Drivers of soil quality and maize yield under long-term tillage and straw incorporation in Mollisols

IF 6.1 1区 农林科学 Q1 SOIL SCIENCE
Chunzhu Liu , Bingcheng Si , Ying Zhao , Zhimin Wu , Xinchun Lu , Xu Chen , Xiaozeng Han , Yuanchen Zhu , Wenxiu Zou
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引用次数: 0

Abstract

Proper tillage combined with straw management is crucial for maintaining agroecosystem sustainability and crop yield, especially under intensified agricultural activities. However, the optimal depth for tillage in combination with straw incorporation remains unclear. To address this, we established a field experiment in 2011 in Mollisols with five treatments: conventional tillage (CT, tillage depth 20 cm), no-tillage combined with straw return (SNT), conventional tillage combined with straw return (SCT), inversion tillage combined with straw return (SIT, tillage depth 35 cm), and subsoil tillage combined with straw return (SST, straw depth 20–35 cm). We assessed the effects of these treatments on soil quality by evaluating the Soil Physical Property Index (SPI), Soil Chemical Property Index (SCI), and Soil Microbial Property Index (SMI) in relation to the Soil Quality Index (SQI) and crop yield. Our findings shown that tillage combined with straw return significantly improved soil properties. Compared to the CT, SNT, and SST treatments, the SCT and SIT treatments increased SPI and SQI in the 0–20 cm soil layer by 43.9–845.4 %. While the SIT and SST treatments enhanced SPI, SCI, and SMI in the 20–35 cm soil layer by 69.2–307.7 % more than the CT, SNT, and SCT treatments. Among all treatments, SIT treatment resulted in the highest SPI, SCI, and SMI in the 0–35 cm soil layer. Additionally, SQI and maize yield under the SIT treatment were 11.7–140.5 % and 15.6–78.0 % higher, respectively, compared to other treatments. Linear regression analysis revealed that SPI in all layers had a significant impact on maize yield, while SCI and SMI were significantly correlated with yield only in the 20–35 cm layer (P < 0.05). SPI's contribution to maize yield was 18.6–156.8 % higher than that of SCI and SMI. Partial least-squares path modeling identified SPI as a direct influence on SMI and SCI, making it the largest driver indirectly improving SQI and maize yield in Mollisols. Therefore, SIT treatment is a highly effective soil management practice for improving soil quality and crop yields in the Mollisols region. Our study provides guidance for enhancing soil environmental quality and designing sustainable agricultural policies in the Mollisols region and other arable soils.
莫利土壤中长期耕作和秸秆掺入条件下土壤质量和玉米产量的驱动因素
适当的耕作结合秸秆管理对于保持农业生态系统的可持续性和作物产量至关重要,尤其是在强化农业活动的情况下。然而,结合秸秆还田的最佳耕作深度仍不明确。为了解决这个问题,我们于 2011 年在莫利土壤中进行了一项田间试验,共采用了五种处理:常规耕作(CT,耕作深度 20 厘米)、免耕结合秸秆还田(SNT)、常规耕作结合秸秆还田(SCT)、反转耕作结合秸秆还田(SIT,耕作深度 35 厘米)和底土耕作结合秸秆还田(SST,秸秆深度 20-35 厘米)。我们通过评估土壤物理属性指数(SPI)、土壤化学属性指数(SCI)和土壤微生物属性指数(SMI)与土壤质量指数(SQI)和作物产量的关系,评估了这些处理对土壤质量的影响。我们的研究结果表明,耕作结合秸秆还田能显著改善土壤性质。与 CT、SNT 和 SST 处理相比,SCT 和 SIT 处理使 0-20 厘米土层的 SPI 和 SQI 提高了 43.9%-845.4%。与 CT、SNT 和 SCT 相比,SIT 和 SST 处理提高了 20-35 厘米土层的 SPI、SCI 和 SMI,增幅为 69.2-307.7 %。在所有处理中,SIT 处理使 0-35 厘米土层的 SPI、SCI 和 SMI 最高。此外,与其他处理相比,SIT 处理的 SQI 和玉米产量分别高出 11.7-140.5 % 和 15.6-78.0 %。线性回归分析表明,所有土层的 SPI 对玉米产量都有显著影响,而 SCI 和 SMI 仅在 20-35 厘米土层与产量有显著相关性(P < 0.05)。SPI 对玉米产量的贡献比 SCI 和 SMI 高 18.6-156.8 %。偏最小二乘路径模型确定 SPI 对 SMI 和 SCI 有直接影响,使其成为间接提高 SQI 和 Mollisols 玉米产量的最大驱动力。因此,SIT 处理是提高土壤质量和作物产量的一种非常有效的土壤管理方法。我们的研究为提高莫里索地区和其他耕地的土壤环境质量和设计可持续农业政策提供了指导。
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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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