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We are happy to announce the publication of the “Data Decision Tree for identifying potential risks for microorganisms when used in plant protection”.
In this paper, a tiered approach was used to indicate potential risk areas and a progressive ‘Data Decision Tree’ and risk-based flowchart was developed.
Considering relevant risk factors for microorganisms, a branched Data Decision Tree has been developed that considers:
- Identity and biological properties
- Effects on human health
- Residues
- Effects on non-target organisms
- Environmental fate and behaviour
Such a scientific risk-based decision tree approach can streamline the development of data for the dossier and the evaluation. This will accelerate the placing on the market of plant protection products containing microorganisms, which is so important for the transition to more sustainable and more resilient cropping systems.
- Hauschild, R., et al. (2025). Data Decision Tree for identifying potential risks for microorganisms when used in plant protection. Biocontrol Science and Technology, 1–33. https://doi.org/10.1080/09583157.2025.2450414
- This article is part of a series of three articles on decision trees (natural substances, microorganisms, semiochemicals – upcoming) and follows the publication of the Natural Substances Decision Tree (June 2023)