Emerging Themes and Approaches in Plant Virus Epidemiology

生物 寄主(生物学) 植物病毒 载体(分子生物学) 传输(电信) 领域(数学) 疾病 流行病学 病毒 生物技术 生态学 风险分析(工程) 病毒学 计算机科学 遗传学 医学 电信 基因 重组DNA 内科学 数学 病理 纯数学
作者
Michael Jeger,Nik J. Cunniffe,Fred Hamelin
出处
期刊:Phytopathology [American Phytopathological Society]
卷期号:113 (9): 1630-1646 被引量:3
标识
DOI:10.1094/phyto-10-22-0378-v
摘要

Plant diseases caused by viruses share many common features with those caused by other pathogen taxa in terms of the host-pathogen interaction, but there are also distinctive features in epidemiology, most apparent where transmission is by vectors. Consequently, the host-virus-vector-environment interaction presents a continuing challenge in attempts to understand and predict the course of plant virus epidemics. Theoretical concepts, based on the underlying biology, can be expressed in mathematical models and tested through quantitative assessments of epidemics in the field; this remains a goal in understanding why plant virus epidemics occur and how they can be controlled. To this end, this review identifies recent emerging themes and approaches to fill in knowledge gaps in plant virus epidemiology. We review quantitative work on the impact of climatic fluctuations and change on plants, viruses, and vectors under different scenarios where impacts on the individual components of the plant-virus-vector interaction may vary disproportionately; there is a continuing, sometimes discordant, debate on host resistance and tolerance as plant defense mechanisms, including aspects of farmer behavior and attitudes toward disease management that may affect deployment in crops; disentangling host-virus-vector-environment interactions, as these contribute to temporal and spatial disease progress in field populations; computational techniques for estimating epidemiological parameters from field observations; and the use of optimal control analysis to assess disease control options. We end by proposing new challenges and questions in plant virus epidemiology.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刘瑶龙完成签到 ,获得积分10
刚刚
1秒前
2秒前
姜姜完成签到 ,获得积分10
2秒前
tom发布了新的文献求助10
3秒前
RS6发布了新的文献求助10
3秒前
能干发夹发布了新的文献求助10
5秒前
清秀的向松完成签到,获得积分10
6秒前
窝想毕业发布了新的文献求助10
7秒前
研友_VZG7GZ应助威武的灵薇采纳,获得10
8秒前
乐乐应助鲤鱼迎蕾采纳,获得10
8秒前
9秒前
14秒前
14秒前
15秒前
15秒前
16秒前
17秒前
elle发布了新的文献求助10
18秒前
18秒前
orixero应助老流氓采纳,获得10
19秒前
科研通AI6.2应助小李老博采纳,获得10
20秒前
小马甲应助tom采纳,获得10
20秒前
21秒前
21秒前
21秒前
李丹发布了新的文献求助10
22秒前
22秒前
23秒前
lilily12376完成签到 ,获得积分10
24秒前
25秒前
27秒前
英俊的老太完成签到,获得积分10
28秒前
28秒前
wuchun发布了新的文献求助10
30秒前
长风完成签到,获得积分10
30秒前
32秒前
32秒前
刘萍完成签到 ,获得积分10
32秒前
星辰大海应助英俊的老太采纳,获得10
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7590178
求助须知:如何正确求助?哪些是违规求助? 9167671
关于积分的说明 19622749
捐赠科研通 7169418
什么是DOI,文献DOI怎么找? 3267268
关于科研通互助平台的介绍 2432134
邀请新用户注册赠送积分活动 2259442