First Report of Diaporthe arecae Causing Dieback in Mangifera indica in Brazil

IF 1.1 4区农林科学 Q3 PLANT SCIENCES

Journal of Phytopathology Pub Date : 2025-09-08 DOI:10.1111/jph.70163

Ana Gabriele Gurgel Amaral, Ingrid Gomes Duarte, Ailton Reis, Alexandre Sandri Capucho, Stephan Miller, Lisa A. Castlebury, Marcos P. S. Câmara

引用次数: 0

Abstract

In 2024, dieback was detected on mango trees in Pernambuco, Brazil, with 40% disease incidence in all areas visited. Three isolates (MP22, MP27 and MP29) were obtained. Based on morphology, cultural and molecular analysis, the causal agent was identified as Diaporthe arecae. Koch's postulates were fulfilled by pathogenicity tests carried out on mango tree branches (cv. Tommy Atkins). To our knowledge, this is the first report of D. arecae causing dieback in mango (cv. Tommy Atkins) in Brazil.

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巴西芒果枯梢病的第一次报告

2024年，在巴西伯南布哥发现芒果树枯死，在所访问的所有地区发病率为40%。分离得到3株分离株MP22、MP27和MP29。通过形态学、培养和分子分析，确定病原为飞散菌。在芒果树枝上进行的致病性试验证实了科赫的假设。汤米阿特金斯)。据我们所知，这是第一次报道D. arecae引起芒果枯死(cv。汤米·阿特金斯)在巴西。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Phytopathology 生物-植物科学

CiteScore

2.90

自引率

0.00%

发文量

审稿时长

4-8 weeks

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.