中国农业科学

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最新录用:基于APSIM模型模拟分析气候变化对不同熟性北方冬小麦生长和产量的影响

史鑫蕊,韩百书,王紫仟,张媛铃,李萍,宗毓铮,张东升,高志强,郝兴宇   

  1. 山西农业大学农学院,山西太谷 030801
  • 发布日期:2023-05-29

Investigation on the Effects of Climate Change on the Growth and Yield of Different Maturity Winter Wheat Varieties in Northern China Based on the APSIM Model

SHI XinRui, HAN BaiShu, WANG ZiQian, ZHANG YuanLing, LI Ping, ZONG YuZheng, ZHANG DongSheng, GAO ZhiQiang, HAO XingYu   

  1. College of Agriculture, Shanxi Agricultural University, Taigu 030801, Shanxi
  • Online:2023-05-29

摘要: 目的开展气候变化对冬小麦生长发育和产量影响研究,为未来气候变化下小麦可持续生产提供依据。【方法】利用2017—2020年度控制气室中不同温度和[CO2]处理下的良星99(晚熟品种)和中科2011(早熟品种)冬小麦生长发育、土壤及气象数据,对APSIMagricultural production systems simulator)模型进行校验,然后,以1986—2005年为基准年份,利用校验好的APSIM模型对未来不同气候条件下(RCP4.5RCP8.5)的冬小麦产量、产量构成和生育期进行模拟,分析气候变化及极端高温对不同熟性冬小麦品种生产潜力的影响。【结果】APSIM模型能较好地模拟不同温度和[CO2]处理下2个品种冬小麦的生育期、产量和生物量,模拟值与实测值的R2均高于0.614nRMSE均低于10.6%,叶面积指数(LAI)的模拟效果相对较差。从长期模拟结果来看,不同气候条件下,2个品种小麦的播种-拔节天数均较基准年份缩短,且早熟品种小麦播种-拔节缩短的天数小于晚熟品种,2个品种拔节-成熟天数均无明显变化。相较基准年份,未来RCP条件下,2个品种小麦的实际产量和潜在产量均增加,且2100s时段RCP8.5条件下的产量和潜在产量最高,早熟品种的产量和潜在产量相较晚熟品种增产更明显。与基准年份相比,未来RCP条件下,生育前期2个品种小麦的LAI均升高,但早熟品种LAI变化更明显,生育后期晚熟品种的LAI明显降低,而早熟品种的LAI无明显差异;未来RCP条件下,2个品种的地上部生物量均增加,早熟品种生物量增长更明显。不同RCP条件下,极端高温对2个品种冬小麦产量和千粒重均有一定的负面影响,且开花期极端高温对千粒重的影响最大。与正常年份相比,极端高温年份晚熟品种2100s时段RCP8.5条件下的千粒重和产量明显降低,籽粒数也略有降低。与正常年份相比,未来RCP条件下,极端高温均明显降低了早熟品种的千粒重,但籽粒数略有升高,因此,极端高温年份早熟品种产量降低不明显。【结论】冬小麦早熟品种更能适应未来气候变化,而选育适宜的小麦品种是应对未来气候变化的有效措施之一。


关键词: 气候变化, 极端高温, 冬小麦品种, 产量, APSIM模型

Abstract: 【Objective】This study aims to clarify the impacts of climate change on the growth, development and yield of winter wheat of different maturity, so as to provide a theoretical basis for the sustainable production of wheat under future climate change. 【Method】The data about growth of two winter wheat varieties of Liangxing 99 (late-maturing) and Zhongke 2011 (early-maturing), soil, and meteorology, which were observed under different temperatures and [CO2] treatments in the open top chamber in 2017-2020, were used to calibrate and validate the APSIM (agricultural production systems simulator) model. Then the verified model was used to simulate winter wheat yield, yield composition and phenology dates under different future climate conditions (RCP4.5 and RCP8.5) with a baseline period of 1986—2005. And the impacts of climate change and extreme high temperature on the production potential of different maturity winter wheat varieties were analyzed. 【ResultThe APSIM model was able to well simulate the phenology, yield and biomass under different air temperature and [CO2] treatments since the simulated and measured values of R2 were higher than 0.614 and the values of nRMSE were all lower than 10.6%. However, the simulation result of leaf area index (LAI) was relatively poor. For the long-term simulation results, under different climate conditions, the days from sowing to jointing were shorter than the baseline for two wheat varieties. The shortened days of early-maturing variety were smaller than those of late-maturing variety. There was no obvious change in the days from jointing to maturity between the two varieties. The yield and potential yield of the two wheat varieties were higher under the future RCP conditions than under the baseline period. The yield and potential yield were the highest under the RCP 8.5 condition in 2100s. The yield and potential yield of early-maturing variety were more remarkably increased than those of late-maturing variety. Compared with the baseline, the LAI values of the two wheat varieties increased in the early growth stage. Then, the LAI of the late-maturing variety decreased obviously in the late growth stage, while the LAI of the early-maturing variety had no obvious difference. The aboveground biomass of the two wheat varieties both increased, and the early-maturing variety increased more remarkably than the late-maturing variety. Under different RCP conditions, extreme high temperature had negative impacts on the yield and 1 000-grain weight of the two varieties of winter wheat. Extreme high temperature at flowering stage had the greatest impact on 1 000-grain weight. Compared with the normal years, the 1 000-grain weight and yield of late-maturing variety decreased obviously in extreme-high-temperature years under the RCP8.5 condition in 2100s, while the grain number also decreased slightly. Under different RCP conditions, compared with the normal years, extreme high temperature obviously reduced the 1 000-grain weight of early-maturing variety but slightly increased the grain numbers. Thus, yield reduction of early-maturing wheat variety in extreme high temperature years was not obvious. 【Conclusion】Early-maturing variety of winter wheat will be more adaptable to future climate change. Thus, breeding of wheat varieties to adapt to climate change is one of the effective measures to cope with future climate change.


Key words: climate change, extreme high temperature, winter wheat variety, yield, APSIM model