Wann M, Raper C D
Department of Statistics, North Carolina State University, Raleigh 27650, USA.
Ann Bot. 1984;53:45-52. doi: 10.1093/oxfordjournals.aob.a086669.
A dynamic simulation model to describe vegetative growth of plants, for which some functions and parameter values have been estimated previously by optimization search techniques and numerical experimentation based on data from constant temperature experiments, is validated under conditions of changing temperatures. To test the predictive capacity of the model, dry matter accumulation in the leaves, stems, and roots of tobacco plants (Nicotiana tabacum L.) was measured at 2- or 3-day intervals during a 5-week period when temperatures in controlled-environment rooms were programmed for changes at weekly and daily intervals and in ascending or descending sequences within a range of 14 to 34 degrees C. Simulations of dry matter accumulation and distribution were carried out using the programmed changes for experimental temperatures and compared with the measured values. The agreement between measured and predicted values was close and indicates that the temperature-dependent functional forms derived from constant-temperature experiments are adequate for modelling plant growth responses to conditions of changing temperatures with switching intervals as short as 1 day.
一个用于描述植物营养生长的动态模拟模型,其一些函数和参数值先前已通过优化搜索技术和基于恒温实验数据的数值实验进行了估计,该模型在温度变化的条件下得到了验证。为了测试该模型的预测能力,在5周的时间内,每隔2或3天测量一次烟草植株(Nicotiana tabacum L.)叶片、茎和根中的干物质积累,在此期间,控制环境室内的温度按每周和每天的间隔进行编程变化,并在14至34摄氏度的范围内按升序或降序排列。利用实验温度的编程变化对干物质积累和分配进行了模拟,并与测量值进行了比较。测量值与预测值之间的一致性很高,这表明从恒温实验中得出的温度依赖函数形式足以模拟植物对温度变化条件(切换间隔短至1天)的生长响应。