【摘要】 油菜(Brassica napus L.)具有复杂的分枝结构,其分枝为向顶式发生(出现)、向基式扩展,这种独特的生长模式使得油菜个体植株间的构型存在很大的差异.本研究利用与位置有关的生长延迟函数,计算各分枝从发生到扩展的时间间隔,来模拟油菜分枝这种独特的生长模式.此外,利用随机概率模型来模拟油菜植株间分枝数、主干和分枝的叶元数等.通过实际测量的四个油菜品种(ZY18, ZY50, ZS72和ZS11)的数据,采用最小二乘法对该模型的参数进行校准.结果表明,该随机模型能够模拟油菜植株拓扑结构,并根据参数估计的结果分析不同品种的拓扑结构差异性.本研究提出了新的简化方法模拟油菜分枝的生长模式,该模型可与油菜生长模型相结合,从而模拟油菜的动态生长过程.更多还原

【Abstract】 The structure of oilseed rape is complex due to the development patterns of inflorescence: initiate acropetally but expand basipetally.This unique physiological characteristic makes a big difference in the morphological structure of individual plants in oilseed rape.The time lag between the appearance and elongation of a branch, called "growth delay", needs to be quantified in order to simulate the developmental pattern of oilseed rape. This study computes the time interval between the appearance and expansion of branches by using a growth delay function. Moreover, a stochastic probabilistic model is built to simulate the differences of the numbers of branches, phytomers of the stems and branches within and among plants for four cultivars. Furthermore, model parameters can be estimated using the experimental measurements for four cultivars(ZY18, ZY50, ZS72 and ZS11) with the generalized least square method. The results indicate that the differences of structure among individual plants for different cultivars can be simulated using the stochastic model. This work provides a new and simple method to describe the differences of structure among plants using a stochastic model. This method can simulate the branch development of oilseed rape, which can be combined to a functional-structural model to simulate the growth and development of oilseed rape.更多还原