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确定大麦黄花叶病毒病流行病学时空动态的驱动因素是疾病控制的关键因素。

Identifying drivers of spatio-temporal dynamics in barley yellow dwarf virus epidemiology as a critical factor in disease control.

机构信息

Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Bottelare, Belgium.

Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.

出版信息

Pest Manag Sci. 2020 Aug;76(8):2548-2556. doi: 10.1002/ps.5851. Epub 2020 Apr 20.

DOI:10.1002/ps.5851
PMID:32248658
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7383682/
Abstract

Barley yellow dwarf virus (BYDV) is one of the most important viral diseases of small grains worldwide. An understanding of its epidemiology is crucial to control this disease in a sustainable way. The virus moves through the agricultural landscape via cereal aphids as vectors. Understanding movement of these aphids in space and time is of key importance and in doing so, the spatial and temporal variables that influence BYDV epidemiology can be identified. The presence of summer hosts, crop rotation, crop diversity, agricultural practices and climate variables are crucial. Through digitalization, spatial (e.g. land-use) and temporal (e.g. weather) information is becoming more readily available. Including this information into a prediction model could improve decision support systems that will rationalize the decision-making process towards a more integrated control of the disease. © 2020 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

摘要

大麦黄花叶病毒(BYDV)是全球小粒谷物最重要的病毒性疾病之一。了解其流行病学对于可持续控制该疾病至关重要。病毒通过作为载体的禾谷缢管蚜在农业景观中传播。了解这些蚜虫在空间和时间上的移动情况非常重要,在此过程中,可以确定影响 BYDV 流行病学的空间和时间变量。夏季寄主的存在、作物轮作、作物多样性、农业实践和气候变量都至关重要。通过数字化,空间(例如土地利用)和时间(例如天气)信息变得更加容易获取。将这些信息纳入预测模型中,可以改进决策支持系统,从而使决策过程更加合理化,实现对疾病的更综合控制。© 2020 作者。Pest Management Science 由 John Wiley & Sons Ltd 代表化学工业协会出版。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04da/7383682/23a97e79ae4f/PS-76-2548-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04da/7383682/f4c0228a9c94/PS-76-2548-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04da/7383682/c76e53fb9298/PS-76-2548-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04da/7383682/23a97e79ae4f/PS-76-2548-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04da/7383682/f4c0228a9c94/PS-76-2548-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04da/7383682/c76e53fb9298/PS-76-2548-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04da/7383682/23a97e79ae4f/PS-76-2548-g003.jpg

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