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Palweed:Wheat: A Bioeconomic Decision Model for Postemergence Weed Management in Winter Wheat (Triticum aestivum)

Published online by Cambridge University Press:  12 June 2017

Tae-Jin Kwon ,
Douglas L. Young ,
Frank L. Young  and
Chris M. Boerboom
Tae-Jin Kwon
Affiliation:
Dep. Agric. Econ., Washington State Univ., Pullman, WA 99164
Douglas L. Young
Affiliation:
Dep. Agric. Econ., Washington State Univ., Pullman, WA 99164
Frank L. Young
Affiliation:
U.S. Dep. Agric., Washington State Univ., Pullman, WA 99164
Chris M. Boerboom
Affiliation:
Crop and Soil Sci., Washington State Univ., Pullman, WA 99164
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Abstract

Based on six years of data from a field experiment near Pullman, WA, a bioeconomic decision model was developed to annually estimate the optimal post-emergence herbicide types and rates to control multiple weed species in winter wheat under various tillage systems and crop rotations. The model name, PALWEED:WHEAT, signifies a Washington-Idaho Palouse region weed management model for winter wheat The model consists of linear preharvest weed density functions, a nonlinear yield response function, and a profit function. Preharvest weed density functions were estimated for four weed groups: summer annual grasses, winter annual grasses, summer annual broadleaves, and winter annual broadleaves. A single aggregated weed competition index was developed from the four density functions for use functions for use in the yield model. A yield model containing a logistic damage function performed better than a model containing a rectangular hyperbolic damage function. Herbicides were grouped into three categories: preplant nonselective, postemergence broadleaf, and postemergence grass. PALWEED:WHEAT was applied to average conditions of the 6-yr experiment to predict herbicide treatments that maximized profit. In comparison to average treatment rates in the 6-yr experiment, the bioeconomic decision model recommended less postemergence herbicide. The weed management recommendations of PALWEED:WHEAT behaved as expected by agronomic and economic theory in response to changes in assumed weed populations, herbicide costs, crop prices, and possible restrictions on herbicide application rates.

Keywords

Winter wheat, Triticum aestivum L. ‘Daws' and ‘Hill 81.’Multi-speciesweed seedling countweed biomassyield response functionoptimization
Type
Weed Biology and Ecology
Information
Weed Science , Volume 43 , Issue 4 , December 1995 , pp. 595 - 603
Copyright
Copyright © 1995 by the Weed Science Society of America 

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