中国农业科学 ›› 2020, Vol. 53 ›› Issue (5): 904-916.doi: 10.3864/j.issn.0578-1752.2020.05.004

• 耕作栽培·生理生化·农业信息技术 • 上一篇    下一篇

旱地春小麦产量对不同生育阶段温度变化的响应模拟

王钧1,2,李广1(),闫丽娟3,刘强2,聂志刚2   

  1. 1 甘肃农业大学林学院,兰州730070
    2 甘肃农业大学信息科学技术学院,兰州 730070
    3 甘肃农业大学农学院,兰州 730070
  • 收稿日期:2019-08-02 接受日期:2019-09-12 出版日期:2020-03-01 发布日期:2020-03-14
  • 通讯作者: 李广
  • 作者简介:王钧,E-mail:julianwong82@163.com。
  • 基金资助:
    甘肃农业大学学科建设基金(GAU-XKJS2018258);国家自然科学基金(31660348);甘肃省重点研发计划(18YF1NA070);甘肃省高等学校协同创新团队项目(2018C-16);甘肃省财政专项(GSCZZ-20160909);甘肃省财政专项(GSCZZ-20160909);甘肃农业大学青年导师基金项目(GAU-QNDS-201702);甘肃农业大学信息科学技术学院发展基金项目(GAU-XKFZJJ-2020-12);甘肃省自然科学基金项目(18JR3RA169)

Simulation of Spring Wheat Yield Response to Temperature Changes of Different Growth Stages in Drylands

WANG Jun1,2,LI Guang1(),YAN LiJuan3,LIU Qiang2,NIE ZhiGang2   

  1. 1 College of Forestry, Gansu Agricultural University, Lanzhou 730070
    2 College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070
    3 Agronomy College, Gansu Agriculture University, Lanzhou 730070
  • Received:2019-08-02 Accepted:2019-09-12 Online:2020-03-01 Published:2020-03-14
  • Contact: Guang LI

摘要:

【目的】定量分析陇中黄土丘陵沟壑区旱地春小麦不同生育阶段温度变化对小麦产量的影响,为陇中黄土丘陵沟壑区制定合理种植模式提供理论指导和决策依据。【方法】基于灰色关联度分析不同生育阶段温度与旱地春小麦产量间的关联性,确定影响旱地春小麦产量的关键生育阶段。应用APSIM(Agricultural Production System Simulator)模型模拟不同生育阶段温度变化条件下春小麦的产量,通过二次多项回归分析、单因素边际效应分析方法研究旱地春小麦产量对不同生育阶段温度变化的响应机制。【结果】(1)APSIM模型对模拟陇中黄土丘陵沟壑区不同播种期旱地春小麦的产量和生育期具有较高的适用性,模拟产量和生育期的均方根误差(RMSE)平均值分别为39.95 kg?hm -1和2.78 d,归一化均方根误差(NRMSE)平均值分别为1.55%和1.87%,模型有效性指数(ME)平均值分别为0.73和0.83;(2)陇中黄土丘陵沟壑区旱地春小麦全生育期平均温度总体呈上升趋势,但不同生育阶段的温度增幅各不相同,播种—出苗、出苗—分蘖、分蘖—拔节、拔节—孕穗、孕穗—开花、开花—灌浆和灌浆—成熟阶段的平均气温倾向率分别为0.44℃?(10a) -1、0.34℃?(10a) -1、0.17℃?(10a) -1、0.41℃?(10a) -1、0.49℃?(10a) -1、0.52℃?(10a) -1和0.35℃?(10a) -1;(3)不同生育阶段温度变化对旱地春小麦产量的影响大小依次为灌浆—成熟、开花—灌浆、播种—出苗、孕穗—开花、拔节—孕穗、出苗—分蘖、休闲和分蘖—拔节阶段;(4)在其他生育阶段温度不变的条件下,播种—出苗阶段温度每提高0.5℃,春小麦产量平均增加0.45%;孕穗—开花阶段温度每提高0.5℃,春小麦产量平均减少0.34%。开花—灌浆阶段温度每提高0.5℃,春小麦产量平均减少0.65%;灌浆—成熟阶段温度每增加0.5℃,春小麦产量平均减少1.09%。【结论】APSIM模型对陇中黄土丘陵沟壑区不同播种期旱地春小麦的产量和主要生育期有较好的模拟效果。研究区旱地春小麦全生育期平均温度总体呈上升趋势,但不同生育阶段温度增幅不同。不同生育阶段温度变化对春小麦生长和发育影响不同。播种—出苗阶段增温倾向于增产,其他阶段增温倾向于减产。

关键词: 春小麦产量, 不同生育时期, 温度变化, APSIM模型, 灰色关联度分析

Abstract:

【Objective】This research quantitatively analyzed the effects of temperature changes in different growth stages on the yield of spring wheat in the Loess Plateau Gully Region of Central Gansu, so as to provide theoretical guidance and decision- making basis for making reasonable cropping pattern in the Loess Plateau Gully Region of Central Gansu 【Method】Specifically, it investigated the relationship between temperature changes in different growth stages and the yield of spring wheat in dryland based on grey relational analysis, so as to identify the key growth stages of spring wheat. The yield of spring wheat was simulated using the APSIM (Agricultural Production System Simulator) model under different temperature conditions in different growth stages. The mechanism of yield response to temperature changes in different growth stages was studied through quadratic polynomial regression analysis and single factor marginal effect analysis. 【Result】(1) The results showed that the APSIM model had good applicability in simulating yield and growth stages of spring wheat in the Loess Plateau Gully Region of Central Gansu. The values of the average root mean square error (RMSE), normalized root mean square error (NRMSE), and model effectiveness index (ME) of the yield of the simulation model were 39.95 kg?hm -1, 1.55% and 0.73, respectively. The values of the RMSE, NRMSE, and ME of the simulated model phenology dates were 2.78 d, 1.87% and 0.83, respectively. (2)The average temperature increased steadily during all growth stages of spring wheat in the Loess Plateau Gully Region of Central Gansu, and the average temperatures of the different growth stages showed an increasing trend. The increase of average annual temperature were 0.44℃?(10a) -1, 0.34℃?(10a) -1, 0.17℃?(10a) -1, 0.41℃?(10a) -1, 0.49℃?(10a) -1, 0.52℃?(10a) -1 and 0.35℃?(10a) -1 in sowing-emergence, emergence-tillering, tillering-jointing, jointing-booting, booting-flowering, flowering-grain filling, grain filling-maturity, respectively. (3) The importance of temperature changes in different growth stages on the yield of spring wheat were ranked as follows: grain filling-maturity, flowering-grain filling, sowing-emergence, booting- flowering, jointing-booting, emergence- tillering, fallow, and the tillering-jointing stage. (4) Under constant temperatures at the other growth stages, a temperature increase of 0.5℃ during the sowing-emergence stage could increase the wheat yield by 0.45%; A temperature increase of 0.5℃ during the booting-flowering stage could reduce the wheat yield by 0.34%; a temperature increase of 0.5℃ during the flowering-filling stage could reduce the wheat yield by 0.65%; A temperature increase of 0.5℃ during the filling-maturity stage could reduce the wheat yield by 1.09%. When temperature changes during the sowing-emergence and booting-flowering stages were the same, the effects of the temperature changes on the yield of spring wheat were similar. 【Conclusion】APSIM model has achiedved good simulation results on the yield and growth stages of spring wheat of different sowing dates in the Loess Plateau Gully Region of Central Gansu. The trend of temperature increase obviously existed in the study area during the whole growth stages of spring wheat, but temperature increment was different in different growth stages.The effects of temperature changes in different growth stages on the yield of spring wheat were different. Warming was beneficial to increasing yield during sowing to emergence, but warming led to yield reduction during other growth stages.

Key words: spring wheat yield, different growth stages, temperature change, APSIM, grey relation analysis