The extended and unscientific use of chemical fertilizers has significantly diminished soil microbial activity. A long-term field trial spanning for 12 years was conducted to assess soil fertility and microbial activity under different fertilization strategies. A soil column system was established, incorporating nine types of conventional chemical fertilizers across three concentration gradients to simulate the effects of consistent and intensive application commonly seen in agricultural practices. High-throughput sequencing and Biolog technology were employed to examine the soil structure, function, and metabolic gene profiles in microbes. Throughout the period of consistent fertilization, the annual yield of tobacco leaves showed a steady decline. However, the use of organic and bio-organic fertilizers has proven to be remarkably effective, reversing this drop in productivity by between 8.88 and 13.25 percentage points. In the soil column fertilization simulation system, the consistent use of nine different chemical fertilizers led to significant variations in the diversity of Actinobacteria and Proteobacteria. After an extended period of high-frequency application with a 50 % reduction in urea dosage, the Shannon index exhibited a significant (p < 0.05) increase of 1.77 % compared to its initial level. Notably, monoammonium phosphate and compound fertilizers markedly inhibited the abundance of Proteobacteria, whereas potassium nitrate displayed a promoting effect. Additionally, the expression of amino acid and nucleotide transport and metabolism genes in the calcium-magnesium phosphate fertilizer, when applied at the standard dosage, was found to upregulated. In conclusion, the prolonged application of various chemical fertilizers negatively impacts soil microbial activity, with a more pronounced effect observed from straight chemical fertilizers compared to compound fertilizers.
Keywords:
long-term localized trial; fertilization; column fertilization simulation system; soil microbial diversity; co-correlation networks
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