Weed Thresholds: The Space Component and Considerations for Herbicide Resistance

As an extension of weed threshold models in which crop losses are based on weed density, an altemative model for grass weeds in cereal crops is proposed that incorporates the theoretical importance of selection for herbicide resistance, initial weed population frequency, and weed seed dispersal. Simulations suggest optimum weed population levels (thresholds) for maintaining genotypes that are susceptible to control practices and which minimize crop yield reductions. Weed population frequency, in combination with dispersal and competitive traits may determine optimum weed management strategies. Model simulations indicate that understanding how agricultural practices select for "weedy" traits (e.g. herbicide resistance, competitive ability, dispersal potential) may be important in determining weed density thresholds. Nomenclature: green foxtail, Setaria viridis (L.) Beauv #3 SETVI; spring wheat, Triticum aestivum L. Additional index words: Population models, seed dispersal.

[1]  Clement A. Tisdell,et al.  Weed control economics , 1987 .

[2]  J. Vandermeer,et al.  Ecological genetics and integrated pest management. , 1990 .

[3]  M. L. Roush,et al.  Future Outlook for Herbicide-Resistance Research , 1990, Weed Technology.

[4]  H. Coble,et al.  Common Ragweed (Ambrosia artemisiifolia) Interference in Soybeans (Glycine max) , 1981, Weed Science.

[5]  Integrating Economics and Pest Management , 1976 .

[6]  Ray F. Smith,et al.  THE INTEGRATION OF CHEMICAL AND BIOLOGICAL CONTROL OF , 1959 .

[7]  M. L. Roush,et al.  Prevention and management of herbicide resistant weeds. , 1990 .

[8]  Roger D. Cousens,et al.  Modelling the economics of controlling Avena fatua in winter wheat , 1986 .

[9]  A. Hashem Effect of density, proportion, and spatial arrangement on the competition of winter wheat and Italian ryegrass (Lolium multiflorum Lam) , 1991 .

[10]  M. L. Roush,et al.  Predicting the Evolution and Dynamics of Herbicide Resistance in Weed Populations , 1990, Weed Technology.

[11]  Mark V. Wilson,et al.  Population Modeling Approach for Evaluating Leafy Spurge (Euphorbia esula) Development and Control , 1988, Weed Technology.

[12]  Ray F. Smith,et al.  The integrated control concept , 1959 .

[13]  E. Schweizer,et al.  Powell Amaranth (Amaranthus powellii) Interference in Sugarbeet (Beta vulgaris) , 1985, Weed Science.

[14]  J. H. Combellack,et al.  Estimation of thresholds for weed control in Australian cereals , 1989 .

[15]  C. J. Doyle,et al.  A model of the economics of controlling Alopecurus myosuroides Huds. in winter wheat , 1986 .

[16]  Claudio M. Ghersa,et al.  The population ecology of Datura ferox in soybean crops. A simulation approach incorporating seed dispersal , 1987 .

[17]  Bruce D. Maxwell,et al.  The Influence of Weed Seed Dispersion Versus the Effect of Competition on Crop Yield , 1992, Weed Technology.

[18]  H. Coble,et al.  Pennsylvania Smartweed (Polygonum pensylvanicum) Interference in Soybeans (Glycine max) , 1978, Weed Science.

[19]  R. Cousens,et al.  Theory and reality of weed control thresholds [review]. [Symposium paper] , 1987 .

[20]  C. Tisdell,et al.  Economic thresholds and response to uncertainty in weed control , 1987 .