Mathematical Modelling of Allelopathy: IV. Assessment of Contributions of Competition and Allelopathy to Interference by Barley.

De Li Liu, Min An, I R Johnson, J V Lovett
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引用次数: 7

Abstract

One of the main challenges to the research on allelopathy is technically the separation of allelopathic effect from competition, and quantitatively, the assessment of the contribution of each component to overall interference. A simple mathematical model is proposed to calculate the contribution of allelopathy and competition to interference. As an example of applying the quantitative model to interference by barley (Hordeum vulgare cv. Triumph), the approach used was an addition of allelopathic effect, by an equivalent amount, to the environment of the test plant (white mustard, Sinapis alba), rather than elimination of competition. Experiments were conducted in glasshouse to determine the magnitude of the contributions of allelopathy and competition to interference by barley. The leachates of living barley roots significantly reduced the total dry weight of white mustard. The model involved the calculation of adjusted densities to an equivalent basis for modelling the contribution of allelopathy and competition to total interference. The results showed that allelopathy contributed 40%, 37% and 43% to interference by barley at 6, 12 and 18 white mustard pot(-1). The consistency in magnitude of the calculated contribution of allelopathic effect by barley across various densities of receiver plant suggested that the adjusted equivalent density is effective and that the model is able to assess the contribution of each component of interference regardless of the density of receiver plant.

化感作用的数学模型:第四章。大麦的竞争和化感作用对干扰的贡献评估。
化感作用研究的主要挑战之一是在技术上将化感作用与竞争分离开来,并在数量上评估每种成分对总体干扰的贡献。提出了一个简单的数学模型来计算化感作用和竞争对干扰的贡献。以大麦(Hordeum vulgare cv.)为例,应用定量模型研究大麦的干扰。采用的方法是在测试植物(白芥菜,Sinapis alba)的环境中添加等量的化感作用,而不是消除竞争。通过温室试验确定化感作用和竞争对大麦干扰的贡献大小。大麦活根浸出液显著降低了白芥菜的总干重。该模型包括计算调整后的密度,以建立化感作用和竞争对总干扰的贡献的等效基础。结果表明,化感作用对6、12、18个白芥菜罐大麦干扰的贡献率分别为40%、37%和43%(-1)。大麦化感效应的计算贡献值在不同接收植物密度下的一致性表明,调整后的等效密度是有效的,并且该模型能够评估每个干扰分量的贡献,而不考虑接收植物密度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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