化感作用的数学建模。3曲线拟合化感化学剂量反应模型。

De Li Liu, Min An, Ian R Johnson, John V Lovett
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引用次数: 73

摘要

生物测定技术常用于研究化感物质对植物过程的影响,通常观察到,在低化感物质浓度下,植物过程受到刺激,随着浓度的增加而受到抑制。提出了一个简单的经验模型来分析这类响应。化感剂量反应的刺激抑制特性可以用模型中的参数来描述。计算化感效应的指标p%消减率。利用该模型与实验数据比较了莴苣幼苗生长对半Centaurepensin的反应、象鼻虫幼虫对-松油醇的嗅觉反应、一年生黑麦草(Lolium multiflorum Lam.)、匍匐红羊茅(Festuca rubra L., cv.)的反应。肯塔基蓝草(Poa pratensis L., cv.);Kenblue),多年生黑麦草(L. perenne L., cv.;叛逆高羊茅和肯塔基31高羊茅浸出液对幼苗生长的影响。结果表明,该模型能很好地描述观测值,可用于拟合大范围的剂量响应。通过对Rebel和Kentucky 31高羊茅渗滤液的评价,可以明显区分化感源的特性和根、叶长度等指标的相对敏感性。
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Mathematical Modeling of Allelopathy. III. A Model for Curve-Fitting Allelochemical Dose Responses.

Bioassay techniques are often used to study the effects of allelochemicals on plant processes, and it is generally observed that the processes are stimulated at low allelochemical concentrations and inhibited as the concentrations increase. A simple empirical model is presented to analyze this type of response. The stimulation-inhibition properties of allelochemical-dose responses can be described by the parameters in the model. The indices, p% reductions, are calculated to assess the allelochemical effects. The model is compared with experimental data for the response of lettuce seedling growth to Centaurepensin, the olfactory response of weevil larvae to alpha-terpineol, and the responses of annual ryegrass (Lolium multiflorum Lam.), creeping red fescue (Festuca rubra L., cv. Ensylva), Kentucky bluegrass (Poa pratensis L., cv. Kenblue), perennial ryegrass (L. perenne L., cv. Manhattan), and Rebel tall fescue (F. arundinacea Schreb) seedling growth to leachates of Rebel and Kentucky 31 tall fescue. The results show that the model gives a good description to observations and can be used to fit a wide range of dose responses. Assessments of the effects of leachates of Rebel and Kentucky 31 tall fescue clearly differentiate the properties of the allelopathic sources and the relative sensitivities of indicators such as the length of root and leaf.

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Mathematical modelling of dose-response relationship (hormesis) in allelopathy and its application. Whole-range assessment: a simple method for analysing allelopathic dose-response data. Mathematical Modelling of Allelopathy: IV. Assessment of Contributions of Competition and Allelopathy to Interference by Barley. Modeling the effect of density-dependent chemical interference upon seed germination. Implementation of card: curve-fitting allelochemical response data.
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