Liu Wei-Fan, Wang Xiao-Gang, Liu Ji-Li, Wu Na, Wan Meng-Hu, Ma Feng-Lan, Liu Hao
College of Agriculture, Ningxia University, Yinchuan 750021, China.
College of Ecology and Environment, Ningxia University, Yinchuan 750021, China.
Huan Jing Ke Xue. 2025 Mar 8;46(3):1905-1914. doi: 10.13227/j.hjkx.202404264.
This study investigates the impact of biochar-based fertilizer on soil environmental factors and microbial communities to address how biochar-based fertilizer can improve soil conditions in arid regions and promote sustainable agricultural development. To achieve these goals, maize "Xianyu 335" was selected as the test variety and a random block design was adopted to set up five treatments: CK (conventional fertilizer at 450 kg·hm), T1 (biochar-based fertilizer at 1 125 kg·hm), T2 (biochar-based fertilizer at 1 013 kg·hm), T3 (biochar-based fertilizer at 900 kg·hm), and T4 (biochar-based fertilizer at 788 kg·hm). Soil samples were collected from mature corn fields and analyzed for changes in soil physicochemical properties, soil enzyme activities, and microbial diversity under the different biochar-based fertilizer treatments. The results showed that: ① Compared with that using chemical fertilizer alone, the application of biochar-based fertilizer significantly reduced the soil bulk density, increased the soil porosity and field water capacity, and increased the soil nutrients and enzyme activities. The contents of organic carbon, total nitrogen, and total phosphorus in the T1 and T2 treatments were significantly increased by 13.68%-32.63%, 25.00%-26.79%, and 35.00%-47.50%, respectively. The activities of urease, sucrase, and alkaline phosphatase were significantly increased by 49.04%-91.35%, 48.88%-58.71%, and 20.69%-31.03%, respectively. ② The T3 and T4 treatments reduced the Chao1, Shannon, Simpson, Faith_pd, and Pielou_e indices of microorganisms. The dominant bacteria of each treatment were Proteobacteria, Actinobacteria, and Acidobacteria, with relative abundances ranging from 71.50%-86.66%. The T1 and T2 treatments significantly increased the relative abundance of Proteobacteria and Actinomycetes and decreased the relative abundance of Acidobacteria. No significant difference was observed in the relative abundance of amino acid metabolism, carbohydrate metabolism, energy metabolism, genetic information processing, and metabolic function, all of which were between 18.12% and 21.34%. ③ Correlation analysis showed that in addition to soil bulk density, soil physical properties, soil nutrients, and soil enzymes were significantly positively correlated with each other, and significant differences were present in the relationship between different dominant bacteria and soil environmental factors. The six functional pathways of microorganisms were significantly positively correlated with soil nutrients. PLS-SEM analysis showed that biochar-based fertilizer directly or indirectly affected the microbial community by regulating soil physical properties, soil nutrients, and soil enzymes, and soil nutrients were the main driving parameters of soil microbial community succession. Finally, PCA analysis showed that the comprehensive fertility of soil was T2>T1>T3>CK>T4. Overall, biochar-based fertilizer improved the physical, chemical, and biological properties of soil in arid regions, thereby enhancing soil fertility. A biochar-based fertilizer application rate of 1 013-1 125 kg·hm is recommended for promoting corn cultivation in arid areas.
本研究调查了生物炭基肥料对土壤环境因子和微生物群落的影响,以探讨生物炭基肥料如何改善干旱地区的土壤条件并促进农业可持续发展。为实现这些目标,选用玉米品种“先玉335”作为试验品种,并采用随机区组设计设置5个处理:CK(常规肥料450 kg·hm)、T1(生物炭基肥料1 125 kg·hm)、T2(生物炭基肥料1 013 kg·hm)、T3(生物炭基肥料900 kg·hm)和T4(生物炭基肥料788 kg·hm)。从成熟玉米田采集土壤样品,分析不同生物炭基肥料处理下土壤理化性质、土壤酶活性和微生物多样性的变化。结果表明:①与单施化肥相比,施用生物炭基肥料显著降低了土壤容重,增加了土壤孔隙度和田间持水量,提高了土壤养分和酶活性。T1和T2处理的有机碳、全氮和全磷含量分别显著增加了13.68% - 32.63%、25.00% - 26.79%和35.00% - 47.50%。脲酶、蔗糖酶和碱性磷酸酶活性分别显著增加了49.04% - 91.35%、48.88% - 58.71%和20.69% - 31.03%。②T3和T4处理降低了微生物的Chao1、Shannon、Simpson、Faith_pd和Pielou_e指数。各处理的优势细菌为变形菌门、放线菌门和酸杆菌门,相对丰度为71.50% - 86.66%。T1和T2处理显著增加了变形菌门和放线菌的相对丰度,降低了酸杆菌门的相对丰度。氨基酸代谢、碳水化合物代谢、能量代谢、遗传信息处理和代谢功能的相对丰度无显著差异,均在18.12%至21.34%之间。③相关性分析表明,除土壤容重外,土壤物理性质、土壤养分和土壤酶之间均呈显著正相关,不同优势细菌与土壤环境因子之间的关系存在显著差异。微生物的6条功能途径与土壤养分呈显著正相关。偏最小二乘结构方程模型(PLS - SEM)分析表明,生物炭基肥料通过调节土壤物理性质、土壤养分和土壤酶直接或间接影响微生物群落,土壤养分是土壤微生物群落演替的主要驱动参数。最后,主成分分析(PCA)表明土壤综合肥力为T2>T1>T3>CK>T4。总体而言,生物炭基肥料改善了干旱地区土壤的物理、化学和生物学性质,从而提高了土壤肥力。建议在干旱地区推广玉米种植时,生物炭基肥料的施用量为1 013 - 1 125 kg·hm。