Hostname: page-component-76fb5796d-45l2p Total loading time: 0 Render date: 2024-04-25T15:36:03.068Z Has data issue: false hasContentIssue false
  • English
  • Français

Development of a Biologically-Based System for Detection and Tracking of Airborne Herbicides

Published online by Cambridge University Press:  12 June 2017

Kassim Al-Khatib ,
Gaylord I. Mink ,
Guy Reisenauer ,
Robert Parker ,
Halvor Westberg  and
Brian Lamb
Kassim Al-Khatib
Affiliation:
N. W. Research unit, Wash. State Univ., Mt. Vernon, WA 98273
Gaylord I. Mink
Affiliation:
Irrigated Agric. Res. and Ext. Cent., Wash. State Univ. Prosser, WA 99350
Guy Reisenauer
Affiliation:
Irrigated Agric. Res. and Ext. Cent., Wash. State Univ. Prosser, WA 99350
Robert Parker
Affiliation:
Irrigated Agric. Res. and Ext. Cent., Wash. State Univ. Prosser, WA 99350
Halvor Westberg
Affiliation:
Dep. Atmo. Sci., Civil Eng., Wash. State Univ. Pullman, WA 99163
Brian Lamb
Affiliation:
Dep. Atmo. Sci., Civil Eng., Wash. State Univ. Pullman, WA 99163
Get access Rights & Permissions [Opens in a new window]

Abstract

This study was designed to develop a protocol for using a biologically-based system to detect and tract airborne herbicides. Common bean, lentil, and pea were selected for their quasi-diagnostic sensitivity to chlorsulfuron, thifensulfuron, metsulfuron, tribenuron, paraquat, glyphosate, bromoxynil, 2,4-D, and dicamba. Plants were grown in the greenhouse at Prosser, WA, and placed at 25 exposure sites at weekly intervals between Apr. 2 and Oct. 15, 1991. After 1 wk of field exposure plants were brought back and observed for herbicide symptoms over a 28-d period. Symptoms that developed were compared with symptoms caused by disease, insects, adverse weather conditions, and herbicides applied at different rates under controlled conditions on these species. In addition, if herbicide symptoms were observed, herbicide spray records and weather data in the area were used in a computer model to determine the source of potential herbicide drift. This study demonstrates that indicator plant species selected for high sensitivity to herbicides can be used to monitor the occurrence of herbicide movement.

Keywords

Bromoxynil, 3,5-dibromo-4-hydroxybenzonitrilechlorsulfuron, 2-chloro-N-[[(4-methoxy-6-methyl-1,3,5 triazin-2-yl)amino]carbonyl]benzenesulfonamidedicamba, 3,6-dichloro-2-methoxybenzoic acidglyphosate, N-(phosphonobmethyl)glycinemetsulfuron, 2-[[[[(4-methoxy-6-methyl-1,3,5-triazin-2-yl)amino]carbonyl]amino]sulfonyl]benzoic acidparaquat, 1,1′-dimethyl-4,4′-bipyridinium ionthifensulfuron, 3-[[[[(4-methoxy-6-methyl-1,3,5-triazin-2-yl)amino]carbonyl]amino]sulfonyl]-2-thiophenecarboxylic acidtribenuron, 2[[[[(4-methoxy-6-methyl-1,3,5-triazin-2-yl)methylamino]-carbonyl]amino]sulfonyl]benzoic acid2,4-D, (2,4-dichlorophenoxy)acetic acidcommon bean, Phaseolus vulgaris L.lentil, Lens culinaris Medicpea, Pisum sativum L.Herbicide driftherbicide symptomsbromoxynilchlorsulfurondicambaglyphosatemetsulfuronparaquatthifensulfurontribenuron2,4-D
Type
Research
Information
Weed Technology , Volume 7 , Issue 2 , June 1993 , pp. 404 - 410
Copyright
Copyright © 1993 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.)

References

Literature Cited

1. Adams, D. F., Jackson, C. M., and Bamesberger, W. L. 1964. Quantitative studies of 2,4-D esters in the air. Weeds 12:280–283.Google Scholar
2. Beyer, E. M. Jr., Duffy, M. J., Hay, J. V., and Schlueter, D. D. 1988. Sulfonylureas. p. 117–189 in Kearney, P. C. and Kaufman, D. D., eds. Herbicides Chemistry, Degradation, and Mode of Action. Vol. 3, Marcel Dekker, Inc., New York.Google Scholar
3. Clore, W. J. 1972. 2,4-D on concord grapes. p. 29–32 in Wash. State Grape Soc. Proc. Grandview, WA.Google Scholar
4. Collins, G. F., Bartlatt, F. E., Turk, A., Edmonds, S. M., and Mark, H. L. 1965. A preliminary evaluation of gas air tracers. J. Air Pollut. Control Assoc. 15:109–112.Google Scholar
5. Farwell, S. O., Robinson, E., Powell, W. J., and Adams, D. F. 1976. Survey of airborne 2,4-D in south-central Washington. J. Air Pollut. Control Assoc. 26:224–230.Google Scholar
6. Krasnec, J. P., Demaray, D. E., Lamb, B., and Benner, R. 1984. An automated sequential syringe sampler for atmospheric tracer studies. J. Atm. Ocean. Technol. 1:372–378.Google Scholar
7. Lamb, B., Fu, Z. X., Eskridge, R. E., Benner, R., Westberg, H., Mitchell, J., Xiacheng, Z., and Jun, L. 1990. Elevated plume transport and dispersion:20–150 km downwind of Beijing, P. R. C. Atm. Environ. 24A:859–870.Google Scholar
8. Landis, W. 1990. Biomonitoring workshop. p. 24–38 in Marsh, M., eds. Pesticides in Natural Systems: How Can Their Effects Be Monitored? Environmental Protection Agency, Corvallis, OR.Google Scholar
9. Robinson, E. and Fox, L. L. 1978. 2,4-D herbicides in central Washington. J. Air Pollut. Control Assoc. 28:1015–1020.Google Scholar
10. Seiber, J. N. 1981. Sampling and analysis of airborne residues of paraquat in treated cotton field environments. Arch. Environ. Contam. Toxicol. 10:133–149.Google Scholar
11. Seiber, J. N., McChesney, M. M., and Woodrow, J. E. 1989. Airborne residues resulting from use of methyl parathion, molinate and thiobencarb on rice in the Sacramento Valley, California. Environ. Toxicol. Chem. 8:577–588.Google Scholar