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

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

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 sh...

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Veröffentlicht in:Honam mathematical journal 2019-12, Vol.41 (4), p.837-849
Hauptverfasser: Seo, Woo Kang, Kim, Tae Keuk, Heo, Min Seong, Kim, Dong-Su, Jin, Hong Sung
Format: Artikel
Sprache:kor
Schlagworte:
dispersion
EECA
GMO
maize
pattern
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Zusammenfassung: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.
ISSN:1225-293X