The role of wind in the spatiotemporal distribution of strawberry powdery mildew in high-tunnel growing systems

IF 2.1 3区 环境科学与生态学 Q2 BIOLOGY
Anna Aldrighetti, Nadia Vendrame, Rachele Nieri, Dino Zardi, Sofia Farina, Roberto Rosà, Ilaria Pertot
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引用次数: 0

Abstract

Strawberry powdery mildew, caused by Podosphaera aphanis, is a major fungal disease affecting strawberry cultivation worldwide. Its rapid lifetime cycle and ability to spread under a wide range of favourable conditions make early detection and management particularly challenging. Understanding the impact of environmental factors on disease dispersal is crucial for improving forecasting and control strategies. This study investigated the spatiotemporal distribution of strawberry powdery mildew in a high tunnel with a specific focus on wind as a primary driver of inoculum release and dispersal. Disease spread was monitored from a single inoculum source, both under natural wind conditions and with minimized wind influence to assess pathogen dispersal efficiency under varying wind speeds. The infection rate was modelled using a Zero-Inflated Negative Binomial (ZINB) model according to airborne conidium concentration and distance from the inoculum. Results show that disease spread follows an exponential decay pattern with a dispersal rate of 1.65 m day−1. Temperature and relative humidity significantly influence conidium release, with wind as the most critical factor driving pathogen dispersal. Wind contributes to the formation of heterogeneous infectious hotspots along the tunnel, shaping the spatial and temporal distribution of the disease. However, wind speed had no significant impact on quantitative disease progression, highlighting high pathogen dispersal efficiency even under low wind conditions.

Abstract Image

Abstract Image

风对高隧道栽培草莓白粉病时空分布的影响
草莓白粉病是一种影响世界草莓栽培的主要真菌病。其快速的生命周期和在广泛有利条件下传播的能力使早期发现和管理特别具有挑战性。了解环境因素对疾病传播的影响对于改进预测和控制策略至关重要。本研究对草莓白粉病在高风洞中的时空分布进行了研究,重点研究了风作为接种物释放和传播的主要驱动因素。从单一接种源监测疾病传播,在自然风条件下和最小风影响下评估不同风速下病原体传播效率。采用零膨胀负二项(Zero-Inflated Negative Binomial, ZINB)模型,根据空气中的分生孢子浓度和与接种物的距离建立感染率模型。结果表明,疾病传播呈指数衰减模式,传播速率为1.65 m d - 1。温度和相对湿度对分生孢子释放有显著影响,其中风是病原菌传播的最关键因素。风有助于沿通道形成异质感染热点,塑造疾病的时空分布。然而,风速对定量疾病进展没有显著影响,表明即使在低风速条件下,病原体的传播效率也很高。
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来源期刊
Aerobiologia
Aerobiologia 环境科学-环境科学
CiteScore
4.50
自引率
15.00%
发文量
37
审稿时长
18-36 weeks
期刊介绍: Associated with the International Association for Aerobiology, Aerobiologia is an international medium for original research and review articles in the interdisciplinary fields of aerobiology and interaction of human, plant and animal systems on the biosphere. Coverage includes bioaerosols, transport mechanisms, biometeorology, climatology, air-sea interaction, land-surface/atmosphere interaction, biological pollution, biological input to global change, microbiology, aeromycology, aeropalynology, arthropod dispersal and environmental policy. Emphasis is placed on respiratory allergology, plant pathology, pest management, biological weathering and biodeterioration, indoor air quality, air-conditioning technology, industrial aerobiology and more. Aerobiologia serves aerobiologists, and other professionals in medicine, public health, industrial and environmental hygiene, biological sciences, agriculture, atmospheric physics, botany, environmental science and cultural heritage.
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