中国农业气象 ›› 2026, Vol. 47 ›› Issue (7): 1040-1053.doi: 10.3969/j.issn.1000-6362.2026.07.004

• 二十四节气与现代农业气象 • 上一篇    下一篇

四川盆区水稻关键生育期高温胁迫对产量的影响及节气尺度下的适宜播期

吴婉清,韩琳,袁淑杰,张建平   

  1. 1. 成都信息工程大学大气科学学院,成都 610225;2. 重庆市气象科学研究所,重庆 401147
  • 收稿日期:2025-05-20 出版日期:2026-07-22 发布日期:2026-07-21
  • 作者简介:吴婉清,E-mail:18786660820@163.com
  • 基金资助:
    四川省科技厅项目(2026NSFSC0211);中国气象局农业气象保障与应用技术重点开放实验室开放研究基金项目(AMF202503);国家自然科学基金面上项目(42175193);第二次青藏高原综合科学考察研究项目(2019QZKK0105);四川省科技计划资助项目(2025NSFSC2045)

Impact of High-temperature Stress on Rice at Critical Growth Stages in the Sichuan Basin and Determining Suitable Sowing Dates at Solar Terms Scale

WU Wan-qing, HAN Lin, YUAN Shu-jie, ZHANG Jian-ping   

  1. 1. School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China; 2. Chongqing Institute of Meteorological Sciences, Chongqing 401147
  • Received:2025-05-20 Online:2026-07-22 Published:2026-07-21

摘要:

基于2020年重庆江津国家农业气象试验站的稻田间试验数据,构建本地化校准DSSAT− CERES−Rice模型利用验证后的模型模拟不同高温情景水稻关键生育期生长发育产量的影响;在此基础上,探讨二十四节气尺度下水稻宜香优2115’适宜播期为实现其在四川盆地水稻高产稳产提供参考。结果表明(1本地参数化率定DSSAT−CERES−Rice模型模拟值与观测值相关关系较好模型模拟的水稻开花期成熟期以及最终产量与实际观测值的决定系数分别为0.970.940.70,均方根误差分别为0.95d、1.35d248.06kg·hm2(2)抽穗扬花期水稻受高温胁迫日最高气温≥35℃且持续3d及以上),减产率介于4.3%~6.8%,显著高于灌浆乳熟期受高温胁迫的减产率(<2.2%),表明抽穗扬花期水稻对高温更敏感且温度越高、持续时间越长,水稻减产率越高。抽穗扬花期和灌浆乳熟期同时受日最高气温39℃、各自持7d的高温胁迫,水稻减产率为8.2%,较抽穗扬花期、灌浆乳熟期单一生育期受高温胁迫分别显著增加1.7个和7.5个百分点。(3本地参数化DSSAT−CERES−Rice模型对不同播期水稻产量模拟结果显示,重庆江津地区‘宜香优2115’的最适播种期为惊蛰当日。

关键词: 二十四节气, 水稻产量, 高温胁迫, DSSAT?CERES?Rice模型

Abstract:

Based on the rice field experiment data from the Jiangjin National Agricultural Meteorological Experimental Station in Chongqing in 2020, authors constructed and utilized a locally calibrated DSSATCERES− Rice model to simulate the impact of different high temperature on the growth and development of rice during its key growth stages, as well as yield. In addition, the appropriate sowing date for 'Yixiangyou 2115' rice based on the Twentyfour solar terms scale was explored, providing a reference for achieving high and stable yield in the Sichuan basin. The results showed that: (1) the simulated values of the DSSATCERESRice model, calibrated with local parameters, exhibit a significant correlation with the observed values. The coefficients of determination for the model's simulated rice flowering date, maturity date and final yield, compared to the actual observed values, were 0.97, 0.94 and 0.70, respectively, while the root mean square errors were 0.95d, 1.35d and 248.06kg·ha1, respectively. (2) When rice was only subjected to high temperature stress (daily maximum temperature 35℃ for 3d or more consecutive days) during the headingflowering stage, the yield reduction rate ranged from 4.3% to 6.8%, which was significantly higher than the yield reduction rate (<2.2%), when rice was subjected to high temperature stress during the grain fillingmilky stage. This indicated that rice during the headingflowering stage was more sensitive to high temperatures, and the higher temperature and the longer duration, the higher yield reduction rate of rice. When both the headingflowering and grain fillingmilky stages were subjected to compound high-temperature stress with a daily maximum temperature of 39lasting 7d at each stage, the yield reduction reached 8.2%, increasing by 1.7 and 7.5 percentage points compared with singlestage stress during the headingflowering and grain fillingmilky stages, respectively. (3) The simulation results of the locally parameterized DSSAT−CERES−Rice model for rice yields at different sowing dates showed that the optimal sowing date for 'Yixiangyou 2115' in Jiangjin of Chongqing, was on the day of the Hibernator Awakening.

Key words: Twenty?four solar terms, Rice yield, High?temperature stress, DSSAT?CERES?Rice model