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Response of Corn to Simulated Glyphosate Drift Followed by In-Crop Herbicides

Published online by Cambridge University Press:  20 January 2017

Lynette R. Brown ,
Darren E. Robinson ,
Bryan G. Young ,
Mark M. Loux ,
William G. Johnson ,
Robert E. Nurse ,
Clarence J. Swanton  and
Peter H. Sikkema
Lynette R. Brown*
Affiliation:
Department of Plant Agriculture, University of Guelph Ridgetown Campus, Ridgetown, Ontario, Canada N0P 2C0
Darren E. Robinson
Affiliation:
Department of Plant Agriculture, University of Guelph Ridgetown Campus, Ridgetown, Ontario, Canada N0P 2C0
Bryan G. Young
Affiliation:
Department of Plant, Soil, and Agricultural Systems, Southern Illinois University, Carbondale IL 62901
Mark M. Loux
Affiliation:
Department of Horticulture and Crop Science, Ohio State University, Columbus, OH 43210
William G. Johnson
Affiliation:
Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907–2054
Robert E. Nurse
Affiliation:
Agriculture and Agri-Food Canada, Harrow, Ontario, Canada N0R 1G0
Clarence J. Swanton
Affiliation:
Department of Plant Agriculture, University of Guelph, Guelph, Ontario, Canada N1G 2W1
Peter H. Sikkema
Affiliation:
Department of Plant Agriculture, University of Guelph Ridgetown Campus, Ridgetown, Ontario, Canada N0P 2C0
*
Corresponding author's E-mail: [email protected].
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Abstract

Thirteen field experiments were conducted in Illinois, Indiana, Ohio, and Ontario from 2005 to 2007 to determine the effects of simulated glyphosate drift followed by in-crop applications of nicosulfuron/rimsulfuron plus dicamba/diflufenzopyr or foramsulfuron plus bromoxynil plus atrazine on nontransgenic corn injury, height, stand count, shoot dry weight, and yield. Simulated glyphosate drift at 100 and 200 g/ha, resulted in 11 to 61% visual crop injury and a 19 to 45% decrease in corn height. Simulated glyphosate drift at 200 g/ha caused a reduction in shoot dry weight by 46%, stand count by 28% and yield by 49 to 56%. Generally, simulated glyphosate drift followed by the in-crop herbicides resulted in an additive response with respect to visual crop injury, height, stand count, shoot dry weight, and yield.

Keywords

Atrazinebromoxynildicamba/diflufenzopyrforamsulfuronglyphosatenicosulfuron/rimsulfuroncorn, Zea mays L.Additivecrop injuryherbicide driftherbicide interactionsynergism
Type
Weed Management—Major Crops
Information
Weed Technology , Volume 23 , Issue 1 , March 2009 , pp. 11 - 16
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Al-Khatib, K., Claassen, M. M., Stahlman, P. W., Geier, P. W., Regehr, D. L., Duncan, S. R., and Heer, W. F. 2003. Grain sorghum response to simulated drift from glufosinate, glyphosate, imazethapyr, and sethoxydim. Weed Technol 17:261–265.Google Scholar
Al-Khatib, K., Currie, R. S., Maddux, L. D., Thompson, C. R., and Price, T. M. 2000. Corn response to simulated herbicide drift. Proc. N. Cent. Weed Sci. Soc 55:5–6.Google Scholar
Al-Khatib, K., Gealy, D., and Boerboom, C. 1994. Effect of droplet size and thifensulfuron concentration on phytotoxicity in pea. Weed Sci 42:482–486.Google Scholar
Al-Khatib, K. and Peterson, D. 1999. Soybean (Glycine max) response to simulated drift from selected sulfonylurea herbicides: dicamba, glyphosate, and glufosinate. Weed Technol 13:264–270.Google Scholar
Bunting, J. A., Sprague, C. L., and Riechers, D. E. 2004. Corn tolerance as affected by the timing of foramsulfuron applications. Weed Technol 18:757–762.Google Scholar
Burnside, O. C. 1992. Rationale for developing herbicide-resistant crops. Weed Technol 6:621–625.CrossRefGoogle Scholar
Colby, S. R. 1967. Calculating synergistic and antagonistic responses of herbicide combinations. Weeds 15:20–22.CrossRefGoogle Scholar
Deeds, Z. A., Al-Khatib, K., Peterson, D. E., and Stahlman, P. W. 2006. Wheat response to simulated drift of glyphosate and imazamox applied at two growth stages. Weed Technol 20:23–31.CrossRefGoogle Scholar
Doohan, D. J., Ivany, J. A., White, R. P., and Thomas, W. 1998. Tolerance of early maturing corn (Zea mays) hybrids to DPX-79406. Weed Technol 12:41–46.Google Scholar
Ellis, J. M. and Griffin, J. L. 2002. Soybean (Glycine max) and cotton (Gossypium hirsutum) response to simulated drift of glyphosate and glufosinate. Weed Technol 16:580–586.Google Scholar
Ellis, J. M., Griffin, J. L., and Jones, C. A. 2002. Effect of carrier volume on corn (Zea mays) and soybean (Glycine max) response to simulated drift of glyphosate and glufosinate. Weed Technol 16:587–592.Google Scholar
Ellis, J. M., Griffin, J. L., Linscombe, S. D., and Webster, E. P. 2003. Rice (Oryza sativa) and corn (Zea mays) response to simulated drift of glyphosate and glufosinate. Weed Technol 17:452–460.Google Scholar
Ellis, J. M., Griffin, J. L., Linscombe, S. D., Webster, E. P., and Godley, J. L. 1999. Crop response to Roundup Ultra and Liberty simulated drift. Proc. South. Weed Sci 52:256–257.Google Scholar
Griffin, J. L., Ellis, J. M., Jones, C. A., Siebert, J. D., Webster, E. P., and Linscombe, S. D. 2003. Reducing roundup drift. Louisiana Agriculture 46:16–18.Google Scholar
Koger, C. H., Shaner, D. L., Krutz, L. J., Walker, T. W., Buehring, N., Henry, W. B., Thomas, W. E., and Wilcut, J. W. 2005. Rice (Oryza sativa) response to drift rates of glyphosate. Pest Manag. Sci 61:1161–1167.Google Scholar
Kurtz, M. E. and Street, J. E. 2003. Response of rice (Oryza sativa) to glyphosate applied to simulate drift. Weed Technol 17:234–238.Google Scholar
Lich, J. M., Renner, K. A., and Penner, D. 1997. Interaction of glyphosate with postemergence soybean (Glycine max) herbicides. Weed Sci 45:12–21.Google Scholar
Matthews, S. G., Brawley, P. A., and Hayes, R. M. 1998. Effect of glyphosate drift on non-glyphosate tolerant corn. Proc. South. Weed Sci. Soc 51:259–260.Google Scholar
Padgette, S. R., Kolacz, K. H., Delannay, X., Re, D. B., LaVallee, B. J., Tinius, C. N., Rhodes, W. K., Otero, Y. I., Barry, G. F., Eichholtz, D. A., Peschke, V. M., Nida, D. L., Taylor, N. B., and Kishore, G. M. 1995. Development, identification, and characterization of a glyphosate-tolerant soybean line. Crop Sci 35:1451–1461.Google Scholar
Rao, A. S. and Reddy, K. N. 1999. Purple nutsedge (Cyperus rotundus) and sicklepod (Senna obtusifolia) response to glyphosate mixtures with ALS-inhibiting herbicides. Weed Technol 13:361–366.Google Scholar
Roider, C. A., Griffin, J. L., Harrison, S. A., and Jones, C. A. 2007. Wheat response to simulated glyphosate drift. Weed Technol 21:1010–1015.Google Scholar
Rowland, C. D. Jr., Reynolds, D. B., and Blackley, R. H. Jr. 1999. Corn and cotton response to drift rates of non-desired herbicide applications. Proc. South. Weed Sci. Soc 52:30.Google Scholar
Starke, R. J. and Oliver, L. R. 1998. Interaction of glyphosate with chlorimuron, fomesafen, imazethapyr, and sulfentrazone. Weed Sci 46:652–660.Google Scholar
Thomas, W. E., Burke, I. C., Robinson, B. L., Pline-Srnić, W. A., Edmisten, L., Wells, R., and Wilcut, J. W. 2005. Yield and physiological response of nontransgenic cotton to simulated glyphosate drift. Weed Technol 19:35–42.Google Scholar
Vencill, W. K., editor. 2002. Herbicide Handbook. 8th ed. Lawrence, KS: Weed Science Society of America. 493.Google Scholar
Wyse, D. L. 1992. Future impact of crops with modified herbicide resistance. Weed Technol 6:665–668.Google Scholar