田间条件下降雨对气传小麦锈病孢子日周期的破坏性影响

IF 5.6 1区 农林科学 Q1 AGRONOMY
Frédéric Suffert
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引用次数: 0

摘要

小麦条锈病(Pst)和叶锈病(Pt)是小麦生产的主要威胁之一。预测流行病需要对驱动孢子扩散的机制有更深入的了解。许多研究要么采用纯相关方法的现场数据,而没有纳入对物理机制的既定知识,要么相反,依赖于受控环境中的特定物理方法,只关注少数机制或因素。很少强调全面的实地研究,在这些研究中,风和雨起着至关重要的作用。这项研究填补了这一空白,试图揭示在活跃的锈病流行期间,降雨影响小麦冠层上空气中孢子浓度的过程。在两个多月的时间里,从伯卡德捕虫器中采集的每两小时的孢子计数与详细的气象数据相结合,揭示了季节和昼夜趋势。空气中孢子浓度的日峰值通常是由风和湿度的周期性变化驱动的,而雨则显著改变了这一峰值。降雨事件要么通过“雨泡”将孢子浓度放大25倍,要么通过“冲刷”和“冲刷”将孢子浓度耗尽。数据集中的降雨事件被分为具有不同影响的类别:“前兆”降雨通常会引发孢子释放,而“后续”降雨(和长时间降雨)会减少空气中的孢子浓度。此外,还观察到Pst和Pt在扩散动力学上的差异,其中一些与湿度和风对孢子聚集的影响有关。这些结果为更全面地了解降雨的影响和改进预报模式提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Disruptive effect of rainfalls on the diurnal periodicity of airborne wheat rust spore under field conditions

Disruptive effect of rainfalls on the diurnal periodicity of airborne wheat rust spore under field conditions
Stripe rust and leaf rust, caused by Puccinia striiformis f. sp. tritici (Pst) and Puccinia triticina (Pt), respectively, are major threats to wheat production. Forecasting epidemics requires a deeper understanding of the mechanisms driving spore dispersal. Many studies have either employed field data for purely correlative approaches without incorporating established knowledge on physical mechanisms or, conversely, relied on specific physical approaches in controlled environments focusing on only a few mechanisms or factors. Little emphasis has been placed on holistic field-based studies, where wind and rain play crucial roles. This study fills that gap by attempting to unravel the processes by which rainfall affects airborne spore concentrations over a wheat canopy during active rust epidemics. Over more than two months, bi-hourly spore counts from Burkard traps were integrated with detailed meteorological data, revealing both seasonal and diurnal trends. Diurnal peaks in airborne spore concentrations, typically driven by cyclic changes in wind and humidity, were dramatically altered by rain. Rain events either amplified spore concentrations by up to 25-fold through 'rain-puff' and/or depletes them via ‘wash-out’ and ‘wash-off’. Rains events from the dataset were classified into categories with distinct impacts: ‘precursor’ rains often trigger spore release, while ‘follower’ (and prolonged rains) reduce airborne spore concentrations. Moreover, differences in the dispersal dynamics of Pst and Pt were observed, and some were linked to how humidity and wind influence spore clustering. These results provide valuable insights for a more integrated understanding of the effect of rain and in order to enhance forecasting models.
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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