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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
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

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.

Type
Research
Copyright
Copyright © 1993 Weed Science Society of America 

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References

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