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A model of the effect of fungicides on disease-induced yield loss, for use in wheat disease management decision support systems

机译:杀菌剂对疾病引起的产量损失的影响模型,用于小麦疾病管理决策支持系统

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摘要

A model of the effect of foliar-applied fungicides on disease-induced yield loss is described, parameterised and tested. The effects of fungicides on epidemics of Septoria tritici (leaf blotch), Puccinia striiformis (yellow rust), Blumeria graminis f.sp. tritici (powdery mildew) and Puccinia triticina (brown rust) on winter wheat were simulated using dose-response curve parameters. Where two or more active substances were applied together, their joint action was estimated using an additive dose model where the active substances had the same mode of action or a multiplicative survival model where the modes of action differed. By coupling the model with models of wheat canopy growth and foliar disease published previously, it was possible to estimate disease-induced yield loss for a prescribed fungicide programme. The difference in green canopy area and, hence, interception of photosynthetically active radiation between simulated undiseased and diseased (but treated) crop canopies was used to estimate yield loss. The model was tested against data front field experiments across a range of sites, seasons and wheat cultivars and was shown to predict the observed disease-induced yield loss with sufficient accuracy to support fungicide treatment decisions. A simple method Of accounting for uncertainty in the predictions of yield loss is described. Fungicide product, dose and spray timing combinations selected using the coupled models responded appropriately to disease pressure and cultivar disease resistance.
机译:描述,参数化和测试了叶面施用的杀菌剂对疾病引起的产量损失的影响模型。杀菌剂对小麦黑斑病(Septoria tritici)(叶斑),条锈菌(Puccinia striiformis)(黄锈病),Blumeria graminis f.sp.使用剂量反应曲线参数模拟了冬小麦的小麦黑粉病和小麦锈病(褐锈病)。如果将两种或多种活性物质一起使用,则使用加法剂量模型(其中活性物质具有相同的作用方式)或乘积生存模型(其中作用方式不同)来评估它们的联合作用。通过将该模型与先前发布的小麦冠层生长和叶面疾病模型相结合,可以针对处方的杀菌剂程序估算疾病引起的产量损失。绿化冠层面积的差异以及模拟的未患病和患病(但经过处理)作物冠层之间光合有效辐射的截留被用来估算产量损失。该模型针对各种地点,季节和小麦品种的数据前场实验进行了测试,结果表明该模型能够以足够的准确性预测观察到的疾病引起的产量损失,以支持杀真菌剂治疗的决策。描述了一种在产量损失预测中考虑不确定性的简单方法。使用耦合模型选择的杀菌剂产品,剂量和喷洒时间组合对疾病压力和品种抗病性具有适当的响应。

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