优化玉米秸秆还田可提高小麦产量和氮素利用效率,同时减少N2O排放

IF 6.8 1区 农林科学 Q1 SOIL SCIENCE
Liuge Wu , Qiang Wang , Yuxiao Su , Yuntan Zheng , Yulun Lu , Shanchao Zheng , Muhammad Akhtar , Aixing Deng , Xin Zhang , Zhenwei Song , Chengyan Zheng , Weijian Zhang
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引用次数: 0

摘要

秸秆还田不仅会影响土壤肥力和作物生产力,还会影响氮素利用效率(NUE)和氧化亚氮(N2O)排放。然而,确保高产和NUE(粮食产量/总氮吸收,%)且N2O排放量较少的最佳秸秆还田方式仍未得到充分了解。在华北平原进行为期2年的玉米秸秆还田试验,通过秸秆去除(CK)、秸秆覆盖(SM)、秸秆均匀混作0-10 cm土层(SR10)、秸秆均匀混作0-20 cm土层(SR20)、秸秆与0-10 cm土层均匀混作再混作10-20 cm土层(TB) 5种处理,研究玉米秸秆还田对小麦产量、氮肥利用率和N2O排放的综合影响。结果表明,玉米秸秆还田与秸秆覆盖相比显著提高了小麦产量,其中TB还田产量最高(10.63 Mg ha-1),氮素利用效率最高(32.97);在10 ~ 20 cm土层,施药可提高土壤有机碳(SOC)和全氮(TN), TN比SM平均提高24.89 %,促进小麦植株对N的吸收,减少N2O的排放。相反,与结核相比,秸秆覆盖或混合在0-10 cm土层中,由于硝化微生物活性增强和反硝化基质供应减少,导致N2O累积排放量分别增加22.33 %和20.39 %,特别是在生长早期。与秸秆覆盖相比,TB减少了产量规模的N2O排放27.6-29.4 %。结构方程模型(SEM)显示,秸秆还田对土壤化学性质(r = 0.37,P <; 0.001)和反硝化微生物活性(r = 0.62,P <; 0.001)的影响是N2O排放的关键驱动因素。这些研究结果表明,在华北平原集约小麦-玉米种植系统中,分层施用秸秆-土壤混合物是平衡小麦产量、氮肥利用效率和缓解N2O的一种有希望的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing maize straw return enhances wheat yield and nitrogen use efficiency while reducing N2O emissions
Crop straw return can not only affect soil fertility & crop productivity, but also influence nitrogen use efficiency (NUE) and nitrous oxide (N2O) emissions. However, the optimal straw return methods that ensure high yield and NUE (grain yield/total N uptake, %) with less N2O emissions remain inadequately understood. Here, we conducted a two-year field experiment in the North China Plain to investigate the integrated effects of maize straw return on wheat yield, NUE and N2O emissions with five treatments: straw removal (CK), straw mulch (SM), straw mixed evenly into the 0–10 cm soil layer (SR10), straw mixed evenly into the 0–20 cm soil layer (SR20), and straw mixed evenly with the 0–10 cm soil and then the mixture incorporated into the 10–20 cm soil layer (TB). Results showed that maize straw return significantly increased wheat yield compared to straw mulch, with the method of TB achieving the highest yield (10.63 Mg ha-1) and NUE (32.97). TB also improved soil organic carbon (SOC) and total N (TN) at the 10–20 cm soil layer, with TN increased by 24.89 % on average compared with SM, promoting soil N uptake by wheat plant and reducing N2O emissions. Conversely, straw mulch or mixed into 0–10 cm soil layer triggered cumulative N2O emissions by 22.33 % and 20.39 % compared to TB, respectively, particularly during the early growing stages, due to enhanced nitrification microbial activity and reduced substrate supply for denitrification. TB reduced yield-scaled N2O emissions by 27.6–29.4 % compared with straw mulch. Structural equation modeling (SEM) revealed that effects of straw return on soil chemical properties (r = 0.37, P < 0.001) and denitrification microbial activity (r = 0.62, P < 0.001) were key drivers of N2O emissions. These findings highlight that stratified incorporation of straw–soil mixtures is a promising strategy to balance wheat yield, NUE, and N2O mitigation in intensive wheat–maize cropping systems in the North China Plain.
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来源期刊
Soil & Tillage Research
Soil & Tillage Research 农林科学-土壤科学
CiteScore
13.00
自引率
6.20%
发文量
266
审稿时长
5 months
期刊介绍: Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research: The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.
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