首页|基于APSIM模型不同施氮处理下夏玉米产量模拟以及敏感性分析

基于APSIM模型不同施氮处理下夏玉米产量模拟以及敏感性分析

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基于大田试验,采用农作物模拟模型,探讨不同施肥量对夏玉米产量的影响,并分析气候变化对夏玉米产量的敏感性.此外,评估APSIM模型在模拟该地区夏玉米产量方面的适用性.研究表明,APSIM模型在模拟该地区夏玉米产量方面表现出色,线性回归系数R2分别为0.952 5和0.983 0,归一化均方根误差(NRMSE)分别为5.567%和7.434%,模型一致性评价指标D分别为0.972和0.993.利用崇州市的气象数据进行模拟,结果表明,在所有复合肥处理中,15-15-15配方的复合肥用量为890 kg/hm2时,夏玉米产量达到最佳.年平均温度和降雨量是影响模型模拟夏玉米产量的最敏感气候因素,各处理下的敏感性指数均呈正相关.
Simulation and Sensitivity Analysis of Summer Maize Yield under Different Nitrogen Application Treatments Based on APSIM Model
Based on field trials,this study employed a crop simulation model to investigate the impact of vary-ing fertilizer applications on the yield of summer maize and to analyze the sensitivity of summer maize yield to cli-mate change.Additionally,the suitability of the APSIM model in simulating the yield of summer maize in the region was evaluated.The results demonstrated that the APSIM model performed exceptionally well in simulating the yield of summer maize in the area,with linear regression coefficients R2 of 0.952 5 and 0.983 0,normalized root mean square errors(NRMSE)of 5.567%and 7.434%,and model consistency evaluation indices D of 0.972 and 0.993.Uti-lizing meteorological data from Chongzhou City for simulation,the findings indicated that among all compound fertil-izer treatments,the optimal yield of summer maize was achieved with an application rate of 890 kg/ha for the 15-15-15 formulation.The average annual temperature and rainfall were identified as the most sensitive climatic factors af-fecting the simulated yield of summer maize under different fertilizer treatments,with sensitivity indices showing positive correlations across treatments.

Summer maizeAPSIM modelCompound fertilizerCrop yieldSensitivity analysis

古莱姆拜尔·艾尔肯、梁艺、马合木江·艾合买提、赵鑫、卫仁娟

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四川水利职业技术学院,四川崇州 611231

新疆农业大学水利与土木工程学院,乌鲁木齐 830052

夏玉米 APSIM模型 复合肥 作物产量 敏感性分析

2024

玉米科学
吉林省农业科学院 国家玉米工程技术研究中心(吉林) 国家玉米改良中心 中国农业科技东北创新中心

玉米科学

CSTPCD北大核心
影响因子:1.163
ISSN:1005-0906
年,卷(期):2024.32(10)