水分对日光温室独本菊生长动态影响的模拟

    Quantifying the effects of water on growth dynamics of standard cut chrysanthemum in solar greenhouse

    • 摘要: 光合作用与干物质生产是观赏植物外观品质形成的基础。水分是影响植物光合作用与干物质生产的重要因子。为定量研究水分对日光温室独本菊光合作用与干物质生产的影响,本研究以秋菊品种‘神马’(Chrysanthemum morifolium. L ‘Shenma’)为试验材料,于2006年8月~2007年6月在北京日光温室内进行了不同定植期和不同水分处理的栽培试验,以生理辐热积为发育尺度,定量分析了基质水势对独本菊叶面积指数、光合速率和干物质生产动态的影响,建立了基质水势对独本菊叶面积指数、光合速率和干物质生产影响的模拟模型,并用与建立模型相独立的数据对模型进行了检验。结果表明,模型对日光温室独本菊叶面积指数、叶片最大总光合速率和植株总干重的预测结果较好,叶面积指数、叶片最大总光合速率和植株总干重的模拟值与实测值之间基于1︰1线的决定系数分别为0.94,0.90,0.94,相对预测误差分别为11.95%、3.13%、11.14%。本研究建立的模型可以为日光温室秋菊品种‘神马’的水分管理提供理论依据和决策支持。

       

      Abstract: Photosynthesis and dry matter production are essential for guaranteeing the external quality of ornamental plants. Water is the important factor affecting plant photosynthesis and dry matter production. The aim of this study was to quantitatively investigate the effects of water on photosynthesis and dry matter production of standard cut chrysanthemum grown in a solar greenhouse. Experiments of standard cut chrysanthemum (Chrysanthemum morifolium. ‘Shenma’) with different planting dates and different levels of water treatment were conducted in a solar greenhouse in Beijing from August 2006 to June 2007. The integrated photo-thermal index, the product of thermal effectiveness, PAR and day length (PTEP), was used to describe the seasonal change of the canopy leaf area index. Effects of substrate water potential on the dynamics of leaf photosynthesis rate and the canopy leaf area index were quantified based on the experimental data. These quantitative relationships were then integrated into a photosynthetically driven dry matter production model to predict the effects of substrate water potential on dry matter production of standard cut chrysanthemum in solar greenhouse. Independent experimental data were used to validate the model. The results showed that the coefficient of determination (R2) between the simulated and the measured values of canopy leaf area index, the maximal leaf gross photosynthesis rate and the dry matter production based on the 1:1 line were 0.94, 0.90, 0.94, respectively; and the relative prediction errors (RE) between the simulated and the measured values were 11.95%, 3.13%, 11.14%, respectively, for the canopy leaf area index, the maximal leaf gross photosynthesis rate and the dry matter production. The model developed in this study gives satisfactory predictions of the canopy leaf area index, the maximal leaf gross photosynthesis rate and the dry matter production of the standard cut chrysanthemum, hence, can be used for optimizing water management for standard cut chrysanthemum production in solar greenhouses.

       

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