欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报

• 研究报告 • 上一篇    下一篇

基于生理发育时间的加工番茄生育期模拟模型

王冀川1,2;马富裕1;冯胜利1;陈远良3;何为4;庞胜群1   

  1. 1石河子大学农学院/新疆生产建设兵团绿洲生态农业重点实验室, 新疆石河子 832003;2塔里木大学植物科技学院, 新疆阿拉尔 843300;3石河子蔬菜研究所, 新疆石河子 832003;4新疆生产建设兵团农二师223团, 新疆和静 841300
  • 收稿日期:2007-11-02 修回日期:1900-01-01 出版日期:2008-07-20 发布日期:2008-07-20

Simulation model for the development stages of processing tomato based on physiological development time.

WANG Ji-chuan1,2;MA Fu-yu1;FENG Sheng-li1;CHEN Yuan-liang3;HE-Wei4;PANG Sheng-qun1   

  1. 1Key Laboratory of Oasis Ecology Agriculture/ Xinjiang Production and Construction Crops, College of Agronomy, Shihezi University, Shihezi 832003, Xinjiang, China;2College of Plant Science and Technology, Tarim University, Alar 843300, Xinjiang, China;3Institute of Vegetable Scie
    nce, Shihezi 832003, Xinjiang, China;4No.223 Farm of the Second Agricult
    ure Division, Xinjiang Production and Construction Crops, Hejing 841300, Xinjiang, China
  • Received:2007-11-02 Revised:1900-01-01 Online:2008-07-20 Published:2008-07-20

摘要: 综合考虑温度和光照对加工番茄生理发育效应的影响,引入了品种基本发育因子(IDF),通过分析不同类型加工番茄的生育期与环境因素的动态关系,建立了基于生理发育时间(PDTv)的加工番茄生育期模拟模型,并利用不同年份、生态区、品种、种植方式的试验资料对模型进行了检验.结果表明:所建模型对加工番茄从播种到各个发育阶段(出苗、开花、坐果、红熟和拉秧)天数的模拟值与观测值的回归估计标准误差(RMSE)分别为1.09、2.03、2.05、2.77和2.53 d,该模型的预测精度明显高于基于有效积温的发育模型(其RMSE分别为1.90、6.63、6.33、9.36 和6.84 d).

关键词: 稻草还田方式, 双季稻, 产量, 碳素形态, 碳库管理指数

Abstract: After the comprehensive consideration of the effects of temperature and light on the development physiology of processing tomato, the intrinsic development factor (IDF) was introduced, and, through the analysis of the dynamic relationships between the development stages of different type processing tomato and related environmental factors, the simulation model for the development stages of processing tomato was constructed, based on the concept of physiological development time (PDTv). Different years’ experimental data about ecological zones, varieties, and planting modes were used to validate the model. The simulated results about the number of days from sowing to seedling emergence, flowering, fruitsetting, maturing, and ending accorded well with the observed ones, the root mean squared error (RMSE) being 1.09, 2.03, 2.05, 2.77 and 2.53 days, respectively, and the prediction accuracy of this model was significantly higher than that of the growth degree day (GDD)based model, with the corresponding RMSE being 1.90, 6.63, 6.33, 9.36 and 6.84 days, respectively.

Key words: rice straw returning mode, double cropping rice, yield, carbon form, carbon pool management index.