广东农业科学2026，Vol.53Issue(3)：76-84,9.DOI:10.16768/j.issn.1004-874X.2026.03.007
广东梅州产区柑橘黄龙病时间流行动态及预测模型研究
Predictive Modeling of Citrus Huanglongbing Temporal Dynamics in Meizhou,Guangdong
摘要
Abstract
[Objective]This study aimed to analyze the epidemic trend of citrus Huanglongbing(HLB)in Meizhou production area,construct and screen temporal dynamic prediction models,identify key epidemic periods,and provide a theoretical basis and technical support for precise HLB management in this region.[Method]Plant disease epidemiology methods were combined with real-time quantitative PCR(qPCR)to systematically investigate and monitor the occurrence and progression of HLB in Meizhou area.Disease incidence and severity index were statistically analyzed.Five mathematical models including Logistic,Linear,Cubic,Gompertz,and Exponential were employed to fit the field observation data,and the optimal temporal dynamic prediction model was selected to identify the epidemic phases.[Result]During the monitoring period,the disease index rose from 12.5 to 68.5,indicating a rapid increase trend of HLB at the monitored site.The Logistic model(R2=0.987)and the Cubic model(R2=0.994)provided the best fit for the disease progression data.The inflection point of the Logistic model(73.8 d)coincided with the peak period of psyllid dispersal in the field,demonstrating clear biological relevance.Based on a significant negative correlation(r=-0.82)between qPCR-derived Ct values and the disease index,classification thresholds for disease severity were proposed:Level 1(Ct=30.4-31.5),Level 3(Ct=26.8-29.0),Level 5(Ct=22.9-24.6),and Level 7(Ct=20.0-21.6).[Conclusion]The Logistic model and the Cubic model are suitable for predicting the temporal dynamics of HLB in Meizhou production area.The Logistic model is recommended as the core forecasting tool,supplemented by the Cubic model for short-term trend analysis.The disease severity classification standard established based on the correlation between qPCR detection and the disease index provides a quantitative basis for early disease diagnosis.关键词
柑橘黄龙病/病害流行/病原菌检测/实时荧光定量PCR/模型构建Key words
citrus Huanglongbing/disease epidemiology/pathogen detection/quantitative real-time PCR(qPCR)/model construction分类
农业科技引用本文复制引用
孙嘉曼,罗舒仪,池庆豪,张进忠,罗海华,刘志伟..广东梅州产区柑橘黄龙病时间流行动态及预测模型研究[J].广东农业科学,2026,53(3):76-84,9.基金项目
广东省自然科学基金(2023A1515012735) （2023A1515012735）
广东省普通高校特色创新类项目(2023KTSCX142) （2023KTSCX142）
国家级大学生创新创业训练项目(202410582010) （202410582010）
广东省创新团队项目(2023KCXTD034) （2023KCXTD034）
