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Cited by 334

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

A review of the biology and control of the coffee berry borer,Hypothenemus hampei(Coleoptera: Scolytidae)

Damon, A.·2000·Bulletin of Entomological Research

Abstract

The coffee berry borer,Hypothenemus hampei Ferrari, is a serious problem for the majority of the world‘s coffee growers and has proved to be one of the most intractable of present day pests. Despite a great deal of research, control still depends largely on the application of the organochlorine insecticide endosulfan, which is damaging to the environment, or a series of cultural and biological control methods which give variable and unpredictable results. This review summarizes the most important aspects of the biology and ecology of H. hampei and its control and identifies weak points in the knowledge about this pest. Emphasis is placed upon an analysis of the non-chemical control methods available and suggestions are offered for novel ecological and environmental factors worthy of further research, in the search for viable and sustainable control methods.

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Metadata

Authors
Damon, A.
Venue
Bulletin of Entomological Research
Published
2000-12
Volume
90
Issue
6
Pages
453-465
ISSN
  • 0007-4853 (ISSN-L)
  • 1475-2670
OpenAlex
W2094502336
Cited by
334
References
8
FWCI
4.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A review of the biology and control of the coffee berry borer,Hypothenemus hampei(Coleoptera: Scolytidae). https://app.cochat.ai/papers/10.1017/s0007485300000584
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Damon, A. (2000). A review of the biology and control of the coffee berry borer,Hypothenemus hampei(Coleoptera: Scolytidae). Bulletin of Entomological Research. https://doi.org/10.1017/s0007485300000584

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.