Validation of diagnostic tests to support plant health

    Project: EU research project

    Project Details

    Description

    Regulated or non-regulated pests (bacteria, virus, fungi, nematodes, arthropods or weeds) are responsible of major crops’ losses. Accurate and reliable detection and identification of pests are essential to avoid or reduce economical costs and trade disruptions and to support surveillance activities. In recent years, numerous tests based on new technologies have been developed to meet the different needs. However, most of them are validated on an intra-laboratory basis, through limited test performance studies (TPS) or ring trials, and there is a need to further harmonize practices. The project aims at producing validation data and will include two rounds of TPS. The first one will include combinations of pest/test/matrix, prioritized based on the expertise of the project''s consortium. The second round will include other combinations based on the needs expressed by various stakeholders. Priorities for validation will then be better aligned to their needs and to the market. To maximize the impact of the project, calls of interest will be organized to include in the validation programme, kits of suppliers outside the consortium and allow participation to the TPS of voluntary proficient laboratories. Current harmonized procedures in Plant Health for validation and organization of TPS will be improved by including appropriate statistical approaches and by adapting the process for new promising technologies, such as Next Generation Sequencing. Liaison with regional and international standardization bodies will allow large dissemination of validation data obtained in this project especially by their inclusion in harmonized diagnostic protocols. The outcomes of the project will stimulate, optimize and strengthen the interactions between stakeholders in Plant Health for better diagnostics and lay the foundations for structuring the quality and the commercial offers for plant health diagnostics tools thanks to a dedicated association and a quality charter.
    AcronymVALITEST
    StatusFinished
    Effective start/end date1/05/1831/10/21

    Fingerprint

    Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
    • Facilitating the adoption of high-throughput sequencing technologies as a plant pest diagnostic test in laboratories: A step-by-step description

      Lebas, B., Adams, I., Al Rwahnih, M., Baeyen, S., Bilodeau, G., Blouin, A. G., Boonham, N., Candresse, T., Chandelier, A., De Jonghe, K., Fox, A., Gaafar, Y. Z. A., Gentit, P., Haegeman, A., Ho, W., Hurtado-Gonzales, O., Jonkers, W., Kreuze, J., Kutjnak, D. & Landa, B. & 34 others, Liu, M., Maclot, F., Malapi-Wight, M., Maree, H. J., Martoni, F., Mehle, N., Minafra, A., Mollov, D., Moreira, A., Nakhla, M., Petter, F., Piper, A. M., Ponchart, J., Rae, R., Remenant, B., Rivera, Y., Rodoni, B., Roenhorst, J., Rollin, J., Saldarelli, P., Santala, J., Souza-Richards, R., Spadaro, D., Studholme, D. J., Sultmanis, S., van der Vlugt, R., Tamisier, L., Trontin, C., Vazquez-Iglesias, I., Vicente, C. S. L., Vossenberg, B. T. L. H., Wetzel, T., Ziebell, H. & Massart, S., Aug 2022, In: EPPO Bulletin. 52, 2, p. 394-418

      Research output: Contribution to journalArticleAcademicpeer-review

      Open Access
      32 Citations (Scopus)
    • Guidelines for improving statistical analyses of validation datasets for plant pest diagnostic tests

      Massart, S., Lebas, B., Chabirand, A., Chappé, A. M., Dreo, T., Faggioli, F., Harrison, C., Macarthur, R., Mehle, N., Mezzalama, M., Petter, F., Ravnikar, M., Renvoisé, J. P., Spadaro, D., Tomassoli, L., Tomlinson, J., Trontin, C., van der Vlugt, R., Vučurović, A. & Weekes, R. & 1 others, Brostaux, Y., Aug 2022, In: EPPO Bulletin. 52, 2, p. 419-433

      Research output: Contribution to journalArticleAcademicpeer-review

      Open Access
      3 Citations (Scopus)
    • Guidelines for the reliable use of high throughput sequencing technologies to detect plant pathogens and pests

      Massart, S., Adams, I., Al Rwahnih, M., Baeyen, S., Bilodeau, G., Blouin, A. G., Boonham, N., Candresse, T., Chandelier, A., de Jonghe, K., Fox, A., Gaafar, Y. Z. A., Gentit, P., Haegeman, A., Ho, W., Hurtado-Gonzales, O., Jonkers, W., Kreuze, J., Kutnjak, D. & Landa, B. & 36 others, Liu, M., Maclot, F., Malapi-Wight, M., Maree, H. J., Martoni, F., Mehle, N., Minafra, A., Mollov, D., Moreira, A., Nakhla, M., Petter, F., Piper, A. M., Ponchart, J., Rae, R., Remenant, B., Rivera, Y., Rodoni, B., Boterans, M., Roenhorst, J. W., Rollin, J., Saldarelli, P., Santala, J., Souza-Richards, R., Spadaro, D., Studholme, D. J., Sultmanis, S., van der Vlugt, R. A. A., Tamisier, L., Trontin, C., Vazquez-Iglesias, I., Vicente, C. S. L., Vossenberg, B. T. L. H., Westenberg, M., Wetzel, T., Ziebell, H. & Lebas, B., 30 Sept 2022, In: Peer Community Journal. 2, e62.

      Research output: Contribution to journalArticleAcademicpeer-review

      Open Access
      30 Citations (Scopus)