Modelling Citrus Huanglongbing Spread in Scenarios Involving Alternative Hosts, Vector Populations and Removal of Symptomatic Plants

IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Journal of Phytopathology Pub Date : 2024-12-15 DOI:10.1111/jph.13445
Sônia Ternes, Raphael G. d' A. Vilamiu, Alécio Souza Moreira, Marcelo Rossi, Tâmara T. de C. Santos, Francisco Ferraz Laranjeira
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Abstract

Huanglongbing (HLB) is the most devastating citrus disease around the world. We have modelled HLB spread in scenarios with different populational levels of the main alternative host (Murraya paniculata) and Diaphorina citri Kuwayama (Asian citrus psyllid—ACP) vector of HLB-associated bacteria and the removal of HLB-symptomatic plants. A compartmental deterministic mathematical model was built for representing the HLB dynamics in the Recôncavo Baiano, Bahia State, Brazil. The model encompasses delays on latency and incubation disease periods and on the ACP nymphal stages. The simulations indicated that presence of alternative hosts at a low proportion would not play a crucial role in HLB dynamics in situations of poor ACP management, regardless of HLB-symptomatic plant eradication. Symptomatic citrus plants contribute more to increase the HLB incidence than the alternative host in scenarios without a suitable ACP management.

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柑橘黄龙病在不同寄主、媒介种群和有症状植物移除情况下的传播模型
黄龙病(HLB)是世界上最具破坏性的柑橘病害。我们模拟了在不同种群水平的主要替代寄主(Murraya paniculata)和HLB相关细菌载体(亚洲柑橘木虱- acp)和去除HLB症状植物的情况下HLB的传播。为表示巴西巴伊亚州Recôncavo Baiano的HLB动态,建立了分区确定性数学模型。该模型包括潜伏期和潜伏期疾病期以及ACP若虫期的延迟。模拟结果表明,在ACP管理较差的情况下,低比例的替代寄主不会对HLB动态起关键作用,无论是否有HLB症状的植物根除。在没有适当ACP管理的情况下,有症状的柑橘植株比替代寄主更能增加HLB发病率。
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来源期刊
Journal of Phytopathology
Journal of Phytopathology 生物-植物科学
CiteScore
2.90
自引率
0.00%
发文量
88
审稿时长
4-8 weeks
期刊介绍: Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays. Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes. Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.
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