INRAE, Bordeaux Sciences Agro, Unité Mixte de Recherche SAVE, Villenave d'Ornon F-33882, France.
INRAE, Université de Bordeaux, Unité Mixte de Recherche BFP, Villenave d'Ornon F-33882, France.
Phytopathology. 2022 Aug;112(8):1686-1697. doi: 10.1094/PHYTO-10-21-0449-R. Epub 2022 Jul 12.
Flavescence dorée (FD) is a quarantine disease threatening European vineyards. Its management is based on mandatory insecticide treatments and the uprooting of infected plants identified during annual surveys. Field surveys are currently not optimized because the drivers affecting FD spread in vineyard landscapes remain poorly understood. We collated a georeferenced dataset of FD detection, collected from 34,581 vineyard plots over 5 years in the South West France wine region. Spatial models fitted with integrated nested Laplace approximation were used to identify local and landscape factors affecting FD detection and infection. Our analysis highlights the importance of sampling period on FD detection and of local practices and landscape context on FD infection. At field scale, altitude and cultivar choice were the main factors affecting FD infection. In particular, the odds ratio of FD infection in fields planted with the susceptible Cabernet Sauvignon, Cabernet Franc, or Muscadelle varieties were approximately twice those in fields planted with the less susceptible Merlot. Field infection was also affected by the field's immediate surroundings (within a circle with a radius of 150 to 200 m), corresponding to landscapes of 7 to 12 ha. In particular, the probability of FD infection increased with the proportions of forest and urban land and with the proportion of susceptible cultivars, demonstrating that the cultivar composition impacts FD epidemiology at landscape scale. The satisfactory predictive performance of the model for identifying districts with a prevalence of FD detection >10% of the fields suggests that it could be used to target areas in which future surveys would be most valuable.
黄萎病(FD)是一种威胁欧洲葡萄园的检疫性疾病。其管理基于强制性的杀虫剂处理和每年调查中发现的受感染植物的根除。目前,田间调查尚未得到优化,因为影响葡萄园景观中 FD 传播的驱动因素仍了解甚少。我们整理了一个黄萎病检测的地理参考数据集,该数据集是在法国西南部葡萄酒产区的 34581 个葡萄园地块上收集的,历时 5 年。使用带有集成嵌套 Laplace 近似的空间模型来识别影响 FD 检测和感染的局部和景观因素。我们的分析强调了采样期对 FD 检测以及当地做法和景观背景对 FD 感染的重要性。在田间尺度上,海拔和品种选择是影响 FD 感染的主要因素。特别是,种植易感品种赤霞珠、品丽珠或麝香葡萄的田间 FD 感染的优势比约为种植较不易感品种梅洛的田间的两倍。田间感染还受到田间周围环境(半径为 150 至 200 米的圆内)的影响,对应于 7 至 12 公顷的景观。特别是,随着森林和城市土地的比例以及易感品种的比例增加,FD 感染的可能性增加,这表明品种组成对景观尺度上的 FD 流行病学有影响。该模型在识别 FD 检测流行率超过 10%的地区方面具有令人满意的预测性能,这表明它可用于确定未来调查最有价值的地区。