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Mechanical Impedance of Tillage Pans in Atlantic Coastal Plains Soils and Relationships with Soil Physical, Chemical, and Mineralogical Properties
Author(s) -
Stitt R. E.,
Cassel D. K.,
Weed S. B.,
Nelson L. A.
Publication year - 1982
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj1982.03615995004600010019x
Subject(s) - ultisol , soil water , bulk density , soil science , tillage , kaolinite , coastal plain , cation exchange capacity , soil physics , mineralogy , soil structure , environmental science , hydrology (agriculture) , geology , geotechnical engineering , agronomy , biology , paleontology
Mechanical impedance (MI) is an important property of root‐restricting, tillage‐induced pans common to Ultisols in the Coastal Plain of North Carolina. The relationship between MI and other soil properties is not well understood. The purposes of this study were to quantify selected physical, chemical, and mineralogical properties of tillage pans and to correlate MI to these measurements. Mechanical impedance of tillage‐induced pans at 50 sites in the Coastal Plain of North Carolina was measured with a constant rate cone penetrometer on triplicate, undisturbed soil cores. Sites were selected to give a broad range of measured MI values. Impedance at a soil water pressure (SWP) of ‐0.10 bar ranged from 3.8 to 39.4 kg/cm 2 ; for ‐1.00 bar, 19 to 98 kg/cm 2 . Other measured soil properties included particle size, the particle‐size coefficient of uniformity (CU), bulk density ( D b ), saturated hydraulic conductivity, dense soil angle of repose (DSAR), soil water characteristic, cation exchange capacity (CEC), external and total surface area, free iron oxides, and the amounts of organic matter, Ca, Mg, P, K, Mn, gibbsite, kaolinite, and amorphous silica and alumina. A stepwise regression procedure (maximum R ‐square improvement technique) was used to select the best models relating MI to the measured soil properties. For this grouping of soils, no one physical, chemical, or mineralogical parameter correlated well with MI. The best single variable model was found for P w as the independent variable but this relationship had an R 2 value of only 0.15. The best three‐variable model included P w , DSAR, and D b and had an R 2 = 0.67. When MI data was subjected to a log 10 transformation, the R 2 for the three‐variable model increased to 0.74.