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Are you tracking a management change, planning fertilizer, or ordering tests for a conservation program? Those uses require different evidence. The Haney test can add useful information about biological activity and nutrient cycling, particularly when the same field is sampled consistently over several years. A nutrient credit or a single score needs a separate check before it changes a fertilizer rate ⁠[34] ⁠[41].

Developed through USDA Agricultural Research Service work in Temple, Texas, the original Soil Health Tool combines a 24-hour CO2 burst, water-extractable organic carbon (WEOC) and nitrogen (WEON), and nutrients extracted with H3A ⁠[1]. H3A uses dilute organic acids and has changed since its first publication in 2006; the 2017 H3A-4 formulation removed lithium citrate ⁠[2] ⁠[3] ⁠[4]. The report then uses measured values to calculate a Soil Health Score and estimated nutrient availability. Laboratory packages have also evolved: Ward’s current Soil Health Assessment lists conventional nutrient extracts alongside biological measurements, while Regen Ag Lab’s Haney package lists H3A ⁠[51] ⁠[52]. Confirm the package contents before comparing reports.

The published 2018 method dries soil at 50 °C, sieves it to 2 mm, and uses separate water and H3A extracts plus a dried-and-rewetted sample for respiration ⁠[1]. Incubation and detection methods can differ: Ward’s archived instructions specify infrared CO2 analysis at 24 °C, while MVTL’s information sheet specifies 25 °C ⁠[5] ⁠[6]. WEON is calculated as total water-extractable N minus nitrate-N and ammonium-N. It is an estimate of an extractable organic pool, not a direct measurement of the N a crop will receive.

The original Haney method and current commercial packages are not necessarily identical. Retain the laboratory, method, units, sampling depth, and report version with each result.

Which score formula was used? Published documents are not uniform. The 2018 paper prints (CO2-C/10) × (WEOC/100) × (WEON/10) ⁠[1]. Ward’s archived information sheet prints CO2-C/10 + WEOC/50 + WEON/10 ⁠[5]; its report-definitions sheet describes respiration divided by organic C:N plus weighted WEOC and WEON ⁠[8]. These documents establish a version issue, not which formula every laboratory uses today. Ask the laboratory to identify its current calculation and whether older results can be recalculated before treating a score change as a management response.

The nutrient calculation also has assumptions. In the 2018 paper, potential N mineralization equals the CO2-C:WEOC fraction × WEON × 2.24 × n, where n represents growing-season rain or irrigation events greater than one inch; the paper suggests four as a starting value ⁠[1]. Its available-N equation uses 2.24 to convert ammonium-N from mg/kg to kg/ha and 1.6 for nitrate-N, with the latter incorporating an assumed 30% nitrate loss. The 1.6 factor is therefore not a simple increase in measured nitrate. Laboratory guidance may implement credits differently ⁠[7]. The biological rationale draws on several studies; the 2008 compost experiment on Houston Black clay is one example, not the entire evidence base ⁠[1] ⁠[9]. These relationships still need field validation for the crop, region, and recommendation being used.

Studies have evaluated several different questions: whether indicators respond to management, whether a score tracks yield, and whether a nutrient recommendation predicts fertilizer response. Success on one question does not settle the others. The studies below show useful biological signals alongside limits in consistency and regional calibration.

These are study-specific findings, not a pooled estimate of test performance. Most study summaries are based on published abstracts; the NAPESHM minimum-suite paper was checked in full. Methods, score versions, soils, and management histories differ.

Management sensitivity was inconsistent in several trials ⁠[10] ⁠[11] ⁠[12] ⁠[16]. Nebraska provides a useful positive result: water-extract and H3A nitrogen measurements detected treatment differences missed by conventional nitrate testing, with similar analytical precision ⁠[15]. The North Carolina results also prompted a published disagreement about the Cornell CASH indicators ⁠[21] ⁠[22]. That reanalysis focused on CASH, so its conclusions should not be transferred to the Haney score. For a farm, the relevant question is whether the selected indicator can detect the particular change being monitored.

The North American Project to Evaluate Soil Health Measurements provides broader support for respiration as a monitoring indicator ⁠[17] ⁠[18]. Its recommended minimum suite combines soil organic carbon, aggregate stability, and 24-hour carbon mineralization. WEOC also responded to management, but overlapped with other carbon measurements ⁠[17] ⁠[23]. The project’s nitrogen analysis found strong relationships with carbon indicators and suggested organic carbon plus respiration as proxies for N-supply function ⁠[24]. This does not supply a field-specific fertilizer credit or validate the Haney score. A separate synthesis of 1,071 samples found that short-term mineralizable carbon and POX-C reflected different aspects of organic matter cycling, supporting their use as complementary indicators ⁠[25].

Can respiration help estimate nitrogen need? Research in North Carolina and Virginia found promising relationships between a 3-day CO2 flush and corn response to N ⁠[26] ⁠[27]. A later analysis across 111 fields explained 46% of variation in yield-scaled optimum N ⁠[28]. That method differs from the 24-hour Haney protocol in incubation duration, soil preparation, and rewetting. Its equations and thresholds should not be applied directly to a Haney report. In 29 Corn Belt N-rate trials, better biological soil health was associated with higher yield per unit of N, but the indicators offered limited advance information about a site’s fertilizer response ⁠[29].

Method consistency matters. A developer study found strong correlations among Solvita, titration, and infrared CO2 measurements, but correlation does not make their values interchangeable ⁠[30]. The manufacturer’s laboratory comparison found substantial effects of rewetting method ⁠[31], and an independent study found high between-laboratory variability in mineralizable carbon ⁠[32]. NRCS guidance has also evolved since its 2019 technical note ⁠[33]; the 2025 note discusses respiration methods lasting one to four days ⁠[34]. Keep the method fixed when monitoring, and check with the laboratory before combining results from different protocols. Part 5 explains these differences.

Build the sampling plan before ordering. Purdue and NRCS recommend consistent locations, depth, seasonal timing, and laboratory methods for repeated comparisons ⁠[35] ⁠[34]. Record crop, recent tillage and inputs, weather, and soil conditions. Consistency helps distinguish management effects from sampling variation; analytical precision still matters.

  • Confirm the depth and sampling design. Ward’s archived Haney protocol specifies 10-15 cores at 0-6 or 0-8 inches for its fertility recommendations ⁠[36]. Regen Ag Lab asks for at least ten cores collected at a consistent depth ⁠[37]. These are laboratory examples; CEMA 216 has a separate sampling design ⁠[38] ⁠[48]. Keep different depths separate and use the depth required for the intended interpretation.
  • Read a pounds-per-acre credit with its assumptions. Ward’s archived conversion is sample depth in inches × 0.3 × the estimated organic-N-release value in ppm ⁠[7]. An estimated release of 30 ppm therefore converts to 54 lb N/acre at six inches or 72 lb at eight inches. This illustrates the report’s arithmetic, not a reason to change sampling depth or a measurement of actual crop N supply.
  • Choose suitable field conditions. Avoid extreme wetness, dryness, or temperature, and recent tillage, amendments, or fertilizer unless the sampling design specifically addresses them ⁠[38] ⁠[39]. Regen Ag Lab recommends soil at least 50 °F ⁠[37]. Confirm timing with the receiving laboratory and record departures from the plan.
  • Keep samples cool and ship promptly. Laboratory drying and rewetting does not make field handling irrelevant. Follow the receiving laboratory’s storage, shipping, and holding-time instructions ⁠[37] ⁠[40]. For CEMA 216, obtain the protocol before collection; the current standard calls for cooler or refrigerator storage when samples are not sent immediately, and additional precautions for PLFA ⁠[38].
  • Choose a repeat interval that serves the question. Annual sampling can build a useful record, but a one-year difference is not enough to establish a management trend. NRCS suggests allowing three to five years, or longer in dry regions, to observe consistent improvement ⁠[34]. Purdue discusses a two-year testing interval ⁠[35]; program or research requirements may call for more frequent testing, including annual CEMA 216 sampling ⁠[48].

First identify how the laboratory calculated the credit. Ward’s archived guidance bases organic-N release on the water-extract C:N ratio, respiration, and WEON pool, and caps the credit at the measured WEON pool ⁠[7]. Its older information sheet assigns no N or P mineralization credit above a 20:1 water-extract C:N ratio ⁠[5]. These are model rules. A line labeled “nitrogen savings” expresses an estimated difference from a nitrate-only calculation; it does not establish realized savings or maintained yield ⁠[5].

The 17-site, eight-state corn study found that the Haney N recommendation with expected yield explained at most 28% of variation in economically optimum N rate; the score and CO2 burst each explained about 55% ⁠[13]. That supports further investigation of the indicators, while leaving substantial uncertainty in a rate decision. Minnesota Extension also reports cases where Haney recommendations would have increased N rates relative to its guidelines, and advises against using soil health tests alone to determine fertilizer rates ⁠[41] ⁠[42]. NRCS likewise cautions against using soil health package results for nutrient management planning ⁠[34]. If a package includes conventional fertility analyses, confirm that their methods, sampling, and interpretation meet the applicable local guidance.

If a Haney-based N rate would change management, compare it with the locally recommended rate in small, replicated strips before extending it across the farm ⁠[43]. Record applied N, yield, and net return with an agronomist. Where locally validated, a pre-sidedress nitrate test can inform an in-season corn decision. A late-season stalk nitrate test answers a different question: it helps assess the season’s N management after most fertilizer decisions have already been made ⁠[37]. Neither is interchangeable with a crop-response trial.

For phosphorus and potassium, extraction method is central. Kansas and Tennessee comparisons found that H3A and Mehlich-3 values were related, but conversion errors were too large to transfer existing fertilizer calibrations reliably ⁠[44] ⁠[45]. Iowa researchers tested H3A phosphorus against crop response and found weaker relationships than for Bray-1 and Mehlich-3 in those trials ⁠[46]. This is evidence for using method-specific, regional calibration; it does not show that H3A can never be calibrated. Wisconsin Extension makes the same practical distinction between measuring a nutrient and establishing a fertilizer recommendation ⁠[47].

Correlation between extractants does not establish equivalent fertilizer recommendations. The Iowa study supplies preliminary phosphorus calibration evidence for its soils and crops; it does not establish a national H3A interpretation or a potassium calibration.

Check the current standard and job aid with the Qualified Individual (QI) before ordering. The national documents listed by NRCS as 04-2026 require tests for five processes: aggregation, carbon cycling, microbial activity, carbon food source, and nitrogen food source, plus pH and texture ⁠[38] ⁠[61]. The standard lists WEOC and WEON as alternate methods for the two food-source categories; the April 10, 2026 FAQ explicitly explains their connection to the Haney method ⁠[48]. A 24-hour respiration test can address microbial activity. The Soil Health Score and H3A nutrient credits do not substitute for the required analyses.

A Haney package may therefore supply several required measurements, but the name alone does not establish compliance. Confirm aggregate stability, the accepted organic-carbon method, texture, pH, and every other required method on the actual order. The QI must also arrange the pre-work conference and meet sampling and reporting requirements ⁠[38] ⁠[61]. The FAQ describes an instance as three separate composite samples, each made from five subsamples, and estimates about $150 per sample before shipping ⁠[48]. Confirm the current laboratory qualifications and contracted requirements with the local NRCS office. SHE’s CEMA 216 guide covers the full workflow.

Compare package contents as well as price. Regen Ag Lab lists its Haney package at $60, while Ward lists a $61.90 Soil Health Assessment with different nutrient extraction methods ⁠[52] ⁠[51]. The examples below were checked on September 17, 2026. Prices, turnaround, and package contents can change; request the current specification before ordering.

These are laboratory fees, not total sampling or professional-service costs. CEMA 216 package names and quoted prices do not establish that a particular order meets all requirements. Confirm methods, added fees, sample volume, and turnaround.
  1. Is the comparison fair? Soil, climate, and management history influence indicator values. Use comparable sampling areas and methods rather than ranking unrelated farms by raw scores ⁠[7]. Cornell’s framework uses texture groups for selected indicators, but a scoring framework still needs regional context ⁠[58] ⁠[59].
  2. Is there a sustained change? Compare several observations and their sampling records. A single increase or decrease can reflect season, weather, or recent inputs ⁠[19] ⁠[35].
  3. Does the score answer the farm question? A management-sensitive indicator is not automatically a yield predictor. North Carolina trials found limited discrimination among some long-term systems and no correlation between the tested soil health assessments and yield ⁠[11] ⁠[59]. Keep crop performance and field observations alongside the laboratory record.
  4. What has not been measured? The core Haney indicators do not directly measure infiltration, bulk density, or water-holding capacity ⁠[7]. Use field observations and targeted measurements to investigate rooting, compaction, and water movement ⁠[34]. Distinguish inherent context, such as texture, from management-responsive conditions, such as pH.
  5. Whose benchmark is being used? Ward’s archived “above 7” guidance is a laboratory interpretation, not a universal pass mark ⁠[5] ⁠[7]. Purdue notes that the Haney calculation has no defined “high” threshold ⁠[35]. A nearby perennial reference area can provide context when soil and landscape position are comparable, but it is not automatically an attainable cropping-system target ⁠[60] ⁠[34].

Write down the decision the test should support, then confirm the laboratory’s package, methods, and handling instructions. Save the component results and score formula with the sampling record. If the report suggests a different fertilizer rate, review its local evidence with an agronomist and plan a field comparison. On the next sampling round, return to comparable locations and conditions so the record becomes more useful over time.

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  2. Haney, R.L., Haney, E.B., Hossner, L.R., Arnold, J.G. (2010). Modifications to the New Soil Extractant H3A-1: A Multinutrient Extractant. Communications in Soil Science and Plant Analysis 41(12):1513-1523. https://doi.org/10.1080/00103624.2010.482173https://doi.org/10.1080/00103624.2010.482173
  3. Haney, R.L., Haney, E.B., Hossner, L.R., Arnold, J.G. (2006). Development of a new soil extractant for simultaneous phosphorus, ammonium, and nitrate analysis. Communications in Soil Science and Plant Analysis 37:1511-1523. (USDA-ARS publication record and abstract consulted)https://www.ars.usda.gov/research/publications/publication/?seqNo115=181325
  4. Haney, R.L., Haney, E.B., Smith, D.R., White, M.J. (2017). Removal of lithium citrate from H3A for determination of plant available P. Open Journal of Soil Science 7:301-314. (USDA-ARS publication record consulted)https://www.ars.usda.gov/research/publications/publication/?seqNo115=345545
  5. Ward Laboratories, Inc. Haney / Soil Health Test Information, Rev. 1.0. Archived document at a 2019 upload URL; not a specification for the current package.https://www.wardlab.com/wp-content/uploads/2019/09/Haney-Rev-1.0-Information.pdf
  6. Minnesota Valley Testing Laboratories. Haney—Soil Health Test Information. Undated document at a June 2025 upload URL.https://mvtl.com/wp-content/uploads/2025/06/Haney.pdf
  7. Ward Laboratories, Inc. Haney Test Interpretation Guide v1.0. Archived laboratory guidance; ranges and rankings are observations rather than regional crop-response calibrations.https://www.wardlab.com/wp-content/uploads/2020/02/Haney-Rev-1.0-Interpretation-Guide-PDF-1.pdf
  8. Ward Laboratories, Inc. Haney Report Definitions. Archived document at a 2019 upload URL.https://www.wardlab.com/wp-content/uploads/2019/09/Haney-Definitions-New-Report.pdf
  9. Haney, R.L., Brinton, W.H., Evans, E. (2008). Estimating Soil Carbon, Nitrogen, and Phosphorus Mineralization from Short-Term Carbon Dioxide Respiration. Communications in Soil Science and Plant Analysis 39(17-18):2706-2720. https://doi.org/10.1080/00103620802358862https://mssoy.org/sites/default/files/documents/haney-test.pdf
  10. Morrow, J.G., Huggins, D.R., Carpenter-Boggs, L.A., Reganold, J.P. (2016). Evaluating Measures to Assess Soil Health in Long-Term Agroecosystem Trials. Soil Science Society of America Journal 80(2):450-462. https://doi.org/10.2136/sssaj2015.08.0308 (abstract consulted)https://doi.org/10.2136/sssaj2015.08.0308
  11. Roper, W.R., Osmond, D.L., Heitman, J.L., Wagger, M.G., Reberg-Horton, S.C. (2017). Soil Health Indicators Do Not Differentiate among Agronomic Management Systems in North Carolina Soils. Soil Science Society of America Journal 81:828-843. https://doi.org/10.2136/sssaj2016.12.0400 (abstract consulted; full text paywalled) Associated erratum: https://doi.org/10.2136/sssaj2016.12.0400er (Table 7 yield-unit label and acknowledgment corrected; no change to the conclusions summarized here).https://doi.org/10.2136/sssaj2016.12.0400
  12. Chahal, I., Van Eerd, L.L. (2018). Evaluation of commercial soil health tests using a medium-term cover crop experiment in a humid, temperate climate. Plant and Soil 427:351-367. https://doi.org/10.1007/s11104-018-3653-2 (published abstract consulted)https://doi.org/10.1007/s11104-018-3653-2
  13. Yost, M.A., Veum, K.S., Kitchen, N.R., Sawyer, J.E., Camberato, J.J., Carter, P.R., Ferguson, R.B., Fernandez, F.G., Franzen, D.W., Laboski, C.A., Nafziger, E.D. (2018). Evaluation of the Haney Soil Health Tool for corn nitrogen recommendations across eight Midwest states. Journal of Soil and Water Conservation 73(5):587-592. https://doi.org/10.2489/jswc.73.5.587 (USDA-ARS publication record and abstract consulted)https://www.ars.usda.gov/research/publications/publication/?seqNo115=345992
  14. Chu, M., Singh, S., Walker, F.R., Eash, N.S., Buschermohle, M.J., Duncan, L.A., Jagadamma, S. (2019). Soil Health and Soil Fertility Assessment by the Haney Soil Health Test in an Agricultural Soil in West Tennessee. Communications in Soil Science and Plant Analysis 50(9):1123-1131. https://doi.org/10.1080/00103624.2019.1604731 (abstract consulted)https://doi.org/10.1080/00103624.2019.1604731
  15. Bavougian, C.M., Shapiro, C.A., Stewart, Z.P., Eskridge, K.M. (2019). Comparing Biological and Conventional Chemical Soil Tests in Long-Term Tillage, Rotation, N Rate Field Study. Soil Science Society of America Journal 83:419-428. https://doi.org/10.2136/sssaj2018.06.0240 (abstract consulted)https://doi.org/10.2136/sssaj2018.06.0240
  16. Singh, S., Jagadamma, S., Yoder, D.C., Yin, X., Walker, F. (2020). Agroecosystem management responses to Haney soil health test in the southeastern United States. Soil Science Society of America Journal 84:1705-1721. https://doi.org/10.1002/saj2.20131 (abstract consulted)https://doi.org/10.1002/saj2.20131
  17. Bagnall, D.K., Rieke, E.L., Morgan, C.L.S., Liptzin, D.L., Cappellazzi, S.B., Honeycutt, C.W. (2023). A minimum suite of soil health indicators for North American agriculture. Soil Security 10:100084. https://doi.org/10.1016/j.soisec.2023.100084https://agrilifeorganic.org/wp-content/uploads/2024/08/soil-health-measurements-8.10.24.pdf
  18. Norris, C.E., Mac Bean, G., Cappellazzi, S.B., Cope, M., Greub, K.L.H., Liptzin, D., Rieke, E.L., Tracy, P.W., Morgan, C.L.S., Honeycutt, C.W. (2020). Introducing the North American project to evaluate soil health measurements. Agronomy Journal 112:3195-3215. https://doi.org/10.1002/agj2.20234https://doi.org/10.1002/agj2.20234
  19. Sherbine, K., Frankl, A., Fernandez, F.G., Pease, L., Cates, A.M. (2023). Haney Soil Health Test changes with season, not subsurface drainage. Agricultural & Environmental Letters 8(1): e20098. https://doi.org/10.1002/ael2.20098 (publisher abstract and methods consulted)https://doi.org/10.1002/ael2.20098
  20. Hu, X., Machmuller, M.B., Blecker, S.W., Buchanan, C.M., Aksland, I.B., Firth, A.G., Ippolito, J.A. (2025). Comparing the Soil Management Assessment Framework to the Haney Soil Health Test Across Managed Agroecosystems. Agronomy 15(3):643. https://doi.org/10.3390/agronomy15030643 (abstract consulted)https://doi.org/10.3390/agronomy15030643
  21. Roper, W.R., Osmond, D.L., Heitman, J.L. (2019). A Response to 'Reanalysis Validates Soil Health Indicator Sensitivity and Correlation with Long-term Crop Yields'. Soil Science Society of America Journal 83(6):1842-1845. https://doi.org/10.2136/sssaj2019.06.0198 (abstract consulted)https://doi.org/10.2136/sssaj2019.06.0198
  22. van Es, H.M., Karlen, D.L. (2019). Reanalysis Validates Soil Health Indicator Sensitivity and Correlation with Long-term Crop Yields. Soil Science Society of America Journal 83(3):721-732. https://doi.org/10.2136/sssaj2018.09.0338https://doi.org/10.2136/sssaj2018.09.0338
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Soil Health Exchange Team (2026). The Haney Test: What It Measures and How to Use the Results. Soil Health Exchange. https://soilhealthexchange.com/blog/haney-soil-health-test-what-it-measures

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