番茄白粉病的空间特征及其在工业大棚中的传播

Anastasia Sokolidi, R. Webster, A. Milne, M. Bielik, Philip S. Morley, J. Clarkson, J. West
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摘要

在气候凉爽的温带地区,番茄在大型温室中以工业规模种植。在那里,农作物很容易受到白粉病的感染,这种真菌主要以真菌孢子的形式从温室外引入,并通过风在温室内传播。我们监测了该疾病的传播,并绘制了其在四个商业温室整个生长季节的分布图,以了解其病因。我们对感染模式进行了地理统计学建模,每个模式都包括一个确定性的长期趋势和一个短期空间相关的随机残差。我们确定了三种主要的模式;一个由常数加上空间相关残差组成,第二个由整个温室的线性趋势加上相关随机残差组成,第三个趋势具有类似于高斯曲面的钟形形式,再加上相关随机残差。在这里,我们展示了这些分布的三个例子和它们的地质统计分析的细节,使用传统的矩量(MoM)估计变差和残差最大似然(REML)来分离确定性和随机成分。在第一种情况下,分析建模之后是普通准时克里格,在第二种情况下是通用克里格,在第三种情况下是回归克里格,以显示感染的等高线(“等高线”)地图。我们将第一种分布形式解释为孢子落在叶片上的众多焦点,这些孢子来自不同的来源,通过气流和工人沿着温室的路径传播。在第二个案例中,这种疾病似乎是从温室一角的正门传入的,并由工人和气流从那里传播开来的。第三种感染发生在温室中心主干道附近,并从那里向外传播。在这三个例子中,主要途径似乎是真菌传播的重要途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Characteristics of the Fungus Powdery Mildew (Erysiphe neolycopersici) on Tomatoes and its Spread in Industrial Greenhouses
In regions with cool temperate climates, tomatoes are grown on an industrial scale in large greenhouses. There the crops are susceptible to infection by powdery mildew, the fungus Erysiphe neolycopersici, which is introduced largely as fungal spores from outside the greenhouses and spread by wind within them. We have monitored the spread of the disease and mapped its distribution in four commercial greenhouses throughout the growing season to understand its aetiology. We modelled the patterns of infection geostatistically, each comprising a deterministic long-range trend plus a short-range spatially correlated random residual. We identified three main kinds of pattern; one consisted of a constant plus a spatially correlated residual, second comprised a linear trend throughout the greenhouse plus a correlated random residual, and third, the trend had the form of a bell akin to a Gaussian surface plus, again, a correlated random residual. Here, we show three examples of these distributions and the detail of their geostatistical analysis using both the traditional method of moments (MoM) estimation of variograms and residual maximum likelihood (REML) to separate the deterministic and random components. The analytical modelling is followed by ordinary punctual kriging in the first case, by universal kriging in the second, and by regression kriging in the third case to display the infection as isarithmic ("contour") maps. We interpret the first form of distribution as arising from numerous foci as spores landed on the leaves from various sources spread by air currents and the movement of workers along the paths through the greenhouse. In the second case, the disease seemed to have spread from an infection introduced through the main door in one corner of the greenhouse and spread from there by the workers and air currents. The third infection arose near the centre of the greenhouse by the main path and spread outwards from there. In all three examples, the main pathways seemed important routes along which the fungus spread.
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