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Nitrogen, Volume 6, Issue 3 (September 2025) – 10 articles

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8 pages, 830 KiB  
Communication
Differential N2O-Producing Activity of Soil Fungi Across Agricultural Systems: High in Vegetable Fields and Vineyards, Low in Paddies
by Shutan Ma, Jintao Zhang, Ting Wu, Yuqing Miao, Hua Fang, Haitao Wang, Huayuan Niu and Lan Ma
Nitrogen 2025, 6(3), 57; https://doi.org/10.3390/nitrogen6030057 - 11 Jul 2025
Viewed by 48
Abstract
The substrate-induced respiration-inhibition (SIRIN) method has been used to estimate fungi-derived N2O emissions, but its contribution to soil N2O emissions remains unclear. There is a need to quantify the fungal fraction of N2O production more precisely. Here, [...] Read more.
The substrate-induced respiration-inhibition (SIRIN) method has been used to estimate fungi-derived N2O emissions, but its contribution to soil N2O emissions remains unclear. There is a need to quantify the fungal fraction of N2O production more precisely. Here, using isotopocule analysis, we assessed the relative contribution of fungi to soil N2O production potential under denitrifying conditions, where key limiting factors of denitrification (soil moisture, soil NO3, and electron donor) were removed. The result showed that the ratio of fungi-derived N2O emissions (RF) was 0.83~4.28% in paddy soils, 13.80~23.21% in vineyard soils, and 15.34~65.94% in vegetable field soils, respectively. This indicated that the bacteria were the dominator of soil N2O production potential in most cases, but fungal pathways could be significant in vegetable field soils. The experiment with bactericide addition showed that inhibitors could affect non-target microorganisms in the SIRIN method. Our further analyses suggest that it is worth to explore the effect of soil organic carbon and microbial synergies on fungi-derived N2O emissions. Full article
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16 pages, 2439 KiB  
Article
Unraveling Carbon and Nitrogen Dynamics in Cattle Manure: New Insights from Litterbag Incubation
by Thierry Morvan, Françoise Watteau and Paul Robin
Nitrogen 2025, 6(3), 56; https://doi.org/10.3390/nitrogen6030056 - 11 Jul 2025
Viewed by 68
Abstract
Management of livestock manure is a major concern due to its environmental impacts; consequently, laboratory-based incubations aim to quantify the C and N mineralization of organic matter (OM) to assess its potential to supply OM to soils. However, they can be limited by [...] Read more.
Management of livestock manure is a major concern due to its environmental impacts; consequently, laboratory-based incubations aim to quantify the C and N mineralization of organic matter (OM) to assess its potential to supply OM to soils. However, they can be limited by methodological constraints, notably the drying process of organic products. While litterbag experiments allow in situ decomposition of OM to be monitored, they often focus only on mass loss on a dry matter basis, which may overestimate biodegradation rates. To address these limitations, we designed an experiment that combined the measurement of material fluxes with the characterization of OM using transmission electron microscopy. Raw and dried farmyard cattle manure were incorporated into the soil and incubated in litterbags (200 µm mesh) for 301 days. The results demonstrated that drying significantly altered the biochemical composition of the cattle manure and influenced its microbial dynamics at the beginning of the incubation. However, this alteration did not influence the C mineralization rate at the end of incubation. Biodegradation alone could not explain C losses from litterbags after day 112 of incubation, which supports the assertion that physical and biological processes transferred large amounts of matter from the litterbags to the soil. These results highlight the importance of conditioning samples before laboratory incubations. Full article
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19 pages, 1898 KiB  
Article
Reducing Nitrogen Input Increases the Efficacy of Soil Nitrogen Utilization by Regulating Cotton–Arbuscular Mycorrhizal Fungi–Soil Nitrogen Interactions
by Hushan Wang, Yunzhu He, Zihui Shen, Mengjuan Liu, Wangfeng Zhang and Xiaozhen Pu
Nitrogen 2025, 6(3), 55; https://doi.org/10.3390/nitrogen6030055 - 3 Jul 2025
Viewed by 168
Abstract
Crops and arbuscular mycorrhizal (AM) fungi can enhance nitrogen (N) transformation and utilization efficiency in the soil, and this effect is regulated by soil N application rates. However, it remains unclear whether the N utilization efficiency of cotton can be improved through the [...] Read more.
Crops and arbuscular mycorrhizal (AM) fungi can enhance nitrogen (N) transformation and utilization efficiency in the soil, and this effect is regulated by soil N application rates. However, it remains unclear whether the N utilization efficiency of cotton can be improved through the symbiosis of cotton with AM fungi under reduced N application rates. Therefore, we conducted 15N labeling experiments using a compartmentalized culture system with Gossypium hirsutum L. as the experimental plant. We established three N treatments (0.15 g·kg−1, 0.10 g·kg−1 and 0 g·kg−1) to investigate the effects of different fertilization rates on N utilization, soil N priming effects, and differences in N accumulation in various parts of cotton plants within the soil–AM fungi–cotton system. The results indicate that under reduced N application, symbiosis between cotton and AM fungi increased the N fertilizer utilization efficiency and the soil N priming effect. Specifically, reducing the fertilization dosage from 0.15 g·kg−1 to 0.10 g·kg−1 increased the N fertilizer utilization efficiency and soil N priming effect by 8.87% and 11.67%, respectively, and decreased the N loss rate by 7.02%. The symbiosis between cotton and AM fungi after N reduction significantly increased N accumulation in the roots and leaves. Moreover, the N fertilizer content accounted for 5.89% of the total N content in roots. Overall, when N application was reduced, symbiosis with AM fungi effectively promoted the rhizosphere N priming effect, which reconciled the conflict in N nutrient allocation within cotton and thus enabled the efficient utilization of soil N. Full article
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3 pages, 145 KiB  
Editorial
Alternatives to Mineral Nitrogen Fertilizers in Agriculture: State of the Art, Challenges and Future Prospects
by Germán Tortosa
Nitrogen 2025, 6(3), 54; https://doi.org/10.3390/nitrogen6030054 - 2 Jul 2025
Viewed by 194
Abstract
Despite being one of the most abundant elements in the biosphere, nitrogen remains a limiting factor in agricultural systems [...] Full article
12 pages, 429 KiB  
Article
What Is the Maximum Nitrogen Dose for the Fertilization of BRS Tamani?
by Anna Beatriz Oliveira Moura, Lucas Gimenes Mota, Luis Carlos Oliveira Borges, Eduarda Caroline Kichel Cuff, Sidney dos Santos Silva, Camila Fernandes Domingues Duarte, Carla Heloisa Avelino Cabral and Carlos Eduardo Avelino Cabral
Nitrogen 2025, 6(3), 53; https://doi.org/10.3390/nitrogen6030053 - 1 Jul 2025
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Abstract
This study aimed to determine the optimal nitrogen (N) fertilization rate per regrowth cycle for Megathyrsus maximus cv. BRS Tamani by evaluating its effects on forage production, nutrient uptake, bromatological composition, and in vitro degradation kinetics. A randomized complete block design with five [...] Read more.
This study aimed to determine the optimal nitrogen (N) fertilization rate per regrowth cycle for Megathyrsus maximus cv. BRS Tamani by evaluating its effects on forage production, nutrient uptake, bromatological composition, and in vitro degradation kinetics. A randomized complete block design with five N doses (0, 40, 80, 120, and 160 kg N ha−1) and seven replications was conducted over two rainy seasons. From December 2019 to April 2020, canopy height and light interception were measured weekly. When canopy height reached 95% of light interception the grass was harvest and productive and morphological structure were measured. Nitrogen fertilization increased forage mass and yield up to the dose of 40 kg N ha−1, resulting in 1959 and 9798 kg DM ha−1, respectively, while nitrogen use efficiency declined at higher doses. Weed mass was decreased at 0 kg ha−1, and chlorophyll index increased with the N dose. Nitrogen and potassium were the most extracted nutrients, with nitrogen uptake being highest at 80 kg ha−1. Fertilization elevated the levels of crude protein, NDIP, cell content, and cell wall-bound protein, while ash content decreased. In vitro fermentation showed a reduced gas volume at higher N doses and improved degradation and digestibility up to 40 kg ha−1. Nitrogen fertilization enhanced the forage yield and quality of BRS Tamani, with 40 kg ha−1 maximizing efficiency and digestibility. Full article
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23 pages, 1379 KiB  
Article
Multi-Class Machine Learning to Quantify the Impact of Nitrogen Management Practices on Grassland Biomass
by Sebastian Raubitzek, Margarita Hartlieb, Philip König, Judith Hinderling and Kevin Mallinger
Nitrogen 2025, 6(3), 52; https://doi.org/10.3390/nitrogen6030052 - 30 Jun 2025
Viewed by 488
Abstract
Grassland biomass yield reflects a complex interaction of management intensity and environmental factors, yet quantifying the relative role of practices such as mowing and fertilization remains challenging. In this study, we introduce a multi-class machine learning framework to predict above-ground biomass on 150 [...] Read more.
Grassland biomass yield reflects a complex interaction of management intensity and environmental factors, yet quantifying the relative role of practices such as mowing and fertilization remains challenging. In this study, we introduce a multi-class machine learning framework to predict above-ground biomass on 150 permanent grassland plots across eight years (2009–2016) in Germany’s Biodiversity Exploratories and to evaluate the influence of key management variables. Following rigorous data cleaning, imputation of missing nitrogen values, feature standardization, and encoding of categorical practices, we trained CatBoost classifiers optimized via Bayesian hyperparameter search and mitigated class imbalance with ADASYN oversampling. We assessed model performance under binary, three-class, four-class, and five-class quantile-based categorizations, achieving test accuracies of 0.76, 0.57, 0.42, and 0.38, respectively. Across all schemes, mowing frequency and mineral nitrogen input emerged as the dominant predictors, while secondary variables such as drainage and conditioner use contributed as well. These results demonstrate that broad biomass categories can be forecast reliably from standardized management records, whereas finer distinctions necessitate additional environmental information or automated sensing to capture nonlinear effects and reduce reporting bias. This work shows both the potential and the limits of machine learning for informing sustainable grassland management and explainability thereof. Frequent mowing and higher mineral nitrogen inputs explained most of the predictable variation, enabling a 76% accurate separation of low and high biomass categories. Predictive accuracy fell below 60% for finer class resolutions, indicating that management records alone are insufficient for detailed yield forecasts without complementary environmental data. Full article
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22 pages, 3142 KiB  
Article
High-Power Closed-Loop Pilot System for Nitric Acid Production Using Inductively Coupled Microwave Plasma
by Ian McKinney, Qi Rao, Elizaveta Grushnikova, Kenshin Ushiroda, Tommy Kesler, Stephen Dvorak and Jovan Jevtic
Nitrogen 2025, 6(3), 51; https://doi.org/10.3390/nitrogen6030051 - 28 Jun 2025
Viewed by 288
Abstract
This work presents the characterization of a large-scale pilot plant for nitric acid production that employs atmospheric-pressure plasma in a closed-loop configuration. The primary objective here is to evaluate the scientific and practical feasibility of using high-power Cerawave™ plasma torch technology, manufactured by [...] Read more.
This work presents the characterization of a large-scale pilot plant for nitric acid production that employs atmospheric-pressure plasma in a closed-loop configuration. The primary objective here is to evaluate the scientific and practical feasibility of using high-power Cerawave™ plasma torch technology, manufactured by Radom Corporation, to enhance the rate of nitric acid production of plasma-assisted nitrogen fixation systems, while achieving specific energy consumption (SEC) comparable to that of smaller-scale setups reported in the literature. We provide a comprehensive overview of the components of the pilot plant, its operational strategy, and the analytical models underlying its processes. Preliminary system optimization results are discussed alongside the outcomes from a controlled batch run. After 30.9 h of operation at 50 kW plasma power, the system produced 198.9 L of nitric acid with a concentration of 28.6% by weight, corresponding to overall SEC of approximately 5.3 MJ/mol. This SEC could be improved to 3.7 MJ/mol using absorption columns with greater than 90% absorption efficiency. Additionally, around 60% of the plasma power was recovered as usable process heat via a heat exchanger. These results demonstrate that plasma-based nitrogen fixation is scientifically and technically viable at higher production scales while maintaining competitive specific energy consumption using microwave plasma. Full article
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16 pages, 993 KiB  
Article
Insights into Pyrite-Based Autotrophic Denitrification: Impacts of the Initial Addition of Organic Co-Substrates at a Low Concentration
by Baokun Xu, Lihong Zhang, Niannian Yuan, Yujiang Xiong and Haolong Fu
Nitrogen 2025, 6(3), 50; https://doi.org/10.3390/nitrogen6030050 - 28 Jun 2025
Viewed by 352
Abstract
Pyrite-based autotrophic denitrification is an effective method for nitrate removal. However, pyrite does not exist alone and is inevitably accompanied by the presence of organic matter in nature, and thus the influence of organic co-substrates on pyrite-based denitrification should be taken into consideration. [...] Read more.
Pyrite-based autotrophic denitrification is an effective method for nitrate removal. However, pyrite does not exist alone and is inevitably accompanied by the presence of organic matter in nature, and thus the influence of organic co-substrates on pyrite-based denitrification should be taken into consideration. Even in a circumstance where no addition of an exogenous organic carbon source is implemented, the introduction of pyrite into groundwater and sediment is capable of stimulating both autotrophic and heterotrophic denitrifying bacteria. In this study, the impact of the initial addition of organic co-substrates on the performance and dynamics of bacterial communities in pyrite-based denitrification processes was evaluated under low-concentration conditions. The findings suggest that the initial addition of organic co-substrates at low concentrations (6–48 mg L−1) could enhance the efficiency of pyrite-based autotrophic denitrification. In contrast, the competitive effects of organic co-substrates became positive with increasing additions of initial organic co-substrates. When an organic co-substrate was added at an initial concentration of 96 mg L−1, the competition between heterotrophic denitrification and pyrite-based autotrophic denitrification was found to be more pronounced than their promotion role as the majority of nitrate was consumed by heterotrophic denitrification. Thiobacillus was the most dominant bacterium in the denitrification system, where pyrite served as the sole electron donor. At the same time, the addition of organic co-substrate under low initial concentration, led to a different microorganism composition. Full article
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12 pages, 3803 KiB  
Article
Partial Substitution of Synthetic Nitrogen with Organic Nitrogen Enhances Soil Fertility, Photosynthesis, and Root Growth of Grapevine Seedlings
by Feng Han, Binxian Jiang, Wenyu Wang, Shuang Wu, Jinggui Wu, Yan Ma and Xiaochi Ma
Nitrogen 2025, 6(3), 49; https://doi.org/10.3390/nitrogen6030049 - 25 Jun 2025
Viewed by 349
Abstract
The overuse of synthetic nitrogen fertilizer in vineyards degrades soil quality and poses environmental risks. Partial substitution of synthetic nitrogen with organic alternatives may enhance grapevine performance and soil sustainability, depending on the substitution rate. This study evaluated the effects of replacing synthetic [...] Read more.
The overuse of synthetic nitrogen fertilizer in vineyards degrades soil quality and poses environmental risks. Partial substitution of synthetic nitrogen with organic alternatives may enhance grapevine performance and soil sustainability, depending on the substitution rate. This study evaluated the effects of replacing synthetic nitrogen with composted spent mushroom substrate at five different rates (0%, 25%, 50%, 75%, and 100%, denoted as NOS, OS-25, OS-50, OS-75, and OS-100, respectively) and a control with no nitrogen fertilization applied (CK), on soil fertility, root growth, and photosynthetic performance in grapevine seedlings. Compared to CK, nitrogen fertilization and organic substitution significantly increased soil electrical conductivity, organic matter, and macronutrient contents, but had no significant effect on soil pH. Organic substitution markedly improved leaf photosynthetic capacity in the summer, with the highest rates observed under OS-25, exceeding CK and NOS by 32.98–63.19% and 13.93–27.38%, respectively. Root growth was also significantly enhanced by organic substitution, with OS-25 exhibiting the best performance. Fine roots in the 0.0–0.5 mm diameter class were dominant, accounting for 56.88–63.06% of total root length and 96.22–97.31% of total root tip count. Increasing substitution rates beyond 25% yielded no further improvements in photosynthesis or root growth. Mantel test analysis indicated strong positive correlations between soil fertility parameters (e.g., alkali-hydrolyzable nitrogen, available phosphorous and potassium) and both photosynthetic efficiency and root growth. These findings suggest that an appropriate substitution rate (i.e., 25%) of organic nitrogen using spent mushroom substrate effectively improves soil fertility, simultaneously optimizing photosynthetic capacity and root growth of grapevine seedlings. Full article
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21 pages, 2277 KiB  
Article
Fertilizer Use Efficiency and Profitability of Maize Varieties with Different Maturity Classes in Semi-Arid Ghana
by Dilys Sefakor MacCarthy, Bright Salah Freduah, Yvonne Ohui Kugblenu Darrah, Samuel Godfried Adiku, Daniel Etsey Dodor, Joseph Kugbe and Alpha Yaya Kamara
Nitrogen 2025, 6(3), 48; https://doi.org/10.3390/nitrogen6030048 - 24 Jun 2025
Viewed by 294
Abstract
Optimizing the efficiency of fertilizer use is critical for sustainable maize production and food security, particularly in smallholder systems. Sub-optimal application rates pose a significant risk of soil nutrient depletion and low productivity. Split plot experiments were conducted across four locations in Ghana’s [...] Read more.
Optimizing the efficiency of fertilizer use is critical for sustainable maize production and food security, particularly in smallholder systems. Sub-optimal application rates pose a significant risk of soil nutrient depletion and low productivity. Split plot experiments were conducted across four locations in Ghana’s Guinea Savannah using seven maize varieties from three different maturity classes. The study assessed the response to nitrogen fertilizer applications (0, 60, 90, and 120 kg N ha−1) regarding yield, Agronomic Efficiency (AEN), Water Use Efficiency (WUE), and economic feasibility. Grain yields across locations and varieties demonstrated a strong linear response to nitrogen fertilization. The 90 kg N ha−1 application generally produced the highest AEN for all sites and varieties. Gross Revenue (GR) and WUE increased with higher N rates, with Value-to-Cost Ratios (VCR) consistently exceeding 2. Applying 90 kg N ha−1 resulted in statistically similar Gross Revenues (GRs) to the 120 kg N ha−1 fertilization. Different maturity classes significantly impacted fertilizer efficiency in semi-arid Ghana, with intermediate varieties outperforming extra-early ones. Though a 90 kg N ha−1 rate was generally identified as the economically optimal rate of N fertilization for the locations, targeted fertilizer recommendations based on maize maturity groups and location are strongly advised. Full article
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