Temporal Dynamics and Dispersal Patterns of the Primary Inoculum of Coniella diplodiella, the Causal Agent of Grape White Rot

文献类型： 外文期刊

第一作者： Ji, Tao

作者： Ji, Tao;Ji, Tao;Languasco, Luca;Salotti, Irene;Rossi, Vittorio;Li, Ming

作者机构：

关键词： Bayesian analysis; conidial dispersal; mathematical equations; primary inoculum; production dynamics

期刊名称：PLANT DISEASE （ 影响因子：4.5； 五年影响因子：5.0 ）

ISSN： 0191-2917

年卷期： 2024 年 108 卷 3 期

页码：

收录情况： SCI

摘要： Grape white rot can cause considerable yield losses in viticulture areas worldwide and is principally caused by Coniella diplodiella. The fungus overwinters in berry mummies on the soil surface or on the trellis and produces pycnidia and conidia that serve as primary inoculum. However, little is known about the temporal dynamics and dispersal pattern of C. diplodiella conidia. In this study, we investigated the production and dispersal of C. diplodiella conidia from a primary inoculum source, namely, affected mummified berries that overwintered in two vineyards in northern Italy in 2021 and 2022. Conidia of C. diplodiella were repeatedly produced in berry mummies from the budburst of vines to harvesting, with approximately 50 and 75% of the total conidia in a season being produced before fruit set and v & eacute;raison, respectively. The production dynamics of C. diplodiella conidia over time were described by a Weibull equation in which the thermal time is the independent variable, with a concordance correlation coefficient of >= 0.964. A rainfall cutoff of >= 0.2 mm provided an overall accuracy of >= 0.86 in predicting conidial dispersal through rain splashes from berry mummies on the soil surface, with the number of dispersed conidia increasing with the amount of rainfall. The dispersal of conidia from mummies on the trellis by washing with rain required at least 6.1 mm of rain. The proposed mathematical equations and rain cutoffs can be used to predict periods with a high dispersal risk of C. diplodiella.

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