根据1992—1994 年的田间实际观测资料，提出用Logistic方程求算小麦累积光合量的方法，它不但具有明确的生物学意义和生态学意义，而且计算极其简便，结果较为精确，不失为一种简单、实用又准确的计算小麦累积光合量的好方法。

The stratospheric ozone depletion and enhanced solar ultraviolet-B (UV-B) irradiance may have adverse impacts on the productivity of agricultural crops. The effect of UV-B enhancements on agricultural crops includes reduction in yield, alteration in species competition, decrease in photosynthetic activity, susceptibility to disease, and changes in structure and pigmentation. Many studies have examined the influence of supplemental UV-B irradiance on different crops, but the effect of UV-B irradiance on cotton (Gossypium hirsutum L.) crops has received little attention. Cotton is one of the most versatile of all the crops. It is a major fiber crop of the world and a major source of trade and economy in many countries. In this study, we provide quantitative examination of the effects of elevated UV-B irradiance on cotton plant (Sukang 103). The tested cotton crop was grown under natural and four regimes of supplemental UV-B irradiance in the field. With UV-B irradiance increased 9.5% throughout the growing season, the negative impacts on cotton growth included reductions in height of 14%, in leaf area of 29%, and in total biomass of 34%. Fiber quality was reduced and economic yield dropped 72%; an economic coefficient was reduced 58%. A brief discussion is included on how the impacts on cotton contrast with impacts that have been observed in other studies on other plants, including trees.

Currently available models of photosynthate partitioning in crops are poorly developed compared to carbon and water balance models. This paper presents a dynamic photosynthate partitioning model (PPModel) that simulates the partitioning of crop biomass to leaf, stem and root through the interaction between carbon gain (assimilation less respiration) and transpiration, in relation to environmental factors. The central concept is the theory of plant functional equilibrium, in which transpirational loss and water uptake are balanced, within acceptable limits, by a dynamic partitioning of assimilates between shoot and root growth. The model was shown to perform effectively against experimental data for growth and partitioning of biomass in winter wheat (collected over a 2-year period), when environmental factors varied daily and water supply was controlled over a wide range.

在小麦生长发育的数值模拟研究的基础上，将小麦生育期划分为4个阶段，分别制定了数学模型和子程序，确定模型的参数，模拟出每一阶段的生育期天数，并且就每一阶段的温光条件对生育期各阶段的影响给出了分析与决策。该系统对了解小麦生长发育与气象条件的定量关系，对不同发育期小麦采取有效的措施具有参考意义，也是计算机应用于小麦生产的一种尝试。系统采用中文菜单操作，界面友好，可人机交互。结构化、模块化技术使系统具有易于修改、扩充的特点。

对江苏省南京地区春大豆的生产潜力进行估算，并分析了未来气候条件下，大豆生产潜力的变化情况。除了考虑温度、降水、CO2等影响因子之外，还考虑了未来地表紫外线（Ultraviolet简称UV）辐射增加对大豆的影响。研究结果表明：在未来气候条件下，江苏省南京地区春大豆的气候生产潜力呈下降趋势。