中国农业气象 ›› 2020, Vol. 41 ›› Issue (10): 644-654.doi: 10.3969/j.issn.1000-6362.2020.10.004

• 农业生物气象栏目 • 上一篇    下一篇

苗期高温对草莓生育期的影响及其模拟

徐超,王明田,杨再强,韩玮,郑盛华   

  1. 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,南京 210044;2. 南京信息工程大学滨江学院,无锡 214000;3. 四川省气象台,成都 610091;4. 农业农村部西南山地农业环境重点实验室,成都 610091
  • 收稿日期:2020-06-06 出版日期:2020-10-20 发布日期:2020-10-15
  • 作者简介:徐超,E-mail:nmweifan@126.com
  • 基金资助:
    科技部重点研发计划项目(2019YFD1002202);2020年度江苏省研究生科研与实践创新计划项目(KYCX20_0928);四川省农业气象指标体系研究及应用项目(省重实验室2018-重点-05);农业农村部西南山区农业环境重点实验室开放项目(AESMA-OPP-2019006);江苏省自然科学基金青年基金项目(BK20180810)

Effect of High Temperature in Seedling Stage on Phenological Stage of Strawberry and its Simulation

XU Chao, WANG Ming-tian, YANG Zai-qiang , HAN Wei, ZHENG Sheng-hua   

  1. 1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2. Binjiang College, Nanjing University of Information Science and Technology, Wuxi 214000; 3. Sichuan Meteorological Observatory, Chengdu 610091; 4. Key Laboratory of Agricultural Environment in Southwest Mountain Areas, Ministry of Agriculture and Rural Affairs, Chengdu 610091
  • Received:2020-06-06 Online:2020-10-20 Published:2020-10-15

摘要: 以草莓品种“红颜”为实验材料,分别于2018年和2019年利用人工气候箱对苗期草莓进行不同程度高温(日最高温/日最低温32℃/22℃、35℃/25℃、38℃/28℃和41℃/31℃)和持续天数(2d、5d、8d和11d)处理,处理结束后将草莓苗移植到Venlo型玻璃温室进行正常栽培实验,分别记录草莓各生育期的起止日期,同步监测温室气象数据。以2018年数据定量分析苗期高温及其持续天数对草莓移栽后生育期的影响,并分别构建以生理发育时间、辐热积和有效积温为指标的3种高温影响草莓生育期的模拟模型;以2019年的实验数据对所建模型进行拟合验证。结果表明,苗期轻度(32°C持续2~11d)和中度高温(35°C持续2~8d)可以促进草莓提前进入开花期、坐果期和采摘期,而重度(38°C持续2~5d)和特重度(38°C持续8~11d和41°C持续2~11d)高温则会使草莓进入上述关键生育期的时间推迟。三种模型模拟结果分析表明,与辐热积模型和有效积温模型相比,以生理发育时间为尺度的高温影响模型对草莓发育期的模拟更为精确,其模拟的草莓开花期、坐果期和采收期天数与实测值之间拟合方程的决定系数(R2)分别为0.84、0.82和0.97,均方根误差(RMSE)分别为1.39d、1.50d和1.56d,相对误差(RE)分别为2.27%、2.23%和1.57%。可见,温室草莓生产过程中,苗期适度高温有利于后期各生育期提前但温度过高则适得其反,此种情况下,推荐采用生理发育时间模型预测草莓开花期、坐果期起止时间和初次采摘的时间。

关键词: 草莓, 苗期高温, 生理发育时间, 辐热积, 有效积温, 生育期模拟

Abstract: High temperature is one of the common agricultural meteorological disasters, affecting the growth and development of crops. In order to study the effect of high temperature at the seedling stage on the phenology of strawberry in greenhouses, the strawberry variety " Benihoppe " was taken as the experimental material, and different high temperatures (32℃/22℃, 35℃/25℃, 38℃/28℃, and 41℃/31℃) and different stress days (2d, 5d, 8d and 11d) were performed on the strawberry seedlings in greenhouses in 2018 and 2019, and then transplanted to Venlo glass greenhouse for normal cultivation experiment. The data of 2018 quantitatively were used to analyze the effects of high temperature and stress days on the phenology of strawberries in greenhouses, and constructed three models for the effects of high temperature on the growth period of strawberries, including the PDT model, the TEP model, and the GDD model. The experimental data in 2019 were fitted to verify the established model. The results showed that mild (32°C for 2 to 11 days) and moderate high temperature (35°C for 2 to 8 days) at the seedling stage helped strawberries to early entry to the flowering stage, fruit setting stage and picking period, while severe (38°C for 2 to 5 days) and very severe (38°C 8 to 11 days and 41°C for 2 to 11 days) high temperature delayed the time for strawberries to enter the phenology mentioned above. Compared with the TEP model and GDD model, the high temperature impact model based on the PDT was more accurate and had the smallest error. The coefficient of determination(R2) between the simulated values and the measured values of flowering stage, fruit setting stage and harvesting stage were 0.84, 0.82 and 0.97, respectively, the root mean square error(RMSE) were 1.39d, 1.50d and 1.56d, respectively, the relative error(RE) were 2.27%, 2.23% and 1.57%, respectively. Therefore, in the greenhouse strawberry planting process, it is recommended to use the PDT model to predict the start and end times of the strawberry flowering stage, fruit setting stage and harvesting stage.

Key words: Strawberry, High temperature at seedling stage, Physiological development time, Product of thermal effectiveness and PAR, Growing degree days, Phenology simulation