Department of Computer Science, University of Puerto Rico, Río Piedras Campus, San Juan, PR, 00931, USA.
Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, NJ, 07102, USA.
Math Biosci. 2021 Mar;333:108530. doi: 10.1016/j.mbs.2020.108530. Epub 2021 Jan 21.
The coffee berry borer (CBB, Hypothenemus hampei) is the most serious insect pest of coffee worldwide; understanding the dynamics of its reproduction is essential for pest management. The female CBB penetrates the coffee berry, eats the seed, and reproduces inside it. A mathematical model of the infestation progress of the coffee berry by the CBB during several coffee seasons is formulated. The model represents the interaction among five populations: uninfested, slightly infested, and severely infested coffee berries, and free and encapsulated CBBs. Coffee harvesting is also included in the model. A one-dimensional map is derived for tracking the population dynamics subject to certain coffee harvesting percentages over several seasons. Stability analysis of the map's fixed points shows that CBB infestation could be eliminated or controlled to a specific level over multiple seasons of coffee harvesting. However, the percent of coffee harvesting required is determined by the level of CBB infestation at the beginning of the first season and in some cases it is impossible to achieve that percentage.
咖啡果蛀虫(Hypothenemus hampei)是全球咖啡种植业最严重的虫害之一;了解其繁殖动态对于虫害管理至关重要。雌咖啡果蛀虫会钻入咖啡果内,吃掉种子并在其中繁殖。本文建立了一个描述咖啡果蛀虫在多个咖啡种植季后对咖啡果侵染进展的数学模型。该模型描述了未受侵染、轻度受侵染和重度受侵染咖啡果以及自由态和包囊态咖啡果蛀虫这五个种群之间的相互作用。模型还包括了咖啡果的收获过程。本文还推导出了一个用于跟踪种群动态的一维映射,该映射可以在多个咖啡收获季节下追踪不同的咖啡收获比例。通过对地图固定点的稳定性分析可知,在多个咖啡收获季节中,可以消除或控制咖啡果蛀虫的侵染至特定水平。然而,所需的咖啡收获比例取决于第一个季节开始时咖啡果蛀虫的侵染水平,在某些情况下,无法达到该比例。