论文部分内容阅读
为定量研究氮素对日光温室独本菊(Dendranthema morifolium)干物质分配的影响,该研究以独本菊品种‘神马’为试验材料,于2005年10月～2006年7月在北京日光温室内进行了不同定植期和不同氮素水平的栽培试验,以生理辐热积为发育尺度,定量分析了氮素对独本菊品种‘神马’干物质分配指数动态的影响,建立了氮素对日光温室独本菊品种‘神马’干物质分配影响的模拟模型,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,独本菊品种‘神马’叶片累积氮含量最大值出现在现蕾期,现蕾期叶片累积氮含量适宜值为1.62g·m–2。模型对日光温室独本菊品种‘神马’各器官干重预测结果较好,茎、叶和花干重的预测值与实测值之间基于1:1线的决定系数分别为0.94、0.97和0.94,相对预测误差分别为10.3%、5.76%和4.02%。该研究建立的模型可以根据温室内的气温、太阳辐射、日长和现蕾期叶片累积氮含量预测日光温室独本菊品种‘神马’各个器官干重随生育时期的动态变化,从而为日光温室独本菊品种‘神马’生产中氮素的优化管理提供决策支持。
In order to quantitatively study the effect of nitrogen on the dry matter partition of Dendranthema morifolium in greenhouse, the study was conducted on ’Shenma’, a single species of chrysanthemum, from October 2005 to July 2006 in Beijing Sunlight Greenhouse The cultivation experiments were conducted at different planting stages and different nitrogen levels. Physiological radiofrequency product was used as the development scale to quantitatively analyze the effect of nitrogen on the dynamic distribution of dry matter distribution index of ’Shenma’ The simulation model of dry matter distribution of ’Shenma’, a species of sunflower greenhouse, was tested and the model was tested using data independent of the established model. The results showed that the maximum accumulated nitrogen content in ’Shenma’ leaves of Budda germplasm appeared in the budding stage, and the suitable value of cumulative nitrogen content in leaves was 1.62g · m-2 in budding stage. The model predicts the dry weight of each organ of ’Shenma’, a species of sunflower greenhouse, and the coefficient of determination based on the 1: 1 line between the predicted value and the measured value of stem, leaf and flower dry weight are 0.94, 0.97 and 0.94, the relative prediction error was 10.3%, 5.76% and 4.02% respectively. The model established in this study can predict the dry weight of each organ of ’Shenma’, a single species of sun-chrysanthemum, with the variation of growth period according to the temperature in the greenhouse, solar radiation, and accumulated nitrogen content of the leaves during the growing and budding stages, Deciduous greenhouse greenhouse species ’Shenma’ production of nitrogen in the optimal management of decision support.