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Temporal Progress and Spatial Patterns of Northern Corn Leaf Blight in Corn Fields in China
Hui Liu1, Fangfang Guo1, Xinglong Chen2
1Department of Plant Pathology, China Agricultural University, 100193 Beijing, China.
Northern corn leaf blight (NCLB) spreads rapidly, with early incidence predicting final severity. Lesions and infected plants show aggregated patterns, indicating local spread is key for managing this devastating corn disease.
Area of Science:
- Plant Pathology
- Agricultural Science
- Epidemiology
Background:
- Northern corn leaf blight (NCLB), caused by *Exserohilum turcicum*, is a significant corn disease in China.
- Understanding NCLB epidemiology is crucial for effective disease management strategies.
Purpose of the Study:
- To investigate the temporal progress and spatial patterns of NCLB in Beijing.
- To identify key factors influencing NCLB epidemics.
Main Methods:
- Monitoring NCLB incidence and lesion counts in susceptible corn cultivars over two growing seasons.
- Analyzing temporal disease progress using logistic models.
- Assessing spatial patterns of disease distribution using statistical methods (join-counts, variance of moving window averages, semivariogram analysis).
Main Results:
- A logistic model accurately described NCLB temporal progress.
- Initial disease incidence was the primary factor determining final NCLB severity.
- NCLB leaf lesions and infected plants exhibited aggregated spatial patterns within fields.
- Local spread via conidia appears significant in disease dissemination.
Conclusions:
- Early detection and monitoring of NCLB incidence are critical for predicting disease severity.
- The aggregated spatial distribution of NCLB necessitates comprehensive field sampling for accurate incidence estimation.
- Understanding disease spread patterns can inform targeted control measures for NCLB in corn.
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