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Influence of berry ripening on susceptibility to Coniella diplodiella infection in grapevine

文献类型： 外文期刊

作者： Ji, Tao 1 ; Luca, Languasco 2 ; Salotti, Irene 2 ; Li, Ming 3 ; Rossi, Vittorio 2 ;

作者机构： 1.Shihezi Univ, Dept Hort, Key Lab Special Fruits & Vegetables Cultivat Phys, Agr Coll, Shihezi, Peoples R China

2.Univ Cattolica Sacro Cuore, Dept Sustainable Crop Prod DIPROVES, Piacenza, Italy

3.Beijing Acad Agr & Forestry Sci, Natl Engn Res Ctr Informat Technol Agr NERCITA, Informat Technol Res Ctr, Beijing, Peoples R China

4.Univ Cattolica Sacro Cuore, Dept Sustainable Crop Prod DIPROVES, Via E Parmense 84, I-29122 Piacenza, Italy

关键词： berry growth stage; conidial germination; disease incidence; mycelial growth; Vitis vinifera; white rot

期刊名称：PLANT PATHOLOGY （ 影响因子：2.7； 五年影响因子：2.8 ）

ISSN： 0032-0862

年卷期： 2024 年 73 卷 5 期

页码：

收录情况： SCI

摘要： White rot, caused by the fungus Coniella diplodiella, is an important but poorly studied disease that mainly affects grapevine clusters. White rot control typically involves the repeated application of fungicides, which may be unjustified in some cases given that the key period of berry susceptibility to infection remains unclear and controversial. In this study, germination of C. diplodiella conidia and mycelium growth were investigated on water agar (conidial germination only) and artificial media similar to berry juice at five growth stages from pea-sized to berries ripe for harvest. On water agar, conidia germinated from 10 degrees C to 35 degrees C (with an optimum of 20-30 degrees C) with >2 h of moisture incubation. Both conidial germination and mycelial growth were higher on agar similar to berry juice at v & eacute;raison to berry softening than at other stages, with the lowest values detected for the ripe berries. The berries were also artificially inoculated with conidia at the different growth stages, showing that grape clusters were susceptible to infection for a long period, albeit with varying degrees of susceptibility at different stages. This implies that effective disease control requires interventions from early berry development, whenever weather conditions are conducive to infection. Further development of a predictive model accounting for weather conditions and berry susceptibility dynamics would facilitate the dynamic estimation of the disease risk during the grapevine-growing season and contribute to a risk-based application of fungicides for white rot control.

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