Significance of disposable presowing irrigation in wheat in increasing water use efficiency and maintaining high yield under winter wheat-summer maize rotation in the North China Plain

Abstract:
Abstract Water scarcity in the North China Plain (NCP) is threatening irrigation of predominant winter wheat-summer maize rotation and thus rotation yield. To maximally reduce irrigation input while maintaining relatively high yield is urgently needed and an enduring challenge. Here we present an innovative practice that considers the water use of the entire rotation system, i.e., application of presowing irrigation to reach 85% of the field capacity for wheat (W0) compared with the common practice of applying twice more irrigation with each 750\u202fm3\u202fha−1 during the wheat season (W2). After sowing maize, 750\u202fm3\u202fha−1 irrigation was applied for both practices. The main hypothesis was that reducing wheat irrigation would lead to lower water content in the soil, which would in turn preserve more rain in the maize season, and that earlier maturity of wheat caused by reduced irrigation would advance earlier maize-sowing to utilize more radiation and thermal inputs resulting in higher maize yield which would compensate for decreased wheat yield. From 2012 to 2016, the 0–200\u202fcm soil water contents, as well the yield and its components, were monitored at key growth stages of wheat and maize. There was consistently lower water content under W0 than under W2 from flowering to maturity of wheat making 4–5 days earlier maturity under the W0 practice, and led to a higher accumulated temperature of maize relative to the W2 practice. The grain yields of wheat, maize and rotation were 6694 to 9218\u202fkg ha−1, 7284 to 12,843\u202fkg ha−1, 16,336 to 20,605\u202fkg ha−1, respectively. The temperature accumulated after silking well explained the interannual variation in maize yield. In contrast to temperature, rainfall during the maize season explained the yield difference between two practices. The maize yield was 6.4% higher under the W0 practice than under the W2 practice, in a year with sufficient rainfall, above 451\u202fmm, and this trend was unpronounced under rare drought stress, below 250\u202fmm of rainfall, leading to a 7.5% lower yield. The average yield of the four rotation rounds under W0 was equal to that under W2. Nevertheless, the W0 practice significantly increased the water use efficiency under rotation by 12.9%. On average, the irrigated amount in each rotation under W0 was significantly reduced by 1126\u202fm3\u202fha−1 relative to W2. Therefore, the W0 practice is a simple and promising water management strategy for addressing shortages of water and labor while maintaining relatively high rotation yield in the NCP.
Author Listing: Zhencai Sun;Yinghua Zhang;Zhen Zhang;Yanmei Gao;Youming Yang;Han Meikun;Zhimin Wang
Volume: 225
Pages: 105766
DOI: 10.1016/j.agwat.2019.105766
Language: English
Journal: Agricultural Water Management

Agricultural Water Management

AGR WATER MANAGE

影响因子:5.9 是否综述期刊:是 是否OA:否 是否预警:不在预警名单内 发行时间:- ISSN:0378-3774 发刊频率:Monthly 收录数据库:SCIE/Scopus收录 出版国家/地区:NETHERLANDS 出版社:Elsevier

期刊介绍

The journal publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.

该杂志发表具有国际意义的论文,涉及农业水管理的科学、经济和政策。在所有情况下,手稿必须解决的影响,并提供有关农业水管理的见解。

年发文量 497
国人发稿量 281
国人发文占比 56.54%
自引率 11.9%
平均录取率 约50%
平均审稿周期 平均7.0个月平均11.7周
版面费 US$3710
偏重研究方向 农林科学-农艺学
期刊官网 http://www.elsevier.com/wps/find/journaldescription.cws_home/503297/description#description
投稿链接 https://www.editorialmanager.com/AGWAT

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
98.37% 44.43% 0.00% 1.65%

相关指数

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2024年02月发布的2024版 不在预警名单中
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JCR分区 WOS分区等级:Q1区

版本 按学科 分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方(Web of Science)为每个学科内的期刊按照IF数值排 序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
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分区表升级版(试行)的优势:一是论文层级的主题体系既能体现学科交叉特点,又可以精准揭示期刊载文的多学科性;二是采用“期刊超越指数”替代影响因子指标,解决了影响因子数学性质缺陷对评价结果的干扰。整体而言,分区表升级版(试行)突破了期刊评价中学科体系构建、评价指标选择等瓶颈问题,能够更为全面地揭示学术期刊的影响力,为科研评价“去四唯”提供解决思路。相关研究成果经过国际同行的认可,已经发表在科学计量学领域国际重要期刊。

《2019年中国科学院文献情报中心期刊分区表升级版(试行)》首次将社会科学引文数据库(SSCI)期刊纳入到分区评估中。升级版分区表(试行)设置了包括自然科学和社会科学在内的18个大类学科。基础版和升级版(试行)将过渡共存三年时间,推测在此期间各大高校和科研院所仍可能会以基础版为考核参考标准。 提示:中科院分区官方微信公众号“fenqubiao”仅提供基础版数据查询,暂无升级版数据,请注意区分。

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版本 大类学科 小类学科 Top期刊 综述期刊
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1区
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1区
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水资源
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2021年12月
基础版
农林科学
2区
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升级版
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2020年12月
旧的升级版
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1区
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2022年12月
最新升级版
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1区
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