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AC-DC Electropenetrography for the Study of Probing and Ingestion Behaviors of Culex tarsalis Mosquitoes on Human Hands
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Novel program for automatic calculation of EPG variables.

Elisa Garzo1, Antonio Jesús Álvarez2, Aránzazu Moreno1

  • 1Departamento de Protección de Cultivos, Instituto de Ciencias Agrarias, CSIC, Madrid, Spain.

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|June 28, 2024
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Summary

This study introduces a new Excel Workbook for automatically calculating electrical penetration graph (EPG) variables, simplifying feeding behavior analysis in pierce-sucking insects. The tool offers standardized analysis and handles common data issues, improving research efficiency.

Keywords:
electrical penetration graph techniquefeeding behaviorphloem feedertruncate wave criterionworkbook

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Area of Science:

  • Entomology
  • Insect Physiology
  • Bioinstrumentation

Background:

  • The electrical penetration graph (EPG) technique is crucial for studying pierce-sucking insect feeding behavior.
  • Manual calculation of EPG variables is time-consuming, necessitating automated solutions.
  • Existing software for EPG analysis has limitations.

Purpose of the Study:

  • To develop a user-friendly Excel Workbook for the automatic calculation of EPG variables.
  • To provide a standardized and reliable tool for EPG data analysis.
  • To address challenges in EPG data interpretation, such as truncated waveforms.

Main Methods:

  • Development of a Visual Basic for Applications (VBA) program integrated into a Microsoft Excel Workbook.
  • Implementation of a standardized list of EPG variables based on expert guidelines.
  • Validation using EPG recordings from aphids and psyllids, with comparison to existing software (e.g., Sarria Workbook).

Main Results:

  • The developed Excel Workbook automates the calculation of up to 127 EPG variables.
  • The software offers enhanced data analysis and interpretation capabilities.
  • A novel function was included to manage truncated waveforms.

Conclusions:

  • The new EPG Workbook provides a reliable and standardized tool for researchers.
  • It significantly improves the efficiency and accuracy of EPG data analysis for phloem-sap-sucking insects.
  • This tool represents a step forward from existing EPG analysis software.