Hostname: page-component-5c6d5d7d68-wtssw Total loading time: 0 Render date: 2024-08-22T16:18:06.515Z Has data issue: false hasContentIssue false

Monitoring the spread of ACCase inhibitor resistance among wild oat (Avena fatua) patches using AFLP analysis

Published online by Cambridge University Press:  12 June 2017

Ian N. Morrison
Affiliation:
Faculty of Agriculture, Forestry and Home Economics, University of Alberta, Edmonton, Alberta, Canada T6G 2P5
Greg A. Penner
Affiliation:
Cereal Biotechnology Centre, Agriculture and Agri-Foods Canada, University of Manitoba, Winnipeg, Manitoba, Canada R3T 2M9

Abstract

The relative genetic similarity of 37 wild oat samples was determined using amplified fragment length polymorphism (AFLP) analysis. These data were compared with the herbicide-resistance characteristics of each sample to determine the importance of mutation and gene flow in the spread of Acetyl-CoA Carboxylase (ACCase) inhibitor resistance. There was a strong association between the genotypic clustering of samples, their herbicide-resistance characteristics, and their field of origin. Up to eight separate patches in a field were genetically similar, confirming that gene flow by seed movement is important in the distribution of resistant (R) wild oat seed. A greater emphasis on field scouting and treatment of wild oat patches could reduce the spread of resistance within fields. Samples collected from different fields were also found to be genetically similar, indicating that R wild oat was spread between fields. Improved sanitation of tillage and harvesting equipment and the use of certified seed could limit such seed movement.

Type
Weed Biology and Ecology
Copyright
Copyright © 1998 by the Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Current address: Department of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada T6G 2P5

References

Literature Cited

Bourgeois, L., Kenkel, N. C., and Morrison, I. N. 1997. Characterization of cross-resistance patterns in Acetyl-CoA carboxylase inhibitor resistant wild oat (Avena fatua). Weed Sci. 45: 750755.CrossRefGoogle Scholar
Bourgeois, L. and Morrison, I. N. 1997a. Mapping risk areas for resistance to ACCase inhibitor herbicides in Manitoba. Can. J. Plant Sci. 77: 173179.CrossRefGoogle Scholar
Bourgeois, L. and Morrison, I. N. 1997b. A survey of ACCase inhibitor resistant wild oat in a high risk township in Manitoba. Can. J. Plant. Sci. 77: 703708.CrossRefGoogle Scholar
Chauvel, B. and Gasquez, J. 1994. Relationships between genetic polymorphism and herbicide resistant Alopecurus myosuroides Huds. Heredity 72: 336344.CrossRefGoogle Scholar
Cho, Y. G., Blair, M. W., Panaud, O., and McCouch, S. R. 1996. Cloning and mapping of variety-specific rice genomic DNA sequences: amplified fragment length polymorphisms (AFLP) from silver-stained polyacrylamide gels. Genome 39: 373378.CrossRefGoogle ScholarPubMed
Del Sal, G., Manfioletti, G., and Schneider, G. 1989. The CTAB-DNA precipitation method: a common mini-scale preparation of template DNA from phagemids, phages of plasmids suitable for sequences. Biotechniques 7: 514520.Google Scholar
Efron, B. and Gong, G. 1983. A leisurely look at the bootstrap, the jack-knife and the crossvalidation. Am. Stat. 37: 3648.Google Scholar
Gasquez, J. and Compoint, J. P. 1981. Isoenzymatic variations in populations of Chenopodium album L. resistant and susceptible to triazines. Agroecosystems 7: 110.Google Scholar
Gonzalez, J. M. and Ferrer, E. 1993. Random Amplified Polymorphic DNA analysis in Hordeum species. Genome 36: 10291031.CrossRefGoogle ScholarPubMed
Goodwin, M. 1994. An extension program for ACCase inhibitor resistance in Manitoba: a case study. Phytoprotection 75: 97102.CrossRefGoogle Scholar
Heap, I. M., Murray, B. G., Loeppky, H. A., and Morrison, I. N. 1993. Resistance to aryloxyphenoxypropionate and cyclohexanedione herbicides in wild oat (Avena fatua). Weed Sci. 41: 232238.CrossRefGoogle Scholar
Jasieniuk, M., Brule-Babel, A. L., and Morrison, I. N. 1996. The evolution and genetics of herbicide resistance in weeds. Weed Sci. 44: 176193.CrossRefGoogle Scholar
Moodie, M., Finch, R. P., and Marshall, G. 1997. Analysis of genetic variation in wild mustard (Sinapis arvensis) using molecular markers. Weed Sci. 45: 102107.CrossRefGoogle Scholar
Murray, B. G. 1996. Inheritance and Pollen Mediated Gene Flow of Acetyl CoA Carboxylase Inhibitor Resistance in Wild Oat (Avena fatua). . University of Manitoba, Winnipeg, Manitoba, Canada. 133 p.CrossRefGoogle Scholar
Murray, B. G., Friesen, L. F., Beaulieu, K. J., and Morrison, I. N. 1996. A seed bioassay to identify Acetyl-CoA Carboxylase inhibitor resistant wild oat (Avena fatua) populations. Weed Technol. 10: 8589.CrossRefGoogle Scholar
Thill, D. C. and Mallory-Smith, C. A. 1997. The nature and consequence of weed spread in cropping systems. Weed Sci. 45: 337342.CrossRefGoogle Scholar
Vierling, R. A. and Nguyen, H. T. 1992. Use of RAPD markers to determine the genetic diversity of diploid wheat genotypes. Theor. Appl. Genet. 84: 835838.CrossRefGoogle ScholarPubMed
Vos, P., Jogers, R., Bleeker, M., et al. 1995. AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res. 23: 44074414.CrossRefGoogle ScholarPubMed
Warwick, S. I. and Marriage, P. B. 1982. Geographical variations in populations of Chenopodium album resistant and susceptible to atrazine. I. Between- and within- population variation in growth and response to atrazine. Can. J. Bot. 60: 483493.Google Scholar