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Factors Affecting the Toxicity of MON 37500 Residues to Following Crops

Published online by Cambridge University Press:  20 January 2017

James R. Moyer  and
William M. Hamman
James R. Moyer*
Affiliation:
Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, Alberta T1J 4B1, Canada
William M. Hamman
Affiliation:
Monsanto Canada Inc., Coalhurst Alberta T0L 0V0, Canada
*
Corresponding author's E-mail: moyer@em.agr.ca.
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Abstract

MON 37500 was registered in 1999 for weed control in wheat and has the potential to injure following crops. Therefore, growth chamber experiments were conducted to determine the effect of soil properties on the phytotoxicity of MON 37500 residues, the relative tolerance of several potential rotational crops, and the joint effect of MON 37500 residues plus other herbicide residues on a susceptible crop. In 13 Alberta soils, the concentrations of MON 37500 and triasulfuron that reduced canola and barley dry matter by 50% (GR50) were correlated with soil organic matter (OM) and pH. The relationship that best described the effect of soil organic matter on GR50 for each herbicide–crop combination was GR50 = a + b(OM)2. There was no significant improvement in r2 when pH and clay content were included in the equation. For soils with 2 and 10% OM content, predicted GR50 values for canola in MON 37500–treated soil are 2 and 26 ηg/g soil, respectively. Little injury to following canola is predicted in soils with OM contents > 4.5%. At similar concentrations, following crops such as canola, flax, lentil, and oriental mustard are predicted to be injured less by MON 37500 than by triasulfuron. The effect of combined residues of MON 37500 with triasulfuron, imazethapyr, or metsulfuron should be additive.

Keywords

ImazethapyrmetsulfuronMON 37500, 1-(4,6-dimethoxypyrimidin-2-yl)-3-(2-ethanesulfonylimidazo[1,2-a]pyridine-3yl)sulfonylureatriasulfuronbarley, Hordeum vulgare L.canola, Brassica napus L.flax, Linum usitatissimum L.lentil, Lens culinaris Medicoriental mustard, Brassica juncea L.wheat, Triticum aestivum L.Crop rotationherbicide residuepHsoil organic matterGR50, growth measurement corresponding to 50% of the untreatedOM, soil organic matter
Type
Research
Information
Weed Technology , Volume 15 , Issue 1 , March 2001 , pp. 42 - 47
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Amundson, R. G., Trask, J., and Pendall, E. 1988. A rapid method of soil carbonate analysis using gas chromatography. Soil Sci. Soc. Am. J. 52: 880–883.Google Scholar
Anonymous. 2000. Crop Protection with Chemicals. Agdex 606-1. Edmonton, AB, Canada: Alberta Agriculture, Food and Rural Development. 462 p.Google Scholar
Beyer, E. M. Jr., Duffy, M. J., Hay, J. V., and Schlueter, D. D. 1988. Sulfonylureas. In Kearney, P. C. and Kaufman, D. D., eds. Herbicides: Chemistry, Degradation, and Mode of Action. Volume 3. New York: Marcel-Dekker. pp. 117–187.Google Scholar
Colby, S. R. 1967. Calculating synergistic and antagonistic responses of herbicide combinations. Weed Sci. 15: 20–22.Google Scholar
Friesen, G. H. and Wall, D. A. 1991. Residual effects of CGA-131036 and chlorsulfuron on spring-sown rotational crops. Weed Sci. 39: 280–283.Google Scholar
Gonese, J. U. and Weber, J. B. 1998. Herbicide rate recommendations: soil parameter equations vs. registered rate recommendations. Weed Technol. 12: 235–242.Google Scholar
Hance, R. J. 1984. Herbicide residues in the soil: some aspects of their behaviour and agricultural significance. Aust. Weeds 3: 26–34.Google Scholar
Moyer, J. R. 1995. Sulfonylurea herbicide effects on following crops. Weed Technol. 9: 373–379.Google Scholar
Moyer, J. R. and Boswall, A. L. 1997. Effects of MON-37500 residues on rotational crops 11 months after application at Lethbridge Alberta. Saskatoon, SK: Expert Committee on Weeds Research Report. 279 p.Google Scholar
Moyer, J. R. and Esau, R. 1996. Imidazolinone herbicide effects on following rotational crops in southern Alberta. Weed Technol. 10: 100–106.CrossRefGoogle Scholar
Nicholls, P. H. and Evans, A. A. 1991. Sorption of ionizable organic compounds by field soils. Part I. Acids. Pestic. Sci. 33: 319–330.CrossRefGoogle Scholar
[SAS] Statistical Analysis Systems. 1999a. SAS/Stat User's Guide, Version 8. Cary, NC: Statistical Analysis Systems Institute. 3,884 p.Google Scholar
[SAS] Statistical Analysis Systems. 1999b. SAS Procedures Guide, Version 8. Cary, NC: Statistical Analysis Systems Institute. 1,643 p.Google Scholar
Seefeldt, S. S., Jensen, J. E., and Fuerst, E. P. 1995. Log-logistic analysis of herbicide dose response relationships. Weed Technol. 9: 218–227.Google Scholar
Shinn, S. L., Thill, D. C., Price, W. J., and Ball, D. A. 1998. Response of downy brome (Bromus tectorum) and rotational crops to MON 37500. Weed Technol. 12: 690–698.Google Scholar
Soil Classification Working Group. 1998. The Canadian system of soil classification. 3rd ed. Ottawa, ON: Agriculture and Agri-Food Canada Research Branch Publ. Ottawa, ON646. 187 p.Google Scholar
Soil Survey Staff. 1999. Soil taxonomy. A basic system of soil classification for making and interpreting soil surveys. 2nd ed. Washington, DC: USDA. Handbook 436. 869 pp.Google Scholar
[WSSA] Weed Science Society of America. 1994. Herbicide Handbook 7th ed. Lawrence, KS: Weed Science Society of America. pp. 287–289.Google Scholar
[WSSA] Weed Science Society of America. 1998. Herbicide Handbook. Supplement to 7th ed. Lawrence, KS: Weed Science Society of America. pp. 49–51.Google Scholar