Optimizing water and nitrogen inputs for sustainable wheat yields and minimal environmental impacts

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Xiaomeng Huang , Xinpeng Xu , Qichao Zhu , Yitao Zhang
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引用次数: 0

Abstract

Context

Northern China still has great potential to increase wheat productivity. Studies have shown that the improper wheat management of water and fertilizer aggravates the risk of yield instability and environmental pollution in this region. Optimizing water and N management can increase wheat yield, improve nitrogen (N) use efficiency (NUE) and water-use-efficiency (WUE), and reduce nutrient loss and environmental pollution. Therefore, the potential benefits of water and N management measures for wheat productivity in Northern China require further quantification.

Objective

We quantified the effects of different N fertilizers, water, and integrated water and N management strategies on wheat yield, NUE, WUE, and greenhouse gas emissions and comprehensively evaluated the potential benefits of integrated water and N management in wheat-producing areas in Northern China.

Methods

Using a meta-analysis approach, we quantified and compared the effects of four water and N management strategies (optimal N management [ONM], optimal water management [OWM], integrated water and N management [IWNM], and traditional farmers' practices [FP]) on winter wheat yield, NUE and WUE, and related environmental effects in Northern China.

Results and conclusions

The results showed that, compared to those in FP, the N fertilizer application rate was 35% lower in ONM, irrigation water was 39% lower in OWM, and the N fertilizer application rate and irrigation water rate decreased by 45% and 42% in IWNM, respectively. Water and N management strategies had positive effects on yield and partial factor productivity of applied N (PFP-N), with ONM, OWM, and IWNM with 7%, 10%, and 11% higher yields and 64%, 10%, and 103% higher PFP-N than those in FP, respectively. The management practices had a positive impact on gas emission reduction, i.e., NH3 volatilization decreased by 48%, 58%, and 72%, and N2O emissions were reduced by 29%, 32%, and 57% for ONM, OWM, and IWNM, respectively, compared to those in FP. In addition, the WUEs of OWM and IWNM were 16% and 31% higher than those of FP, respectively. The results of the meta-analysis showed that, compared with ONM and OWM, IWNM could achieve higher wheat yields and lower greenhouse gas emissions based on less fertilizer and water consumption.

Significance

Water and N are important for sustaining crop productivity in China. Focusing on exploring and optimizing the relationship and interaction between fertilization and water management can increase wheat yield, reduce environmental impacts, ensure NUE and WUE, and provide a theoretical basis for ensuring food security.

Abstract Image

优化水和氮的投入,实现可持续的小麦产量,并将对环境的影响降至最低
背景中国北方在提高小麦产量方面仍有巨大潜力。研究表明,小麦水肥管理不当会加剧该地区小麦产量不稳定和环境污染的风险。优化水肥管理可提高小麦产量,改善氮利用效率和水利用效率,减少养分流失和环境污染。目标我们量化了不同氮肥、水以及水氮综合管理策略对小麦产量、氮利用效率、水利用效率和温室气体排放的影响,并全面评估了华北小麦产区水氮综合管理的潜在效益。方法采用荟萃分析方法,量化并比较了华北地区四种水氮管理策略(最优氮管理[ONM]、最优水管理[OWM]、水氮综合管理[IWNM]和传统农作方法[FP])对冬小麦产量、净利用效率和水分利用效率以及相关环境效应的影响。结果与结论结果表明,与FP相比,ONM的氮肥施用量减少了35%,OWM的灌溉用水量减少了39%,IWNM的氮肥施用量和灌溉用水量分别减少了45%和42%。水和氮管理策略对产量和施用氮的部分要素生产率(PFP-N)有积极影响,ONM、OWM 和 IWNM 比 FP 的产量分别高出 7%、10% 和 11%,PFP-N 分别高出 64%、10% 和 103%。管理措施对气体减排有积极影响,即与 FP 相比,ONM、OWM 和 IWNM 的 NH3 挥发量分别减少了 48%、58% 和 72%,N2O 排放量分别减少了 29%、32% 和 57%。此外,OWM 和 IWNM 的 WUE 分别比 FP 高 16% 和 31%。荟萃分析结果表明,与 ONM 和 OWM 相比,IWNM 在减少肥料和水消耗的基础上,可实现更高的小麦产量和更低的温室气体排放。重点探索和优化肥水管理之间的关系和相互作用,可以提高小麦产量,减少对环境的影响,确保氮利用效率和水分利用效率,为确保粮食安全提供理论依据。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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