» Articles » PMID: 14575658

Spatially Explicit Modelling of Transgenic Maize Pollen Dispersal and Cross-pollination

Overview
Journal J Theor Biol
Publisher Elsevier
Specialty Biology
Date 2003 Oct 25
PMID 14575658
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

Modelling of pollen dispersal and cross-pollination is of great importance for the ongoing discussion on thresholds for the adventitious presence of genetically modified material in food and feed. Two different modelling approaches for pollen dispersal are used to simulate the cross-pollination rate of pollen emerged from an adjacent transgenic crop field. The models are applied to cross-pollination data from field experiments with transgenic maize (Zea mays). The data were generated by an experimental setup specifically designed to suit the demands of mathematical modelling. First a Gaussian plume model is used for the simulation of pollen transport in and from plant canopies. This is a semiempirical approach combining the atmospheric diffusion equation and Lagrangian methodology. The second model is derived from the localised near field (LNF) theory and based on the physical processes in the canopy. Both modelling approaches prove to be appropriate for the simulation of the cross-pollination rates at distances of about 7.5m and more from the transgene source. The simulation of the cross-pollination rate is less precise at the edge of the source plot especially with the LNF theory. However, the simulation results lie within the range of variability of the observations. Concluding can be pointed out that both models might be adapted to other pollen dispersal experiments of different crops and plot sizes.

Citing Articles

Application of the maximum threshold distances to reduce gene flow frequency in the coexistence between genetically modified (GM) and non-GM maize.

Hu N, Hu J, Jiang X, Xiao W, Yao K, Li L Evol Appl. 2022; 15(3):471-483.

PMID: 35386402 PMC: 8965377. DOI: 10.1111/eva.13361.


Incorporating the field border effect to reduce the predicted uncertainty of pollen dispersal model in Asia.

Su Y, Lee C, Yiu T, Kuo B Sci Rep. 2021; 11(1):22187.

PMID: 34772995 PMC: 8589847. DOI: 10.1038/s41598-021-01583-x.


Bootstrap simulations for evaluating the model estimation of the extent of cross-pollination in maize at the field-scale level.

Kuo B, Jhong Y, Yiu T, Su Y, Lin W PLoS One. 2021; 16(5):e0249700.

PMID: 34010283 PMC: 8133429. DOI: 10.1371/journal.pone.0249700.


An Application of the Gaussian Plume Model to Localization of an Indoor Gas Source with a Mobile Robot.

Sanchez-Sosa J, Castillo-Mixcoatl J, Beltran-Perez G, Munoz-Aguirre S Sensors (Basel). 2018; 18(12).

PMID: 30544900 PMC: 6308790. DOI: 10.3390/s18124375.


Model-based calculating tool for pollen-mediated gene flow frequencies in plants.

Lei W, Bao-Rong L AoB Plants. 2017; .

PMID: 28039114 PMC: 5391714. DOI: 10.1093/aobpla/plw086.