, Volume 117, Issue 1, pp 81–99 | Cite as

Biological indicators of soil quality and soil organic matter characteristics in an agricultural management continuum

  • Kristen S. Veum
  • Keith W. Goyne
  • Robert J. KremerEmail author
  • Randall J. Miles
  • Kenneth A. Sudduth


Relationships among biological indicators of soil quality and organic matter characteristics were evaluated across a continuum of long-term agricultural practices in Missouri, USA. In addition to chemical and physical soil quality indicators, dehydrogenase and phenol oxidase activity were measured, 13C nuclear magnetic resonance (13C NMR) and diffuse reflectance Fourier transform (DRIFT) spectra of soil organic matter were collected, and visible, near-infrared reflectance (VNIR) spectra of whole soil were collected. Enzyme activities were positively correlated with several soil quality indicators and labile fractions of soil organic matter (r = 0.58–0.92), and were negatively correlated with DRIFT indices of decomposition stage and recalcitrance (r = −0.62 to −0.76). A comparison of vegetative and land management practices was scored using the soil management assessment framework (SMAF)—a soil quality index. Perennial vegetation (i.e., native prairie, restored prairie, and timothy) plots exhibited the greatest soil quality (SMAF scores 93.6–98.6 out of 100), followed by no-till and conventionally cultivated plots, with wheat outranking corn. Among fertilization practices, soil quality followed the order: manure > inorganic fertilizer > unamended soil. Finally, in the estimation of soil properties, VNIR spectra generally outperformed DRIFT spectra using partial least squares regression (PLSR) and multiple, linear regression (MLR). The strongest estimates of dehydrogenase and phenol oxidase activity were found using MLR models of VNIR spectra (R2 > 0.78, RPD > 2.20). Overall, this study demonstrates the potential utility and versatility of enzymes in modeling and assessing changes in soil organic carbon fractions and soil quality, and emphasizes the benefits of maintaining long-term agricultural experiments.


Dehydrogenase Diffuse reflectance infrared Fourier transform (DRIFT) Phenol oxidase Nuclear magnetic resonance (NMR) Soil quality Soil management assessment framework (SMAF) Visible near-infrared reflectance (VNIR) 



This work was partially funded through the University of Missouri Center for Agroforestry under cooperative agreements 58-6227-1-004, 58-6227-2-008 and 58-6227-5-029 with the USDA-ARS. Any opinions, findings, conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture. Mention of trade names or commercial products is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture or the University of Missouri. We wish to thank Steve Troesser for field assistance, Dr. Russell Dresbach of the University of Missouri Soil Characterization Lab for analytical assistance, Dr. Wei Wycoff of the University of Missouri NMR Facility for assistance with 13C NMR analyses, Scott Drummond of the USDA-ARS for assistance with VNIR data collection and analysis, and Dr. Diane Stott of the USDA-ARS for helpful comments on the manuscript.


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Copyright information

© US Government 2013

Authors and Affiliations

  • Kristen S. Veum
    • 1
    • 2
  • Keith W. Goyne
    • 1
  • Robert J. Kremer
    • 2
  • Randall J. Miles
    • 1
  • Kenneth A. Sudduth
    • 2
  1. 1.Department of Soil, Environmental and Atmospheric SciencesUniversity of MissouriColumbiaUSA
  2. 2.U.S. Department of Agriculture—Agricultural Research ServiceCropping Systems and Water Quality UnitColumbiaUSA

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