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According to Table 1, the plant nitrogen accumulation showed significant differences among treatments and years, as well as significant interaction effects between treatments and years. Nitrogen accumulation in the tobacco leaves showed significant differences among treatments, but no significant differences were observed between years and the interaction of years and treatments. In 2021, the leaf and plant nitrogen accumulation in the biochar treatments (T1−T4) was significantly higher than that in the T0 treatment, ranging from 21.45% to 64.95% and 13.91% to 48.88%, respectively. Regarding plant nitrogen accumulation, the rankings among the treatments for both years were T1 > T2 > T3 > T4, with T0 being the lowest. However, in terms of leaf nitrogen accumulation, there was no significant difference between T1 and T2 in a two-year comparison, while T1 and T3 in 2021 revealed the opposite, but no significant difference was observed in 2022.
Table 1. Effect of reduced nitrogen fertilizer application combined with biochar on nitrogen accumulation and utilization in flue-cured tobacco.
Year Treatment Leaf (kg·ha−1) Stem (kg·ha−1) Root (kg·ha−1) Whole plant (kg·ha−1) Nitrogen uptake efficiency (%) Nitrogen harvest index 2021 N0 20.98d 9.76d 9.12c 39.86f − − T0 34.56c 18.46c 21.04b 74.07e 26.83c 0.47c T1 55.80a 25.60a 29.76a 111.16a 55.93a 0.50b T2 56.17a 24.76a 23.18ab 104.06b 55.95a 0.54a T3 49.03b 24.31a 22.39b 95.73c 54.78a 0.51ab T4 42.80b 21.48b 20.78b 85.06d 50.64b 0.50b 2022 N0 19.21d 5.99c 6.04e 31.23e T0 32.68c 19.15ab 17.43c 69.26d 29.83d 0.47c T1 48.32a 23.20a 22.09a 93.61a 49.71a 0.52b T2 46.79a 20.35b 19.20b 86.33b 48.02a 0.54a T3 44.87a 18.66ab 17.56bc 81.10c 48.89a 0.55a T4 36.29b 18.10b 15.11d 69.49d 42.87c 0.52b Year(Y) ** ** ** ** ** ** Treatment (T) ** ** ** ** ** ** Y × T NS ** NS ** ** NS Note: Nitrogen uptake efficiency for the T0, T1, T2, T3, and T4 treatments was calculated using N0 as the control. Different lowercase letters in the same column of the table indicate the difference between treatments at 0.05 level in the same year (p < 0.05), the same was applied in Table 2 . '*' indicates a significant difference at 0.05 level; '**' indicates a highly significant difference at 0.01 level; NS indicates no significant differences at 0.05 level. Nitrogen accumulation in leaves includes nitrogen in the topped leaves. The nitrogen uptake efficiency of tobacco plants in the biochar treatments was significantly higher than that of the T0 treatment during the two-year period, with an increase of 23.81% to 29.12% in 2021, reaching as high as 55.95%. In 2022, the increase in nitrogen uptake efficiency decreased to a range of 13.04% to 19.88%, with the most significant decrease observed in the T4 treatment. There was no significant difference in nitrogen uptake efficiency between the T2 and T3 treatments among the nitrogen reduction treatments during the two-year period. Further analysis of the nitrogen harvest index of tobacco plants showed that the biochar treatments had significantly higher values than the T0 treatment during the two-year period, with increases ranging from 7.79% to 15.83% and 10.64% to 17.02%, respectively. There was no significant difference between the T2 and T3 treatments in terms of nitrogen harvest index. In 2022, the T2 and T3 treatments were significantly higher than the T1 treatment, accounting for 3.85% and 5.78%, respectively.
Effect of reduced nitrogen fertilizer application combined with biochar on nitrogen content of different forms and physicochemical properties in flue-cured tobacco cultivated soils
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As shown in Fig. 1, the highest values of alkali-hydrolyzable nitrogen, nitrate nitrogen, and ammonium nitrogen in the soil occur during the vigorous growing period. Over the course of two years, the biochar treatments significantly increased the nitrate nitrogen content in the soil during the vigorous growing period while significantly reducing the ammonium nitrogen content. The different forms of nitrogen in the soil exhibited a significant decrease with reduced nitrogen application rates. Furthermore, the biochar treatments significantly reduced the ammonium nitrogen content in the soil during the harvest period, and the alkali-hydrolyzable nitrogen content in the soil decreased significantly with reduced nitrogen application rates.
Figure 1.
Effect of reduced nitrogen fertilizer application combined with biochar on nitrogen content of different forms in flue-cured tobacco cultivated soils.
Table 2 revealed that during the two-year period, the biochar treatments significantly increased soil pH, organic matter content, porosity, and field water-holding capacity compared to the T0 treatment. Besides, these treatments significantly reduced soil bulk density, implying that biochar amendment is crucial in regulating soil pH values, organic matter content, soil porosity, and moisture capacity in acidic soil.
Table 2. Effect of reduced nitrogen fertilizer application combined with biochar on physicochemical properties in flue-cured tobacco cultivated soils.
Year Treatment pH Soil organic matter
(g·kg−1)Bulk density
(g·cm−3)Porosity
(%)Field moisture capacity
(%)2021 T0 4.96c 29.07b 1.34a 49.44b 33.70b T1 5.16a 31.98a 1.14b 57.19a 49.00a T2 5.18a 31.32a 1.12b 57.99a 47.33a T3 5.16a 31.48a 1.13b 57.34a 46.89a T4 5.15a 31.40a 1.12b 57.74a 44.23a 2022 T0 4.98c 28.89b 1.37a 48.43b 34.57b T1 5.15a 31.76a 1.18b 55.45a 47.00a T2 5.14a 31.93a 1.17b 55.98a 47.66a T3 5.17a 31.41a 1.14b 56.79a 46.56a T4 5.17a 31.15a 1.13b 57.22a 43.90a Difference of nitrogen cycle function gene abundance in rhizosphere soil
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The treatment with biochar significantly increased the abundance of the ammonia oxidation gene AOA-amoA and denitrification gene narG compared to the T0 treatment, with an improvement range of 14.72% to 19.63% and 26.37% to 41.76%, respectively. The abundance of the denitrification gene norB was significantly lower than the T0 treatment, with a decreased range of 33.14% to 80.63%. As the nitrogen application decreased, the abundance of nitrogen cycling functional genes showed varying degrees of decrease between the denitrification treatments. However, the T2 and T3 treatments still significantly increased the abundance of the nitrification, nitrogen fixation, ammoniation, organic nitrogen synthesis genes, including nxrA, nifH, UreC, and gdh, with improvement ranges of 96.31% to 166.81%, 17.60% to 131.71%, 16.88% to 118.18%, and 24.04% to 74.22%, respectively (Fig. 2 & Supplemental Table S2).
Figure 2.
Difference of nitrogen cycle function gene abundance among different treatments and control.
Effects of nitrogen cycle functional gene abundance on nitrogen metabolism characteristics of flue-cured tobacco
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Random forest model analysis results (Fig. 3) showed that nitrogen cycling functional genes have a significant impact on the nitrogen uptake efficiency of tobacco, with a total explanatory rate of 90.08% (p < 0.001). Among them, nitrogen fixation, organic nitrogen synthesis, ammonification, and denitrification genes, including nifH, gdh, UreC, and nirS were significantly correlated (p < 0.01) with nitrogen uptake efficiency, respectively. The nitrification and denitrification genes, including nxrA and nosZ were significantly correlated (p < 0.05) with nitrogen uptake efficiency, respectively.
Figure 3.
Random forest model predicts the relevance of nitrogen cycle functional genes on nitrogen uptake efficiency in flue-cured tobacco. Note: The precision importance measures were calculated for each tree in a random forest and averaged over the entire forest. The percentage increase in the mean squared error (MSE) of the variables was used to estimate the importance of these predictors.
Regression analysis was conducted on tobacco plants' nitrogen accumulation and nitrogen uptake efficiency in 2021 and 2022 with different forms of nitrogen content during the vigorous growing period, as shown in Fig. 4. The nitrogen accumulation and nitrogen uptake efficiency of the whole plant showed a linear growth relationship with the nitrate nitrogen content, revealing slopes of 0.346 and 0.229, respectively (p < 0.001). The plant nitrogen accumulation also showed a stable, increasing trend with the alkali-hydrolyzable nitrogen content, exhibiting a slope of 0.43 (p < 0.01). Whereas the ammonium nitrogen content showed a negative growth trend with the nitrogen uptake efficiency (p < 0.01).
Figure 4.
Regression analysis on different forms of nitrogen content and nitrogen accumulation, absorption and utilization efficiency in soil.
The Mantel test results showed a highly significant positive correlation (p < 0.001) between the alkali-hydrolyzable nitrogen and nitrate nitrogen content and the abundance of UreC, nxrA, and nifH. Additionally, there was a significant negative correlation between the nitrate nitrogen content and the abundance of the norB gene (p < 0.05). A highly significant positive correlation was also observed (p < 0.001) between the ammonium nitrogen content and the abundance of the norB and AOB-amoA, while there was a significant negative correlation (p < 0.001) between the ammonium nitrogen content and the abundance of the AOA-amoA (Fig. 5).
Figure 5.
Mantel test of different forms of nitrogen content and nitrogen cycle function gene abundance.
Further stepwise multiple regression analysis indicates that organic matter was the main factor influencing the abundance of most nitrogen cycling functional genes (AOB-amoA, gdh, nxrA, and nifH) in the rhizosphere soil (Table 3). Additionally, pH was an important soil physicochemical property influencing the ammonia oxidation gene AOA-amoA and denitrification gene norB. Whereas soil bulk density and porosity were the main factors influencing the nitrification gene nxrA.
Table 3. Soil physicochemical factors significantly related to the abundance of nitrogen cycle functional genes (screened by stepwise multiple regression).
Dependent variable Explanatory variable R2 P-value AOA-amoA Bulk density, pH 0.78 <0.01 AOB-amoA Organic matter 0.75 <0.01 narG pH, field moisture capacity 0.85 <0.01 nirS NA norB pH 0.68 <0.01 nosZ NA gdh Organic matter 0.41 <0.05 UreC NA nxrA Organic matter, bulk density, porosity 0.56 <0.01 nifH Organic matter 0.47 <0.01 Only explanatory variables with p < 0.05 are shown in the table. NA represents no best fit model, and R2 represents the proportion of variance explained by the model. -
The data in this paper are free from any conflict of interest. The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Cite this article
Zhang B, Tang L, Wang Y, Yang M, Pan R, et al. 2023. Effect of reduced nitrogen fertilizer application combined with biochar on nitrogen utilization of flue-cured tobacco and its association with functional gene expressions of the nitrogen cycle in rhizosphere soil. Technology in Agronomy 3:12 doi: 10.48130/TIA-2023-0012
Effect of reduced nitrogen fertilizer application combined with biochar on nitrogen utilization of flue-cured tobacco and its association with functional gene expressions of the nitrogen cycle in rhizosphere soil
- Received: 21 July 2023
- Accepted: 05 October 2023
- Published online: 31 October 2023
Abstract: Studies have shed light on the impact of the co-application of inorganic fertilizer and biochar on soil fertility, health, and crop growth performance and yield. However, insufficient literature exists regarding the appropriate nitrogen reduction ratio for enhancing soil quality and maximizing crop nitrogen utilization following the application of biochar in a continuous tobacco-rice rotation field. Here, we explored nitrogen absorption and utilization patterns of tobacco crops, as well as the response characteristics of functional genes related to soil nitrogen cycling subjected to the interaction of reduced nitrogen utilization ratios following biochar application in a long-term tobacco-rice rotation field. The results showed that the treatments with 10% (T2) and 20% (T3) nitrogen reduction combined with biochar (30 t∙ha−1) promoted nitrogen utilization efficiency and nitrogen harvest index of tobacco plants. In the second year of the experiment, T2 and T3 significantly increased the nitrogen harvest index by 3.85% and 5.78% compared with the conventional nitrogen application treatment (T1), respectively. We believe that the increase in abundance of nitrification, nitrogen fixation, and ammonification genes, including nxrA, nifH, and UreC in the rhizosphere soil, precipitate the high nitrogen absorption and utilization efficiency in the biochar combined with nitrogen reduction treatments, respectively. This suggests that biochar application at a rate of 30 t·ha−1, nitrogen fertilizer usage can be reduced by 10% and 20% to achieve optimal and sustainable tobacco production.
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Key words:
- Flue-cured tobacco /
- Biochar /
- Nitrogen reduction /
- Nitrogen metabolism /
- Nitrogen cycle function gene