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首页> 外文期刊>Weed Research >Modelling interactive effects of herbicide application timing and dose for the control of Bromus japonicus in wheat in an arid environment
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Modelling interactive effects of herbicide application timing and dose for the control of Bromus japonicus in wheat in an arid environment

机译:模拟干旱环境中小麦除草剂施用时间和剂量的交互作用

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摘要

Timely herbicide application is a key factor in herbicide efficiency that may provide some possibility of reducing herbicide dose. Field experiments were conducted to study the interactive effect of dose of the herbicide mesosulfuron-methyl and application timing on the control of Bromus japonicas in wheat. Herbicide application timings were based on Zadoks growth stages of wheat. An empirical model was developed for deciding herbicide dose. Relationships between herbicide dose and weed biomass were described with the standard dose-response model at each application time. Parameter estimates suggested a linear increase in parameters W-0 (weed biomass with no herbicide treatment) and ED50 (herbicide dose required for 50% reduction in W-0) with thermal time. A combined dose-response (CDR) model, with W-0 and ED50 being replaced by their linear relationships with thermal time, was used for weed biomass prediction. CDR was incorporated into the rectangular hyperbolic relationship to predict wheat yield with different herbicide doses and application timings simultaneously. The combined model was rearranged to give the minimum dose required to restrict weed competition and achieve an acceptable wheat yield. For example, to obtain a wheat grain yield of 4.4kgh(-1) (90% of the potential yield), the model suggests 75% of the recommended dose, if herbicide is applied prior to tillering. With delayed herbicide application to wheat jointing, the respective amount of wheat yield is achieved with herbicide rates higher than the recommended dose. The model developed in this study can be used to decide herbicide dose for controlling B.japonicus based on application timing.
机译:及时施用除草剂是提高除草剂效率的关键因素,可以为减少除草剂剂量提供一定的可能性。进行了田间试验,研究了除草剂甲基磺隆磺隆的剂量和施用时间对小麦中日本布鲁莫氏菌防治的相互作用。除草剂的施用时间基于小麦的Zadoks生长阶段。建立了决定除草剂剂量的经验模型。在每个施用时间用标准剂量反应模型描述除草剂剂量与杂草生物量之间的关系。参数估计表明参数W-0(未经除草剂处理的杂草生物量)和ED50(W-0降低50%所需的除草剂剂量)随热时间线性增加。 W-0和ED50被与热时间的线性关系所取代的组合剂量响应(CDR)模型用于预测杂草生物量。 CDR被并入矩形双曲线关系中,以同时预测不同除草剂剂量和施用时间的小麦产量。重新组合了组合模型,以提供限制杂草竞争并实现可接受的小麦产量所需的最小剂量。例如,要获得4.4kgh(-1)的小麦籽粒产量(潜在产量的90%),该模型建议,如果在分prior前施用除草剂,则建议剂量为推荐剂量的75%。如果将除草剂延迟施用到小麦拔节中,则除草剂的使用率要高于推荐剂量,从而达到小麦各自的产量。本研究开发的模型可用于根据施用时机确定除草剂剂量,以控制日本血吸虫。

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