The dynamics of an interaction between Digitaria sanguinalis and Ustilago syntherismae at local scale is strongly influenced by environment and spatial distribution,Plant Pathology

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The dynamics of an interaction between Digitaria sanguinalis and Ustilago syntherismae at local scale is strongly influenced by environment and spatial distribution
Plant Pathology ( IF 2.3 ) Pub Date : 2019-12-16 , DOI: 10.1111/ppa.13129
M. T. Mas ₁ , A. M. C. Verdú ₁

Affiliation

A wild loose smut–summer annual grass interaction was studied to explore the relative importance of some local spatiotemporal patterns of variation for its existence. The prevalence‐related variable measured was the proportion of diseased plants (PDP). The mean annual PDP of nine consecutive seasons (2009–2017) was analysed using a generalized linear model with a binomial distribution considering covariables related to rainfall. During the seasons 2013–2015, the precise location of each sample within the plot was taken into account. The PDP of these seasons was analysed in various ways by means of generalized linear models, searching for its spatial variation with plant density in a given season, and with sorus and seeded inflorescence densities of the previous season. Symptomless plants were estimated as 6.1% of the 2015 population. The mean annual PDP ranged from 0.08 to 0.42 and covaried positively with precipitation. Within the field, two zones could be repeatedly delimited among seasons: one in which high plant densities and high PDP co‐occurred, and another with lower values of both in which PDP depended on the sorus density. The role played by differences in the encounter rate within and among seasons is discussed; lack of encounter could be as necessary as encounter for plant–pathogen coexistence over time.

中文翻译：

Digitaria sanguinalis和Ustilago syntherismae在局部尺度上的相互作用动力学受到环境和空间分布的强烈影响

研究了野生的黑穗病-夏季一年生禾草的相互作用，以探讨某些局部时空变化模式对其存在的相对重要性。测得的与患病率相关的变量是患病植物的比例（PDP）。使用具有与降雨相关的协变量的二项分布的广义线性模型，分析了连续九个季节（2009-2017）的年平均PDP。在2013-2015年的季节中，考虑了样区中每个样本的精确位置。通过广义线性模型，以各种方式分析了这些季节的PDP，寻找其在给定季节中随植物密度以及上一季节的种子和花序密度的空间变化。无症状植物估计占2015年人口的6.1％。年平均PDP在0.08至0.42之间，并且与降水呈正相关。在田地里，可以根据季节重复划分两个区域：一个区域同时出现高植物密度和高PDP，另一个区域值较低，这两个区域中PDP取决于土壤密度。讨论了季节内和季节间相遇率差异所起的作用；随着时间的流逝，与植物和病原体共存时，缺乏遭遇可能是必要的。讨论了季节内和季节间相遇率差异所起的作用；随着时间的流逝，与植物和病原体共存时，缺乏遭遇可能是必要的。讨论了季节内和季节间相遇率差异所起的作用；随着时间的流逝，与植物和病原体共存时，缺乏遭遇可能是必要的。

更新日期：2019-12-16

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