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基于DSSAT模型对豫北地区夏玉米灌溉制度的优化模拟
引用本文:刘影,关小康,杨明达,丁超明,崔静宇,黄洁,梅福建,王怀苹,王同朝.基于DSSAT模型对豫北地区夏玉米灌溉制度的优化模拟[J].生态学报,2019,39(14):5348-5358.
作者姓名:刘影  关小康  杨明达  丁超明  崔静宇  黄洁  梅福建  王怀苹  王同朝
作者单位:河南农业大学农学院河南粮食作物协同创新中心;南阳市宛城区种子管理站;浚县丰黎种业有限公司
基金项目:国家重点研发计划项目(2017YFD0301106);国家自然科学基金项目(31471452,31601258)
摘    要:合理的灌溉制度是提高农业水资源利用效率、保证夏玉米高产稳产的前提。采用农业技术转化决策系统(DSSAT,Decision Support System for Agrotechno1ogy Transfer)探究了河南省北部地区夏玉米不同降水年型下的最优灌溉制度。经过参数的校正和验证,归一化均方根误差(nRMSE)、均方根误差(RMSE)和一致性指数(d)均表现出模拟值与实测值的吻合度很好,DSSAT-maize模型可以准确模拟夏玉米物候期、地上部分生物量、产量和土壤水分状况。然后基于模型模拟了不同灌溉处理下的夏玉米生产潜力,从而评估夏玉米缺水量,并对比分析不同生育时期灌水对产量的影响确定最优灌溉时期,综合考虑产量和水分利用效率确定最优灌溉制度。结果表明:夏玉米生长季的缺水量年际间差异显著,多年平均值为38.91 mm,波动范围为0—193.03 mm。在丰水年,不需要灌溉;在平水年,开花期灌水30 mm;在枯水年,开花期和灌浆期灌水50 mm;在特别干旱年,苗期、拔节期和开花期至少灌水180 mm。优化的灌溉制度下丰水年、平水年和枯水年的WUE达到最高且产量分别占其最高产量的100%、99.72%和97.89%,实现了作物高产节水协同提高的目标。

关 键 词:DSSAT模型  夏玉米  降水年型  灌溉制度
收稿时间:2018/8/10 0:00:00
修稿时间:2019/2/19 0:00:00

Optimizing the summer maize irrigation schedule in North Henan Province based on the DSSAT model
LIU Ying,GUAN Xiaokang,YANG Mingd,DING Chaoming,CUI Jingyu,HUANG Jie,MEI Fujian,WANG Huaiping and WANG Tongchao.Optimizing the summer maize irrigation schedule in North Henan Province based on the DSSAT model[J].Acta Ecologica Sinica,2019,39(14):5348-5358.
Authors:LIU Ying  GUAN Xiaokang  YANG Mingd  DING Chaoming  CUI Jingyu  HUANG Jie  MEI Fujian  WANG Huaiping and WANG Tongchao
Institution:Agricultural College, Henan Agricultural University, Collaboration Innovation Center of Henan Grain Crops, Zhengzhou 450002, China,Agricultural College, Henan Agricultural University, Collaboration Innovation Center of Henan Grain Crops, Zhengzhou 450002, China,Agricultural College, Henan Agricultural University, Collaboration Innovation Center of Henan Grain Crops, Zhengzhou 450002, China,Agricultural College, Henan Agricultural University, Collaboration Innovation Center of Henan Grain Crops, Zhengzhou 450002, China,Agricultural College, Henan Agricultural University, Collaboration Innovation Center of Henan Grain Crops, Zhengzhou 450002, China,Seed Management of Wancheng District, Nanyang 473000, China,Agricultural College, Henan Agricultural University, Collaboration Innovation Center of Henan Grain Crops, Zhengzhou 450002, China,Xunxian Fengli Seed Industry Co., Ltd., Hebi 456250, China and Agricultural College, Henan Agricultural University, Collaboration Innovation Center of Henan Grain Crops, Zhengzhou 450002, China
Abstract:Henan Province is the main summer maize production area in China; however, the yield of maize in this region has been seriously threatened by water scarcity. It is important to improve maize yield and stability by appropriate irrigation allied to high water-use efficiency (WUE). In this study, we applied the Decision Support System for Agrotechnology Transfer (DSSAT) to determine the optimal irrigation schedules for summer maize in different hydrological years in the northern region of Henan Province. The GLUE procedure together with normalized root mean square errors (nRMSE), root mean square errors (RMSE), and index of agreement (d) showed that DSSAT-maize can be used to correctly predict maize yield, phenology, aboveground biomass, and soil water content. A calibrated model was used to simulate the effects of different irrigation treatments on the yield potential of summer maize in different hydrological years, and to evaluate the water shortages during the summer maize growing season. The optimal irrigation period was determined by comparing yield responses with different irrigation amounts and times, thereby enabling optimization of the irrigation schedule with yield and WUE. The results showed that water shortage in the summer maize growing season has varied significantly for the period of 1988-2017, averaging 38.91 mm, with a variation of 0 to 193.03 mm. In wet years, irrigation was unnecessary. Irrigation of 30 mm at the flowering stage should be applied in normal years and 50 mm at the flowering and grain-filling stages in dry years. In extraordinary dry years, irrigation of at least 180 mm should be applied at the emergence, jointing, and flowering stages of summer maize. Under the optimized irrigation schedule, when WUE reached the highest level in wet, normal, and dry years, the yield obtained accounted for 100%, 99.72%, and 97.89% of the maximum yield, respectively. The optimized irrigation schedule would produce a higher summer maize yield with the highest WUE.
Keywords:DSSAT model  summer maize  hydrological year  irrigation schedule
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