单株植物生长建模:Viola arvensis 和小麦的竞争

Christoph von Redwitz, Janin Lepke, Otto Richter
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摘要

杂草的竞争对农作物构成严重威胁。如今,在整块田地上喷洒除草剂是常见的做法,但新技术有望通过减少喷洒面积来降低化学品产量。最大精度是单株处理。这种精确度可以实现单株管理,而单株管理需要做出单株管理决策,这远远超出了当前实践的可能性。只有在模型模拟的基础上,才能做出针对具体植物的管理决策。我们开发了一个模拟模型,用于评估空间显式杂草管理对单株植物之间相互作用的影响。管理方程包括作物和杂草植物在空间环境中生长和竞争的耦合非线性微分方程,即为每种植物分配一个坐标。相互影响由竞争强度和范围参数决定。此外,在开发模型的同时,还进行了一项涉及小麦和 Viola arvensis (Murr.) 的实验,其中记录了大量植物(约 600 株)的坐标和生长曲线,以便对模型进行合理的参数化。该模型能够评估各种控制措施,如处理频率和空间分配。特别是,该模型模拟了作物行周围处理区宽度的影响。通过逐株决策,可以协调杂草管理,同时考虑到植物保护的竞争目标:产量和生物多样性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling individual plants’ growth: competition of Viola arvensis and wheat
Competition by weeds is a severe threat to agricultural crops. While these days the broadcast of herbicides over the entire field is common praxis, new technologies promise to reduce chemical output by reducing the area sprayed. The maximum precision would be a single plant treatment. This precision will allow a single plant management, which requires single plant management decisions, which is far beyond the possibilities of current praxis. A plant specific management decision can only be made on the basis of a model simulation.A simulation model was developed to evaluate the effect of spatially explicit weed management covering interaction between single plants. The governing equations consist of coupled nonlinear differential equations for growth and competition of crop and weed plants in a spatial setting i.e. a coordinate is assigned to each plant. The mutual interaction is determined by the parameters strength and range of competition. Furthermore, an experiment was carried out parallel to the development of the model involving wheat and Viola arvensis (Murr.), in which coordinates and growth curves for a large number of plants (~600) were recorded allowing for a reasonable parameterization of the model.The model is able to evaluate spatially explicit management measures such as weed strip control based on the height growth of single plants. The model is capable of evaluating a variety of control measures such as the frequency and spatial allocation of treatments. In particular, the effect of the width of a treatment zone around the rows of the crop was simulated.In future, the developed model could be extended to a decision support system for single plant weed management. Making decisions plant-by-plant, allows to orchestrate the weed management in a way that takes into account competing goals in plant protection: yield and biodiversity.
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