Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, Largo Paolo Braccini 2, I-10095 Grugliasco, Torino, Italy.
Chestnut R&D Center, Regione Gambarello 23, I-12013 Chiusa di Pesio, Cuneo, Italy.
Phytopathology. 2020 Jul;110(7):1280-1293. doi: 10.1094/PHYTO-01-20-0006-R. Epub 2020 May 20.
This study combined phytosanitary surveys, laboratory analyses, and mathematical modeling to show how hail-induced wounds can foster the infections of the blight pathogen , locally associated with extensive dieback of chestnut (). Orchards and coppices located within and outside the assessed dieback area in a single location in the North West of Italy were inspected to appraise the abundance of hail-induced wounds and infections. The incidence of was significantly higher within the dieback area compared with outside (92% versus 60%; < 0.05). Hail-induced wounds were observed on small branches and shoots of all trees sampled within the dieback area, whereas they were less abundant outside (20% of trees), suggesting either that the dieback was directly associated with the injuries caused by the hailstorms or that those injuries may have facilitated infections of . Isolations conducted on 359 branches and shoots showed that hail-induced wounds served as infection courts for and that infections depended on the size rather than on the number of hail wounds. We fitted a logistic model showing that hail-induced wounds whose perimeter was larger than 66 mm were at particular risk of infection. A newly designed geometrical-based model is proposed to relate hailstones size, hail wound perimeter, and the risk of infection. We established that hail-induced wounds are entry points for virulent and hypovirulent strains of , since 6.5% of isolates were infected by Cryphonectria hypovirus-1.
本研究结合植物检疫调查、实验室分析和数学建模,展示了冰雹引起的伤口如何助长疫病病原菌的感染,疫病病原菌与意大利西北部一个地点的栗树()严重衰退有局部关联。对意大利西北部一个地点的评估衰退区内和区外的果园和萌生林进行了检查,以评估冰雹诱导伤口和感染的丰度。与区外相比,区内的感染发生率显著更高(92%对 60%;<0.05)。在衰退区内,所有采样树木的小树枝和嫩枝上都观察到了冰雹诱导的伤口,而在区外则较少(20%的树木),这表明衰退要么直接与风暴造成的伤害有关,要么这些伤害可能有助于的感染。对 359 个树枝和嫩枝进行的分离表明,冰雹诱导的伤口是病菌感染的法庭,感染取决于伤口的周长而不是数量。我们拟合了一个逻辑模型,表明周长大于 66 毫米的冰雹诱导伤口特别容易感染。提出了一种新的基于几何的模型来关联冰雹大小、冰雹伤口周长和感染风险。我们确定冰雹诱导的伤口是毒力和弱毒菌株的进入点,因为 6.5%的分离物被 Cryphonectria hypovirus-1 感染。