中国农业气象 ›› 2016, Vol. 37 ›› Issue (04): 422-430.doi: 10.3969/j.issn.1000-6362.2016.04.006

• 论文 • 上一篇    下一篇

ORYZA2000模型与水稻群体茎蘖动态模型的耦合

杨沈斌,陈德,王萌萌,黄维,江晓东   

  1. 南京信息工程大学气象灾害预报预警与评估协同创新中心/江苏省农业气象重点实验室,南京 210044
  • 收稿日期:2015-11-26 出版日期:2016-08-20 发布日期:2016-08-10
  • 作者简介:杨沈斌(1981-),博士,副教授,主要研究方向为应用气象。E-mail:jaasyang@163.com
  • 基金资助:

    国家公益性行业(气象)科研专项(GYHY201306036;GYHY201306035;GYHY201506055);国家“十二五”科技支撑计划项目(2011BAD32B01);江苏高校优势学科建设工程项目(PAPD)

Coupling the Dynamic Tillering Model to Rice Growth Model ORYZA2000 to Simulate Rice Tillering

YANG Shen-bin, CHEN De, WANG Meng-meng, HUANG Wei, JIANG Xiao-dong   

  1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Received:2015-11-26 Online:2016-08-20 Published:2016-08-10

摘要:

以水稻群体茎蘖动态模拟为例,采用单向耦合方法,将ORYZA2000模型模拟的逐日发育进程和生物量作为水稻群体茎蘖动态模型的输入,驱动茎蘖动态模型模拟,尝试将水稻群体茎蘖动态模型引入ORYZA2000模型中,作为该模型的子模块以扩展ORYZA2000模型对茎蘖动态、籽粒灌浆动态和叶龄动态等水稻生长要素模拟的功能。为检验耦合模型(ORY-TIL),选用2012年杂交籼稻两优培九和扬稻6号5个播期的大田观测数据,在两模型参数定标的基础上,模拟2个播期水稻群体茎蘖动态,并对模拟结果进行误差分析。结果显示,ORY-TIL模型能较好模拟水稻发育速率、地上部总生物量和群体茎蘖动态,各项模拟值与实测值的相关系数均达0.95以上,且通过0.01水平显著性检验;扬稻6号和两优培九群体茎蘖密度模拟值与实测值的均方根误差分别为24.3条?m-2和34.9条?m-2,误差主要出现在茎蘖消亡阶段。总体来看,ORY-TIL模型具有较好模拟性能,提出的耦合方法对扩展水稻生长模型具有一定参考价值。

关键词: 作物模型, 杂交水稻, 同化方法, 大田试验

Abstract:

This paper takes the simulation of rice tillering as an example to examine the possibility of extending the functions of ORYZA2000 by coupling rice tillering models. To achieve this, the Dynamic Tillering Model was selected and then coupled with ORYZA2000 using one-way coupling method. With this method, the Dynamic Tillering Model accepts daily outputs from ORYZA2000 without any feedback from the tillering model. Here, ORY-TIL is used to represent the coupled model for easy description. In order to examine the reliability and accuracy of the ORY-TIL model, tillering observations from rice seeding experiments for two rice varieties (i.e. Liangyoupeijiu and Yangdao 6) in 2012 were used. With the data, key parameters in ORY-TIL model were first calibrated, and then the model was used to simulate the rice tillering for the second seeding and the forth seeding experiments for evaluation. The results showed that the coupled model was not only able to simulate rice development, above-ground biomass and yield, but also was able to simulate the dynamic of rice tillering with acceptable accuracy. The correlation coefficients between simulated and measured rice development, above-ground biomass and tillering were all above 0.95, significant at the 0.01 probability level, for both Yangdao 6 and Liangyoupeijiu. Meanwhile, the root mean square error for the simulated tillering were 24.3till·m-2 and 34.9till·m-2 for Yangdao 6 and Liangyoupeijiu respectively. Large discrepancy between simulate and measured rice tillering was in the decreasing phase of the tillering. In conclusion, the ORY-TIL model with one-way coupling scheme shows a good performance in the simulation of rice tillering, which can be taken as a practical reference for extension of rice growth models.

Key words: Crop model, Hybrid rice, Assimilation method, Field experiment