Isolation and field validation of a native strain of Beauveria bassiana against Hypothenemus hampei in the coffee-growing region of Atoyac de Álvarez, Guerrero, Mexico
Keywords:
Beauveria bassiana, coffee berry borer, entomopathogens, contamination, Robusta varietyAbstract
A strain of Beauveria bassiana was isolated from Hypothenemus hampei parasitizing Coffea canephora var. robusta beans in the coffee-growing region of the municipality of Atoyac de Álvarez, Guerrero. Field validation of the strain was carried out in a plot where the presence of the fungus had not been previously reported. The fungus was applied at a concentration of 10¹¹ conidia/ml, while the control received only an adjuvant. Fungal infection of the coffee berry borer within the beans was 66.6%. This study addresses the problem of the coffee berry borer (Hypothenemus hampei), a pest that severely affects coffee production in Mexico. A native strain of the entomopathogenic fungus Beauveria bassiana was isolated from Coffea canephora var. robusta beans in Atoyac de Álvarez, Guerrero. Subsequently, its efficacy was validated in the field through applications in plots free of previous records of the fungus, using a concentration of (10^{11}) conidia/ml. The results showed a 66.6% infection rate in the coffee berry borer, with a significant increase in healthy fruit compared to the control treated only with water-based adjuvant. The use of this native strain, adapted to local agroclimatic conditions, demonstrated advantages over introduced isolates, as it persists longer in the environment and generates epizootics under favorable conditions. It is concluded that this strain represents a viable and sustainable alternative for the biological control of the coffee berry borer in the Guerrero region.
Published
Data Availability Statement
Data in public repositories: GitHub
UAGro Journal Network
(DOI).
Data included in the manuscript: It is clarified that all relevant data are within the article or its supplementary files.
Availability upon request: It is specified that data may be requested from the corresponding author upon a "reasonable request."
Access restrictions: Justification is provided for why the data cannot be shared (for ethical, privacy, confidentiality, or third-party licensing reasons).
Not applicable: Used if the study did not generate new data (as in review articles).
Issue
Section
Categories
License
Copyright (c) 2026 Laura Sampedro Rosas, José Villanueva Arce, José Luis Rosas Acevedo (Autor/a)
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Open Access Statement as defined by DOAJ
“Open Access” is a general term encompassing both Free and Open Access. For DOAJ, open access is only when digital content is freely available online and user rights and copyright terms are clearly defined.
All texts published by Tlamati—without exception—are distributed under the Creative Commons Attribution-ShareAlike 4.0 International License.
Authors may enter into separate, additional contractual agreements for the non-exclusive distribution of the version of the article published in Science and Philosophy ISSN: 2594-2204 (for example, including it in an institutional repository or publishing it in a book), provided they clearly indicate that the work was first published in Tlamati.
This is a human-readable summary of (and not a substitute for) the license.
You are free to:
Share
Read
Download
Translate
Copy
Distribute
Print
Search or link to the full text of the articles
Crawl them for indexing
Pass them as data into software or
Use them for any other lawful purpose, in any medium or format
License terms: https://creativecommons.org/licenses/by-sa/4.0/deed.es
You are free to:
Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
