Degree Type

Thesis

Date of Award

2003

Degree Name

Master of Science

Department

Economics

First Advisor

Dermot Hayes

Abstract

The spatial distribution of maize genes is predicted using a two dimensional Lagrangian stochastic (LS) model that meets sub-inertial and well-mixed conditions. Using wind data from central Iowa, a Weibull distribution is fit. From this distribution, a series of Monte Carlo simulations are run using the LS model in three forms. The final two forms of the model are based on USDA regulations for the production of pharmaceutical producing corn, demonstrating the model's suitability for analyzing the risk of transgene dispersal in maize. Special considerations are given to the large size of maize pollen, the likelihood of pollen seepage given the use of biological inhibitors of gene release, and the possibility of contemporaneous fertility of neighboring corn fields.

DOI

https://doi.org/10.31274/rtd-180813-7881

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu/

Copyright Owner

David G. Ripplinger

Language

en

OCLC Number

52740000

File Format

application/pdf

File Size

68 pages

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