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Biologically Effective Dose and Selectivity of RPA 201772 for Preemergence Weed Control in Corn (Zea mays)

Published online by Cambridge University Press:  12 June 2017

Stevan Z. Knezevic ,
Peter H. Sikkema ,
Francois Tardif ,
Allan S. Hamill ,
Kevin Chandler  and
Clarence J. Swanton
Stevan Z. Knezevic
Affiliation:
Crop Science Division, Department of Plant Agriculture, University of Guelph, Ontario, Canada NIG 2W1
Peter H. Sikkema
Affiliation:
Ridgetown College, University of Guelph, Ridgetown, Ontario. Canada NOP 2C0
Francois Tardif
Affiliation:
Crop Science Division, Department of Plant Agriculture, University of Guelph, Ontario, Canada NIG 2W1
Allan S. Hamill
Affiliation:
Agriculture and Agri-Food Canada, Harrow, Ontario. Canada NOR 1G0
Kevin Chandler
Affiliation:
Crop Science Division, Department of Plant Agriculture, University of Guelph, Ontario, Canada NIG 2W1
Clarence J. Swanton
Affiliation:
Crop Science Division, Department of Plant Agriculture, University of Guelph, Ontario, Canada NIG 2W1
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Abstract

Field studies were conducted in 1996 and 1997 at three locations throughout southern Ontario with the objective of developing dose-response curves of RPA 201772 for weed control and crop tolerance in corn. The biologically effective doses required to control redroot pigweed, velvetleaf, and wild mustard were 100, 90, and 80 g/ha, respectively. Yellow foxtail was controlled with 100 to 120 g/ha, while rates for common lambsquarters varied from 60 to 130 g/ha, depending on the year and location. Wild buckwheat control was poor (> 30%) at all of the doses tested. RPA 201772 did not reduce corn grain yield; however, temporary crop injury was evident on coarse sandy soils.

Keywords

RPA 201772, 5-cyclopropyl-4-(2-methylsulphonyl-4-trifluoromethyl-benzoyl)isoxazolecorn, Zea mays L.redroot pigweed, Amaranthus retroflexus L. # AMAREvelvetleaf, Abutilon theophrasti Medik. # ABUTHwild mustard, Sinapis arvensis L. # SINARyellow foxtail, Setaria glauca (L.) Beauv. # SETGLcommon lambsquarters, Chenopodium album L. # CHEALwild buckwheat, Polygonum convolvulus L. # POLCOIntegrated weed managementAMAREABUTHSINARSETGLCHEALPOLCODAT, days after treatmentDM, dry matterIWM, integrated weed managementWDM, weed dry matter
Type
Research
Information
Weed Technology , Volume 12 , Issue 4 , December 1998 , pp. 670 - 676
Copyright
Copyright © 1998 by the Weed Science Society of America 

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References

Literature Cited

Anonymous. 1996. Field Crop Recommendations. Ontario Ministry of Agriculture and Food, Publ. 296. 91 p.Google Scholar
Bhowmik, P. C. and Prostak, R. G. 1996. Activity of EXP 31130A in annual weed control in field corn. Weed Sci. Soc. Am. Abstr. 36:40.Google Scholar
Bhowmik, P. C. and Prostak, R. G. 1997. Comparison of preemergence activity of EXP 31130A in annual weed control under conventional-tillage and no-tillage systems. Weed Sci. Soc. Am. Abstr. 37:12.Google Scholar
Bosnic, C. A. and Swanton, C. J. 1997. Economic decision rules for postemergence herbicide control of barnyardgrass (Echinochloa crus-galli) in corn (Zea mays). Weed Sci. 45:557–563.Google Scholar
Brown, D. M. and Bootsma, A. 1993. Crop Heat Units for Corn and Other Warm-Season Crops in Ontario. Ministry of Agriculture and Food and University of Guelph Fact Sheets. Order 93-119, AGDEX 111/31.Google Scholar
Cousens, R. 1985. An empirical model relating crop yield to weed and crop density and a statistical comparison with other models. J. Agric. Sci. 105:513–521.Google Scholar
DeFelice, S. M., Brown, W. B., Aldrich, R. J., Sims, B. D., Judy, D. T., and Guethle, D. R. 1989. Weed control in soybeans (Glycine max) with reduced rates of postemergence herbicides. Weed Sci. 37:365–374.CrossRefGoogle Scholar
Devlin, L. D., Long, J. H., and Maddux, L. D. 1991. Using reduced rates of postemergence herbicides in soybean (Glycine max). Weed Technol. 5:834–840.CrossRefGoogle Scholar
Dieleman, A., Hamill, A. S., Fox, G. C., and Swanton, C. J. 1996. Decision rules for postemergence control of pigweed (Amaranthus spp.) in soybean (Glycine max). Weed Sci. 44:126–132.CrossRefGoogle Scholar
Guther, P., Pestemer, W., Rahman, A., and Nordmeyer, H. 1998. A technique to study the leaching behaviour of sulfonylurea herbicides in different soils. Weed Res. In press.Google Scholar
Hamill, S. A., Zhang, J., and Swanton, C. J. 1995. Reducing herbicide use for weed control in soybean (Glycine max) grown in two soil types in southwestern Ontario. Can. J. Plant Sci. 75:283–292.Google Scholar
Hooker, C. D., Vyn, T. J., and Swanton, C. J. 1997. Effectiveness of soil applied herbicides with mechanical weed control for conservation tillage system in soybean. Agron. J. 89:579–587.CrossRefGoogle Scholar
Luscombe, B. M., Pallett, K. E., Loubiere, P., Millet, J. C., Melgarejo, J., and Vrabel, T. E. 1995. RPA 201772: a novel herbicide for broad leaf and grass weed control in maize and sugarcane. Brighton Crop Prot. Conf. 2:35–42.Google Scholar
[SAS] Statistical Analysis Systems. 1987. SAS/STAT User's Guide. Version 6, 4th ed. Cary, NC: Statistical Analysis Systems Institute. p. 1290.Google Scholar
Seefeldt, S. S., Jensen, J. E., and Fuerst, E. P. 1995. Log-logistic analysis of herbicide dose-response relationships. Weed Technol. 19:218–227.Google Scholar
Sprague, L. C., Kells, J. J., and Penner, D. 1998. Preemergence weed control and corn tolerance in conventional and no-tillage corn with isoxaflutole. Weed Sci. Soc. Am. Abstr. 38:1.23.Google Scholar
Steckel, E. L., DeFelice, M. S., and Sims, B. D. 1990. Integrating reduced rates of postemergence herbicides and cultivation for broad leaf control on soybean (Glycine max). Weed Sci. 38:541–545.Google Scholar
Streibig, J. C. and Kudsk, P. 1993. Herbicide Bioassays. Boca Raton, FL: CRC Press. 270 p.Google Scholar
Swanton, C. J. and Murphy, S. D. 1996. Weed science beyond the weeds: the role of integrated weed management (IWM) in agroecosystem health. Weed Sci. 44:437–445.Google Scholar
Swanton, C. J. and Weise, S. F. 1991. Integrated weed management: the rationale and approach. Weed Technol. 5:648–656.Google Scholar
Young, G. B., Hart, S. E., and Simmons, F. W. 1998. Performance of preemergence applications of isoxaflutole in corn. Weed Sci. Soc. Am. Abstr. 38:1.24.Google Scholar