鉴定植物病原真菌的全球挑战:综述与前进方向的建议

IF 0.6 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Chiang Mai Journal of Science Pub Date : 2023-07-31 DOI:10.12982/cmjs.2023.039

M. Dayarathne, Kasun M. Thambugala, D. Daranagama, A. Mridha, A. Dissanayake, L. Dissanayake, S. Maharachchikumbura, Rmcs Rathnayake, S. Lumyong, S. Hongsanan

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引用次数: 0

摘要

真菌植物病害是世界范围内造成重大作物和收获后损失的原因，对许多依赖农业经济的个人产生重大的社会经济影响。本文讨论了鉴定植物病原真菌(严重破坏重要作物)的主要限制因素，包括样品收集、田间和形态学观察、真菌分离、获得纯培养物、应用科赫假设、DNA条形码、系统发育分析以及根据选定的案例研究命名真菌(在“一种真菌，一种名称”概念下)。此外，还讨论了迄今为止克服这些限制的可用策略/方法。最后，我们提出了尽量减少这些限制的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Global Challenges in Identifying Plant Pathogenic Fungi: An Overview with Suggestions for the Way Forward

Fungal plant diseases are responsible for major crop and postharvest losses worldwide, with a signifi cant socio-economic impact on many individuals who depend on an agriculture-based economy. This review discusses the major constraints in identifying plant pathogenic fungi (severely destructive on important crops) in sample collection, fi eld, and morphological observations, fungal isolation, obtaining pure cultures, applying Koch’s postulates, DNA barcoding, phylogenetic analyses, and naming fungi (under “One fungus, One name” concept) based on selected case studies. Additionally, available strategies/methods to overcome those limitations up to date are also discussed. Ultimately, we proposed suggestions to minimize those limitations.

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来源期刊

Chiang Mai Journal of Science MULTIDISCIPLINARY SCIENCES-

CiteScore

1.00

自引率

25.00%

发文量

103

审稿时长

3 months

期刊介绍： The Chiang Mai Journal of Science is an international English language peer-reviewed journal which is published in open access electronic format 6 times a year in January, March, May, July, September and November by the Faculty of Science, Chiang Mai University. Manuscripts in most areas of science are welcomed except in areas such as agriculture, engineering and medical science which are outside the scope of the Journal. Currently, we focus on manuscripts in biology, chemistry, physics, materials science and environmental science. Papers in mathematics statistics and computer science are also included but should be of an applied nature rather than purely theoretical. Manuscripts describing experiments on humans or animals are required to provide proof that all experiments have been carried out according to the ethical regulations of the respective institutional and/or governmental authorities and this should be clearly stated in the manuscript itself. The Editor reserves the right to reject manuscripts that fail to do so.