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A biological framework for developing a weed management support system for weed control in winter wheat: weed competition and time of weed control

机译:冬小麦杂草控制发展杂草管理支持系统的生物框架:杂草竞争和杂草控制的时间

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There is a need to target weed control practices more precisely, both for economic and environmental reasons. The development of a Weed Management Support System for winter wheat provides a tool for the effective transfer of optimum advice on herbicides and weed control to farmers and their advisors. The proposed system defines the need for weed control and then selects the treatments to meet that need. In order to define the need for control, potential effects of the weeds on wheat yield and profitability have to be integrated with population dynamics data on the longer-term consequences of leaving weeds untreated. This paper concentrates on the competitive effects of weeds and on the effects of herbicide timing, using data for Stellaria media and Alopecurus myosuroides as examples. It describes key elements of a predictive approach to weed management, including; how to predict yield losses, how to incorporate risk into these estimates, reasons for allocating weeds to a limited number of competition classes and the effects of timing of control on yield loss.
机译:有必要更准确地针对经济和环境原因更准确地说。冬小麦杂草管理支持系统的发展为有效转移了对除草剂和杂草控制的最佳建议,并向农民及其顾问提供了一个工具。所提出的系统定义了对杂草控制的需求,然后选择处理以满足该需求的处理。为了确定对控制的需要,杂草对小麦产量和盈利能力的潜在影响必须与人口动态数据相结合,以便将杂草未经治疗的长期后果。本文专注于杂草的竞争效果和除草剂时序的影响,利用斯蒂利亚培养基和alopecurus myosuroides作为例子的数据。它描述了预测杂草管理方法的关键要素,包括;如何预测产量损失,如何将风险纳入这些估计,将杂草分配给有限数量的竞争课程和对屈服损失控制时机的影响。

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