The Virus Diseases of Plants Working Group of the Deutsche Phytomedizinische Gesellschaft e.V. (DPG) met this week under the theme “New innovations & techniques in plant virology.”
Co-organised by Julius Kühn Institute and DSMZ, the event featured talks, posters, and lively discussions on advances in understanding plant diseases. 🌱
Seeing yellow leaves on plants? It’s usually a sign of stress — from watering issues to nutrient imbalance or hydroponic pH problems.
Learn how to identify the real cause and fix it the right way 👇
🔗https://skyfieldagritech.com/yellow-leaves-on-plants/
#PlantHealth #Hydroponics #GardeningTips #NutrientDeficiency #PlantCare
🚨 #publication alert!
Just a few days into the new year and we already have a published #paper first-authored by our PhD candidate Sarah. 🎉
It is the first study on the volatile emissions of Synchytrium endobioticum (potato wart disease) on potatoes. We identified seven possible marker compounds using TD-GC-MS and #chemometrics.
S. endobioticum is a highly potent fungus classified as a quarantine pathogen in the EU, since it can affect #potato fields for more than 40 years.
Our research offers new insights into the volatilome and may enable future screening methods for potato diseases.
Read more ➡️ https://link.springer.com/article/10.1007/s41348-025-01216-9
#voc #planthealth #gcms #analyticalchemistry #potatowartdisease

Volatile organic compounds (VOCs) can serve as sensitive indicators of plant health and pathogen infection. In this study, gas chromatography–mass spectrometry combined with multivariate chemometric analysis was applied to identify VOC patterns specific to potato wart disease caused by the pathogen Synchytrium endobioticum. Healthy and artificially infected potato tubers were analyzed under controlled conditions, and the resulting chromatographic data were processed using a Python-based workflow integrating data merging, preprocessing, principal component analysis, and linear discriminant analysis. The chemometric models successfully distinguished infected from healthy tubers. Seven compounds, 1-methoxy-3-methylbutane, 3-methyl-1-butanol, 2-methyl-1-butanol, 2,3-butanediol, prenyl ethyl ether, styrene, and solavetivone, were identified as indicative for infection. In addition, a mass-specific evaluation demonstrated that discrimination is possible using selected ion fragments alone, providing a basis for simplified on-site applications. This study presents the first characterization of a volatile fingerprint for S. endobioticum infection and establishes a robust, time-efficient workflow for non-invasive detection of quarantine pathogens in potato crops.