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影响番茄的物种的生物学、生态学和流行病学:预测模型开发的基础信息。

Biology, ecology, and epidemiology of species affecting tomato: ground information for the development of a predictive model.

作者信息

Salotti Irene, Giorni Paola, Battilani Paola

机构信息

Department of Sustainable Crop Production (DI.PRO.VES.), Università Cattolica del Sacro Cuore, Piacenza, Italy.

出版信息

Front Plant Sci. 2024 Sep 20;15:1430965. doi: 10.3389/fpls.2024.1430965. eCollection 2024.

DOI:10.3389/fpls.2024.1430965
PMID:39372854
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11449719/
Abstract

Among pathogens that affect tomato, spp. are important due to their implications in yield losses and the contamination of tomato products by mycotoxins. In this study, a systematic literature review was conducted to retrieve and analyze available data on the tomato pathosystem, with particular attention focused on the main biological processes included in the pathogen life cycle and mycotoxin production. We considered 110 papers (selected from initial 2,138 papers) on five species that were historically related or recently identified to cause damage to tomato leafage and fruits. Published mathematical models related to diseases in tomato were also screened based on their aim and development methods, highlighting the wide use of empirical approach. Retrieved information was also evaluated for applications in building a mechanistic, weather-driven model that incorporates the key steps of the pathogen life cycle. This systematic review highlights several knowledge gaps, including the effect of wetness on infection and environmental requirements for mycotoxin production, and suggests paths for further research especially for recently isolated species.

摘要

在影响番茄的病原体中,[病原体名称]属由于会导致产量损失以及番茄产品被霉菌毒素污染而具有重要影响。在本研究中,我们进行了一项系统的文献综述,以检索和分析有关番茄病害系统的现有数据,特别关注病原体生命周期和霉菌毒素产生过程中包含的主要生物学过程。我们考虑了110篇论文(从最初的2138篇论文中筛选得出),这些论文涉及五种历史上相关或最近确定会对番茄叶片和果实造成损害的[病原体名称]属物种。还根据其目的和开发方法筛选了与番茄病害相关的已发表数学模型,突出了经验方法的广泛应用。检索到的信息还被评估了在构建一个包含病原体生命周期关键步骤的机制性、天气驱动模型中的应用。这项系统综述突出了几个知识空白,包括湿度对感染的影响以及霉菌毒素产生的环境要求,并提出了进一步研究的途径,特别是针对最近分离出的物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88bf/11449719/01a330025887/fpls-15-1430965-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88bf/11449719/1d5f6c1369e2/fpls-15-1430965-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88bf/11449719/cbe06a132ccc/fpls-15-1430965-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88bf/11449719/e162f396a487/fpls-15-1430965-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88bf/11449719/01a330025887/fpls-15-1430965-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88bf/11449719/1d5f6c1369e2/fpls-15-1430965-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88bf/11449719/cbe06a132ccc/fpls-15-1430965-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88bf/11449719/e162f396a487/fpls-15-1430965-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88bf/11449719/01a330025887/fpls-15-1430965-g004.jpg

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Front Microbiol. 2023 Aug 4;14:1221633. doi: 10.3389/fmicb.2023.1221633. eCollection 2023.
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Development of a model for diseases with calibration for phylogenetic clades on different host plants.
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Toxins (Basel). 2022 Nov 24;14(12):827. doi: 10.3390/toxins14120827.
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