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WIND DEPENDENT DISPERSION PATTERN CLASSIFICATION IN THE POLLINATION OF GENETICALLY MODIFIED MAIZE

  • Seo, Woo Kang (Department of Mathematics, Chonnam National University) ;
  • Kim, Tae Keuk (Department of Mathematics, Chonnam National University) ;
  • Heo, Min Seong (Department of Mathematics, Chonnam National University) ;
  • Kim, Dong-Su (Department of Mathematics, Chonnam National University) ;
  • Jin, Hong Sung (Department of Mathematics, Chonnam National University)
  • Received : 2019.09.10
  • Accepted : 2019.11.04
  • Published : 2019.12.25

Abstract

Extended elementary cellular automata (EECA) is used to analyze the pattern of genetically modified (GM) gene dispersion to wild genes. Pollination of GM maize mainly occurs by wind. Wind direction was set to two directions left to right and up to down on the cells. Sixteen cases were analyzed to show six kinds of classes of pattern for sixteen iterations. Wind directions were fixed for the simulations to see the effect of the GM maize dispersion by the wind.

Keywords

References

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