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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.

References

Andersen, SO (1974) Evidence for two mechanisms of sclerotisation in insect cuticle. Nature 251, 507–508.CrossRefGoogle ScholarPubMed
Azrag, AG, Pirk, CW, Yusuf, AA, Pinard, F, Niassy, S, Mosomtai, G and Babin, R (2018) Prediction of insect pest distribution as influenced by elevation: combining field observations and temperature-dependent development models for the coffee stink bug, Antestiopsis thunbergii (Gmelin). PLoS One 13, e0199569.CrossRefGoogle ScholarPubMed
Azrag, AG, Yusuf, AA, Pirk, CW, Niassy, S, Mbugua, KK and Babin, R (2020) Temperature-dependent development and survival of immature stages of the coffee berry borer Hypothenemus hampei (Coleoptera: Curculionidae). Bulletin of Entomological Research 110, 207–218.CrossRefGoogle ScholarPubMed
Baker, PS, Barrera, JF and Rivas, A (1992) Life history studies on the coffee berry borer (Hypothenemus hampei, Scolytidae) on coffee trees in southern Mexico. Journal of Applied Ecology 29, 656–662.CrossRefGoogle Scholar
Barrera, JF (1994) Dynamique des populations du scolyte des fruits du caféier, Hypothenemus hampei (Coleoptera: Scolytidae), et lutte biologique avec le parasitoide Cephalonomia stephanoderis (Hymenoptera: Bethylidae), au Chiapas, Mexique. PhD Thesis, Université Paul-Sabatier, Toulouse III, France, 301 p.Google Scholar
Bergamin, J (1943) Contribuição para o conhecimiento da biología da broca do café Hypothenemus hampei (Ferrari, 1867) (Col: Ipidae). Archives of the Institute of Biology 14, 31–72.Google Scholar
Brun, LO, Gaudichon, V and Wigley, PJ (1993) An artificial diet for continuous rearing of the coffee berry borer, Hypothenemus hampei (Ferrari) (Coleoptera: Scolytidae). International Journal of Tropical Insect Science 14, 585–587.CrossRefGoogle Scholar
Bunn, C, Läderach, P, Rivera, OO and Kirschke, D (2015) A bitter cup: climate change profile of global production of Arabica and Robusta coffee. Climatic Change 129, 89–101.CrossRefGoogle Scholar
DaMatta, FM and Ramalho JD, C (2006) Impacts of drought and temperature stress on coffee physiology and production: a review. Brazilian Journal of Plant Physiology 18, 55–81.CrossRefGoogle Scholar
Damon, A (2000) A review of the biology and control of the coffee berry borer, Hypothenemus hampei (Coleoptera: Scolytidae). Bulletin of Entomological Research 90, 453–465.CrossRefGoogle ScholarPubMed
Fernández, S and Cordero, J (2007) Biología de la broca del café Hypothenemus hampei (Ferrari) (Coleoptera: Curculionidae: Scolytinae) en condiciones de laboratorio. Bioagro 19, 35–40.Google Scholar
Hijmans, RJ, Cameron, SE, Parra, JL, Jones, PG and Jarvis, A (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25, 1965–1978.CrossRefGoogle Scholar
ICO (2020) Coffee year production by country. April 2020, ICO. Available at https://ico.org/.Google Scholar
Jaramillo, J, Borgemeister, C and Baker, P (2006) Coffee berry borer Hypothenemus hampei (Coleoptera: Curculionidae): searching for sustainable control strategies. Bulletin of Entomological Research 96, 223–233.CrossRefGoogle ScholarPubMed
Jaramillo, J, Chabi-Olaye, A and Borgemeister, C (2010) Temperature-dependent development and emergence pattern of Hypothenemus hampei (Coleoptera: Curculionidae: Scolytinae) from coffee berries. Journal of Economic Entomology 103, 1159–1165.CrossRefGoogle ScholarPubMed
Jaramillo, J, Chabi-Olaye, A, Kamonjo, C, Jaramillo, A, Vega, FE, Poehling, HM and Borgemeister, C (2009) Thermal tolerance of the coffee berry borer Hypothenemus hampei: predictions of climate change impact on a tropical insect pest. PLoS One 4, e6487.CrossRefGoogle ScholarPubMed
Jaramillo, J, Muchugu, E, Vega, FE, Davis, A, Borgemeister, C and Chabi-Olaye, A (2011) Some like it hot: the influence and implications of climate change on coffee berry borer (Hypothenemus hampei) and coffee production in East Africa. PLoS One 6, e24528.CrossRefGoogle ScholarPubMed
Khadioli, N, Tonnang, ZEH, Muchugu, E, Ong'amo, G, Achia, T, Kipchirchir, I, Kroschel, J and Le Ru, B (2014) Effect of temperature on the phenology of Chilo partellus (Swinhoe) (Lepidoptera, Crambidae); simulation and visualization of the potential future distribution of C. partellus in Africa under warmer temperatures through the development of life-table parameters. Bulletin of Entomological Research 104, 809–822.CrossRefGoogle ScholarPubMed
Kroschel, J, Sporleder, M, Tonnang, HE, Juarez, H, Carhuapoma, P, Gonzales, JC and Simon, R (2013) Predicting climate-change-caused changes in global temperature on potato tuber moth Phthorimaea operculella (Zeller) distribution and abundance using phenology modeling and GIS mapping. Agricultural & Forest Meteorology 170, 228–241.CrossRefGoogle Scholar
Lewis, EG (1942) On the generation and growth of a population. Sankhya 6, 93–96.Google Scholar
Lotka, AJ (1913) A natural population norm. I. Journal of the Washington Academy of Sciences 3, 241–248.Google Scholar
Mariño, YA, Pérez, ME, Gallardo, F, Trifilio, M, Cruz, M and Bayman, P (2016) Sun vs. shade affects infestation, total population and sex ratio of the coffee berry borer (Hypothenemus hampei) in Puerto Rico. Agriculture, Ecosystems & Environment 222, 258–266.CrossRefGoogle Scholar
Mwalusepo, S, Tonnang, HE, Massawe, ES, Okuku, GO, Khadioli, N, Johansson, T, Calatayud, PA and Le Ru, BP (2015) Predicting the impact of temperature change on the future distribution of maize stem borers and their natural enemies along east African mountain gradients using phenology models. PLoS One 10, e0130427.CrossRefGoogle ScholarPubMed
Ndlela, S, Azra, AG and Mohamed, SA (2021) Determination of temperature thresholds for the parasitoid Diachasmimorpha longicaudata (Hymenoptera: Braconidae), using life cycle simulation modeling: implications for effective field releases in classical biological control of fruit flies. PLoS One 16, e0255582.CrossRefGoogle ScholarPubMed
Ovalle-Rivera, O, Läderach, P, Bunn, C, Obersteiner, M and Schroth, G (2015) Projected shifts in Coffea arabica suitability among major global producing regions due to climate change. PLoS One 10, e0124155.CrossRefGoogle ScholarPubMed
Pardey, AEB (2015) Coffee insect pests part II: damage caused by arthropods. In Gaitán, AL (ed.), Compendium of Coffee Diseases and Pests. St Paul, USA: APS Press, The American Phytopathological Society, pp. 1–62.Google Scholar
Ruiz-Cárdenas, R and Baker, P (2010) Life table of Hypothenemus hampei (Ferrari) in relation to coffee berry phenology under Colombian field conditions. Scientia Agricola 67, 658–668.CrossRefGoogle Scholar
Tanga, CM, Khamis, FM, Tonnang, HEZ, Rwomushana, I, Mosomtai, G, Mohamed, SA and Ekesi, S (2018) Risk assessment and spread of the potentially invasive Ceratitis rosa Karsch and Ceratitis quilicii De Meyer, Mwatawala & Virgilio sp. Nov. Using life-cycle simulation models: implications for phytosanitary measures and management. PLoS One 13, e0189138.CrossRefGoogle Scholar
Tonnang, EZH, Juarez, H, Carhuapoma, P, Gonzales, JC, Mendoza, D, Sporleder, M, Simon, R and Kroschel, J (2013) ILCYM – Insect Life Cycle Modeling. A Software Package for Developing Temperature-Based Insect Phenology Models with Applications for Local, Regional and Global Analysis of Insect Population and Mapping. Lima, Peru: International Potato Center, p. 193.Google Scholar
Vega, FE, Davis, AP and Jaramillo, J (2012) From forest to plantation? Obscure articles reveal alternative host plants for the coffee berry borer, Hypothenemus hampei (Coleoptera: Curculionidae). Biological Journal of the Linnean Society 107, 86–94.CrossRefGoogle Scholar
Vega, FE, Infante, F, Castillo, A and Jaramillo, J (2009) The coffee berry borer, Hypothenemus hampei (Ferrari) (Coleoptera: Curculionidae): a short review, with recent findings and future research directions. Terrestrial Arthropod Reviews 2, 129–147.Google Scholar
Vega, FE, Infante, F and Johnson, AJ (2015) The genus Hypothenemus, with emphasis on H. hampei, the coffee berry borer. In Vega, EV and Hofstetter, RW (eds), Bark Beetle: Biology and Ecology of Native and Invasive Species. Academic Press, Cambridge, MA, pp. 427–494.CrossRefGoogle Scholar
Vega, FE, Kramer, M and Jaramillo, J (2011) Increasing coffee berry borer (Coleoptera: Curculionidae: Scolytinae) female density in artificial diet decreases fecundity. Journal of Economic Entomology 104, 87–93.CrossRefGoogle ScholarPubMed
Wei, J, Zhang, H, Zhao, W and Zhao, Q (2017) Niche shifts and the potential distribution of Phenacoccus solenopsis (Hemiptera: Pseudococcidae) under climate change. PLoS One 12, e0180913.CrossRefGoogle ScholarPubMed