Khadija Goura, Rachid Lahlali, Mohammed Baala, Nabila El Alami, Jihane Kenfaoui, Zineb Belabess, Abdessalem Tahiri
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引用次数: 0
Abstract
Blueberry (Vaccinium spp.) has been extensively planted in Morocco due to its nutritional value and economic importance. Botryosphaeria canker or stem blight of blueberry has emerged as one of the most destructive diseases affecting global production of this crop. This disease causes wood symptoms such as necrotic lesions, internal wood discoloration, and stem blight. Similar symptoms were found on blueberry farms in the Northwestern region of Morocco. Lasiodiplodia pseudotheobromae was isolated from the diseased tissues of blueberry. The identification of the causal agent was confirmed by morphological and molecular characterization through sequence analysis of two loci, the internal transcribed region (ITS) and beta-tubulin (βtub). The pathogenicity test was performed on blueberry twigs and indicated that L. pseudotheobromae causes damage to blueberry plants. This is the first report of L. pseudotheobromae on blueberry in Morocco.
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.
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