What Did We Achieve Through VALITEST, an EU Project on Validation in Plant Pest Diagnostics?

Abstract

Ensuring the reliability of diagnostic activities is an essential cornerstone of plant health strategies to reduce the risk of entry and spread of plant pests in a region and ultimately their impacts. Diagnostic tests should be validated to ensure that they are fit for purpose. Validation is usually done by diagnostic laboratories, although companies commercializing diagnostic kits also produce validation data for their products. Due to the high number of pest, matrix, and method combinations and given the significant resources required to validate tests, it is essential that validation data are shared with the entire diagnostic community and produced in a harmonized way to facilitate their use by different stakeholders. Indeed, the selection of tests to be used in specific contexts is not the sole responsibility of diagnostic laboratories but also involves national plant protection organizations. The VALITEST EU project (2018 to 2021) was established to tackle all these issues. New validation data for tests targeting important pests for the European and Mediterranean Plant Protection Organization region were produced. Guidelines to improve and harmonize the validation framework were developed. Sharing of validation data and experience was ensured through the development of new or existing databases, the organization of training courses, and the dissemination of the project outputs in scientific publications and standards. Finally, the involvement of researchers, diagnosticians, policy makers, inspectors, and industries and the establishment of the European Plant Diagnostic Industry Association were important actions to strengthen the interactions between plant health stakeholders. [Figure: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Keywords

• high-throughput sequencing
• plant pest diagnostics
• reference material
• test performance study
• training
• validation