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This article in AJ

  1. Vol. 91 No. 3, p. 401-409
     
    Received: Feb 14, 1998
    Published: May, 1999


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doi:10.2134/agronj1999.00021962009100030008x

Decomposition of Surface Crop Residues in Long-Term Studies of Dryland Agroecosystems

  1. Liwang Ma,
  2. Lajpat R. Ahuja *,
  3. Marvin J. Shaffer,
  4. Kenneth W. Rojas,
  5. Gary A. Peterson and
  6. Lucretia Sherrod
  1. D ep. of Soil and Crop Sciences, Fort Collins, CO 80523
    U SDA and Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO 80523.

Abstract

Abstract

Decomposition of surface crop residues is important for agricultural management, especially under conservation tillage. The objective of this study was to test several models for describing crop residue decomposition under three eastern Colorado dryland agroecosystems at Sterling, Stratton, and Walsh with a yearly mean air temperature of 9.7, 10.4, and 12.0°C, respectively. At each site, a soil toposequence common to its geographic region was chosen to include a summit, a sideslope, and a toeslope position, and several crop rotations were practiced under no-till conditions. Grab samples were taken at planting and before harvesting for surface residue measurement since 1985. Simulation results showed that the Douglas-Rickman model described surface crop residue decomposition better than the Gregory model during a 13-year period, based on a normalized objective function (NOF). Our fitted decomposition rate coefficients using the Douglas-Rickman model matched those originally published. The Douglas-Rickman model, which uses a first-order decay with respect to degree-days, was further evaluated against two other first-order decay models: one using a first-order decay equation with respect to decomposition-days and the other assuming a first-order decay with respect to time (d). Although the three approaches performed equally well in terms of NOF values (P = 0.354), fitted decomposition rate coefficients were significantly different (P < 0.012) among the three experiment sites when models based on decomposition-days or on time (in days) were used. Therefore, the Douglas-Rickman model may be more applicable for describing long-term crop residue decomposition because of its consistency in model parameters among experimental sites and simplicity in modeling approach.

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