Infection model for analyzing biological control of coffee rust using bacterial anti-fungal compounds

نویسندگان

  • Jorge Arroyo Esquivel
  • Fabio Sanchez Pena
چکیده

Coffee rust is one of the main diseases that affect coffee plantations worldwide [6]. This causes an important economic impact in the coffee production industry in countries where coffee is an important part of the economy. A common method for combating this disease is through the use of copper hydroxide as a fungicide, which can have damaging effects both on the coffee tree and on human health [9]. A novel method for biological control of coffee rust has been proven to be an effective alternative to copper hydroxide fungicides is anti-fungal compounds. In this paper, we develop and explore a spatial stochastic model for the interaction of bacteria and coffee rust in a coffee plantation. As well as, analyse equilibria for specific control strategies, compute conditions for stability under specific conditions, and perform numerical experiments under local and global control strategies.

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تاریخ انتشار 2017