Scientia Agricultura Sinica ›› 2026, Vol. 59 ›› Issue (8): 1712-1726.doi: 10.3864/j.issn.0578-1752.2026.08.009

• SOIL & FERTILIZER·WATER-SAVING IRRIGATION·AGROECOLOGY & ENVIRONMENT • Previous Articles     Next Articles

Effects of Different Substitution Rates of Organic Fertilizers on Soil Multifunctionality and Its Microbial Driving Mechanisms

WANG CaiYu1,2(), LIU XiaoLi1, LI WenGuang1,3,*(), YANG WenPing4, YANG ZhenPing1,*(), GAO ZhiQiang1   

  1. 1 College of Agriculture, Shanxi Agricultural University/Ministerial and Provincial Co-Innovation Centre for Endemic Crops Production with High-Quality and Efficiency in Loess Plateau, Taigu 030801, Shanxi
    2 College of Environmental Science and Engineering, Tianjin University, Tianjin 300072
    3 Institute of Ecological Environment Industry Technology, Shanxi Agricultural University, Taiyuan 030801
    4 College of Life Sciences, North China University of Science and Technology, Tangshan 063210, Hebei
  • Received:2025-07-09 Accepted:2026-01-29 Online:2026-04-21 Published:2026-04-21
  • Contact: LI WenGuang, YANG ZhenPing

Abstract:

【Objective】The aim of this study was to investigate the effects of varying substitution proportions of organic fertilizers replacing chemical fertilizers on dryland wheat productivity, agronomic efficiency of nitrogen (N) and phosphorus (P) fertilizers, soil multifunctionality, and microbial community structure. It focused on elucidating the microbial mechanisms underlying soil multifunctionality-driven crop growth, to provide a scientific basis for optimizing fertilization practices, promoting soil health, and advancing sustainable agricultural development in the Loess Plateau.【Method】The dryland wheat fertilization experiment was conducted from 2019 to 2022, with six treatments, including no fertilizer (CK), chemical fertilizer alone (CF), and substitution of chemical fertilizer N with 80%, 60%, 40%, and 20% organic fertilizer N (MN: M20N80, M40N60, M60N40, M80N20). Macrogenome sequencing technology was used to obtain 62 functional genes related to carbon, nitrogen, phosphorus, and sulfur cycling, and to analyze the differences in community composition and diversity, exploring how microbial communities in dryland farmland ecosystems affect wheat growth through soil multifunctionality.【Result】The yield, N and P fertilizer agronomic efficiency, and soil multifunctionality under MN were significantly higher than those under CK and CF, with M40N60 showing the best performance. Compared with CK, M40N60 had the greatest improvement in average yield and soil multifunctionality, reaching 60.1% and 191.6%. The results of microbial community analysis showed that fertilization significantly changed the composition and diversity of bacterial and fungal communities. The dominant bacterial phyla in the bacterial community were Actinobacteria (32.4%), Proteobacteria (31.1%), and Acidobacteria (13.5%). The dominant fungal phyla in the fungal community were Ascomycota (0.6%), Mucoromycota (0.2%), and Basidiomycota (0.1%). The distribution patterns of species richness and the Shannon index were different. The Shannon index showed CK<CF<MN, and it increased and then decreased with the decrease of organic fertilizer substitution proportion; the species richness was CK>CF>MN. The results of modified stochasticity ratio indicated that community assembly of bacterial and fungal communities was dominated by deterministic and stochastic processes, respectively. The correlation results indicated that soil multifunctionality was significantly positively correlated with yield and bacterial Shannon index but had no significant relationship with species richness. After incorporating multiple soil variables into the structural equation, the bacterial Shannon index remained positively correlated with soil multifunctionality, and soil multifunctionality exerts a positive effect on wheat yield. Random forest analysis indicated that the predictive effect of rare bacterial taxa on soil multifunctionality was stronger than that of rich bacterial taxa.【Conclusion】Substitution of chemical fertilizer N with 40% organic fertilizer N (M40N60) could achieve a synergistic improvement in crop productivity and soil health. It was recommended to include it in the recommended fertilization program for dryland agriculture on the Loess Plateau.

Key words: dryland, winter wheat, soil microbiome, soil multifunctionality, organic fertilizer substitution of chemical fertilizer

Table 1

Fertilization details of winter wheat from 2019 to 2022 (kg·hm-2)"

处理
Treatment
有机肥
Organic fertilization
化肥 Chemical fertilization 养分输入总量 Total nutrient input
N P2O5 K2O N P2O5 K2O
CK 0 0 0 0 0 0 0
CF 0 150 90 60 150 90 60
M20N80 1293.2 120 72.0 48.3 150 90 60
M40N60 2586.4 90 54.0 36.7 150 90 60
M60N40 3879.6 60 36.1 25.1 150 90 60
M80N20 5172.8 30 18.1 13.4 150 90 60

Fig. 1

The yield of winter wheat under different treatments from 2019 to 2022 Different lowercase letters indicate significant differences among different treatments. The same as below"

Fig. 2

Effects of different fertilizer treatments on the agronomic efficiency of nitrogen and phosphorus"

Fig. 3

Effects of different fertilizer treatments on soil physicochemical properties and multifunctionality In Figure a, the error bar represents the 95% confidence interval. Error bars not overlapping the zero line indicate statistical significance (P<0.05)"

Fig. 4

The influence of different fertilization treatments on the composition, diversity and stochasticity of soil microbial communities"

Fig. 5

Relationships between soil multifunctionality and wheat yield as well as microbial community properties"

Fig. 6

Direct and indirect effects of soil physicochemical properties and microbial community properties on soil multifunctionality and wheat yield Red and blue arrows indicate positive and negative effects, respectively. Solid lines and dashed lines represent paths which were significant and non-significant by test, respectively. The width of each line is proportional to the strength of its corresponding path coefficient. The numbers on each arrow are the standardized path coefficients. R2 denotes the proportion of variance explained. ***: P≤0.001, **: P≤0.01, *: P≤0.05"

Fig. 7

Contribution of soil properties and microbial species to soil multifunctionality (a: Variance partitioning analysis; b: Random forest analysis)"

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