Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 406085
Title A statistical assessment of differences and equivalences between genetically modified and reference plant varieties
Author(s) Voet, H. van der; Perry, J.N.; Amzal, B.; Paoletti, C.
Source BMC Biotechnology 11 (2011). - ISSN 1472-6750 - 20 p.
DOI http://dx.doi.org/10.1186/1472-6750-11-15
Department(s) Biometris (PPO/PRI)
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) commercial reference corn - rootworm-protected corn - oryza-sativa l. - zea-mays l. - fed diets - confidence-intervals - broiler performance - maize grain - gm crops - safety
Abstract Background - Safety assessment of genetically modified organisms is currently often performed by comparative evaluation. However, natural variation of plant characteristics between commercial varieties is usually not considered explicitly in the statistical computations underlying the assessment. Results - Statistical methods are described for the assessment of the difference between a genetically modified (GM) plant variety and a conventional non-GM counterpart, and for the assessment of the equivalence between the GM variety and a group of reference plant varieties which have a history of safe use. It is proposed to present the results of both difference and equivalence testing for all relevant plant characteristics simultaneously in one or a few graphs, as an aid for further interpretation in safety assessment. A procedure is suggested to derive equivalence limits from the observed results for the reference plant varieties using a specific implementation of the linear mixed model. Three different equivalence tests are defined to classify any result in one of four equivalence classes. The performance of the proposed methods is investigated by a simulation study, and the methods are illustrated on compositional data from a field study on maize grain. Conclusions - A clear distinction of practical relevance is shown between difference and equivalence testing. The proposed tests are shown to have appropriate performance characteristics by simulation, and the proposed simultaneous graphical representation of results was found to be helpful for the interpretation of results from a practical field trial data set.
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