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Temperature-dependent models of development and survival of an insect pest of African tropical highlands, the coffee antestia bug Antestiopsis thunbergii (Hemiptera: Pentatomidae)

By Abdelmutalab G.A. Azrag, Lucy Kananu Murungi, Henri E.Z. Tonnang, Dickson Mwenda and Régis Babin


The antestia bug Antestiopsis thunbergii (Hemiptera: Pentatomidae) is a major pest of Arabica coffee in African tropical highlands. It feeds on coffee plant vegetative parts and berries leading to a direct reduction in coffee yield and quality. This study aimed to determine A. thunbergii thermal requirements, and to obtain new information on the pest demography as influenced by temperature. Temperature-dependent models were developed using the Insect Life Cycle Modelling software (ILCYM) through a complete life table study at seven constant temperatures in the range 18–32 °C. Non-linear functions were fitted to A. thunbergii development, mortality, fecundity and senescence. Model parameters and demographic variables obtained from the models were given for each temperature and development stage. Life table parameters were estimated for nine constant temperatures, from 18 °C to 26 °C, using stochastic simulations. The minimum temperature threshold (Tmin) and the thermal constant (k) for the development from egg to adult were estimated from a linear function at 12.1 °C and 666.67° days, respectively. The maximum temperature threshold (Tmax) was estimated at 33.9 °C from a Logan model. The optimum temperature for immature stages' survival was estimated to be between 22.4 and 24.7 °C. The maximum fecundity was 147.7 eggs female−1 at 21.2 °C. Simulated A. thunbergii life table parameters were affected by temperature, and the maximum value of intrinsic rate of increase (rm) was 0.029 at 22 °C and 23 °C. In general, the life cycle data, models and demographic parameters we obtained were in line with previous reports for antestia bugs or other stink bug species. The relationships between the pest thermal requirements and ecological preferences in highland coffee were discussed. Our results will contribute to risk prediction under climate change for this important coffee pest. (Résumé d'auteur

Topics: H10 - Ravageurs des plantes, Coffea arabica, Pentatomidae, Ravageur des plantes, Développement biologique, Cycle de développement, Température, Modèle, Facteur de risque, Dynamique des populations,,,,,,,,,,
Publisher: 'Elsevier BV'
Year: 2017
DOI identifier: 10.1016/j.jtherbio.2017.10.009
OAI identifier:
Provided by: Agritrop
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