. doi:10.4141/cjss94-051 · DOI · Paper page
  16. Haney, R., F. Hons, M. Sanderson, and A. Franzluebbers. 2001. A rapid procedure for estimating nitrogen mineralization in manured soil. Biol. Fertil. Soils 33:100-104. doi:10.1007/s003740000294 · DOI
  17. Haney, R.L., W.H. Brinton, and E. Evans. 2008. Estimating soil carbon, nitrogen, and phosphorus mineralization from short-term carbon dioxide respiration. Commun. Soil Sci. Plant Anal. 39:2706-2720. doi:10.1080/00103620802358862 · DOI
  18. Haynes, R.J. 2005. Labile organic matter fractions as central components of the quality of agricultural components of the quality of agricultural soils: An overview. Adv. Agron. 85:221-268. doi:10.1016/S0065-2113(04)85005-3 · DOI · Paper page
  19. Jenkinson, D., and D. Powlson. 1976. The effects of biocidal treatments on metabolism in soil: V. A method for measuring soil biomass. Soil Biol. Biochem. 8:209-213. doi:10.1016/0038-0717(76)90005-5 · DOI
  20. Kong, A.Y.Y., J. Six, D.C. Bryant, R.F. Denison, and C. van Kessel. 2005. The relationship between carbon input, aggregation, and soil organic carbon stabilization in sustainable cropping systems. Soil Sci. Soc. Am. J. 69:1078- 1085. doi:10.2136/sssaj2004.0215 · DOI
  21. Ladoni, M., A. Basir, and A. Kravchenko. 2015. Which soil carbon fraction is the best for assessing management differences? A statistical power perspective. Soil Sci. Soc. Am. J. 79:848-857. doi:10.2136/sssaj2014.10.0426 · DOI · Paper page
  22. Lal, R. 2006. Enhancing crop yields in the developing countries through restoration of the soil organic carbon pool in agricultural lands. Land Degrad. Dev. 17:197-209. doi:10.1002/ldr.696 · DOI · Paper page
  23. Lewis, D.B., J.P. Kaye, R. Jabbour, and M.E. Barbercheck. 2011. Labile carbon and other soil quality indicators in two tillage systems during transition to organic agriculture. Renew. Agric. Food Syst. 26:342-353. doi:10.1017/ S1742170511000147 · DOI
  24. Lucas, S.T., and R.R. Weil. 2012. Can a labile carbon test be used to predict crop responses to improved soil organic matter management? Agron. J. 104:1160-1170. doi:10.2134/agronj2011.0415 · DOI
  25. Majumder, B., B. Mandal, P.K. Bandyopadhyay, and J. Chaudhury. 2007. Soil organic carbon pools and productivity relationships for a 34 year old rice- wheat-jute agroecosystem under different fertilizer treatments. Plant Soil 297:53-67. doi:10.1007/s11104-007-9319-0 · DOI
  26. Mendes, I.C., A.K. Bandick, R.P. Dick, and P.J. Bottomley. 1999. Microbial biomass and activities in soil aggregates affected by winter cover crops. Soil Sci. Soc. Am. J. 63:873-881. doi:10.2136/sssaj1999.634873x · DOI
  27. Min, D.H., K.R. Islam, L.R. Vough, and R.R. Weil. 2003. Dairy manure effects on soil quality properties and carbon sequestration in alfalfa-orchardgrass systems. Commun. Soil Sci. Plant Anal. 34:781-799. doi:10.1081/CSS- 120018975 · DOI
  28. Mirsky, S.B., L.E. Lanyon, and B.A. Needelman. 2008. Evaluating soil management using particulate and chemically labile soil organic matter fractions. Soil Sci. Soc. Am. J. 72:180-185. doi:10.2136/sssaj2005.0279 · DOI
  29. Mitchell, J.P., A. Shrestha, and S. Irmak. 2015. Trade-offs between winter cover crop production and soil water depletion in the San Joaquin Valley, California. J. Soil Water Conserv. 70:430-440. doi:10.2489/jswc.70.6.430 · DOI
  30. Morrow, J.G., D.R. Huggins, L.A. Carpenter-Boggs, and J.P. Reganold. 2016. Evaluating measures to assess soil health in long-term agroecosystem trials. Soil Sci. Soc. Am. J. doi:10.2136/sssaj2015.08.0308 · DOI
  31. Parton, W.J., D.S. Schimel, C.V. Cole, and D.S. Ojima. 1987. Analysis of factors controlling soil organic matter levels in great plains grasslands. Soil Sci. Soc. Am. J. 51:1173-1179. doi:10.2136/sssaj1987.03615995005100050015x · DOI
  32. Poffenbarger, S., B. Mirsky, R.R. Weil, M. Kramer, J.T. Spargo, and M.A. Cavigelli. 2015. Legume proportion, poultry litter, and tillage effects on cover crop decomposition. Agron. J. 107:2083-2096. doi:10.2134/ agronj15.0065 · DOI
  33. Reeve, J.R., J.B. Endelman, B.E. Miller, and D.J. Hole. 2012. Residual effects of compost on soil quality and dryland wheat yield sixteen years after compost application. Soil Sci. Soc. Am. J. 76:278-285. doi:10.2136/sssaj2011.0123 · DOI
  34. Robertson, G.P., E.A. Paul, and R.R. Harwood. 2000. Greenhouse gases in intensive agriculture: Contributions of individual gases to the radiative forcing of the atmosphere. Science 289:1922-1925. doi:10.1126/ science.289.5486.1922 · DOI · Paper page
  35. Ros, M., S. Klammer, B. Knapp, K. Aichberger, and H. Insam. 2006. Long-term effects of compost amendment of soil on functional and structural diversity and microbial activity. Soil Use Manage. 22:209-218. doi:10.1111/j.1475- 2743.2006.00027.x · DOI
  36. Rudrappa, L., T.J. Purakayastha, D. Singh, and S. Bhadraray. 2006. Long-term manuring and fertilization effects on soil organic carbon pools in a Typic Haplustept of semi-arid sub-tropical India. Soil Tillage Res. 88:180-192. doi:10.1016/j.still.2005.05.008 · DOI
  37. Schipanski, M.E., L.E. Drinkwater, and M.P. Russelle. 2010. Understanding the variability in soybean nitrogen fixation across agroecosystems. Plant Soil 329:379-397. doi:10.1007/s11104-009-0165-0 · DOI
  38. Schipanski, M.E., and L.E. Drinkwater. 2011. Nitrogen fixation of red clover interseeded with winter cereals across a management-induced fertility 14350661, 2016, 5, Downloaded from https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2016.04.0106, Wiley Online Library on [31/08/2026]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License gradient. Nutr. Cycling Agroecosyst. 90:105-119. doi:10.1007/s10705- 010-9415-z · DOI
  39. Schmidt, M.W.I., M.S. Torn, S. Abiven, T. Dittmar, G. Guggenberger, I.A. Janssens, et al. 2011. Persistence of soil organic matter as an ecosystem property. Nature 478:49-56. doi:10.1038/nature10386 · DOI · Paper page
  40. Schomberg, H.H., S. Wietholter, T.S. Griffin, D.W. Reeves, M.L. Cabrera, D.S. Fisher, et al. 2009. Assessing indices for predicting potential nitrogen mineralization in soils under different management systems. Soil Sci. Soc. Am. J. 73:1575-1586. doi:10.2136/sssaj2008.0303 · DOI
  41. Sherrod, L.A., J.D. Reeder, W. Hunter, and L.R. Ahuja. 2012. Rapid and cost-effective method for soil carbon mineralization in static laboratory incubations. Commun. Soil Sci. Plant Anal. 43:958-972. doi:10.1080/0 0103624.2012.653031 · DOI
  42. Six, J., E.T. Elliott, K. Paustian, and J.W. Doran. 1998. Aggregation and soil organic matter accumulation in cultivated and native grassland soils. Soil Sci. Soc. Am. J. 62:1367-1377. doi:10.2136/sssaj1998.03615995006200050032x · DOI
  43. Tiessen, H., E. Cuevas, and P. Chacon. 1994. The role of soil organic matter in sustaining soil fertility. Nature 371:783-785. doi:10.1038/371783a0 · DOI
  44. Tirol-Padre, A., and J.K. Ladha. 2004. Assessing the reliability of permanganate oxidizable carbon as an index of soil labile carbon. Soil Sci. Soc. Am. J. 68:969-978. doi:10.2136/sssaj2004.9690 · DOI
  45. Ugarte, C.M., and M.M. Wander. 2013. The influence of organic transition strategy on chemical and biological soil tests. Renew. Agric. Food Syst. 28:17-31. doi:10.1017/S1742170511000573 · DOI
  46. Vahdat, E., F. Nourbakhsh, and M. Basiri. 2010. Estimation of net N mineralization from short-term C evolution in a plant residue-amended soil: Is the accuracy of estimation time-dependent? Soil Use Manage. 26:340-345. doi:10.1111/j.1475-2743.2010.00285.x · DOI
  47. Vance, E.D., P.C. Brookes, and D.S. Jenkinson. 1987. An extraction method for measuring soil microbial biomass C. Soil Biol. Biochem. 19:703-707. doi:10.1016/0038-0717(87)90052-6 · DOI
  48. Wade, J. 2016. Integrating biological, chemical and mineralogical indices to predict net N mineralization across California agricultural systems. M.Sc. thesis. Univ. of California, Davis.
  49. Wander, M.M., and L.E. Drinkwater. 2000. Fostering soil stewardship through soil quality assessment. Appl. Soil Ecol. 15:61-73. doi:10.1016/S0929- 1393(00)00072-X · DOI
  50. Wander, M.M. 2004. SOM fractions and their relevance to soil function. In: F. Magdoff and R.R. Weil, editors, Soil organic matter in sustainable agriculture. CRC Press, Boca Raton, FL. p. 67-102. doi:10.1201/9780203496374. · DOI
  51. Wang, W.G., R.C. Dalal, P.W. Moody, and C.J. Smith. 2003. Relationships of soil respiration to microbial biomass, substrate availability and clay content. Soil Biol. Biochem. 35:273-284. doi:10.1016/S0038-0717(02)00274-2 · DOI
  52. Wardle, D.A. 1992. A comparative assessment of factors which influence microbial biomass carbon and nitrogen levels in soil. Biol. Rev. Camb. Philos. Soc. 67:321-358. doi:10.1111/j.1469-185X.1992.tb00728.x · DOI
  53. Weil, R.R., K.R. Islam, M.A. Stine, J.B. Gruver, and S.E. Samson-Liebig. 2003. Estimating active carbon for soil quality assessment: A simplified method for laboratory and field use. Am. J. Alternative Agric. 18:3-17. doi:10.1079/AJAA2003003 · DOI
  54. Weil, R., and F. Magdoff. 2004. Significance of soil organic matter to soil quality and health. In: F. Magdoff and R. Weil, editors, Soil organic matter in sustainable agriculture. CRC Press, Boca Raton, FL. doi:10.1201/9780203496374. · DOI

Cited by

Sorted by citations

Authors
Hurisso, T. T., Culman, S. W., Horwath, W. R., Wade, J., Cass, D., Beniston, J. W., Bowles, T. M., Grandy, A. S., Franzluebbers, A. J., Schipanski, M. E., Lucas, S. T., & Ugarte, C. M.
Affiliations
  • The Ohio State University (US)
  • Dep. of Land, Air and Water Resources Univ. of California Davis CA 95616
  • University of California, Davis (US)
  • Santa Rosa Junior College (US)
  • University of New Hampshire (US)
  • Agricultural Research Service (US)
  • Colorado State University (US)
  • Kentucky State University (US)
  • University of Illinois Urbana-Champaign (US)
Corresponding author
  • Hurisso, Tunsisa T.
  • Culman, Steve W.
Venue
Soil Science Society of America Journal
Publisher
Wiley
Published
2016-09
Volume
80
Issue
5
Pages
1352-1364
ISSN
  • 0361-5995 (ISSN-L)
  • 1435-0661
OpenAlex
W2516199552
Cited by
301
References
1
Citations by year
2026: 32 · 2025: 37 · 2024: 38 · 2023: 28 · 2022: 33 · 2021: 42 · 2020: 33 · 2019: 28 · 2018: 16 · 2017: 13 · 2016: 1
FWCI
22.63
Type
journal article
Language
en
Open access
Locations
  • Soil Science Society of America Journal (publishedVersion, cc-by-nc-nd)
  • University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) (submittedVersion, cc-by-nc-nd)
Funders
Ceres Trust
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Management and Crop Yield
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Agricultural Science and Fertilization
Keywords
permanganate oxidizable carbon, mineralizable carbon, soil organic matter stabilization, soil organic matter mineralization, soil carbon sequestration, soil carbon fractions, crop yield prediction, aboveground biomass, agroecosystem management, soil nutrient mineralization

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review