• 제목/요약/키워드: EECA

검색결과 4건 처리시간 0.017초

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

  • Seo, Woo Kang;Kim, Tae Keuk;Heo, Min Seong;Kim, Dong-Su;Jin, Hong Sung
    • 호남수학학술지
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    • 제41권4호
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    • pp.837-849
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    • 2019
  • 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.