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应用生态学报 ›› 2002, Vol. ›› Issue (9): 1085-1090.

• 研究论文 • 上一篇    下一篇

水分胁迫与光照条件对棉花干物质和产量形成影响的数学模型

刘贤赵1, 康绍忠2, 夏卫生3   

  1. 1. 烟台师范学院地理与旅游系, 烟台 264025;
    2. 西北农林科技大学农业水土工程研究所, 杨凌 712100;
    3. 湖南师范大学国土学院, 长沙 410081
  • 收稿日期:2000-09-25 修回日期:2000-12-08 出版日期:2002-09-15
  • 通讯作者: 刘贤赵,男,1970年生,博士,教授,主要从事土壤物理、农田生态与作物调控方面的研究,发表论文20多篇.E-mail:xianzhaoliu@sina.com
  • 基金资助:
    国家杰出青年基金项目(49725102);西北农林科技大学青年专项基金;烟台师范学院人才引进基金资助项目.

A mathematical model of water stress and light condition effects on cotton dry matter and yield formation

LIU Xianzhao1, KANG Shaozhong2, XIA Weisheng 3   

  1. 1. Department of Geography and Tourism, Yantai Normal College, Yantai 264025;
    2. Institute of Agricultural Soil and Water Engineering, Northwest Science & Technology University of Agricultural Forestry, Yangling 712100;
    3. College of National Land, Hunan Normal University, Changsha 410081
  • Received:2000-09-25 Revised:2000-12-08 Online:2002-09-15

摘要: 从作物冠层净同化速率入手,通过引入对CO2浓度、空气湿度、光照强度和土壤含水量反映较敏感的光能利用系数(β),建立了考虑水分胁迫和光照条件对作物干物质积累与产量形成影响的数学模型.模型考虑了水分胁迫与低光照下冠层阻力增加的设定,将反映作物冠层水分状况的功能叶水势(Ψ1)作为参数纳入本模型.通过对土壤相对含水量(Aw)、气温(Ta)、水汽压差(VPD)的多元回归估算出Ψ1,并将空气动力学阻力(Ra)简化为风速(u)的函数.盆栽试验应用实例和敏感性分析表明,该模型在诊断环境因子特别是土壤水分与光照因子对作物生长和产量构成的影响具有一定的实用性.

关键词: 水分胁迫, 光照条件, 干物质, 产量, 数学模型

Abstract: Amathematical model was developed to analyze the effects of water stress and light condition on crop dry matter accumulation and yield formation based on canopy carbon net assimilation rate. The function leaf water potential (Ψ1) indicating the water status of canopy was incorporated into this model, according to the assumption that the canopy resistance (Rc) was increased under the conditions of water stress and low light density. Ψ1 was estimated by a simplified regression equation,in which,the independent variables were relative soil moisture (Aw),ambient temperature (Ta),and vapor pressure deficit (VPD). The aerodynamic resistance (Ra) in the model was defined as a function of wind speed (u),and the yield was calculated by a linear increase in harvest index (hi) with time. The modeled data agreed well with the data observed from pot experiment. Sensitivity analysis and simulation results suggested that the model could be useful in identifying environment factors,especially soil water content and light density effects on crop growth and yield formation.

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