Suppr超能文献

全球兰科植物病害地理研究趋势的变化:近期发生情况、分布、处理和挑战。

Changes in global Orchidaceae disease geographical research trends: recent incidences, distributions, treatment, and challenges.

机构信息

Key Laboratory of Basic Pharmacology and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University , Zunyi, Guizhou, China.

Bioresource Institute for Healthy Utilization, Zunyi Medical University , Zunyi, Guizhou, China.

出版信息

Bioengineered. 2021 Dec;12(1):13-29. doi: 10.1080/21655979.2020.1853447.

Abstract

Many of the Orchidaceae species are threatened due to environmental changes and over exploitation for full fill global demands. The main objective of this article was critically analyzed the recent global distribution of Orchidaceae diversity, its disease patterns, microbial disease identification, detection, along with prevention and challenges. Critical analysis findings revealed that Orchidaceae growth and developments were affected indirectly or directly as a result of complex microbial ecological interactions. Studies have identified many species associated with orchids, some are pathogenic and cause symptoms such as soft rot, brown rot, brown spot, black rot, wilt, foliar, root rot, anthracnose, leaf spot. The review was provided the comprehensive data to evaluate the identification and detection of microbial disease, which is the most important challenge for sustainable cultivation of Orchidaceae diversity. Furthermore, this article is the foremost of disease triggering microbes, orchid relations, and assimilates various consequences that both promoted the considerate and facts of such disease multipart, and will permit the development of best operative disease management practices.

摘要

由于环境变化和全球需求的过度开采,许多兰科物种受到威胁。本文的主要目的是批判性地分析兰科多样性的全球分布、疾病模式、微生物疾病鉴定、检测以及预防和挑战。分析结果表明,由于复杂的微生物生态相互作用,兰科植物的生长和发育受到间接或直接的影响。研究已经确定了许多与兰花相关的物种,其中一些是病原性的,会导致软腐病、褐腐病、褐斑病、黑腐病、萎蔫、叶斑病、根腐病、炭疽病、叶斑病等症状。综述提供了全面的数据来评估微生物疾病的鉴定和检测,这是兰花多样性可持续栽培的最重要挑战。此外,本文是对引发疾病的微生物、兰花关系以及各种后果的最全面的综述,既促进了对这些疾病多方面的关注和了解,也为制定最佳的疾病管理实践提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a2d/8806279/3c83e34618e6/KBIE_A_1853447_UF0001_OC.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验