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Quantitative exposure assessment for confinement of maize biogenic systems

Published online by Cambridge University Press:  15 June 2005

Jeffrey D. Wolt ,
Yuh Yuan Shyy ,
Paul J. Christensen ,
Karin S. Dorman  and
Manjit Misra
Jeffrey D. Wolt
Affiliation:
Biosafety Institute for Genetically Modified Agricultural Products, Iowa State University, Ames, IA 50011, USA
Yuh Yuan Shyy
Affiliation:
Biosafety Institute for Genetically Modified Agricultural Products, Iowa State University, Ames, IA 50011, USA
Paul J. Christensen
Affiliation:
Biosafety Institute for Genetically Modified Agricultural Products, Iowa State University, Ames, IA 50011, USA
Karin S. Dorman
Affiliation:
Biosafety Institute for Genetically Modified Agricultural Products, Iowa State University, Ames, IA 50011, USA
Manjit Misra
Affiliation:
Biosafety Institute for Genetically Modified Agricultural Products, Iowa State University, Ames, IA 50011, USA

Abstract

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The development of transgenic crops as production platforms for biogenic agents will largely depend on the success of efforts to confine the genes and their expressed proteins in field environments. We have used quantitative exposure assessment to evaluate how management practices affect materials escape due to outcrossing by pollen flow or grain loss during harvest operations. Specifically, we study the use of maize to produce biogenic agents within field-confined systems. Decision trees representing simplified schemes of fully conforming (designed to comply with current regulatory standards for field confined trials), partially conforming, and non-conforming management practices were developed. Exemplifying assumptions and published data for conformance and material fate probabilities were used in Monte Carlo simulations to forecast materials escape by pollen outcrossing and harvest operations from a 1 ha source field. Deterministic analyses showed fully conforming confinement management restricted materials loss to low levels (for this example, outcrossing produced <1 in 106 kernels in receptor fields). The corresponding high-end (90th percentile) probabilistic result was 16- and 4333-fold higher (relative to deterministic outcrossing = 1) for outcrossing and harvest loss, respectively. For partially conforming practice, high-end outcrossing ranged from 100- to >15 000-fold over the base result in receptor fields, and harvest loss was >10 000-fold over the base result. For non-conforming practice, high-end outcrossing produced >15 000-fold greater kernels in receptor fields and high-end harvest loss was at least 19 000-fold greater. Deterministic estimates of off-field loss by machine transfer are as much as 30 000-fold higher for non-conforming operations relative to the base case of pollen outcrossing. Better knowledge of failure frequencies for confinement management practices, improved physical models of materials flows, refined analysis of confinement loss probabilities using quantitative tools, and decision analysis to improve and audit management system performance are all needed to extend understanding of confinement integrity beyond the exemplifying case used here.

Keywords

transgeniccontainmentplant manufactured pharmaceutical
Type
Research Article
Information
Environmental Biosafety Research , Volume 3 , Issue 4 , October 2004 , pp. 183 - 196
Copyright
© ISBR, EDP Sciences, 2004

References

Arritt RW, Clark CA, Reese JM, Westgate ME (2005) Lagrangian numerical simulations of maize pollen dispersion and comparison with observations. Intl. J. Biometeor. (in review)
Ayers GE, Babcock CE, Hull DO (1972) Corn combine field performance in Iowa. In Grain Damage Symposium, The Ohio State University, Columbus, Ohio, pp 1–17
Aylor, DE, Schiltes, NP, Shields, EJ (2003) An aerobiological framework for assessing cross-pollination in maize. Agric. Forest Meteorol. 119: 111–129 CrossRef
Bucchini, L, Goldman, LR (2002) Starlink maize: A risk analysis. Environ. Health Persp. 110: 5–13 CrossRef
Carlson G, Clay D (2002) Estimating harvest loss. Accessed electronically 13 May 2004, http://plantsci.sdstate.edu/precisionfarm/papers/harvest_loss%202002.pdf
Christensen P, Manjit MS, Rai S, Shyy Y-Y, Wolt JD (2005) Confined Production Processes for Non-Food Corn. Biosafety Institute for Genetically Modified Agricultural Products, Iowa State University, Ames, Iowa
Colbach, N, Clermont-Dauphin, C, Meynard, JM (2001) GENESYS: a model of the influence of cropping system on gene escape from herbicide tolerant rapeseed crops to rape volunteers - I. Temporal evolution of a population of rapeseed volunteers in a field. Agric. Ecosyst. Environ. 83: 235–253 CrossRef
Columbus E, Willcutt H (2001) Effect of field dry down and delayed harvest on corn yield and quality. MAFES Information bulletin 386. Accessed electronically, 13 May 2004, http://msucares.com/nmrec/reports/2001/corn/production/effect.pdf
Cullen AC, Frey HC (1999) Probabilistic Techniques in Exposure Assessment: A handbook for dealing with Variability and Uncertainty in Models and Inputs. Plenum Press, New York
Ellstrand, NC (2003) Going to “great lengths” to prevent the escape of genes that produce specialty chemicals. Plant Physiol. 132: 1–5 CrossRef
Farnham D (2001) Corn planting guide. PM1885. Iowa State University Extension. Accessed electronically 5 July 2004, http://extension.iastate.edu/Publications/PM1885.pdf
Feil B, Schmid JE (2002) Dispersal of maize, wheat, and rye pollen. Shaker Verlag, Aachen, Germany
Food and Drug Administration [FDA] (2003) Guidance for Industry: Drugs, Biologics, and Medical Devices Derived from Bioengineered Plants for Use in Humans and Animals, Draft Guidance. FDA, Center for Biologics Evaluation and Research. Accessed electronically, 25 Feb 2004, http://www.fda.gov/cber/gdlns/bioplant.htm
Hanna HM (2004) Combine clean-out research. 26th Annual Seed Technology Conference, Output Traits for Corn and Soybeans, 17 Feb 2004, Seed Science Center, Iowa State University
Hanna HM, Jarboe DH, Quick GR (2002a) Field equipment clean-out for identity-preserved grain production. Iowa Grain Quality Initiative, Iowa State University. Accessed electronically, 28 June 2004, http://www.extension.iastate.edu/Pages/grain/publications/grainproduction.html
Hanna, HM, Kohl, KD, Haden, DA (2002b) Machine losses from conventional versus narrow row corn harvest. Appl. Engineer. Agric. 18: 405–409
James C (2003) Preview: Global Status of Commercialized Transgenic Crops: 2003. ISAAA Briefs No. 30. International Service for the Acquisition of Agri-biotech Applications: Ithaca, NY
Jenkinson DS (1988) Soil organic matter dynamics, In Wild A. ed, Russell’s Soil Conditions and Plant Growth, 11th edn, Longman, Essex, England, pp 564–607
Jones MD, Brooks JS (1950) effectiveness of distance and border rows in preventing outcrossing in maize. Oklahoma Agric. Exp. Sta. Tech. Bull. No. T-38. Stillwater, OK
Jones MD, Newell LC (1946) Pollen cycles and pollen dispersal in relation to grass improvement. Univ. Nebraska Agric. Exp. Sta. Res. Bull. No. 148. Lincoln, NE
Klein, EK, Lavigne, C, Foueillassar, X, Gouyon, PH, Larédo, C (2003) Corn pollen dispersal: mechanistic models and field experiments. Ecological Monographs 73: 131–150 CrossRef
Mellon M, Rissler J (2004) Gone to Seed: Transgenic Contaminants in the Traditional Seed Supply. UCS Publications, Cambridge, MA
National Research Council [NRC] (1983) Risk Assessment in the Federal Government: Managing the Process. National Academy Press, Washington, DC
National Research Council [NRC] (2000) Genetically Modified Pest-Protected Plants: Science and Regulation. National Academy Press, Washington, DC
National Research Council [NRC] (2002) Environmental Effects of Transgenic Plants. National Academy Press, Washington, DC
National Research Council [NRC] (2004) Biological Confinement of Genetically Modified Organisms. National Academy Press, Washington, DC
Peterson, RKD, Arntzen, CJ (2004) On risk and plant-based biopharmaceuticals. Trends Biotechnol. 22: 64–66 CrossRef
Sears, MK, Hellmich, RL, Stanley-Horn, DE, Oberhauser, KS, Pleasants, JM, Mattila, HR, Siegfried, BD, Dively, GP (2001) Impact of Bt maize pollen on monarch butterfly populations: A risk assessment. Proc. Natl. Acad. Sci. U.S.A. 98: 11937–11942 CrossRef
United States Department of Agriculture [USDA] (2003a) Field testing of plants to produce pharmaceutical and industrial compounds. Federal Register 68 (46) 11337–11340
United States Department of Agriculture [USDA] (2003b) Introductions of plants genetically engineered to produce industrial compounds. Federal Register 68 (151) 46434–46436
United States Department of Agriculture [USDA] (2004) What is the conformance history with APHIS’ biotechnology regulations? USDAS, APHIS, Biotechnology Regulatory Services. Accessed electronically 20 Feb 2004, http://www.aphis.usda.gov/brs/conformiance9.html
United States Environmental Protection Agency [USEPA] (1992) Guidelines for Exposure Assessment. FRL-4129-5. Exposure Assessment Group, Office of Health and Environmental Assessment, USEPA, Washington, DC
United States Environmental Protection Agency [USEPA] (2002) EPA Settles with Two Biotech Seed Production Companies. USEPA Region 9 Press Release December 13, 2002
United States Environmental Protection Agency [USEPA] (2003) AERMOD: Latest features and evaluation results. EPA-454/R-03-003 June 2003
University of Arkansas Cooperative Extension Service [UACES] (2003) Corn harvesting. Accessed electronically 9 May 2004, http://www.aragriculture.org/agengineering/harvesting/corn/default.asp
Vose D (2000) Risk analysis: A Quantitative Guide. 2nd edn, John Wiley, New York
Wolt, JD, Peterson, RKD (2000) Agricultural biotechnology and societal decision-making: The role of risk analysis. AgBioForum 3: 291–298
Wolt, JD, Peterson, RKD, Bystrak, P, Meade, T (2003) A screening level approach for nontarget insect risk assessment: Transgenic Bt maize pollen and the monarch butterfly (Lepidoptera: Danaidae). Environ. Entomol. 32: 237–246 CrossRef