Integrating temperature-dependent development and reproduction models for predicting population growth of the coffee berry borer, Hypothenemus hampei Ferrari

Azrag Abdelmutalab G.A., Babin Régis. 2022. Integrating temperature-dependent development and reproduction models for predicting population growth of the coffee berry borer, Hypothenemus hampei Ferrari. Bulletin of Entomological Research, 113 (1) : 79-85.

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Résumé : The coffee berry borer, Hypothenemus hampei Ferrari (Coleoptera: Curculionidae, Scolytinae), is the most devastating insect pest of coffee worldwide. It feeds on the beans inside the berries leading to significant crop losses and unmarketable products. This study aims to model the impact of temperature on H. hampei fecundity and population growth parameters, as a contribution to the prediction of infestation risk. The fecundity was assessed on fresh coffee beans at six constant temperatures in the range 15–30°C, with RH 80 ± 5% and photoperiod 12:12 L:D. Nonlinear models were fitted to the relationship between fecundity and temperature using the ILCYM software. The best fecundity model was combined to development models obtained for immature stages in a previous study in order to simulate life table parameters at different constant temperatures. Females of H. hampei successfully oviposited in the temperature range 15–30°C, with the highest fecundity observed at 23°C (106.1 offspring per female). Polynomial function 8 model was the best fitted to the relationship between fecundity and temperature. With this model, the highest fecundity was estimated at 23°C, with 110 eggs per female. The simulated net reproductive rate (R0) was maximal at 24°C, with 50.08 daughters per female, while the intrinsic rate of increase (rm) was the highest at 26°C, with a value of 0.069. Our results will help understand H. hampei population dynamics and develop an ecologically sound management strategy based on a better assessment of infestation risk.

Mots-clés Agrovoc : Hypothenemus hampei, insecte déprédateur des fruits, ravageur des plantes, dynamique des populations, évaluation du risque, Coffea arabica, température, fertilité

Mots-clés géographiques Agrovoc : Kenya

Mots-clés libres : Arabica coffee, Climate Change, Coffee pests, Population dynamics, Risk assessment

Classification Agris : H10 - Ravageurs des plantes

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Auteurs et affiliations

• Azrag Abdelmutalab G.A., ICIPE (KEN) - auteur correspondant
• Babin Régis, CIRAD-BIOS-UMR PHIM (CIV) ORCID: 0000-0002-3753-1193

Source : Cirad-Agritrop (https://agritrop.cirad.fr/601606/)

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