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Rapid Evolution of Herbicide Resistance by Low Herbicide Dosages

  • Sudheesh Manalil (a1) (a2), Roberto Busi (a3), Michael Renton (a3) and Stephen B. Powles (a3)

Abstract

Herbicide rate cutting is an example of poor use of agrochemicals that can have potential adverse implications due to rapid herbicide resistance evolution. Recent laboratory-level studies have revealed that herbicides at lower-than-recommended rates can result in rapid herbicide resistance evolution in rigid ryegrass populations. However, crop-field-level studies have until now been lacking. In this study, we examined the impact of low rates of diclofop on the evolution of herbicide resistance in a herbicide-susceptible rigid ryegrass population grown either in a field wheat crop or in potted plants maintained in the field. Subsequent dose–response profiles indicated rapid evolution of diclofop resistance in the selected rigid ryegrass lines from both the crop-field and field pot studies. In addition, there was moderate level of resistance in the selected lines against other tested herbicides to which the population has never been exposed. This resistance evolution was possible because low rates of diclofop allowed substantial rigid ryegrass survivors due to the potential in this cross-pollinated species to accumulate all minor herbicide resistance traits present in the population. The practical lesson from this research is that herbicides should be used at the recommended rates that ensure high weed mortality to minimize the likelihood of minor herbicide resistance traits leading to rapid herbicide resistance evolution.

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Corresponding author

Corresponding authors's E-mail: stephen.powles@uwa.edu.au

References

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Anderson, J. J., Priester, T. M., and Shalaby, L. M. 1989. Metabolism of metsulfuron methyl in wheat and barley. J. Agr. Food. Chem. 37:14291434.
Bayer, . 2010. Bayer crop science. http://www.bayercropscience.com. Accessed: January 10, 2010.
Beckie, H. J. 2006. Herbicide-resistant weeds: management tactics and practices. Weed. Technol. 20:793814.
Blackshaw, R. E., O'Donovan, J. T., Harker, K. N., Clayton, G. W., and Stougaard, R. N. 2006. Reduced herbicide doses in field crops: a review. Weed Biol. Manag. 6:10617.
Busi, R. and Powles, S. B. 2009. Evolution of glyphosate resistance in a Lolium rigidum population by glyphosate selection at sublethal doses. Heredity. 103:318325.
Christopher, J. T., Preston, C., and Powles, S. B. 1994. Malathion antagonizes metabolism-based chlorsulfuron resistance in Lolium rigidum . Pestic. Biochem. Phys. 49:172182.
Darmency, H. 1994. Genetics of herbicide resistance in weeds. Pages 263295 in Powles, S. B., and Holtum, J. A. M., eds. Herbicide Resistance in Plants: Biology and Biochemistry. Boca Raton, FL Lewis.
de Prado, J. L., Osuna, M. D., Heredia, A., and de Prado, R. 2005. Lolium rigidum, a pool of resistance mechanisms to ACCase inhibitor herbicides. J. Agr. Food. Chem. 53:21852191.
Doyle, P. and Stypa, M. 2004. Reduced herbicide rates—a Canadian perspective. Weed. Technol. 18:11571165.
ffrench-Constant, R. H., Daborn, P. J., and Le Goff, G. 2004. The genetics and genomics of insecticide resistance. Trends. Genet. 20:163170.
Forthoffer, N., Helvig, C., Dillon, N., Benveniste, I., Zimmerlin, A., Tardif, F., and Salaun, J. P. 2001. Induction and inactivation of a cytochrome P450 conferring herbicide resistance in wheat seedlings. Eur. J. Drug Metab. Ph. 26:916.
Groeters, F. R. and Tabashnik, B. E. 2000. Roles of selection intensity, major genes, and minor genes in evolution of insecticide resistance. J. Econ. Entomol. 93:15801587.
Hall, L. M., Holtum, J. A. M., and Powles, S. B. 1994. Mechanism responsible for cross resistance and multiple resistance. Pages 243261 in Powles, S. B., and Holtum, J. A. M., eds. Herbicide Resistance in Plants: Biology and Biochemistry. Boca Raton, FL Lewis.
Heap, I. 2010. The International Survey of Herbicide-Resistant Weeds. http://www.weedscience.org. Accessed: January 25, 2010.
Hidayat, I. and Preston, C. 2001. Cross-resistance to imazethapyr in a fluazifop-P-butyl-resistant population of Digitaria sanguinalis . Pestic. Biochem. Phys. 71:190195.
Jasieniuk, M., BruleBabel, A. L., and Morrison, I. N. 1996. The evolution and genetics of herbicide resistance in weeds. Weed. Sci. 44:176193.
Knezevic, S. Z., Streibig, J. C., and Ritz, C. 2007. Utilizing R software package for dose–response studies: the concept and data analysis. Weed. Technol. 21:840848.
Letouze, A. and Gasquez, J. 2003. Enhanced activity of several herbicide-degrading enzymes: a suggested mechanism responsible for multiple resistance in blackgrass (Alopecurus myosuroides Huds.). Agronomie. 23:601608.
Manalil, S. 2010. Measurement and Modelling of Herbicide Resistance Evolution in Lolium rigidum at Low Rates of Herbicide Application. PhD dissertation. Crawley, Western Australia The University of Western Australia. 183 p.
McKenzie, J. A. 2000. The charecter or the variation: the genetic analysis of the insecticide resistance phenotype. B. Entomol. Res. 90:37.
McKenzie, J. A. and Batterham, P. 1994. The genetic, molecular and phenotypic consequences of selection for insecticide resistance. Trends. Ecol. Evol. 9:166169.
Neve, P. 2007. Challenges for herbicide resistance evolution and management: 50 years after Harper. Weed. Res. 47:365369.
Neve, P. and Powles, S. B. 2005a. High survival frequencies at low herbicide use rates in populations of Lolium rigidum result in rapid evolution of herbicide resistance. Heredity. 95:485492.
Neve, P. and Powles, S. B. 2005b. Recurrent selection with reduced herbicide rates results in the rapid evolution of herbicide resistance in Lolium rigidum . Theor. Appl. Genet. 110:11541166.
Owen, M. J., Walsh, M. J., Llewellyn, R. S., and Powles, S. B. 2007. Widespread occurrence of multiple herbicide resistance in Western Australian annual ryegrass (Lolium rigidum) populations. Aust. J. Agr. Res. 58:711718.
Powles, S. B. and Yu, Q. 2010. Evolution in action:plants resistant to herbicides. Annu. Rev. Plant. Biol. 61:317347.
Preston, C. 2004. Herbicide resistance in weeds endowed by enhanced detoxification: complications for management. Weed Sci. 52:448453.
Renton, M. 2009. The weeds fight back: Individual-based simulation of evolution of polygenic resistance to herbicides. Pages 574580 in Anderssen, R. S. Braddock, R. D., and Newham, L. T. H., 18th World IMACS Congress and MODSIM09. International Congress on Modelling and Simulation. MSSANZ and IMACS, http://www.mssanz.org.au/modsim09/.
R Development Core Team. 2009. R: A language and environment for statistical computing. R foundation for statistical computing- http://www.R-project.org. Accessed: November 25, 2009.
Ritz, C. and Streibig, J. C. 2005. Bioassay analysis using R. J. Stat. Softw. 12:122.
Roush, R. T. and McKenzie, J. A. 1987. Ecological genetics of insecticide and acaricide resistance. Annu. Rev. Entomol. 32:361380.
Steadman, K. J. 2004. Dormancy release during hydrated storage in Lolium rigidum seeds is dependent on temperature, light quality, and hydration status. J. Exp. Bot. 55:929937.
Wauchope, R. D., Sumner, H. R., and Dowler, C. C. 1997. A measurement of the total mass of spray and irrigation mixtures intercepted by small whole plants. Weed. Technol. 11:466472.
Yuan, J. S., Tranel, P. J., and Stewart, C. N. 2007. Non-target-site herbicide resistance: a family business. Trends. Plant. Sci. 12:613.
Zhang, Z. H., Weaver, S. E., and Hamill, A. S. 2000. Risks and reliability of using herbicides at below-labeled rates. Weed Technol. 14:106115.

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