Sporleder Marc, Gamarra Heidy, Carhuapoma Pablo, Goicochea Luis, Kroschel Jürgen, Kreuze Jan
Department of Plant and Systems Sciences, International Potato Center (CIP), Av. La Molina 1895, Lima 12, Peru.
Departament of Entomolgy, National Agricultural University La Molina (UNALM), Av. La Molina 15024, La Molina, Lima, Peru.
Environ Entomol. 2023 Oct 16;52(5):832-846. doi: 10.1093/ee/nvad062.
The sweetpotato whitefly, Bemisia tabaci (Gennadius) Middle East-Asia Minor 1 (MEAM1), is widespread across tropical and subtropical regions, affecting hundreds of cultivated and wild plant species. Because the species transmits a variety of viruses, the whitefly has become one of the most economically significant insect pests in the world. Determining a pest's population growth potential as a function of temperature is critical for understanding a species population dynamics, predicting the potential range of the species and its associated diseases, and designing adaptive pest management strategies. The life history of B. tabaci MEAM1 was studied in life-table experiments at 7 constant temperatures ranging from 12 to 35 °C. Nonlinear equations were fitted to development, mortality, and reproduction data and compiled into an overall phenology rate-summation model using Insect Life Cycle Modeling (ILCYM) software, to simulate life-table parameters based on temperature. Life tables of B. tabaci MEAM1 observed at naturally variable temperature in La Molina, Lima, during different seasons, covering the entire temperature range of the species' predicted performance curve, were used to validate the model. Simulations predicted population growth within temperature between 13.9 and 33.4 °C, revealing a maximum finite rate of population increase (λ = 1.163), with a generation time of 33.3 days at 26.4 °C. Predicted species performance agreed well when compared against observed life tables and published data. The process-based physiological model presented here for B. tabaci MEAM1 should prove useful to predict the potential spatial distribution of the species based on temperature and to adjust pest control measures taking different population growth potentials due to prevailing temperature regimes into account.
烟粉虱中东 - 小亚细亚1型（Bemisia tabaci (Gennadius) Middle East-Asia Minor 1，简称MEAM1）广泛分布于热带和亚热带地区，影响着数百种栽培植物和野生植物物种。由于该物种传播多种病毒，烟粉虱已成为世界上经济影响最为重大的害虫之一。确定害虫种群增长潜力与温度的函数关系，对于理解物种的种群动态、预测该物种及其相关病害的潜在分布范围以及设计适应性害虫管理策略至关重要。在12至35°C的7个恒定温度下，通过生命表实验研究了烟粉虱MEAM1的生活史。将非线性方程拟合到发育、死亡率和繁殖数据，并使用昆虫生命周期建模（ILCYM）软件编制成一个总体物候速率累加模型，以根据温度模拟生命表参数。利用在利马拉莫利纳不同季节自然变温条件下观测到的烟粉虱MEAM1生命表（涵盖该物种预测性能曲线的整个温度范围）对模型进行验证。模拟预测在13.9至33.4°C的温度范围内种群增长，结果显示在26.4°C时种群最大有限增长率（λ = 1.163），世代时间为33.3天。与观测到的生命表和已发表数据相比，预测的物种表现吻合良好。本文提出的基于过程的烟粉虱MEAM1生理模型，应有助于根据温度预测该物种的潜在空间分布，并考虑到由于当前温度状况导致的不同种群增长潜力来调整害虫控制措施。
