María B. Contreras-Soto, Guillermo Márquez-Licona, Alma R. Solano-Báez, José A. Carrillo-Fasio, Isabel Cruz-Lachica, Isidro Márquez-Zequera, Raymundo S. García-Estrada, Juan M. Tovar-Pedraza
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引用次数: 0
Abstract
In January 2025, severe white mould symptoms were observed on cucumber fruits (Cucumis sativus L.) from plants grown under shade netting in Navolato, Sinaloa, Mexico. Morphological characterisation enabled the identification of Sclerotinia sclerotiorum, and its identity was confirmed through phylogenetic analysis using ITS region sequences. Isolates of S. sclerotiorum were inoculated onto cucumber fruits (European and pickling types), producing typical symptoms of fruit rot and white mould. In the in vitro sensitivity assay, five S. sclerotiorum isolates were evaluated and exhibited EC50 value ranges of 0.0098–0.0204, 0.0068–0.0570, 0.0006–0.0031, and 0.0968–3.1648 μg mL−1 for the fungicides pydiflumetofen, pyraclostrobin, fluazinam, and thiophanate-methyl, respectively. This study provides relevant information for the diagnosis and management of white mould in cucumber crops.
期刊介绍:
Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays.
Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes.
Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.