Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-19T14:31:26.973Z Has data issue: false hasContentIssue false
  • English
  • Français

Standard Operating Procedures (SOPs) for Research in Weed Science

Published online by Cambridge University Press:  12 June 2017

William W. Donald  and
Paul H. Schwartz
William W. Donald
Affiliation:
Cropping Systems and Water Quality Res. Unit., Agric. Res. Serv., U.S. Dep. Agric., 244 Agric. Engr., Univ. Missouri, Columbia, MO 65211
Paul H. Schwartz
Affiliation:
Pesticide Research Staff Bldg. 1072, BARC-E, Beltsville, MD 20705
Get access Rights & Permissions [Opens in a new window]

Abstract

Standard operating procedures (SOPs) were developed for repetitive field research tasks to help ensure that instructions were complete and to provide consistency and continuity in the senior author's field research program. SOPs are explicit step-by-step instructions for carrying out experimental tasks that are components of experimental plans. SOPs are not the same as protocols for unique, new experimental plans. However, protocols may incorporate sequences of SOPs, if desired. SOPs are most useful for new workers and when research tasks need to be repeated infrequently in time (e.g., once every 6 mo or less per year). SOPs may help researchers enhance data accuracy, precision, and reproducibility as part of their own statistical quality control procedures. The authors' field-tested SOPs are available on diskette for critical review, modification, and use by interested weed scientists.

Keywords

Methodsquality control
Type
Notes
Information
Weed Technology , Volume 9 , Issue 2 , June 1995 , pp. 397 - 401
Copyright
Copyright © 1995 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.)

References

Literature Cited

1. Barge, M. S. 1988. Good laboratory practices and the myth of quality. p. 41–46 in Garner, W. Y. and Barge, M. S., eds. Good Laboratory Practices. An Agrochemical Perspective. Symp. Ser. 369., Am. Chem. Soc., Washington, DC.CrossRefGoogle Scholar
2. Camper, N. D., ed. 1986. Research Methods in Weed Science. 3rd ed. Southern Weed Sci. Soc., Champaign, IL. 486 p.Google Scholar
3. DeVor, R. E., Change, T., and Sutherland, J. W. 1992. Statistical Quality Design and Control. Contemporary Concepts and Methods. Macmillan Publishing Co., NY. 808 p.Google Scholar
4. Dux, J. P. 1990. Handbook of Quality Assurance for the Analytical Chemistry Laboratory, 2nd ed. Van Nostrand Reinhold, NY. 203 p.Google Scholar
5. Environmental Protection Agency. 1989. Title 40 Code of Federal Regulations Chapter I Part 160–195. Federal Insecticide, Fungicide and Rodenticide Act (FIFRA); Good Laboratory Practice Standards, A-J. Federal Register 54 (No. 158): Aug. 17, 1989. p. 34052–34074.Google Scholar
6. Garfield, F. M. 1984. Quality Assurance Principles for Analytical Laboratories. Assoc. Off. Anal. Chem., Arlington, VA. 212 p.Google Scholar
7. Garner, W. Y. and Barge, M. S., eds. 1988. Good Laboratory Practices. An Agrochemical Perspective. Symp. Ser. 369., Am. Chem. Soc., Washington. DC. 165 p.CrossRefGoogle Scholar
8. Goldman, D. S. 1988. Chemical aspects of compliance with good laboratory practices. EPA perspective on generic good laboratory practices. p. 13–23 in Garner, W. Y. and Barge, M. S., eds. Good Laboratory Practices. An Agrochemical Perspective. Symp. Ser. 369., Am. Chem. Soc., Washington, DC.CrossRefGoogle Scholar
9. Montgomery, D. C. 1985. Introduction to Statistical Quality Control. John Wiley and Sons, NY. 520 p.Google Scholar
10. Parks, A. E. 1988. Standard operating procedures: one element of a program for compliance with good laboratory practice regulations. p. 47–54 in Garner, W. Y. and Barge, M. S., eds. Good Laboratory Practices. An Agrochemical Perspective. Symp. Ser. 369., Am. Chem. Soc., Washington, DC.Google Scholar
11. Taylor, J. K. 1987. Quality Assurance of Chemical Measurements. Lewis Publishers, Inc., Chelsea, MI. 328 p.Google Scholar