中国农业气象 ›› 2011, Vol. 32 ›› Issue (04): 588-592.doi: 10.3969/j.issn.1000-6362.2011.04.018

• 论文 • 上一篇    下一篇

光合作用模型在长江下游冬麦区的适用性研究

李永秀,杨再强,张富存   

  1. 南京信息工程大学江苏省农业气象重点实验室/南京信息工程大学应用气象学院,南京 210044
  • 出版日期:2011-11-20 发布日期:2011-11-23

Applicability of Different Photosynthesis Models for Winter Wheat in the
Lower Yangtze River

LI Yongxiu,YANG Zaiqiang,ZHANG Fucun   

  1. Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology/College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044,China
  • Online:2011-11-20 Published:2011-11-23
  • Supported by:

    国家自然科学基金(41075087)

摘要: 以直角双曲线、非直角双曲线、渐进指数及修正直角双曲线等4种光响应模型为基础,结合CO2浓度和温度变化对冬小麦光合作用的影响,推导出4种植物叶片光合作用模型。分别利用长江下游冬麦区2个主栽冬小麦品种的田间试验资料,确定模型参数并对模型预测效果进行检验。结果表明,修正直角双曲线模型的预测效果最好,预测值与实测值相关系数(r)为0.925,均方根误差(RMSE)为1.666μmol·m-2·s-1。修正直角双曲线模型考虑了光抑制问题,从而能够更好地预测高光强情况下的冬小麦光合速率,因而最适于长江下游地区冬小麦光合作用的模拟。研究结果可为选择最佳的光合作用模型进行冬小麦生长模拟及产量预测提供参考。

关键词: 冬小麦, 光合模型, 长江下游, 光响应, CO2浓度, 温度, 适用性

Abstract: Based on four popular light response models of photosynthesis, i.e., the rectangular and non rectangular hyperbola models, exponential model and modified rectangular hyperbola model, we derived four comprehensive photosynthesis models for winter wheat including the impact of temperature and CO2concentration. Two independent experimental datasets were respectively used for parameter optimization and model validation. The results showed that the modified rectangular hyperbola model gave the best prediction in the four models, with the correlation coefficient (r) and root mean squared error (RMSE) between predicted and observed net photosynthetic rate being 0.925 and 1.666μmol·m-2·s-1, respectively. Due to inclusion of photoinhibition, the modified rectangular hyperbola model performed well under high light, therefore was most suitable for winter wheat in the lower Yangtze river. The results of this study were expected to provide references for model selection and application in winter wheat growth simulation and yield prediction. 

Key words:  Winter wheat, Photosynthesis model, Lower Yangtze river, Light response, CO2 , concentration, Temperature, Applicability