Department of Environmental Sciences and Management, University of Liege, Arlon Campus Environnement, 185 Avenue de Longwy, Arlon, 6700, Belgium,
Environ Sci Pollut Res Int. 2014 Apr;21(7):4809-18. doi: 10.1007/s11356-014-2557-9. Epub 2014 Jan 26.
A decision support system (DSS) involving an approach for predicting wheat leaf rust (WLR) infection and progress based on night weather variables (i.e., air temperature, relative humidity, and rainfall) and a mechanistic model for leaf emergence and development simulation (i.e., PROCULTURE) was tested in order to schedule fungicide time spray for controlling leaf rust progress in wheat fields. Experiments including a single fungicide treatment based upon the DSS along with double and triple treatment were carried out over the 2007-2009 cropping seasons in four representative Luxembourgish wheat field locations. The study showed that the WLR occurrences and severities differed according to the site, cultivar, and year. We also found out that the single fungicide treatment based on the DSS allowed a good protection of the three upper leaves of susceptible cultivars in fields with predominant WLR occurrences. The harvested grain yield was not significantly different from that of the double and triple fungicide-treated plots (P < 0.05). Such results could serve as basis or be coupled to cost-effective and environmentally friendly crop management systems in operational context.
一个决策支持系统（DSS），涉及一种基于夜间气象变量（即空气温度、相对湿度和降雨量）和一种叶片萌发和发育模拟的机制模型（即 PROCULTURE）预测小麦叶锈病（WLR）感染和进展的方法，以安排杀菌剂时间喷雾来控制小麦田中的叶锈病进展。在 2007-2009 年的四个代表性卢森堡小麦田地点，进行了包括基于 DSS 的单一杀菌剂处理以及双重和三重处理的实验。研究表明，WLR 的发生和严重程度因地点、品种和年份而异。我们还发现，基于 DSS 的单一杀菌剂处理允许在以 WLR 为主的发生地区对易感品种的三片上叶进行良好的保护。收获的谷物产量与双重和三重杀菌剂处理的地块没有显著差异（P < 0.05）。这些结果可以作为基础，或与具有成本效益和环保的作物管理系统相结合，在实际操作中使用。
