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Research Article

Effects of different long-term fertilization on rhizosphere soil nitrogen mineralization and microbial community composition under the double-cropping rice field

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Pages 1-16 | Received 19 Jul 2023, Accepted 03 Mar 2024, Published online: 07 Mar 2024

Figures & data

Table 1. Effects of different long-term fertilizer treatments on rhizosphere soil N transformation rates in the double-cropping rice fields.

Figure 1. Effects of different long-term fertilizer treatments on rhizosphere soil enzyme activities in a double-cropping rice field (a) was soil urease; (b) was soil protease; (c) was soil β-glucosaminidase; (d) was soil arginase.

IF: inorganic fertilizer; RF: rice straw and inorganic fertilizer; OM: 30% organic manure and 70% inorganic fertilizer; CK: without any fertilizer input as a control.
Different lowercase letters indicated significant differences at p < 0.05 among different fertilizer treatments.
Figure 1. Effects of different long-term fertilizer treatments on rhizosphere soil enzyme activities in a double-cropping rice field (a) was soil urease; (b) was soil protease; (c) was soil β-glucosaminidase; (d) was soil arginase.

Figure 2. Effects of different long-term fertilizer treatments on rhizosphere soil relative abundances of Proteobacteria, Acidobacteria and Actinobacteria in the double-cropping rice fields (a) was Proteobacteria; (b) was Acidobacteria; (c) was Actinobacteria.

IF: inorganic fertilizer; RF: rice straw and inorganic fertilizer; OM: 30% organic manure and 70% inorganic fertilizer; CK: without any fertilizer input as a control.
Different lowercase letters indicated significant differences at p < 0.05 among different fertilizer treatments.
Figure 2. Effects of different long-term fertilizer treatments on rhizosphere soil relative abundances of Proteobacteria, Acidobacteria and Actinobacteria in the double-cropping rice fields (a) was Proteobacteria; (b) was Acidobacteria; (c) was Actinobacteria.

Table 2. Effects of different long-term fertilizer treatments on abundance of sub, npr, chiA and ureC in rhizosphere soil under the double-cropping rice system.

Figure 3. Effects of different long-term fertilizer treatments on alpha diversity of rhizosphere soil bacterial community in the double-cropping rice fields (a) was Chao 1; (b) was observed OTUs; (c) was Shannon.

IF: inorganic fertilizer; RF: rice straw and inorganic fertilizer; OM: 30% organic manure and 70% inorganic fertilizer; CK: without any fertilizer input as a control.
Different lowercase letters indicated significant differences at p < 0.05 among different fertilizer treatments.
Figure 3. Effects of different long-term fertilizer treatments on alpha diversity of rhizosphere soil bacterial community in the double-cropping rice fields (a) was Chao 1; (b) was observed OTUs; (c) was Shannon.

Figure 4. Nonmetric multidimensional scaling (NMDS) ordination (stress = 0.1) of the weighted UniFrac distance for rhizosphere soil bacterial community with different long-term fertilizer treatments.

IF: inorganic fertilizer; RF: rice straw and inorganic fertilizer; OM: 30% organic manure and 70% inorganic fertilizer; CK: without any fertilizer input as a control.
Figure 4. Nonmetric multidimensional scaling (NMDS) ordination (stress = 0.1) of the weighted UniFrac distance for rhizosphere soil bacterial community with different long-term fertilizer treatments.

Figure 5. Log2-fold change in relative abundance of OTUs compared with those of the control treatment in rhizosphere soil.

IF: inorganic fertilizer; RF: rice straw and inorganic fertilizer; OM: 30% organic manure and 70% inorganic fertilizer.
Each circle represents a single OTU with an adjusted p value of < 0.1.
Figure 5. Log2-fold change in relative abundance of OTUs compared with those of the control treatment in rhizosphere soil.

Figure 6. Effects of different long-term fertilizer treatments on relative abundance of rhizosphere soil bacterial community in the double-cropping rice fields (a) relative abundances of the dominant phyla (>1%) for bacterial ureC. (b) Nonmetric multidimensional scaling (NMDS) ordination (stress = 0.09) of the weighted UniFrac distance for bacterial ureC under four fertilizer treatments. (c) Relative abundances of the dominant phyla (>1%) for bacterial chiA. (d) Nonmetric multidimensional scaling (NMDS) ordination (stress = 0.05) of the weighted UniFrac distance for bacterial chiA under four fertilizer treatments.

IF: inorganic fertilizer; RF: rice straw and inorganic fertilizer; OM: 30% organic manure and 70% inorganic fertilizer; CK: without any fertilizer input as a control.
Figure 6. Effects of different long-term fertilizer treatments on relative abundance of rhizosphere soil bacterial community in the double-cropping rice fields (a) relative abundances of the dominant phyla (>1%) for bacterial ureC. (b) Nonmetric multidimensional scaling (NMDS) ordination (stress = 0.09) of the weighted UniFrac distance for bacterial ureC under four fertilizer treatments. (c) Relative abundances of the dominant phyla (>1%) for bacterial chiA. (d) Nonmetric multidimensional scaling (NMDS) ordination (stress = 0.05) of the weighted UniFrac distance for bacterial chiA under four fertilizer treatments.

Figure 7. Maximum-likelihood tree of top 50 most abundant partial ureC OTUs.

Different branches indicated different phyla of ureC.
Figure 7. Maximum-likelihood tree of top 50 most abundant partial ureC OTUs.

Figure 8. Maximum-likelihood tree of top 50 most abundant partial chiA OTUs.

Different branches indicated different phyla of chiA.
Figure 8. Maximum-likelihood tree of top 50 most abundant partial chiA OTUs.