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Predicting Rates of Wheat Residue Decomposition

Remediation Technologies, 22419 72nd Ave. S., Kent, WA 98032

K. L. Bristow

CSIRO, P.O. Aitkeuvale, QLD 4814, Australia

L. F. Elliott^*

USDA-ARS Cotton Res. Stn., 17053 Shafter Ave., Shafter, CA 93263

R. I. Papendick

USDA-ARS, Washington State Univ., Pullman, WA 99164

G. S. Campbell

Washington State Univ., Dep. of Agronomy, Pullman, WA 99164

* Corresponding author.

ABSTRACT

Predicting the rate and extent of decomposition of residues at the soil surface is necessary to evaluate the impacts of minimum-tillage practices on erosion control and thus ensure the most effective use of residues. A mechanistic model simulating the decomposition of surface-managed winter wheat residues was developed and model predictions were compared to results from field studies of decomposition rates. The model consists of two submodels. The first simulates decomposition of the various components of wheat residues (straw, leaves, and chaff) under constant conditions. This submodel requires input on the N content of the residue, and is based on results of laboratory experiments in which respiration was measured. The second submodel uses meteorological data to simulate environmental conditions in the residue layer. This information is combined with laboratory derived estimates of the effects of temperature and moisture to calculate the cumulative decomposition days. To apply the model to field situations, the relationships between respiration and mass loss were estimated experimentally. The effects of added microarthropods and nematodes were also measured, but no effects on respiration were observed in either case. Model predictions agreed well with data from field experiments in which bundled straw was used, but decomposition of straw in litter bags was slower than predicted. When grab samples were used to measure the loss of residues containing leaves, chaff, and straw, the model performed well even across climatic regions until early summer (32–36 wk after residue placement in the field), when residues began to disappear more rapidly than predicted.

Contribution from USDA-ARS in cooperation with the College of Agriculture Res. Ctr., Washington State Univ., Pullman, WA 99164. Scientific Paper no. 7943.

Received for publication February 16, 1988.

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