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

{"title":"Modelling Citrus Huanglongbing Spread in Scenarios Involving Alternative Hosts, Vector Populations and Removal of Symptomatic Plants","authors":"Sônia Ternes, Raphael G. d' A. Vilamiu, Alécio Souza Moreira, Marcelo Rossi, Tâmara T. de C. Santos, Francisco Ferraz Laranjeira","doi":"10.1111/jph.13445","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>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 (<i>Murraya paniculata</i>) and <i>Diaphorina citri</i> 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.</p>\n </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"172 6","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Phytopathology","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jph.13445","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PLANT SCIENCES","Score":null,"Total":0}

引用次数: 0

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.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Phytopathology 生物-植物科学

CiteScore

2.90

自引率

0.00%

发文量

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.