水分对日光温室独本菊外观品质影响的模拟

    Simulation of the effects of water on external quality of standard cut chrysanthemum in solar greenhouse

    • 摘要: 水分是影响菊花生长发育和外观品质的重要因子。为定量研究水分对日光温室独本菊外观品质(株高、茎粗、叶片数、花头直径、花颈长)的影响,该研究以秋菊品种“神马”(Chrysanthemum morifolium ‘Jinba’)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,以生理辐热积为预测指标,定量分析了基质水势对独本菊株高、茎粗、叶片数、花头直径和花颈长的动态的影响,建立了基质水势对独本菊株高、茎粗、叶片数、花头直径和花颈长影响的模拟模型,并用与建立模型相独立的数据对模型进行检验。结果表明,模型对日光温室独本菊各外观品质指标预测结果较好,株高、茎粗、单株叶片数、花头直径和花颈长的模拟值与实测值之间基于1︰1线的决定系数分别为0.98、0.93、0.98、0.93、0.86,相对预测误差(RSE)分别为8.79%、5.66%、8.45%、12.2%、12.9%。该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: Water is the important factor affecting the growth and external quality of chrysanthemum. The aim of this study was to quantitatively investigate the effects of water on the external quality indices (plant height, stem diameter, leaf number, diameter of flower head, length of flower neck) 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 physiological product of thermal effectiveness and PAR(PTEP) was used to describe the seasonal change of the external quality indices. Effects of substrate water potential on the dynamics of plant height, stem diameter, leaf number, diameter of flower head, length of flower neck were quantified based on the experimental data. These quantitative relationships were then integrated into a model to predict the effects of substrate water potential on the external quality indices 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 measured values of plant height, stem diameter, leaf number, diameter of flower head, length of flower neck based on the 1:1 line were 0.98, 0.93, 0.98, 0.93, 0.86, respectively, and the relative prediction error (RE) between the simulated and measured values were 8.79%, 5.66%, 8.45%, 12.2%, 12.9%, respectively, for plant height, stem diameter, leaf number, diameter of flower head and length of flower neck. The model developed in this study gives satisfactory predictions of the external quality indices of the standard cut chrysanthemum, hence, it can be used for optimizing water management for standard cut chrysanthemum production in solar greenhouses.

       

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