Next Article in Journal
Expression Profiles of Kidney Mitochondrial Proteome during the Progression of the Unilateral Ureteral Obstruction: Focus on Energy Metabolism Adaptions
Next Article in Special Issue
Genome-Wide Transcriptome Analysis Revealing the Genes Related to Sugar Metabolism in Kernels of Sweet Corn
Previous Article in Journal
Scopoletin Induced Metabolomic Profile Disturbances in Zebrafish Embryos
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Optimized Fertilization Practices Improved Rhizosphere Soil Chemical and Bacterial Properties and Fresh Waxy Maize Yield

Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China
*
Author to whom correspondence should be addressed.
Metabolites 2022, 12(10), 935; https://doi.org/10.3390/metabo12100935
Submission received: 13 September 2022 / Revised: 22 September 2022 / Accepted: 28 September 2022 / Published: 1 October 2022
(This article belongs to the Special Issue Crop Nutrition Metabolism and Cultivation Physiology)

Abstract

:
The interactive mechanism of root and soil for achieving high and stable yield of maize is still unclear. Synchronizing soil nutrient supply with crop requirements by optimizing fertilization is effective cultivation measures to improve maize yield. In this study, field trials were conducted to investigate the dynamic changes of optimized fertilization on chemical and bacterial properties in rhizosphere soil, root physiological properties, and yield of fresh waxy maize. Optimized fertilization practices (one-time application of new compound fertilizer at sowing, three-, and six-leaf stages, denoted as F1, F2, and F3), local traditional fertilization (F4), and no fertilization (F0) were set up in 2-year field experiments at two sites. F3 increased the fresh ear (10.2%) and grain (9.4%) yields relative to F4. Optimized fertilization practices increased the abundance and diversity of rhizosphere soil bacterial communities at R3. The enzymatic activities of oxidoreductase, hydrolase, transferase, and lyase in rhizosphere soil under F3 were higher than those in other treatments at R1 and R3. F3 increased the contents of organic matter and total N in rhizosphere soil, as well as the root activities. These findings provide physiological information from underground on optimized fertilization types and stages in enhancing the yield of fresh waxy maize. One-time application of new compound fertilizer at six-leaf stage increased the abundance and diversity of bacterial, organic matter and total N content in rhizosphere soil, enhanced root activity at post-silking stage, and eventually improved yield of fresh waxy maize in southern China.

1. Introduction

In order to ensure food and ecological security, improve fertilization efficiency, and reduce fertilizer losses, people have placed their hopes on new fertilizers in recent years [1]. At present, new fertilizers are divided into slow-/controlled-release fertilizers, biological fertilizers, commercial organic fertilizers, water-soluble fertilizers, and functional fertilizers [1]. In the last decade, new compound fertilizer was widely used in crop production internationally as substitutes to single-element fertilizers [2,3]. Some new compound fertilizers, such as slow-/controlled-release fertilizers, have advantage in increasing grain yield due to their nutrient release rate consistent with the nutrient demand period of crops [4,5]. However, given the incomplete technology of new fertilizer, nutrient release is greatly affected by environmental factors, such as temperature and soil moisture [6]. The growth period of maize involves high temperature and rainy weather, and the one-off application of fertilizer at the sowing stage can cause the lack of nutrients during the grain-filling stage [5]. Judicious and proper application of fertilizer practices ensure high yield and minimize nutrient losses to the environment and improve the nutrient utilization [7,8]. Different fertilizer application periods have significant effects on maize growth and development [9]. Waxy maize is a special maize with the largest planting area in China, and the development of fresh waxy maize is of great significance to the adjustment of China’s planting industry [10]. The relative comparisons between the optimized and traditional fertilization method on the rhizosphere soil and root variation processes and soil properties remain poorly understood, especially in the fresh maize planting area of southern China with intensive cropping.
In soil organisms, the most abundant and diverse species are bacteria, which play a gigantic role in soil quality and function because they participate in the circulation and decomposition of organic matter and nutrients in soil [11,12]. Fertilization directly provides organic matter and nutrients to the soil and has significant impacts on crop growth and development, which also changes the compositions of soil bacterial communities [13,14,15]. Multiple processes control the soil organic carbon response to N fertilization, and the N sufficiency level can help explain their relative importance [16]. The direct effect of optimized fertilization on microbial activity could exceed the indirect effects of fertilization on the changes in soil nutrient content [17]. The soil texture and fertilization method have significant effects on root length and maize yield [18]. Fertilizer types [19] and fertilization practices [20] also make a difference in yield by influencing maize root traits. Slow-release fertilizer increases maize yield and reduces environmental pollution, especially in soils with less organic matter [5]. Previous studies on wheat and rice have also shown that new compound fertilizers increased the contents of nitrate N and ammonium N in soil [21] and improved N availability and root development [22]. Optimum fertilizer rates increased root length density and active absorption area, which directly promoted the accumulation of photosynthetic products and maize yield [23,24]. Previous research has primarily focused on the one-off application of new fertilizers at the sowing stage, and past studies have shown significant effects on the soil environment and root development, which are factors that influence the maize yield. However, the difference of rhizosphere soil chemical and bacterial properties, root activity, and yield between optimized and traditional fertilization method has rarely been reported in production of fresh waxy maize.
The fresh waxy maize sown in spring grows under special climatic conditions in southern China. The temperature was low at seeding stage and higher combined with more precipitation at the later stage, which resulted in low fertilizer utilization efficiency and made it difficult to meet the nutrient supply at the post-silking stage [6,9]. The traditional fertilization method is to apply common compound fertilizer at sowing and topdressing urea at the jointing stage, which has low utilization due to losses. Previous research has revealed that new compound fertilizer influenced maize yield by affecting soil quality and root physiological properties [14,18,22]. However, whether optimizing the fertilization practices increase fresh waxy maize yield or influence rhizosphere soil chemical and bacterial properties, root activity, and related enzymes activities during the post-silking stage remains unknown. This study aimed to evaluate the optimized fertilization practices in improving the yield of fresh waxy maize, as well as the chemical and bacterial properties of rhizosphere soil and root activity.

2. Materials and Methods

The study was conducted in 2018 and 2019 at Jiangxinsha farm (31°48′ N, 121°05′ E) in Nantong City and Yangzhou University farm (32°30′ N, 119°25′ E) in Yangzhou City, Jiangsu Province, China. Daily precipitation, average air temperature, and sunshine hours during the maize growing period are shown in Figure S1. The experimental soil type was sandy loam. Table S1 provides the basic soil fertility.
The fresh waxy maize hybrid Suyunuo11 widely cultivated in Jiangsu Province, China, was cultivated in this experiment. A new compound fertilizer (N/P2O5/K2O = 27%/9%/9%), which is one type of polyamide acid compound fertilizer (N release longevity was about 2 months at a rate controlled by 25°C water culture method), was used in this study. This compound fertilizer was added to an amino acid polymer biological preparation which had negative charges with strong adsorption. The biological preparation could form amino acid, which acts as a biostimulant after metabolism [25]. Five treatments were set at two sites, including F0 (no fertilization), 3 optimized fertilization practices (F1, F2, and F3), and F4 (control treatment). F1: one-time application of the novel compound fertilizer at sowing date. F2: one-time application of the novel compound fertilizer at three-leaf stage. F3: one-time application of the novel compound fertilizer at six-leaf stage. The N/P2O5/K2O rates in F1, F2, and F3 were same, which was 225/75/75 kg ha−1. F4: As local farmers’ traditional fertilization, N, P2O5, and K2O (225/75/75 kg ha−1) were applied at the rate of 75 kg ha−1 (traditional compound fertilizer, N/P2O5/K2O = 15%/15%/15%) at sowing time and 150 kg ha−1 N (urea, 46%) at the six-leaf stage. The maize was double-row planted (0.8 and 0.4 cm) according to local traditional method. Each plot was 216 m2 (30 m × 7.2 m) with 60,000 plants ha−1. The sowing date was 2 April, and maize was harvested at milking stage on 12 July at the two sites in 2018 and 2019.
At the 23rd day after pollination, 30 representative ears were collected continuously from each plot to determine the fresh ear and grain yield. Cost-profit analysis was performed in accordance with the previous work [9]. The ear price of fresh waxy maize was CNY 2000 t−1 in 2018 and 2019. The prices of fertilizers used in the experiment were: CNY 2000 t−1 (common compound fertilizer), CNY 2000 t−1 (urea), and CNY 2300 t−1 (new compound fertilizer). The production costs were CNY 675 ha−1 (plowing), CNY 300 ha−1 (harrow), CNY 225 ha−1 (seed), CNY 750 ha−1 (sowing), CNY 195 ha−1 (herbicide), CNY 225 ha−1 (insecticide) and CNY 750 ha−1 (harvest), respectively.
To detect the basic fertility level, 0–20 cm soil samples were taking from five points in the experiment sites using a drilling tool. Rhizosphere soil samples were collected at six-leaf (V6), R1, and R3 according to the previously reported method [9]. The subsamples of V6, R1, and R3 were analyzed the soil organic matter (SOM) and total N after air drying. For determination of bacterial abundance, diversity, and enzyme activity, the second subsample was stored at −80 °C. Targeting the 16S rRNA gene, the real-time polymerase chain reaction was used to determine abundance and diversity of the bacterial community combined with the Illumina Miseq sequencing platform [26,27]. The roots were obtained from three representative plants at R1 and R3 based on the previously reported method [9]. The TTC reduction method was used to measure root activity [28]. MLBIO Plant Sucrose Synthase ELISA Kits (Shanghai Enzyme-linked Biotechnology Co., Ltd., Shanghai, China) were used to determine the malondialdehyde (MDA) content in the root, as well as the enzymes activity in the rhizosphere soil and root [9,29].
Treatments were compared using Duncan’s test at the 0.05 probability level (p ≤ 0.05). Analysis of variance was performed in SPSS17.0 (SPSS Institute Inc., Chicago, IL, USA). Spearman correlations were calculated to determine the relationships between maize growth indexes and yields using the cor function of the base R package “stats,” and the correlation results were visualized with the corrplot mixed function of the R package “corrplot.”

3. Results

3.1. Abundance of Rhizosphere Soil Bacterial Community

In Figure 1, community abundances are reflected by the observed species and chao1 indexes, and the community diversity are evaluated by the Shannon and Simpson indexes. At R1 and R3 stages, the diversities of bacteria differed at different fertilization times. In the alpha diversity analysis of bacteria, the abundance and diversity of the community in Yangzhou were higher than those in Nantong. In the Yangzhou experimental plot, fertilization treatments had significantly higher indexes of the observed species, chao1, Shannon, and Simpson than F0 (except F1 in Yangzhou), and F3 had the highest values. In the Nantong experimental plot, the observed species, chao1, Shannon, and Simpson indexes of F1 treatments were highest at R1, and F3 had the highest values among fertilization treatments at R3. In this study, optimized fertilization practices had no significant effects on the abundance and diversity of rhizosphere soil bacterial communities at R1 but increased observed species, chao1, Shannon, and Simpson indexes at R3.
The taxon composition at the phylum level is shown to compare the divergences between treatments, and the abundance data of the top 54 phylum levels are plotted in Figure 2. At R1, cluster B of the rhizosphere soil bacteria showed a higher abundance than cluster A in all soil samples. The phylum classification at R3 was different, that is, cluster A was more abundant. In soil samples in Yangzhou, F3 treatments had higher abundance for Deferribacteria, Aminicenanes, Bathyarchaeota, Chlorobi, Microgenomates, Hydrogenedentes, and Gemmatimonadetes, which participate in soil C and N metabolism. In Nantong, F3 treatments had a higher abundance of rhizosphere soil Proteobacteria bacteria, which are involved in soil redox at R1 and R3. The taxon composition at the phylum level had significant difference between Yangzhou and Nantong.

3.2. Rhizosphere Soil Chemical Properties

The result trend was consistent with minor variation among the years. The activities of oxidoreductases (Figure S2), hydrolases (Figure S3), transferases (Figure S4), and lyases (Figure S5) showed a decreased trend from R1 to R3. The enzymes activities in fertilization treatments were significantly higher than F0 at R1 and R3, and optimized fertilization practices further increased enzymes activities compared with F4. Optimized fertilization practices improved the activities of rhizosphere soil enzymes and showed the order F3 > F2 > F1 > F4 overall (Table 1). The SOM content decreased from V6 to R3 except the F3 treatments, while total N content increased from V6 to R1 and decreased from R1 to R3 (Figure 3). Fertilization treatments had significantly higher SOM and total N content than F0 at R1 and R3, and the increases in optimized fertilization practices were greater than those in traditional fertilization. Compared with F4, the average SOM contents in F1, F2, and F3 increased by 6.1%, 15.5%, and 31.5% at R1, respectively. The increase were 9.3% (F1), 18.9% (F2), and 43.5% (F3) at R3 compared with F4. F3 had significantly higher SOM contents in rhizosphere soil than F1 and F2. The average total N contents under F1, F2, and F3 increased by 7.4%, 10.5%, and 14.8% at R1 compared with F4, and the values were 3.4% (F1), 8.9% (F2), and 18.3% (F3) at R3. Compared with F1 and F2, the total N contents were increased by 23.9% and 13.9% at R1, and by 31.3% and 20.7% at R3. The contents of SOM and total N in Nantong were significantly higher than those in Yangzhou.

3.3. Root Properties

The analysis of variance presented in Table 2 shows that the effects of years and fertilization modes on root activity, MDA contents, and the activities of N metabolic enzymes reached significant levels (p < 0.05). The average root activity at R1 was significantly higher than that at R3, and the activities of N metabolic enzymes and antioxidant enzymes decreased from R1 to R3, but MDA content was opposite (Figure 4). Fertilization significantly increased root activity and the activities of R-NR, R-GOGAT, R-GS, R-SOD, R-CAT, and R-POD at R1 and R3, and those in optimized fertilization practices were increased higher than F4. The trend of MDA content was opposite the activity of root enzymes and showed the order: F4 > F1 > F2 > F3. The root activities of F1, F2, and F3 were 3.6%, 15.1%, and 23.6% higher than F4 at R1. The values were 7.4% (F1), 10.5% (F2), and 24.2% (F3) at R3. Compared with F4, the average MDA contents of F1, F2, and F3 treatments decreased by 6.9%, 11.1%, and 16.1% at R1, respectively. The values reached 6.9% (F1), 12.1% (F2), and 15.9% (F3) at R3. The average activities of NR in Yangzhou were significantly higher than Nantong, but root activities and other related enzymes had no significant difference.

3.4. Yield and Economic Analysis

Years, sites, and fertilization practices had significant effects on fresh ear and grain yields, gross return, and net return (Table 3 and Figure 5). Compared with F4, optimized fertilization practices significantly increased the fresh waxy maize yield. In compared to F4, the average fresh ear yields under F1, F2, and F3 was increased by 10.2%, 19.3%, and 26.1%, respectively. Meanwhile, the fresh grain yields increased by 9.4% (F1), 14.8% (F2), and 24.7% (F3). Both sites obtained the highest yield under F3 in 2018 and 2019. The average net return of F1, F2, and F3 increased by 19.4%, 33.3%, and 43.6%, respectively, compared with those under F4. The average net return in Nantong was 3.9% higher than that in Yangzhou.

3.5. Spearman Correlation

The bacterial abundance, bacterial diversity, and chemical properties in rhizosphere soil had a significant positive correlation with fresh ear and grain yields. The root activity and the activities of N metabolic enzymes and antioxidant enzymes also had a significant positive correlation with yield. The MDA content in the root had a negative correlation with the yield of fresh waxy maize (Figure 6).

4. Discussion

In this experiment, F3 had significantly higher indexes of observed species, chao1, Shannon, and Simpson than F4 at R3. Fertilizer has a great impact on the composition of the soil bacterial community [12,14]. Rhizosphere soil was used for chemical and bacterial properties in this experiment. Bacterial communities were directly affected by environmental factors, especially temperature, water, and various substances contents in soil [30,31], and bacterial characteristics can lead to the discrepancy in soil microbial biomass, which affects carbon metabolism process in soil [32,33]. Among different treatments, F3 had higher abundances for Deferribacteria, Aminicenanes, Bathyarchaeota, Chlorobi, Microgenomates, Hydrogenedentes, and Gemmatimonadetes, which were participated in soil C and N metabolism at Yangzhou. At Nantong, F3 had a higher abundance of rhizosphere soil Proteobacteria, which are involved in soil redox. The crop variety and growing season had great influences on soil microbial content and activity [34] and affected the availability of soil nutrients [35]. In addition, Liu et al. [36] demonstrated that the continuous supply of nitrate had enhanced effects on the development of maize lateral root, and then these changes in root characteristic promoted the absorption of soil nutrients by crops [37]. Surveys by Cui et al. [38] and Chipomho et al. [39] showed that SOM and total N content in soil had significant correlation with crop productivity in maize fields. This study also showed that fertilization had higher SOM and total N content from V6 to R3 stages, and significantly improved the chemical properties of rhizosphere soil, similar to previous results [29,40]. New compound fertilizer has been proved to significantly improve crop yield and fertilizer utilization efficiency [4] and increase soil fertility [41]. Gao et al. [8] observed that new compound fertilizer increased the soil humus content and stability of soil aggregates, which could improve nutrient supply capacity and then enhance maize production. The results also indicated that F3 had the advantage of increasing the abundance and diversity of bacterial communities than conventional fertilization mode, which had a significant positive correlation with chemical and bacterial properties in rhizosphere soil during the post-silking stage. In fresh waxy maize production, optimizing the application time of new compound fertilizer to V6 increased the activities of soil enzymes, which accelerated the mineralization process and promoted nutrient content at post-silking stage.
Under this experiment condition, the optimized fertilization practices increased the root activity and activities of N metabolic enzymes and antioxidant enzymes at the grain filling stage. Root activity and physiological characteristics were closely related to the physiological activity of shoot [42] and played an important role in improving crop biomass [43]. The growth and development of maize root system was directly related to the nutrient content in soil and determined the growth of aboveground plants [44,45]. Fertilization increased the root activities and delayed the root senescent rate during the post-silking stage, and promoted the activities of NR, GOGAT, and GS. In the crop lateral root, rich nitrate content had a significant promoting function on N absorption from soil [46]. A previous study showed that new compound fertilizer significantly increased the soil N levels and significantly improved morphological and physiological indexes of root compared with traditional fertilization method [47]. We also revealed that optimized fertilization practices increased the activities of N metabolism enzymes. The activities of root N metabolic and antioxidant enzymes and root activities in F3 were significantly higher than F1 and F2. Figure 6 shows that fresh ear and grain yields had significantly positive correlations with root activity, root N metabolic enzymes, and antioxidant enzyme activities.
Delaying the application time of new compound fertilizer to V6 increased the fresh ear (10.2%) and grain (9.4%) yields relative to those under F4. Fertilization is an important cultivation measure used to improve maize yield [48], and previous studies have demonstrated that new fertilizers such as controlled release fertilizer can effectively improve maize yield compared with traditional fertilization [5,49]. Environment factors have significant effects on the nutrient release of compound fertilizer [50]. At present, the price of new compound fertilizer is higher than conventional fertilizers [51,52]. Therefore, exploring the optimized fertilization practices to improve the planting efficiency of maize is necessary in the case of intensive cropping and frequent disturbances. Several studies have discussed the use of the optimum ratio of mixed fertilizers in maximizing maize yield, nutrient utilization efficiency, and economic performance [8,53]. Our results solved the problem of nutrient deficiency during the post-silking stage of fresh waxy maize and demonstrated that optimizing the fertilizer type and fertilization stage increased the fresh ear and grain yield of fresh waxy maize. F2 and F3 as optimized fertilization practices increased root activity and delayed root senescence, but F3 was more effective in increasing the abundance and diversity of bacterial communities in rhizosphere soil, which participate in soil C and N metabolism. Thus, F3 promoted the nutrient cycle in the soil and then improved the SOM and total N content in rhizosphere soil at the middle and late stages, which enhanced the absorption and utilization of nutrients by roots. The Spearman correlation analysis showed that rhizosphere soil chemical and bacterial properties had a significant positive correlation with fresh ear and grain yields. We believe that optimizing the application time of new compound fertilizer increased maize yield by improving rhizosphere soil chemical and bacterial properties, delaying root senescence, and enhancing root activity during the grain-filling period. This method is only limited to spring-sowing maize. The summer maize planting area has high temperature and fast growth, and whether this method can be applied during the summer still needs further research.

5. Conclusions

Optimizing the fertilizer type and fertilization time exhibited significant effects on the rhizosphere soil properties and root physiological properties in the field production of fresh waxy maize. F3 increased the nutrient content by improving the abundance and diversity of bacterial communities, which promoted root physiological properties during the grain filling stage and contributed to yield. Under this experiment, the one-off application of the new compound fertilizer at the six-leaf stage will be an economical cultivation practice for the high-yield production of fresh waxy maize in Southern China.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/metabo12100935/s1, Table S1: The soil properties of experimental field prior to sowing at 0–20 cm soil depth; Figure S1: Daily precipitation, average temperature and sunlight during maize growth seasons in 2018 and 2019; Figure S2: Effects of optimized fertilization practices on oxidoreductases activities of rhizosphere soil; Figure S3: Effects of optimized fertilization practices on hydrolases activities of rhizosphere soil; Figure S4: Effects of optimized fertilization practices on transferases activities of rhizosphere soil; Figure S5: Effects of optimized fertilization practices on lyases activities of rhizosphere soil; Figure S6: Effects of optimized fertilization practices on activities of N metabolism enzymes in root of fresh waxy maize; Figure S7: Effects of optimized fertilization practices on antioxidant enzymes activity in root of fresh waxy maize.

Author Contributions

Conceptualization, D.L.; methodology, G.L. and W.L. (Wei Li); software, W.L. (Wei Li); validation, G.L., S.Z. and D.L.; formal analysis, G.L. and W.L. (Wei Li); investigation, G.L. and S.Z.; resources, W.L. (Weiping Lu) and D.L.; data curation, G.L., S.Z. and D.L.; writing—original draft preparation, G.L.; writing—review and editing, D.L. and W.L. (Weiping Lu); supervision, D.L.; funding acquisition, G.L., D.L. and W.L (Weiping Lu). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Jiangsu Agricultural Industry Technology System (JATS[2022]497), Key Research & Development Program of Jiangsu Province (BE2021317), Open Competition Mechanism to Select the Best Candidates Program of Seed Industry Revitalization (JBGS[2021]054), Natural Science Foundation of Jiangsu Province (BK20200952), Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), and High-end Talent Support Program of Yangzhou University.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in article and Supplementary Materials.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhao, B.Q. New Fertilizers; Science Press: Beijing, China, 2013; pp. 14–96. [Google Scholar]
  2. Lubkowski, K. Environmental impact of fertilizer use and slow release of mineral nutrients as a response to this challenge. Pol. J. Chem Technol. 2016, 18, 72–79. [Google Scholar] [CrossRef] [Green Version]
  3. Fertahi, S.; Ilsouk, M.; Zeroual, Y.; Oukarroum, A.; Barakat, A. Recent trends in organic coating based on biopolymers and biomass for controlled and slow release fertilizers. J. Control. Release 2021, 330, 341–361. [Google Scholar] [CrossRef] [PubMed]
  4. Azeem, B.; KuShaari, K.; Man, Z.B.; Basit, A.; Thanh, T.H. Review on materials & methods to produce controlled release coated urea fertilizer. J. Control. Release 2014, 181, 11–21. [Google Scholar] [PubMed]
  5. Zhang, W.S.; Liang, Z.Y.; He, X.M.; Wang, X.Z.; Shi, X.J.; Zou, C.Q.; Chen, X.P. The effects of controlled release urea on maize productivity and reactive nitrogen losses: A meta-analysis. Environ. Pollut. 2019, 246, 559–565. [Google Scholar] [CrossRef] [PubMed]
  6. Zhao, Z.; Verburg, K.; Huth, N. Modelling sugarcane nitrogen uptake patterns to inform design of controlled release fertilizer for synchrony of N supply and demand. Field Crops Res. 2017, 213, 51–64. [Google Scholar] [CrossRef]
  7. Tian, C.; Zhou, X.; Ding, Z.L.; Liu, Q.; Xie, G.Z.; Peng, J.W.; Rong, X.M.; Zhang, Y.P.; Yang, Y.; Eissa, M.A. Controlled-release N fertilizer to mitigate ammonia volatilization from double-cropping rice. Nutr. Cycl. Agroecosys. 2020, 199, 123–137. [Google Scholar] [CrossRef]
  8. Gao, Y.; Song, X.; Liu, K.; Li, T.; Zheng, W.; Wang, Y.; Liu, Z.; Zhang, M.; Chen, Q.; Li, Z.; et al. Mixture of controlled-release and conventional urea fertilizer application changed soil aggregate stability, humic acid molecular composition, and maize nitrogen uptake. Sci. Total Environ. 2021, 789, 147778. [Google Scholar] [CrossRef]
  9. Li, G.; Fu, P.; Cheng, G.; Lu, W.; Lu, D. Delaying application time of slow-release fertilizer increases soil rhizosphere nitrogen content, root activity, and grain yield of spring maize. Crop. J. 2022, in press. [CrossRef]
  10. Zhang, X.Y.; Li, G.H.; Yang, H.; Lu, D.L. Foliar brassinolide sprays ameliorate post-silking heat stress on the accumulation and remobilization of biomass and nitrogen in fresh waxy maize. Agronomy 2022, 12, 1363. [Google Scholar] [CrossRef]
  11. Hayat, R.; Ali, S.; Amara, U.; Khalid, R.; Ahmed, I. Soil beneficial bacteria and their role in plant growth promotion: A review. Ann. Microbiol. 2010, 60, 579–598. [Google Scholar] [CrossRef]
  12. Chen, D.; Yuan, L.; Liu, Y.; Ji, J.H.; Hou, H.Q. Long-term application of manures plus chemical fertilizers sustained high rice yield and improved soil chemical and bacterial properties. Eur. J. Agron. 2017, 90, 34–42. [Google Scholar] [CrossRef]
  13. Lazcano, C.; Gómez-Brandón, M.; Revilla, P.; Domínguez, J. Short-term effects of organic and inorganic fertilizers on microbial community structure and function: A field study with sweet corn. Biol. Fert. Soils. 2013, 49, 723–733. [Google Scholar] [CrossRef]
  14. Wang, J.; Xie, J.; Li, L.; Luo, Z.; Zhang, R.; Jiang, Y. Nitrogen application increases soil microbial carbon fixation and maize productivity on the semiarid Loess Plateau. Plant Soil 2022. Online. [Google Scholar] [CrossRef]
  15. Tian, S.; Zhu, B.; Yin, R.; Wang, M.; Jiang, Y.; Zhang, C.; Li, D.; Chen, X.; Kardol, P.; Liu, M. Organic fertilization promotes crop productivity through changes in soil aggregation. Soil Biol. Biochem. 2022, 165, 108533. [Google Scholar] [CrossRef]
  16. Poffenbarger, H.; Barker, D.; Helmers, M.; Miguez, F.; Olk, D.; Sawyer, J.; Six, J.; Castellano, M. Maximum soil organic carbon storage in Midwest U.S. Cropping systems when crops are optimally nitrogen-fertilized. PLoS ONE. 2017, 12, e0172293. [Google Scholar] [CrossRef] [Green Version]
  17. Mahal, N.; Osterholz, W.; Miguez, F.; Poffenbarger, H.; Sawyer, J.; Olk, D.; Archontoulis, S.; Castellano, M. Nitrogen fertilizer suppresses mineralization of soil organic matter in maize agroecosystems. Front. Ecol. Evol. 2019, 7, 59. [Google Scholar] [CrossRef] [Green Version]
  18. Feng, G.; Zhang, Y.; Chen, Y.; Li, Q.; Chen, F.; Gao, Q.; Mi, G. Effects of nitrogen application on root length and grain yield of rain-fed maize under different soil type. Agron. J. 2016, 108, 1656–1665. [Google Scholar] [CrossRef]
  19. Wen, Z.; Shen, J.; Blackwell, M.; Li, H.; Zhao, B.; Yuan, H. Combined application of nitrogen and phosphorus fertilizer with manure increase maize yield and nutrient uptake via stimulating root growth in long term experiment. Pedosphere 2016, 26, 62–73. [Google Scholar] [CrossRef]
  20. Ordóñez, R.; Castellano, M.; Danalatos, G.; Wright, E.; Hatfield, J.; Burras, L.; Archontoulis, S. Insufficient and excessive N fertilizer input reduces maize root mass across soil types. Field Crops Res. 2019, 267, 108142. [Google Scholar] [CrossRef]
  21. Geng, J.; Sun, Y.; Zhang, M.; Li, C.; Yang, Y.; Liu, Z.; Li, S. Long-term effects of controlled release urea application on crop yields and soil fertility under rice-oilseed rape rotation system. Field Crops Res. 2015, 184, 65–73. [Google Scholar] [CrossRef]
  22. Li, R.; Gao, Y.; Chen, Q.; Li, Z.; Gao, F.; Meng, Q.; Li, T.; Liu, A.; Wang, Q.; Wu, L.; et al. Blended controlled-release nitrogen fertilizer with straw returning improved soil nitrogen availability, soil microbial community, and root morphology of wheat. Soil Till. Res. 2021, 212, 105045. [Google Scholar] [CrossRef]
  23. Shao, G.; Li, Z.; Ning, T.; Zheng, Y. Responses of photosynthesis, chlorophyll fluorescence, and grain yield of maize to controlled-release urea and irrigation after anthesis. J. Plant Nutr. Soil Sc. 2013, 176, 595–602. [Google Scholar] [CrossRef]
  24. Li, G.; Zhao, B.; Dong, S.; Zhang, J.; Liu, P.; Ren, B.; Lu, D.; Lu, W. Morphological and physiological characteristics of maize roots in response to controlled-release urea under different soil moisture conditions. Agron. J. 2019, 111, 1849–1864. [Google Scholar] [CrossRef]
  25. Li, G.; Wang, L.; Li, L.; Lu, D.; Lu, W. Effects of fertilizer management strategies on maize yield and nitrogen use efficiencies under different densities. Agron. J. 2020, 112, 368–381. [Google Scholar] [CrossRef]
  26. Edenborn, S.; Sexstone, A. DGGE fingerprinting of culturable soil bacterial communities complements culture-independent analyses. Soil Biol. Biochem. 2007, 39, 1570–1579. [Google Scholar] [CrossRef]
  27. Edgar, R.C. UPARSE: Highly accurate OTU sequences from microbial amplicon reads. Nat. Methods 2013, 10, 996–998. [Google Scholar] [CrossRef] [PubMed]
  28. Qi, W.; Liu, H.; Liu, P.; Dong, S.; Zhao, B.; Hwat, B.; Li, G.; Liu, H.; Zhang, J.; Zhao, B. Morphological and physiological characteristics of corn (Zea mays L.) roots from cultivars with different yield potentials. Eur. J. Agron. 2012, 38, 54–63. [Google Scholar] [CrossRef]
  29. Zhang, C.; Zhang, X.; Kuzyakov, Y.; Wang, H.; Fu, X.; Yang, Y.; Chen, F.; Dungait, J.; Green, S.; Fang, X. Responses of C-, N- and P-acquiring hydrolases to P and N fertilizers in a subtropical Chinese fir plantation depend on soil depth. Appl. Soil Ecol. 2020, 150, 103465. [Google Scholar] [CrossRef]
  30. Bohlen, P.; Groffman, P.; Driscoll, C.; Fahey, T.; Siccama, T. Plant-soil-microbial interactions in a northern hardwood forest. Ecology 2001, 82, 965–978. [Google Scholar]
  31. Waldrop, M.; Firestone, M. Response of microbial community composition and function to soil climate change. Microb. Ecol. 2006, 52, 716–724. [Google Scholar] [CrossRef]
  32. Kuzyakov, Y. Priming effects: Interactions between living and dead organic matter. Soil Biol. Biochem. 2010, 42, 1363–1371. [Google Scholar] [CrossRef]
  33. Wang, H.; Li, J.; Chen, H.; Liu, H.; Nie, M. Enzymic moderations of bacterial and fungal communities on short- and long-term warming impacts on soil organic carbon. Sci. Total Environ. 2022, 804, 150197. [Google Scholar] [CrossRef] [PubMed]
  34. Balota, E.L.; Filho, A.; Andrade, D.S.; Dick, R.P. Long-term tillage and crop rotation effects on microbial biomass and C and N mineralization in a Brazilian Oxisol. Soil Till. Res. 2004, 77, 137–145. [Google Scholar] [CrossRef]
  35. Mikanová, O.; Friedlová, M.; Šimon, T. The influence of fertilization and crop rotation on soil microbial characteristics in the long-term field experiment. Plant Soil Environ. 2009, 55, 11–16. [Google Scholar] [CrossRef] [Green Version]
  36. Liu, J.; Han, L.; Chen, F.; Bao, J.; Zhang, F.; Mi, G. Microarray analysis reveals early responsive genes possibly involved in localized nitrate stimulation of lateral root development in maize. Plant Sci. 2008, 175, 272–282. [Google Scholar] [CrossRef]
  37. Liu, Y.; Behrens, I.; Muthreich, N.; Schutz, W.; Nordheim, A.; Hochholdinger, F. Regulation of the pericycle proteome in maize (Zea mays L.) primary roots by RUM1 which is required for lateral root initiation. Eur. J. Cell Biol. 2010, 89, 236–241. [Google Scholar] [CrossRef]
  38. Cui, Z.; Zhang, F.; Miao, Y.; Sun, Q.; Li, F.; Chen, X.; Li, J.; Ye, Y.; Yang, Z.; Zhang, Q.; et al. Soil nitrate-N levels required for high yield maize production in the North China Plain. Nutr. Cycl. Agroecosys. 2008, 82, 187–196. [Google Scholar] [CrossRef]
  39. Chipomho, J.; Rugare, J.; Mabasa, S.; Zingore, S.; Mashingaidze, A.; Chikowo, R. Short-term impacts of soil nutrient management on maize (Zea mays L.) productivity and weed dynamics along a toposequence in Eastern Zimbabwe. Heliyon 2020, 6, e05223. [Google Scholar] [CrossRef]
  40. Borowska, K.; Koper, J. The effect of long-term organic–mineral fertilization on selenium content and chosen oxidoreductases activity under winter wheat cultivation. Chem. Ecol. 2010, 26, 111–116. [Google Scholar] [CrossRef]
  41. Geng, J.; Chen, J.; Sun, Y.; Zheng, W.; Tian, F.; Yang, Y.; Li, C.; Zhang, M. Controlled-release urea improved nitrogen use efficiency and yield of wheat and corn. Agron. J. 2016, 108, 1666–1673. [Google Scholar] [CrossRef]
  42. Nacry, P.; Bouguyon, E.; Gojon, A. Nitrogen acquisition by roots: Physiological and developmental mechanisms ensuring plant adaptation to a fluctuating resource. Plant Soil. 2013, 370, 1–29. [Google Scholar] [CrossRef] [Green Version]
  43. Lynch, J.; Wojciechowski, T. Opportunities and challenges in the subsoil: Pathways to deeper rooted crops. J. Exp. Bot. 2015, 66, 2199–2210. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Schneider, H.; Lynch, J. Functional implications of root cortical senescence for soil resource capture. Plant Soil. 2018, 423, 13–26. [Google Scholar] [CrossRef] [Green Version]
  45. Chilundo, M.; Joel, A.; Wesström, I.; Rui, B.; Messing, I. Response of maize root growth to irrigation and nitrogen management strategies in semi-arid loamy sandy soil. Field Crops Res. 2017, 200, 143–162. [Google Scholar] [CrossRef]
  46. Motte, H.; Vanneste, S.; Beeckman, T. Molecular and environmental regulation of root development. Annu. Rev. Plant Biol. 2019, 70, 465–488. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Li, G.; Cheng, G.; Lu, D.; Lu, W. Differences of yield and nitrogen use efficiency under different applications of slow release fertilizer in spring maize. J. Integr. Agr. 2021, 20, 554–564. [Google Scholar] [CrossRef]
  48. Mueller, S.M.; Vyn, T.J. Maize plant resilience to N stress and post-silking N capacity changes over time: A Review. Front. Plant Sci. 2016, 7, 53. [Google Scholar] [CrossRef] [Green Version]
  49. Zhao, B.; Dong, S.T.; Zhang, J.W.; Liu, P. Effects of controlled-release fertilizer on nitrogen use efficiency in summer maize. PLoS ONE 2013, 8, e70569. [Google Scholar]
  50. Farmaha, B.; Sims, A. The influence of PCU and urea fertilizer mixtures on spring wheat protein concentrations and economic returns. Agron. J. 2012, 105, 1328–1334. [Google Scholar] [CrossRef]
  51. Noellsch, A.; Motavalli, P.; Nelson, K.; Kitchen, N. Corn response to conventional and slow-release nitrogen fertilizers across a claypan landscape. Agron. J. 2009, 101, 607–614. [Google Scholar] [CrossRef]
  52. Guo, J.; Wang, Y.; Blaylock, A.; Chen, X. Mixture of controlled release and normal urea to optimize nitrogen management for high-yielding (>15 Mg ha−1) maize. Field Crops Res. 2017, 204, 23–30. [Google Scholar] [CrossRef]
  53. Guo, J.; Fan, J.; Zhang, F.; Yan, S.; Zheng, J.; Wu, Y.; Li, J.; Wang, Y.; Sun, X.; Liu, X.; et al. Blending urea and slow-release nitrogen fertilizer increases dryland maize yield and nitrogen use efficiency while mitigating ammonia volatilization. Sci. Total Environ. 2021, 790, 148058. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Grouped box plot of α diversity index for rhizosphere soil of different fertilization treatments. F0, no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6; R1 and R3 represent silking and milking stages. In each Panel, the abscissa is the grouping label, and the ordinate is the value of the corresponding α diversity index.
Figure 1. Grouped box plot of α diversity index for rhizosphere soil of different fertilization treatments. F0, no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6; R1 and R3 represent silking and milking stages. In each Panel, the abscissa is the grouping label, and the ordinate is the value of the corresponding α diversity index.
Metabolites 12 00935 g001
Figure 2. The phylum horizontal species composition of the declutter heat map for rhizosphere soil of different fertilization treatments. A heat map showing the top 54 bacterial OTUs for soils of different treatments. Y: Yangzhou; N: Nantong; R1: silking stage; R3: milking stage; F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage. Analysis software: R script, heat map package.
Figure 2. The phylum horizontal species composition of the declutter heat map for rhizosphere soil of different fertilization treatments. A heat map showing the top 54 bacterial OTUs for soils of different treatments. Y: Yangzhou; N: Nantong; R1: silking stage; R3: milking stage; F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage. Analysis software: R script, heat map package.
Metabolites 12 00935 g002
Figure 3. Effects of optimized fertilization practices on organic matter and total N content of rhizosphere soil. Vertical bars are means ± standard deviation (n = 9, from 3 independent plots). Different letters above the bars represent significant differences at p < 0.05 at same stage. Note: F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage. V6, R1, and R3 represent six-leaf, silking, and milking stages, respectively.
Figure 3. Effects of optimized fertilization practices on organic matter and total N content of rhizosphere soil. Vertical bars are means ± standard deviation (n = 9, from 3 independent plots). Different letters above the bars represent significant differences at p < 0.05 at same stage. Note: F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage. V6, R1, and R3 represent six-leaf, silking, and milking stages, respectively.
Metabolites 12 00935 g003
Figure 4. Effects of optimized fertilization practices on root activity and MDA content in root of fresh waxy maize. Vertical bars are means ± standard deviation (n = 9, from 3 independent plots). Different letters above the bars represent significant differences at p < 0.05 at same stage. Note: F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3 and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage. R1 and R3 represent silking and fresh ear stages. R-MDA represent malondialdehyde in root.
Figure 4. Effects of optimized fertilization practices on root activity and MDA content in root of fresh waxy maize. Vertical bars are means ± standard deviation (n = 9, from 3 independent plots). Different letters above the bars represent significant differences at p < 0.05 at same stage. Note: F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3 and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage. R1 and R3 represent silking and fresh ear stages. R-MDA represent malondialdehyde in root.
Metabolites 12 00935 g004
Figure 5. Effects of optimized fertilization practices on ear and grain yield of fresh waxy maize. Bars represent means ± standard deviation (n = 3). Different letters above the bars represent significant differences at p < 0.05. F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage.
Figure 5. Effects of optimized fertilization practices on ear and grain yield of fresh waxy maize. Bars represent means ± standard deviation (n = 3). Different letters above the bars represent significant differences at p < 0.05. F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage.
Metabolites 12 00935 g005
Figure 6. Spearman correlation analysis among rhizosphere soil characteristics, root activity, and yields based on 2 years of fresh waxy maize. F-EY and F-GY represent fresh ear yield and fresh grain yield; S-BA, S-BD, S-O, S-H, S-T, S-L, SOM, and STN represent bacterial abundance, bacterial diversity, oxidoreductase, hydrolases, transferases, lyases, organic matter, and total nitrogen content in rhizosphere soil; R-NE and R-AE represent N metabolic enzymes and antioxidant enzymes in root; R-MDA and RA represent the malondialdehyde content and root activity.
Figure 6. Spearman correlation analysis among rhizosphere soil characteristics, root activity, and yields based on 2 years of fresh waxy maize. F-EY and F-GY represent fresh ear yield and fresh grain yield; S-BA, S-BD, S-O, S-H, S-T, S-L, SOM, and STN represent bacterial abundance, bacterial diversity, oxidoreductase, hydrolases, transferases, lyases, organic matter, and total nitrogen content in rhizosphere soil; R-NE and R-AE represent N metabolic enzymes and antioxidant enzymes in root; R-MDA and RA represent the malondialdehyde content and root activity.
Metabolites 12 00935 g006
Table 1. Analysis of variance for optimized fertilization practices on enzyme activities and nutrient content in rhizosphere soil of fresh waxy maize.
Table 1. Analysis of variance for optimized fertilization practices on enzyme activities and nutrient content in rhizosphere soil of fresh waxy maize.
ANOVASOM
g kg−1)
Total N
(g kg−1)
Deh
(U g−1 FW)
POD
(U g−1 FW)
CAT
(U g−1 FW)
NR
(U g−1 FW)
Inv
(U g−1 FW)
Amy
(U g−1 FW)
Ure
(U g−1 FW)
Pho
(U g−1 FW)
Tsa
(U g−1 FW)
TGS
(U g−1 FW)
ASPD
(U g−1 FW)
GAD
(U g−1 FW)
Year
(Y)
201815.6 a1.17 a0.792 a0.169 b0.121 b0.190 b7.53 a0.576 b10.70 a8.08 a3.11 b0.258 b1.92 b3.45 a
201915.4 a1.10 ab0.741 ab0.205 a0.145 a0.214 a6.78 b0.633 a8.39 b7.54 b3.46 ab0.302 a2.13 a3.05 b
Site
(S)
Yangzhou14.6 b1.06 ab0.776 a0.178 b0.132 a0.200 a7.22 a0.598 b10.00 a7.66 a3.20 a0.276 b2.07 a3.25 a
Nantong16.4 a1.20 a0.757 a0.196 a0.134 a0.204 a7.10 b0.611 a9.09 b7.95 a3.36 a0.284 a1.98 b3.25 a
Fertilization
(F)
F08.8 d0.85 c0.605 d0.148 d0.105 d0.175 c5.80 e0.453 d7.56 c6.29 d2.76 d0.235 d1.71 c2.59 e
F116.0 bc1.15 b0.800 bc0.194 b0.136 b0.208 ab7.27 c0.621 b9.69 b7.90 b3.32 b0.282 bc2.07 b3.24 c
F217.5 b1.23 ab0.826 b0.200 ab0.145 ab0.215 a7.74 b0.667 ab10.40 ab8.46 ab3.47 ab0.291 b2.16 ab3.52 b
F320.4 a1.31 a0.868 a0.210 a0.150 a0.217 a8.29 a0.690 a10.88 a8.79 a3.67 a0.320 a2.25 a3.97 a
F415.0 c1.13 b0.734 c0.183 c0.128 c0.194 b6.68 d0.590 c9.22 b7.60 bc3.19 c0.271 c1.94 b2.94 d
Y0.13.7 *7.7 *178.7 **97.6 **15.3 **33.0 **106.9 **132.7 **9.9 **18.9 **144.9 **59.3 **27.7 **
S19.8 **9.0 *1.441.7 **6.00.30.117.5 **20.0 **5.26.6 *3.59.8 *0.2
F66.8 **87.3 **118.7 **96.83 **88.1 **60.8 **54.6 **143.9 **121.7 **109.8 **100.9 **86.2 **69.8 **120.7 **
Y × S3.10.134.2 **80.6 **19.6 **0.10.11.06.7 *5.3 **4.20.140.5 **1.1
Y × F0.44.51.10.62.916.4 **1.50.221.13.5 *3.33.8 *1.22.4
S × F4.1 *12.8 **4.7 *4.8 *5.5 *6.7 *1.51.811.1 **7.7 *2.812.4 **2.01.9
Y × S × F1.24.2 *7.0 *1.21.08.4 *1.21.21.75.1 *3.10.34.5 *5.5 *
The different letters followed values (means of R1 and R3) within a column mean the difference was significant at p < 0.05 according to Duncan’s Multiple Range Test. F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage. SOM, soil organic matter; Deh, POD, CAT, NR, Inv, Amy, Ure, Pho, Tsa, TGS, ASPD, and GAD represent dehydrogenase, peroxidase, catalase, nitrate reductase, invertase, amylase, urease, phosphatase, transaminase, transglycosidase, aspartate decarboxylase, and glutamate decarboxylase in rhizosphere soil, respectively. * and ** indicated significant difference at the 0.05 and 0.01 levels of probability, respectively.
Table 2. Analysis of variance for optimized fertilization practices on root activity and the activities of N metabolism enzymes and antioxidant enzymes in root of fresh waxy maize.
Table 2. Analysis of variance for optimized fertilization practices on root activity and the activities of N metabolism enzymes and antioxidant enzymes in root of fresh waxy maize.
ANOVAR-NR
(U g−1 FW)
R-GOGAT
(U g−1 FW)
R-GS
(U g−1 FW)
Root Activity (mg g−1 h)R-MDA
(nmol L−1)
R-SOD
(U g−1 FW)
R-POD
(U g−1 FW)
R-CAT
(U g−1 FW)
Year
(Y)
20181.767 a0.854 a0.520 a50.97 b5.526 b32.03 b0.239 b0.083 b
20191.652 b0.576 b0.463 b54.59 a6.029 a35.09 a0.277 a0.091 a
Site
(S)
Yangzhou1.757 a0.720 a0.491 a52.52 a5.569 ab33.93 a0.256 a0.086 a
Nantong1.662 b0.710 a0.492 a53.04 a5.986 a33.19 a0.260 a0.087 a
Fertilization
(F)
F01.278 e0.555 d0.346 e35.20 e6.637 a26.32 d0.207 e0.066 d
F11.811 c0.719 c0.505 c54.49 c5.668 c34.14 b0.262 c0.089 bc
F21.881 b0.769 b0.545 b58.42 b5.379 cd36.79 ab0.280 b0.095 ab
F31.967 a0.839 a0.597 a64.07 a5.115 d38.25 a0.298 a0.100 a
F41.611 d0.691 c0.466 d51.72 d6.088 b32.30 c0.243 d0.083 c
Y18.6 **317.2 **26.0 **5.4 *6.8 *42.1 **78.4 **35.5 **
S7.4 *0.10.20.34.9 *0.30.61.1
F313.2 **138.0 **148.3 **131.0 **38.6 **50.9 **86.8 **135.1 **
Y × S1.80.10.32.03.39.7 *0.338.8 **
Y × F15.1 **15.3 **6.6 *4.5 *2.32.06.4 *5.4 *
S × F1.12.00.71.81.54.6 *2.45.3 *
Y × S × F2.92.64.20.61.01.71.78.4 *
The different letters followed values (means of R1 and R3) within a column mean the difference was significant at p < 0.05 according to Duncan’s Multiple Range Test. F0: no fertilizer; F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage. R-NR, R-GOGAT, R-GS, R-MDA, R-SOD, R-POD, and R-CAT represent nitrate reductase, glutamate synthase, glutamine synthetase, malondialdehyde, superoxide dismutase, peroxidase, and catalase in root, respectively. * and ** indicated significant difference at the 0.05 and 0.01 levels of probability, respectively.
Table 3. Economic analysis (CNY ha−1) related to fertilization methods in 2018 and 2019.
Table 3. Economic analysis (CNY ha−1) related to fertilization methods in 2018 and 2019.
Year (Y)Site (S)Fertilization (F)Gross ReturnFertilizer CostFertilization CostNet Return
2018YangzhouF013,000 g009880 g
F119,334 d191775013,547 de
F220,888 c191775015,101 cd
F321,890 b191775016,103 bc
F417,490 e1652150011,218 f
NantongF012,504 g009384 g
F119,994 cd191775014,207 d
F221,450 bc191775015,663 c
F323,010 ab191775017,223 b
F418,008 e1652150011,736 f
2019YangzhouF015,356 f0012,236 ef
F120,112 cd191775014,325 d
F222,172 b191775016,385 bc
F323,438 ab191775017,651 ab
F418,858 de1652150012,586 e
NantongF014,340 f0011,220 f
F121,630 bc191775015,843 c
F223,280 ab191775017,493 ab
F324,450 a191775018,663 a
F419,228 d1652150012,956 e
Y176.7 ** 219.8 **
S35.8 * 83.4 **
F190.6 ** 198.1 **
Y × S28.8 ** 27.7 **
Y × F26.0 ** 33.1 **
S × F18.6 ** 47.2 **
Y × S × F15.5 ** 32.0 **
The different letters followed values within a column mean the difference was significant at p < 0.05 according to Duncan’s Multiple Range Test. F0, no fertilizer. F1, F2, and F3 represent new compound fertilizer applied 225 kg N ha−1 at sowing, V3, and V6 stages, respectively; F4: applied 75 kg N ha−1 traditional compound fertilizer at sowing stage and 150 kg N ha−1 urea at V6 stage. * and ** indicated significant difference at the 0.05 and 0.01 levels of probability, respectively.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Li, G.; Li, W.; Zhang, S.; Lu, W.; Lu, D. Optimized Fertilization Practices Improved Rhizosphere Soil Chemical and Bacterial Properties and Fresh Waxy Maize Yield. Metabolites 2022, 12, 935. https://doi.org/10.3390/metabo12100935

AMA Style

Li G, Li W, Zhang S, Lu W, Lu D. Optimized Fertilization Practices Improved Rhizosphere Soil Chemical and Bacterial Properties and Fresh Waxy Maize Yield. Metabolites. 2022; 12(10):935. https://doi.org/10.3390/metabo12100935

Chicago/Turabian Style

Li, Guanghao, Wei Li, Shibo Zhang, Weiping Lu, and Dalei Lu. 2022. "Optimized Fertilization Practices Improved Rhizosphere Soil Chemical and Bacterial Properties and Fresh Waxy Maize Yield" Metabolites 12, no. 10: 935. https://doi.org/10.3390/metabo12100935

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop