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中国农学通报 ›› 2018, Vol. 34 ›› Issue (30): 1-6.doi: 10.11924/j.issn.1000-6850.casb17070074

所属专题: 水稻

• 农学 农业基础科学 •    下一篇

基于ORYZA v3模型的控制灌溉水稻适宜播期分析

廖祺,王洁,徐俊增,吕玉平   

  1. :河海大学水利水电学院,:江苏省农村水利科技发展中心,:河海大学水利水电学院,:河海大学水利水电学院
  • 收稿日期:2017-07-16 修回日期:2018-09-28 接受日期:2017-08-24 出版日期:2018-10-31 发布日期:2018-10-31
  • 通讯作者: 徐俊增
  • 基金资助:
    江苏水利科技项目“水稻灌区高效水肥管理模式研究与示范”(No.2016068);江苏省研究生培养创新工程项目“不同大气湿度下作物对土 壤水分亏缺的生理响应和诊断”(No.2014/B1605330)。

Suitable Sowing Date for Rice Under Controlled Irrigation by Using ORYZA v3 Model

  • Received:2017-07-16 Revised:2018-09-28 Accepted:2017-08-24 Online:2018-10-31 Published:2018-10-31

摘要: 为了因地制宜地发展控制灌溉,减少不合理的栽培措施对产量的损失,选定适宜的作物播种期是十分必要的。本文基于昆山地区控制灌溉水稻田间实测数据对ORYZA v3模型进行校正和检验,进而模拟昆山地区1971—2010年(40年)不同气候条件下控灌水稻的生长情况,根据模型输出的DVS值,分析不同可播期水稻生育期长度、产量等相关因素,最终确定该地区控灌水稻的适宜播种期。模型校正和检验的RMSEn值在9%~26%之间,决定系数R2在0.85~0.99之间,模型具有良好的适用性。根据DVS值,确定多年控制灌溉水稻最早和最晚可播期为3月28日和6月13日,以最高产量为目标选定播种日期为5月23日至6月13日。考虑模型模拟产量的不稳定性这一因素、以及播种期不同对水稻成熟率、产量不确定性和生育各阶段长度的影响,推荐5月23日至6月3日为苏南地区控制灌溉水稻的适宜播种期。

Abstract: To develop non-flooding controlled irrigation in accordance with local conditions and minimize the yield loss caused by unreasonable cultivation measures, it is necessary to investigate the suitable sowing date for rice. In this text, ORYZA v3 model was firstly calibrated and validated based on data collected from non-flooding controlled irrigation rice field experiment in Kunshan, Jiangsu province, before it was used to simulate the growth of the rice under different climatic conditions from 1971 to 2010 (40 years). According to the model output value of DVS, the rice season period length, yield and some relevant rice growth factors were analyzed, and finally figure out the optimum sowing date. The RMSEn value for model calibration and validation was fell in the range of 9%-26%, and the determination coefficient R2 was between 0.85 and 0.99, which show good performance of ORYZA v3 model. According to the value of DVS, the earliest and latest available sowing date for the non-flooding controlled irrigation rice is determined to be March 28th and June 13th. To acquire the maximum yield, the sowing date was chosen from May 23rd to June 13th. Meanwhile, considering the instability of the model simulation output, the maturity rate of rice, yield uncertainty and procreation stage length corresponding to difference sowing date, the most suitable sowing date for the non-flooding controlled irrigation rice in southern Jiangsu province was recommended as from on May 23rd to June 3rd.

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