肥料
土壤肥力
肥料
农业生态系统
农学
土壤碳
石灰
作物产量
环境科学
土壤水分
化学
动物科学
生物
生态学
农业
土壤科学
古生物学
作者
Minghui Cao,Yan Duan,Minghao Li,Caiguo Tang,Wenjie Kan,Jiangye Li,Hui-lan ZHANG,Wenqin Zhong,Lifang Wu
标识
DOI:10.1016/j.jia.2023.05.040
摘要
Synthetic nitrogen (N) fertilizer has made a great contribution to the improvement of soil fertility and productivity, but excessive application of synthetic N fertilizer may cause agroecosystem risks, such as soil acidification, groundwater contamination and biodiversity reduction. Meanwhile, organic substitution has received increasing attention for its ecologically and environmentally friendly and productivity benefits. However, the linkages between manure substitution, crop yield and the underlying microbial mechanisms remain uncertain. To bridge this gap, a three-year field experiment was conducted with five fertilization regimes: i) Control, no fertilizer; ii) CF, no manure substitution; iii) CF1/2M1/2, 50% manure substitution; iv) CF1/4M3/4, 75% manure substitution; and v) M, 100% manure substitution. All fertilization treatments were designed to have equal N input. Our results showed that all manure substituted treatments achieved high soil fertility indexes (SFI) and productivities by increasing the soil organic carbon (SOC), total N (TN) and available phosphorus (AP) concentrations, and by altering the bacterial community diversity and composition compared with CF. SOC, AP, and the soil C:N ratio were mainly responsible for microbial community variations. The co-occurrence network revealed that SOC and AP had strong positive associations with Rhodospirillales and Burkholderiales, while TN and C:N ratio had positive and negative associations with Micromonosporaceae, respectively. These specific taxa are implicated in soil macroelement turnover. Random forest analysis predicted that both biotic (bacterial composition and Micromonosporaceae) and abiotic (AP, SOC, SFI, and TN) factors had significant effects on crop yield. The present work strengthens our understanding of the effects of manure substitution on crop yield and provides theoretical support for optimizing fertilization strategies.
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