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Corn Poppy (Papaver rhoeas) Resistance to ALS-Inhibiting Herbicides and its Impact on Growth Rate

Published online by Cambridge University Press:  20 January 2017

Nikolaos S. Kaloumenos
Affiliation:
Laboratory of Agronomy, School of Agriculture, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Ilias G. Eleftherohorinos*
Affiliation:
Laboratory of Agronomy, School of Agriculture, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
*
Corresponding author's E-mail: eleftero@agro.auth.gr

Abstract

Fifty corn poppy populations originating from three counties of northern Greece were evaluated for resistance to tribenuron. Twelve of the populations (six sampled from cereal fields and six from margins) were sampled from the county of Thessaloniki, 15 (13 sampled from wheat fields and two from margins) from Kilkis, and 23 (21 sampled from cereal fields and two from margins) from Serres. Fifty, 39, and 95% of the populations sampled from winter wheat fields originating from Thessaloniki, Kilkis, and Serres were resistant (R), respectively. However, all populations sampled from margins of the same areas were susceptible (S). All populations examined were susceptible to 2,4-D and bromoxynil. The level of resistance to tribenuron varied among populations with the herbicide dose required to reduce growth by 50% (GR50) ranging from 41 g ha−1 (R/S, resistance ratio 137) for the least resistant to over 720 g ha−1 (R/S greater than 2,400) for the most resistant populations. Fresh weight accumulation, seed production, and capsule number of eight R populations grown under field conditions were similar to those recorded for eight S populations originating from sites with high proximity of their respective R populations. However, the estimated mean growth rate (MGR) indicated significant differences due to the resistance trait and the population's origin. In particular, the R populations that originating from Thessaloniki and Serres had MGR 1.3 to 4.3 times lower than the respective S populations, whereas the R populations from Kilkis had similar or higher MGR values compared to the respective S populations. The populations with the highest R/S (greater than 2,400) had low MGR values, and the populations with R/S ranging from 1,437 to 2,227 had high MGR values.

Type
Physiology, Chemistry, and Biochemistry
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Ahrens, W. H. and Stoller, E. W. 1983. Competition, growth rate, and CO2 fixation in triazine-susceptible and -resistant smooth pigweed (Amaranthus hybridus). Weed Sci. 31:438444.Google Scholar
Alcocer-Ruthling, M., Thill, D. C., and Shafii, B. 1992. Differential competitiveness of sulfonylurea resistant and susceptible prickly lettuce (Lactuca serriola). Weed Technol. 6:303309.Google Scholar
Beckie, H. J., Heap, I. M., Smeda, R. J., and Hall, L. M. 2000. Screening for herbicide resistance in weeds. Weed Technol. 14:428445.Google Scholar
Christoffers, M. J. 1999. Genetic aspects of herbicide-resistance weed management. Weed Technol. 13:647652.Google Scholar
Christoffoleti, P. J., Westra, P., and Moore, F. 1997. Growth analysis of sulfonylurea-resistant and susceptible kochia (Kochia scoparia). Weed Sci. 45:691695.Google Scholar
Christopher, J. T., Powles, S. B., Liljegren, D. R., and Holtum, J. A. M. 1991. Cross-resistance to herbicides in annual ryegrass (Lolium rigidum). II. Chlorsulfuron resistance involves a wheat-like detoxification system. Plant Physiol. 95:10361043.Google Scholar
Cirujeda, A., Recasens, J., and Tabernet, A. 2001. A qualitative quick-test for detection of herbicide resistance to tribenuron in Papaver rhoeas . Weed Res. 41:523534.Google Scholar
Claude, J. P., Gabard, J., De Prado, R., and Taberner, A. 1998. An ALS-resistant population of Papaver rhoeas in Spain. Pages 141147. in. Proceedings of the Compte Rendu XVII Conference Columa, Journees Internationales sur la Lutte contre les Mauvaises Herbes. Montpelier, France ANPP.Google Scholar
Durán-Prado, M., Osuna, M. D., De Prado, R., and Franco, A. R. 2004. Molecular basis of resistance to sulfonylureas in Papaver rhoeas . Pestic. Biochem. Physiol. 42:110118.Google Scholar
Hashem, A., Bowran, D., Piper, T., and Dhammu, H. 2001. Resistance of wild radish (Raphanus raphanistrum) to acetolactate synthase-inhibiting herbicides in the Western Australia wheat belt. Weed Technol. 15:6874.Google Scholar
Heap, I. 2008. International Survey of Herbicide Resistant Weeds. www.weedscience.com. Accessed: January 23, 2008.Google Scholar
Hirschberg, J. and McIntosh, L. 1983. Molecular basis of herbicide resistance in Amaranthus hybridus . Science. 222:13461349.Google Scholar
Lawrence, M. J., Afzal, M., and Kenrick, J. 1978. The genetic control of self-incompatibility in Papaver rhoeas . Heredity. 40:239253.Google Scholar
LeBaron, H. M. 1987. Genetic engineering for herbicide resistance—Introduction. Weed Sci. 35:23. (Suppl. 1).Google Scholar
Llewellyn, R. S. and Powles, S. B. 2001. High levels of herbicide resistance in rigid ryegrass (Lolium rigidum) in the wheat belt of Western Australia. Weed Technol. 15:242248.Google Scholar
Lovell, S. T., Wax, L. M., Simpson, D. M., and McGlamery, M. 1996. Using the in vivo acetolactate synthase (ALS) assay for identifying herbicide-resistant weeds. Weed Technol. 10:936942.Google Scholar
Mitich, L. W. 2000. Corn poppy (Papaver rhoeas L.). Weed Technol. 14:826829.Google Scholar
Neve, P. 2007. Challenges for herbicide resistance evolution and management: 50 years after Harper. Weed Res. 47:365369.Google Scholar
Poma, I., Venezia, G., Saladino, S., Gristina, G., Ferrotti, F., and Mirabile, C. 2004. Durum wheat growth analysis in a semi-arid environment in relation to crop rotation and nitrogen rate. Options Méditerranéennes. 60:209212.Google Scholar
Poston, H. D., Wilson, H. P., and Hines, T. E. 2002. Growth and development of imithazolinone-resistant and susceptible pigweed biotypes. Weed Sci. 50:485493.Google Scholar
Preston, C. 2004. Herbicide resistance in weeds endowed by enhanced detoxification: compilations for management. Weed Sci. 52:448453.Google Scholar
Richards, F. J. 1959. A flexible growth function for empirical use. J. Exp. Bot. 10:290300.Google Scholar
Saari, L. L., Cotterman, J. C., and Thill, D. C. 1994. Resistance to acetolactate synthase inhibiting herbicides. Pages 83139. in Powles, S. B. and Holtum, J. A. M. Herbicide Resistance in Plants: Biology and Biochemistry. Boca Raton, FL CRC.Google Scholar
Seefeldt, S. S., Jensen, J. E., and Fuerst, E. P. 1995. Log-logistic analysis of herbicide rate-response relationships. Weed Technol. 9:218227.Google Scholar
Sibony, M. and Rubin, B. 2003. The ecological fitness of ALS-resistant Amaranthus retroflexus and multiple-resistant Amaranthus blitoides . Weed Res. 43:4047.Google Scholar
StatSoft, Inc 2004. STATISTICA (data analysis software system), version 7. Tulsa, OK: StatSoft.Google Scholar
StatSoft, Inc 2007. Electronic Statistics Textbook. Tulsa, OK: StatSoft. http://www.statsoft.com/textbook/stathome.html Accessed: August 1, 2007.Google Scholar
Stidham, M. A. 1991. Herbicides that inhibit acetolactate synthase. Weed Sci. 39:428434.Google Scholar
Thomson, C. R., Thill, D. C., and Shafii, V. 1994. Growth and competitiveness of sulfonylurea-resistant and -susceptible kochia (Kochia scoparia). Weed Sci. 42:172179.Google Scholar
Tranel, P. J. and Wright, T. R. 2002. Resistance of weeds to ALS-inhibiting herbicides: what have we learned. Weed Sci. 50:700712.CrossRefGoogle Scholar
Walsh, M. J., Powles, S. B., Beard, B. R., and Porter, S. A. 2004. Multiple-herbicide resistance across four modes of action in wild radish (Raphanus raphanistrum). Weed Sci. 52:813.CrossRefGoogle Scholar
Wilson, B. J., Wright, K. J., Brain, P., Clements, M., and Stephens, E. 1995. Predicting the competitive effects of weed and crop density weed biomasss, weed seed production and crop yield in wheat. Weed Res. 35:265278.Google Scholar