Assessment of the Impact of Farming and Management Factors on Tribenorun Methyl Resistance of Wild Mustard (Sinapis arvensis) in Wheat Fileds of Golestan Province

Document Type : Research Paper

Authors

university of mohaghegh Ardabili

Abstract

A study was conducted to evaluate the impact of farming and management factors on resistance of wild mustard to tribenorun methyl in Golestan province in collaboration with the Iranian Research Institute of Plant Protection and Mohaghegh Ardabili University from 2014 to 2016. Relative resistance was determined by screening the collected seeds of suspicious biotypes from all regions of the Golestan province. The relationship between herbicide resistance and farm records from agricultural, management and technical aspects was evaluated by ordinal logistic regression model of proportional odds models. The result showed that crop rotation and wild mustard density had significant impacts on the development of resistance at 95 percent level of probability. Under regular spring rotation, the risk of resistance was 6.165 times lower than the reference rotation (autumn rotation). Wild mustard at high density (reference density) had 3.69 times greater risk of developing resistance than of the lower density. Type of tillage, sowing date and irregular use of herbicides compared with farmer’s lack of awareness of technical issues had no significant effect on the risk of resistance. Determining the effects of different factors in the development of herbicide resistance might result in more effective management of weeds.

Keywords

References

Abdollahipour, M., Gherekhloo, J. and Bagherani, N. 2013. Assessment of relative fitness of resistant Sinapis arvensis biotypes to Tribenuron Methyl herbicide in vitro. Journal of Knowledge of weeds, Vol.5, No. 1. Pp. 35 -48.
Abreu, M.N., Siweira, A.L., Cardoso, C.S. and Caiaffa, W.T. 2008. Ordinal logestic regression models: application in quality of life studies. Cad Saude Puplica; 24 supp. 4:581-591.
Blackshow, R.E., Anderson, G.W., and Dekker, J. 1987. Interference of (Sinapis arvensis L.). and(‌Chenopodium album L.) in rapeseed (Brassica napus). Weed Res. 27:207-213.
Ananth, C.V. and Kleinbaum, D.G. 1997. Regression models for ordinal responses: a review of methods and applications. Int. J. Epidemology. Dec; 26:1323-1333.
Hatzler, B., 2000. Weed population dynamics. In: Proceeding of the‌ Intergrated Crop Management Conference, 20-29 November, A mes,Iowa, USA.
Heap, I.M. 2018. The international Survey of Herbicide Resistance Weeds. Available at: http://www.weedscience.org
Massa, D., Kaiser, Y.I., Andujar-Sanchez, D., Carmona-Aferez, R. Mehrtens, J., and Gerhard, R. 2013. Development of a Geo- References database for weed mapping and analysis of agronomic factors affecting herbicides resistance in (Apera spica-venti L. beauv). (silky wingrass). Agronomy. 3:13-27.
McCullagh, P., Nelder, J.A.‌ 1989. Generalized Linear Models: Chapman & Holl/CRC.
Minbashi Moeini, M. 2007 .Analysis approach for weed management of irrigated wheat fields. Key articles of 2nd conference on weeds in Iran, 30th and 31th Octobre, Mashhad.
Minbashi, M.and Haghighi, A. 2012.‌ Study‌ On persistence causes of weeds in Wheat fields of khazar regions.Final report,Iranian Research Institute Of Plant Protection. AREEO.22Pp.
Montazeri, M. 1989. The effects of new granstar herbicide (75% WG) against broadleaf weeds in wheat fields of Gorgan. Final report, Iranian Research Institute Of Plant Protection. AREEO. Pp:28.
Mohler, C.L. 1996. Ecological bases for the cultural control of annual weeds. L. Prod. Agro. 9.468-474.
Moss, S.R., Clarke, J.H., Blair, A.M., Culley, T.N., Read, M.A., Pyan, P.J., and Turner, M. 1999. The occurrence of herbicide-resistant grass-weeds in the United Kingdom and a new system for designating resistance in screening assay. Pages 179-184 in Proceeding of the Brighton Crop rotation Conference on weeds. Hampshire, Uk:BCPC.
Mulligan, G.A., and Bailey, L.G. 1975. The biology of Canadian weeds: Sinapis arvensis L. Can. J. Plant Sci. 55:171-183.
Murphy, C., and Lemerle, D. 2006. Continuous cropping systems and weed selection. Euphytica. 148, 61-73.
Melander, B. 1995. Impact of drilling date on Apera spica-venti L. and Alopecurus myosurodes huds. In winter cereals. Weed Res. 35, 157-166.
Owen, M.J., Walsh, M.J., Llewellyn, R.S., and Powells, S.B., 2007. Widespread accurrence of multiple herbicide resistance in western Australian annual ryegrass populations.Aus. J.Agric.res.,58:711-718.
Loll, R., Campbell, M., Walters, S., and Morgan, K. 2002. Co operative MRCC. A review of ordinal regression model applied on health related quality of life assessments. Statistical Methods in Medical res; 11:49-67.
Wall, D.A., Friesen, G.H., and Bhati, T.K. 1991. Wild mustard interference in traditional and semi-leafless field peas. Can. J. Plant Sci. 71: 473-480.
Zewerger, P.and Ammon, H.U. 2002. Unkrut: Okologie and Bakampfung. Eugen Ulmer, Stuttgart.
 
 
 
 
 
Iranian Journal of Weed Science
Volume 13, Issue 2
January 2018
Pages 107-114

Files

Share

How to cite

Statistics