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Model of rice (Oryza sativa) yield reduction as a function of weed interference

Published online by Cambridge University Press:  12 June 2017

Karl W. VanDevender ,
Thomas A. Costello  and
Roy J. Smith Jr.
Karl W. VanDevender
Affiliation:
Cooperative Extension Service, University of Arkansas, Little Rock, AR 72202
Roy J. Smith Jr.
Affiliation:
Agricultural Research Service, USDA, Stuttgart, AR 72160
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Abstract

Economic assessment of weed management strategies in rice is dependent upon a quantitative estimate of the yield impact of a given weed population. To assist rice producers in making such assessments, a mathematical model was developed to predict rice yield reduction as a function of weed density and duration of interference. The nonlinear empirical model was a unique 3-dimensional adaptation of the Richards equation with 4 parameters. Using published data, individual parameter values were fitted for each of 6 weed species interfering with either conventional or semi-dwarf statured rice cultivars. The functional form of the equation produced surfaces that were qualitatively consistent with available data and experience regarding rice-weed biology. Hence, predictions from the model should be useful and reliable in assessing the economic impact of weeds and in determining the feasibility of alternative weed control treatments for various field scenarios.

Keywords

RiceOryza sativa L.Weed densityduration of interferenceweed control economicsmathematical modelresponse surfaceRichards equation
Type
Weed Biology and Ecology
Information
Weed Science , Volume 45 , Issue 2 , April 1997 , pp. 218 - 224
Copyright
Copyright © 1997 by the Weed Science Society of America 

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Footnotes

Published with the approval of the Director, Arkansas Agricultural Experiment Station, Manuscript No. 95055.

References

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