优化秸秆碳氮比可通过增强土壤-根系相互作用提高水稻产量和稳定性

IF 6.8 1区 农林科学 Q1 SOIL SCIENCE
Jiayong Gao, Jinrui Huang, Shiyuan Zhang, Yanqiu Geng, Xiwen Shao, Qiang Zhang, Liying Guo
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引用次数: 0

摘要

土壤退化对农业可持续性和粮食安全构成重大威胁,秸秆还田成为实现农业可持续发展的有效措施。然而,调节秸秆碳氮比对土壤质量和水稻根系的协同效应尚不清楚。为了解决这一知识差距,我们采用单因素随机区组设计进行了为期四年的现场实验。以常规栽培(CK)为对照,在秸秆还田条件下设置5个处理:不施氮(SN0),碳氮比分别为35:1 (SN1)、31:1 (SN2)、27:1 (SN3)和23:1 (SN4)。本研究旨在探讨调节秸秆碳氮比对土壤质量、根系生长和产量的影响,并阐明它们之间的相互关系。结果表明,秸秆还田显著提高了土壤质量指数,改善幅度在58.51 % ~ 173.79 %之间。低碳氮比处理减轻了分蘖期秸秆还田对根系生长的抑制作用,通过优化土壤质量促进中后期根系发育,SN3产量显著提高10.74 %。线性回归分析表明,土壤质量指数与可持续产量指数呈显著正相关。偏最小二乘路径模型表明,土壤生物特性是主要驱动因素,直接影响土壤质量指数,间接影响水稻产量。随着碳氮比的减小,各指标表现出单峰响应,在SN3处达到阈值。综上所述,SN3实现了土壤质量指数和根系生长的协同增强,从而提高了水稻产量和稳定性。研究结果为提高土壤质量和发展可持续农业提供了有价值的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing the C/N ratio of straw increases rice yield and stability by the enhanced soil-root interaction
Soil degradation poses a significant threat to agricultural sustainability and food security, with straw incorporation emerging as an effective measure for sustainable agricultural development. However, the synergistic effects of adjusting straw carbon-to-nitrogen (C/N) ratios on soil quality and rice root systems remain unclear. To address this knowledge gap, we conducted a four-year field experiment employing a single-factor randomized block design. Conventional cultivation (CK) was used as the control, and five treatments were established under straw incorporation conditions: no nitrogen application (SN0) and four C/N ratios of 35:1 (SN1), 31:1 (SN2), 27:1 (SN3), and 23:1 (SN4). The study aimed to investigate the impact of regulating straw C/N ratios on soil quality, root growth, and yield, while elucidating their interrelationships. Results demonstrate that straw incorporation significantly enhances the soil quality index, with improvements ranging from 58.51 % to 173.79 %. Low C/N treatments mitigate the inhibitory effects of straw incorporation on root growth during the tillering stage and promote mid-to-late stage root development through soil quality optimization, leading to a significant 10.74 % yield increase in SN3. Linear regression analysis reveals a significant positive correlation between the soil quality index and the sustainability yield index. Partial least squares path modeling indicates that soil biological properties are the primary drivers, directly influencing the soil quality index and indirectly affecting rice yield. Various indicators exhibit unimodal responses with decreasing C/N ratios, reaching a threshold at SN3. In conclusion, SN3 achieves a synergistic enhancement of the soil quality index and root growth, consequently improving rice yield and stability. These findings provide valuable guidance for enhancing soil quality and developing sustainable agriculture.
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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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