Enhancing the coupling coordination of soil–crop systems by optimising soil properties and crop production via subsoiling

Jingyi Shao, Ling Liu, Jichao Cui, Hong Yang, Yecheng Zhang, Ruxin Li, Yi Lv, Yifei Ma, Qin Fang, Shengkai Sun, Siyu Chen, Huifang Han
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Abstract

Subsoiling is a well-known practice for improving soil structure, increasing soil nutrient content and enhancing crop growth. However, studies applying the coupling coordination analysis (CCA) model to reflect the coupling coordination between soil properties and crop production via subsoiling are still scarce. This study used the CCA to analyse the coupling coordination between soil properties and yield based on a long-term tillage positioning experiment. Tillage treatments included subsoiling (SS35 and SS40—subsoiling shovel) and rotary tillage (RT15—harrow blade, control). Soil pore structure was analysed using X-ray computed tomography and mercury injection tests. Results showed that SS35 and SS40 increased the macropore area by 82.0 %–130.7 % and the cumulative pore volume by 47.8 %–62.1 % in the 20–40 cm soil layer compared to RT15. This led to a 1.3 %–1.8 % increase in soil macro-aggregates, 9.0 %–14.5 % increase in mean weight diameter and 6.9 %–12.1 % increase in geometric mean diameter in case of SS35 and SS40 compared to RT15. These results indicated that subsoiling significantly enhanced the pore characteristics and aggregate stability in the 20–40 cm soil layer. The impact of SS40 on soil pore properties and aggregate stability surpassed that of SS35. As a result, SS35 and SS40 significantly increased carbon sequestration by 2.4 %–14.5 % and maize yield by 8.9 %–11.9 % compared to RT15. The CCA model analysis showed that SS35 and SS40 increased the coupling coordination (D) between soil properties and crop production compared to RT15, especially in the 30–40 cm soil layer. The D value was 0.617–0.899 for SS35 and 0.631–0.817 for SS40. This study provides new insights into quantifying the role of tillage for multi-indicators in the soil–crop system. The findings will guide policymakers in formulating for more sustainable tillage to improve crop production and ensure carbon mitigation.
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通过沉土优化土壤性质和作物生产,加强土壤-作物系统的耦合协调
深埋土壤是一种众所周知的改善土壤结构、增加土壤养分含量和促进作物生长的做法。然而,应用耦合协调分析(CCA)模型来反映土壤性质与作物生产之间通过沉土进行耦合协调的研究仍然很少。在长期耕作定位试验的基础上,利用CCA分析了土壤性状与产量之间的耦合协调性。耕作处理包括深耕(SS35和ss40 -深耕铲)和旋耕法(rt15 -耙片,对照)。采用x射线计算机断层扫描和压汞试验对土壤孔隙结构进行了分析。结果表明:与RT15相比,SS35和SS40使20 ~ 40 cm土层大孔面积增加了82.0 % ~ 130.7 %,累积孔体积增加了47.8 % ~ 62.1 %;结果表明,与RT15相比,SS35和SS40的土壤宏观团聚体增加了1.3 % ~ 1.8 %,平均重径增加了9.0 % ~ 14.5 %,几何平均径增加了6.9 % ~ 12.1 %。结果表明,深埋显著提高了20 ~ 40 cm土层的孔隙特征和团聚体稳定性。SS40对土壤孔隙特性和团聚体稳定性的影响大于SS35。结果表明,与RT15相比,SS35和SS40的固碳量显著提高了2.4 % ~ 14.5 %,玉米产量显著提高了8.9 % ~ 11.9 %。CCA模型分析表明,与RT15相比,SS35和SS40增加了土壤性质与作物生产之间的耦合协调(D),特别是在30-40 cm土层。SS35的D值为0.617 ~ 0.899,SS40的D值为0.631 ~ 0.817。该研究为量化耕作在土壤-作物系统中多指标的作用提供了新的见解。这些发现将指导决策者制定更可持续的耕作方式,以提高作物产量并确保碳减排。
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