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Testing for adventitious presence of transgenic material in conventional seed or grain lots using quantitative laboratory methods: statistical procedures and their implementation

Published online by Cambridge University Press:  22 February 2007

Jean-Louis Laffont ,
Kirk M. Remund ,
Deanne Wright ,
Robert D. Simpson  and
Sylvain Grégoire
Jean-Louis Laffont
Affiliation:
Pioneer Génétique, Chemin de l'Enseigure, 31840, Aussonne, France
Kirk M. Remund*
Affiliation:
Monsanto Company, 800 North Lindbergh Blvd., St. Louis, Missouri, 63167, USA
Deanne Wright
Affiliation:
Pioneer Hi-Bred International Inc., 7300 N.W. 62nd Avenue, Johnston, Iowa, 50131-1004, USA
Robert D. Simpson
Affiliation:
Monsanto Company, 800 North Lindbergh Blvd., St. Louis, Missouri, 63167, USA
Sylvain Grégoire
Affiliation:
GEVES, La Minière, 78 285 Guyancourt, Cedex, France
*
*Correspondence: Fax: +1 314 693 6673, Email: kirk.m.remund@monsanto.com
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Abstract

When the laboratory methods employed are qualitative, the statistical methodologies used in testing for the adventitious presence (AP) of transgenic material in conventional seed and grain lots are well defined. However, when the response from the method used by the laboratory is quantitative (e.g. percent transgenic DNA), the statistical methodologies developed for qualitative laboratory methods are not fully appropriate. In this paper, we present the details of procedures specific to quantitative laboratory methods. In particular we consider: (1) the assessment of quantitative laboratory method errors using linear modelling; and (2) the process of deciding whether or not a lot meets pre-specified purity standards, including the development of probability calculations needed to develop operating characteristic curves and estimate consumer and producer risks for a given lower quality limit (LQL), acceptable quality limit (AQL) and testing plan. We also describe implementation of this approach in a useful spreadsheet application.

Keywords

adventitious presencequantitative laboratory methodstesting planstransgenicreal time PCRvariance componentsseed testingstatistical methods
Type
Research Article
Information
Seed Science Research , Volume 15 , Issue 3 , September 2005 , pp. 197 - 204
Copyright
Copyright © Cambridge University Press 2005

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References

Kobilinsky, A. and Bertheau, Y. (2005) Minimum cost acceptance sampling plans for grain control, with application to GMO detection. Chemometrics and Intelligent Laboratory Systems 75, 189–200.CrossRefGoogle Scholar
Laffont, J.-L., Wright, D. (2002) Statistical methodologies in testing for adventitious presence. Communication at the ASTA 57th Corn & Sorghum Seed Conference,Chicago, Illinois.13 December 2002.Google Scholar
Lipp, M., Shillito, R., Giroux, R., Spiegelhalter, F., Charlton, S., Pinero, D. and Song, P. (2005) Polymerase chain reaction technology as analytical tool in agricultural biotechnology. Journal of AOAC International 88, 136–155.CrossRefGoogle ScholarPubMed
Remund, K.M., Dixon, D.A., Wright, D.L. and Holden, L.R. (2001) Statistical considerations in seed purity testing for transgenic traits. Seed Science Research 11, 101–119.Google Scholar
Searle, S.R., Casella, G. and McCulloch, C.E. (1992) Variance components. New York, John Wiley & Sons.Google Scholar
Wright, D., Laffont, D.-L., Remund, K., Alarcon, C., Grothaus, D., Hondred, D., Kaufman, B., LawranceG., Meyer, S. G., Meyer, S. (2002). Statistical methodologies in testing for biotech traits. 6th International Seed Testing Association Seminar in Statistics. Available at web site http://www.seedtest.org/upload/cms/user/GMOdect.pdf (accessed 13 July 2005).Google Scholar