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

Published online by Cambridge University Press:  28 July 2022

Abdelmutalab G. A. Azrag Open the ORCID record for Abdelmutalab G. A. Azrag [Opens in a new window]  and
Régis Babin Open the ORCID record for Régis Babin [Opens in a new window]
Abdelmutalab G. A. Azrag*
Affiliation:
International Centre of Insect Physiology and Ecology (icipe), P.O. Box 30772, Nairobi 00100, Kenya Department of Crop Protection, Faculty of Agricultural Sciences, University of Gezira, P.O. Box20, Wad Medani, Sudan
Régis Babin
Affiliation:
CIRAD, UMR PHIM, Abidjan 01 BP 6483, Côte d'Ivoire PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France
*
Author for correspondence: Abdelmutalab G. A. Azrag, Email: agazrag@yahoo.com; agesmalla@icipe.org
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Abstract

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.

Keywords

Arabica coffeeclimate changecoffee pestsILCYMpopulation dynamicsrisk assessment
Type
Research Paper
Information
Bulletin of Entomological Research , Volume 113 , Issue 1 , February 2023 , pp. 79 - 85
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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Footnotes

*

Authors contributed equally to this work.

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