Optimizing soybean production and emission reduction through biogas slurry substitution and straw incorporation: A five-year field study in northeast China's black soil region
Pingan Zhang , Aizheng Yang , Xiaofang Wang , Lihong Wang , Yan Sha , Mo Li
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引用次数: 0
Abstract
To address the dual challenges of enhancing soybean yield and mitigating greenhouse gas (GHG) emissions in sustainable agriculture, this five-year field study (2020–2024) in Northeast China's black soil region evaluated the synergistic effects of biogas slurry substitution (0–100 % nitrogen replacement) and straw incorporation methods (deep ploughing vs. surface covering) on soil carbon-nitrogen dynamics, GHG emissions, and agronomic performance. Results demonstrated that a 75 % biogas slurry substitution (R3) combined with deep ploughing maximized soybean yield (4.24–18.36 % increase over conventional nitrogen fertilization) while significantly improving soil organic carbon (SOC, +10.52–25.72 %), dissolved organic carbon (DOC, +1.36–5.58 %), and nitrogen availability (NO3--N: +11.47–25.27 %; NH4+-N: +10.04–22.74 %). Crucially, deep ploughing with R3 reduced GHG emissions by 4.29–18.63 % (CO2, N2O, CH4), global warming potential (GWP) by 8.96–17.63 %, and emission intensity (GHGI) by 9.26–16.29 % compared to surface covering. Structural equation modeling revealed that elevated SOC and NO3--N mediated the trade-off between yield enhancement and emission reduction. These findings highlight that integrating 75 % biogas slurry substitution with deep straw incorporation optimizes the carbon-nitrogen cycle, achieving synergistic yield growth (13.31 % maximum), carbon sequestration (SOC, +25.72 %), and GHG mitigation (CH4, −18.63 %), providing a transformative strategy for climate-resilient soybean production in temperate agroecosystems.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.