东北春玉米最优水氮管理措施模拟

doi:10.3969/j.issn.1673-503X.2023.04.015

Abstract

Abstract:

Taken spring maize in Northeast China as the research object, based on the experimental data of Jinzhou Agroecological Observation Station from 2018 to 2021, parameters of CERES-Maize crop growth model were calibrated and verified.The effects of irrigation and nitrogen management on yield, water use efficiency and economic income of spring maize in different precipitation years (normal, dry and wet years) were simulated to find the optimal water and nitrogen management scheme for spring maize in Northeast China under different precipitation years and production targets.The results show that the normalized root mean square error of CERES-Maize model in simulating the growth period and yield of spring maize is less than 10%, which can meet the requirements of the simulation accuracy of the growth process and yield of maize.The highest yields of spring maize under different irrigation and nitrogen management in different precipitation years are 1.08×10⁴, 1.16×10⁴, 1.13×10⁴ kg·ha^-1 respectively, which is highest in dry year and lowest in normal year.The highest yields are obtained by irrigation quantity of 185, 205, 175 mm, and nitrogen application amount of 75, 175, 125 kg·ha^-1, respectively.The maximum water use efficiency of spring maize under different water and nitrogen management in different precipitation years is the highest in wet year and the lowest in dry year.The highest water use efficiency is obtained by irrigation quantity of 175, 195, 175 mm, and nitrogen application amount of 75, 175, 125 kg·ha^-1, respectively.The maximum economic benefits of spring maize under different water and nitrogen management in different precipitation years are the largest in dry year and the smallest in normal year.The maximum economic benefits are obtained by irrigation quantity of 175, 205, 175 mm, and nitrogen application amount of 75, 175, 125 kg·ha^-1, respectively.

Key words: CERES-Maize model, Nitrogen application amount, Irrigation quantity, Yield, Water use efficiency

CLC Number:

S513

Mingyu LI, Guohui LI, Yirui ZHANG, Nina CHEN, Na MI, Xin QIN, Chenglong LI. Simulation of optimal irrigation and nitrogen management for spring maize in Northeast China[J]. Journal of Meteorology and Environment, 2023, 39(4): 122-129.

Figures/Tables 6

Table 1

Table 2

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Table 3

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References 27

1	中华人民共和国水利部. 中国水资源公报(2021)[M]. 北京: 中国水利水电出版社, 2022.
2	Cui Z L , Chen X P , Zhang F S . Development of regional nitrogen rate guidelines for intensive cropping systems in China[J]. Agronomy Journal, 2013, 105 (5): 1411- 1416. doi: 10.2134/agronj2012.0398
3	朱兆良. 农田中氮肥的损失与对策[J]. 土壤与环境, 2000, 9 (1): 1- 6. doi: 10.3969/j.issn.1674-5906.2000.01.001
4	郭亚宁, 周建朝, 王秋红, 等. 作物水氮耦合效应的研究进展[J]. 中国农学通报, 2019, 35 (15): 1- 5. doi: 10.11924/j.issn.1000-6850.casb19010041
5	马强, 宇万太, 沈善敏, 等. 旱地农田水肥效应研究进展[J]. 应用生态学报, 2007, 18 (3): 665- 673. doi: 10.3321/j.issn:1001-9332.2007.03.035
6	徐杰, 周培禄, 王璞, 等. 水肥管理对东北不同密度春玉米产量及水氮利用效率的影响[J]. 玉米科学, 2016, 24 (1): 142- 147.
7	曲辉辉, 王冬冬, 闫敏慧, 等. 1971-2018年黑龙江省玉米需水量与有效降水量耦合度演变特征[J]. 气象与环境学报, 2022, 38 (5): 81- 87.
8	Negm L M , Youssef M A , Skaggs R W , et al. DRAINMOD-DSSAT simulation of the hydrology, nitrogen dynamics, and plant growth of a drained corn field in Indiana[J]. Journal of Irrigation and Drainage Engineering, 2014, 140 (8): 473- 482.
9	He J Q , Dukes M D , Hochmuth G J , et al. Identifying irrigation and nitrogen best management practices for sweet corn production on sandy soils using CERES-Maize model[J]. Agricultural Water Management, 2012, 109, 61- 70. doi: 10.1016/j.agwat.2012.02.007
10	Mubeen M , Ahmad A , Wajid A , et al. Application of CSM-CERES-Maize model in optimizing irrigated conditions[J]. Outlook on Agriculture, 2016, 45 (3): 173- 184. doi: 10.1177/0030727016664464
11	黄秋婉, 刘志娟, 杨晓光, 等. 东北三省西部春玉米适应气候变化的高产高效灌溉方案分析[J]. 中国农业科学, 2020, 53 (21): 4470- 4484. doi: 10.3864/j.issn.0578-1752.2020.21.015
12	Jiang R , He W T , Zhou W , et al. Exploring management strategies to improve maize yield and nitrogen use efficiency in northeast China using the DNDC and DSSAT models[J]. Computers and Electronics in Agriculture, 2019, 166, 104988. doi: 10.1016/j.compag.2019.104988
13	刘洋, 栗岩峰, 李久生. 东北黑土区膜下滴灌施氮管理对玉米生长和产量的影响[J]. 水利学报, 2014, 45 (5): 529- 536.
14	魏新光, 王铁良, 李波, 等. 辽宁省玉米地水分盈亏时空分布特征及灌溉模式分区研究[J]. 农业工程学报, 2018, 34 (23): 119- 126.
15	李祎君, 吕厚荃. 气候变化背景下农业气象灾害对东北地区春玉米产量影响[J]. 作物学报, 2022, 48 (6): 1537- 1545.
16	吴金华, 盛芝露, 杜加强, 等. 1956-2017年东北地区气温和降水的时空变化特征[J]. 水土保持研究, 2021, 28 (3): 340-347, 后插1.
17	张开, 王立为, 高西宁, 等. 基于DNDC模型不同降水年型下氮肥管理对马铃薯田N₂O减排及增产潜力影响研究[J]. 生态环境学报, 2021, 30 (8): 1672- 1682.
18	Sarkar R . Use of DSSAT to model cropping systems[J]. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 2009, 4 (25): 1- 12.
19	李鸣钰. 未来气候变化对中国玉米产量影响及应对措施研究[D]. 沈阳: 沈阳农业大学, 2020.
20	廖欢, 甘浩天, 刘凯, 等. 机采棉氮素吸收及产量的最佳水氮组合[J]. 植物营养与肥料学报, 2021, 27 (12): 2229- 2242.
21	唐建昭, 肖登攀, 王靖, 等. 不同生产目标条件的马铃薯水氮管理优化[J]. 农业工程学报, 2021, 37 (20): 108- 116.
22	赵秀兰. 近50年中国东北地区气候变化对农业的影响[J]. 东北农业大学学报, 2010, 41 (9): 144- 149.
23	Stewart B A , Peterson G A . Managing green water in dryland agriculture[J]. Agronomy Journal, 2015, 107 (4): 1544- 1553.
24	郝嘉世, 张萌, 马艳红, 等. 玉米水分利用效率的研究进展[J]. 河北科技师范学院学报, 2020, 34 (3): 33- 39.
25	陈妮娜, 纪瑞鹏, 米娜, 等. 春玉米生长发育、产量和籽粒品质对减量施氮的响应[J]. 气象与环境学报, 2021, 37 (4): 86- 92.
26	方缘, 陈妮娜, 姜鹏, 等. 基于WOFOST模型的辽西地区典型旱年不同播期玉米干旱损失评估[J]. 气象与环境学报, 2022, 38 (4): 93- 101.
27	李荣平, 周广胜, 王笑影, 等. 不同物候模型对东北地区作物发育期模拟对比分析[J]. 气象与环境学报, 2012, 28 (3): 25- 30.

年份	播种日期	出苗日期	种植密度/(株/m²)	种植深度/cm
2018	5月8日	5月16日	5.70	8
2019	4月30日	5月9日	5.70	8
2020	4月30日	5月10日	4.19	8
2021	4月30日	5月10日	4.19	8

参数	描述	取值	范围
P1	幼苗期生长特性	269.7	5~450
P2	光周期敏感特性	0.301	0~2
P5	灌浆期特性	966.3	580~999
G2	单株最大穗粒数	797.3	248~990
G5	潜在灌浆速率	9.237	5.0~16.5
PHINT	出叶间隔特性	49	35~65

水氮组合	产量/(×10³ kg·ha^-1)			产量平均值/(×10³ kg·ha^-1)	增产率/(%)
水氮组合	2019年	2020年	2021年	产量平均值/(×10³ kg·ha^-1)	增产率/(%)
I0N0	8.92	7.20	9.07	8.39	—
I0N25	9.69	7.93	9.98	9.20	9.6
I0N75	10.83	9.43	11.22	10.49	25.1
I0N125	10.83	9.86	11.33	10.67	27.2
I0N175	10.83	9.85	11.33	10.67	27.2
I1N25	9.75	8.09	9.98	9.27	10.5
I1N75	10.83	9.69	11.22	10.58	26.1
I1N125	10.83	10.48	11.33	10.88	29.7
I1N175	10.83	10.48	11.33	10.88	29.7
I2N25	9.87	8.38	9.98	9.41	12.2
I2N75	10.83	10.00	11.22	10.68	27.3
I2N125	10.83	11.21	11.33	11.13	32.6
I2N175	10.83	11.25	11.33	11.4	32.7
I3N25	9.92	8.64	9.98	9.52	13.4
I3N75	10.83	10.23	11.22	10.76	28.2
I3N125	10.83	11.48	11.33	11.22	33.7
I3N175	10.83	11.59	11.33	11.25	34.1
平均值	10.58	9.91	10.97	10.48	24.9

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[4]	Ping YAN,Sheng-tai JI,Yan-kun SUN,Li-xia JIANG,Qiu-jing WANG,Jia-jia LV,Ping WANG. Change characteristics of farmland soil moisture in Fuyu County and their effects on development period and yield of Maize [J]. Journal of Meteorology and Environment, 2020, 36(4): 74-82.
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[7]	MA Yong-zhong, CAI Fu, ZHAO Xian-li, WANG Yang. Responses of main physiological parameters and yield of spring maize to drought stress after flowering [J]. Journal of Meteorology and Environment, 2019, 35(2): 102-106.
[8]	MI Na, CAI Fu, ZHANG Yu-shu, ZHAO Yi-jun, ZHANG Shu-jie, JI Rui-peng, WANG Yang, WANG He-ran, SUI Ming. Advanced in research on rainfed crop yield gaps [J]. Journal of Meteorology and Environment, 2018, 34(6): 140-147.
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[13]	XU Ying, LI Man-hua, LI Hui, JIANG Peng. Effects of drought on the growth and yield of maize at different stages over the North China plain [J]. Journal of Meteorology and Environment, 2017, 33(1): 108-112.
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Simulation of optimal irrigation and nitrogen management for spring maize in Northeast China

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