Plant Site Research Articles

Construction of an effective method combining in situ capping with electric field-enhanced biodegradation for treating PAH-contaminated soil at abandoned coking sites

The simultaneous application of in situ capping and electro-enhanced biodegradation may be a suitable method for ensuring the feasibility and safety of reusing abandoned coking sites. However, the capping layer type and applied electric field pattern may affect the efficiency of sequestering and removing pollutants. This study investigated changes in electric current, soil moisture content and pH, polycyclic aromatic hydrocarbon (PAH) concentration, bacterial number, and microbial community structure and metabolic function during soil remediation at abandoned coking plant sites under different applied electric field patterns and barrier types. The results indicated that polarity-reversal electric field was more conducive to maintaining electric current, soil properties, resulting in higher microbial number, community diversity, and functional gene abundance. At 21d, the mean PAH concentrations in contaminated soil, the capping layer's clean soil and barrier were 78.79, 7.56, and 1.57 mg kg−1 lower than those with a unidirectional electric field, respectively. The mean degradation rate of PAHs in the bio-barrier was 10.12 % higher than that in the C-Fe barrier. In the experiment combining a polarity-reversal electric field and a bio-barrier, the mean PAH concentrations in contaminated soil and the capping layer were 706.68 and 27.15 mg kg−1 lower than those in other experiments, respectively, and no PAHs were detected in the clean soil, demonstrating that the combination of the polarity-reversal electric field and the bio-barrier was effective in treating soil at abandoned coking plant sites. The established method of combining in situ capping with electro-enhanced biodegradation will provide technical support for the treatment and reuse of heavily PAH-contaminated soil at abandoned coking plant sites.

Bayesian update of fragility curves for equipment failure probability in seismic probabilistic safety assessment in nuclear power plant

The assessment of equipment failure probability during seismic probabilistic safety assessment (PSA) is a crucial and fundamental component in nuclear power plant seismic PSA. A Monte Carlo program must be formulated to compute the equipment failure probability and uncertainty analysis in seismic PSA. A numerical calculation method is employed for the integration calculation to obtain the conditional failure probability and the uncertainty distribution for each equipment. The fragility parameters of the equipment and the hazard data of the plant site serve as the input parameters for the failure probability of equipment in seismic PSA. In this study, the probability of occurrence of the minimal cut set in equipment failure under earthquake conditions is calculated using the Monte Carlo sampling method, and the uncertainty distribution for each peak ground acceleration interval is presented. Furthermore, we have updated the fragility parameters of the equipment through the utilization of the Bayesian approach. Based on the updated fragility curves, we have recalculated the failure probability of the equipment and compared it with the results before the update.

Derivation of human health and odor risk control values for soil ammonia nitrogen by incorporating solid-liquid partitioning, ammonium/ammonia equilibrium: A case study of a retired nitrogen fertilizer site in China

Nitrogen fertilizer supports agricultural intensification, but its manufacturing results in substantial contaminated sites. Ammonia nitrogen is the main specific pollutant in retired nitrogen fertilizer sites with potential human health and odor risks. However, few studies focus on ammonia nitrogen risk assessment at contaminated sites, particularly considering its solid-liquid partitioning process (Kd) and ammonium/ammonia equilibrium process (R) in the soil. This study took a closed nitrogen fertilizer factory site as an example and innovatively introduced Kd and R to scientifically assess the human health and odor risk of ammonia nitrogen. The risk control values (RCVs) of ammonia nitrogen based on human health and odor risk were also derived. The maximum concentration of ammonia nitrogen was 3380 mg/kg in the unsaturated soil, which was acceptable for human health because the health RCVs were 5589 ∼ 137,471 mg/kg in various scenarios. However, odor risk was unacceptable for RCVs were 296 ∼ 1111 mg/kg under excavation scenarios and 1118 ∼ 35,979 mg/kg under non-excavation scenarios. Of particular concern, introducing Kd and R in calculation increased the human health and odor RCVs by up to 27.92 times. Despite the advancements in ammonia risk assessment due to the introduction of Kd and R, odor risk during excavation remains a vital issue. These findings inform a more scientific assessment of soil ammonia risk at contaminated sites and provide valuable insights for the management and redevelopment of abandoned nitrogen fertilizer plant sites.

Comparison of Results from Two Multi-Criteria Decision-Making Methods for Solar Photovoltaic Plant Site Location: Case Study Rio De Janeiro

Photovoltaic (PV) energy has become a low-cost, renewable, and environmentally friendly alternative to meet increasing energy demand. Nevertheless, there is still a lack of projects in this field in Brazil. Therefore, this study compares the results of two studies on the optimal site selection of PV in the Brazilian state of Rio de Janeiro. These studies used different methodologies to reach the conclusions and the resulting map. First, the final map of both studies was divided into a grid, and then the results of each cell were weighted for PV site selection. To compare the results using the maps, an intersection of the 10% of the grid cells with the best results from each study was formed. The results showed an 83% similarity between the different Multi-Criteria Decision-Making (MCDM) methods. The other part of the comparison focused on the following rank similarity coefficients: Spearman Correlation Coefficient, WS Coefficient, Spearman Weighted Correlation Coefficient, and Blest Correlation Coefficient. All these coefficients had values greater than 0.9, indicating a high degree of correlation between the results of the studies. Therefore, the two studies have a high degree of similarity and a high potential for installing photovoltaic solar power plants in Rio de Janeiro, especially in its intersection zones.

Prospects for commercial tree farming in Colombia

Over the next few decades, the area of planted forests required to satisfy worldwide demand for fiber, timber, and environmental services will need to increase by tens of millions of hectares (Mha). As no single nation can accommodate this expansion, planting sites in multiple countries must be identified. One prospective location is Colombia, which boasts nearly 26 Mha of land suitable for commercial tree planting, fair-to-excellent growth rates for major industrial species, good professional expertise, seaports on the Pacific and Caribbean coasts, and low-to-moderate land prices. Yet, despite these outstanding assets, tree plantations in Colombia cover only 542 thousand hectares (ha), with almost 90 percent located in three distinct regions: the Andean, Orinoco, and Caribbean. Constraints to commercial tree farming in Colombia include cultural preferences for non-wood products in construction and domestic applications, low capacity for processing industrial roundwood, and lack of reliable wood supplies needed for firms to scale up operations. While land prices are attractive in the remote Orinoco Region, they are considerably higher in more accessible regions, such as the Andean and Caribbean, which are closer to markets, mills, and ports. These factors along with security problems, low levels of formal land titling, and property rights issues in rural areas can complicate operations and add risk to investments in plantation forestry. With land for tree planting at a premium and increasing global demand for wood, fiber, and carbon sequestration, Colombia’s plantation sector stands to profit, provided it can successfully address the barriers to its growth.

Optimal siting of solar desalination plants in Crete, Greece employing a GIS/MCDM approach

Water scarcity, amongst the crucial consequences of climate change, leads to more and more dry areas, causing various socio-economic problems, while water demands are higher than ever. To address this challenge, the scientific community turns to alternative energy sources combined with desalination systems. In light of everything mentioned above, this study developed a methodology for the site suitability of solar desalination plants on the island of Crete, Greece. A multi-criteria decision-making (MCDM) approach was used to evaluate a diversity of criteria selected as the most suitable for the spatial planning of solar desalination plants, while GIS was applied to produce the dynamic maps. After the definition of the exclusion areas, followed the classification of the evaluation criteria in a suitability scale from the least suitable to the most appropriate areas. To determine the relative importance of the evaluation criteria, a weighted analysis was taking place by assuming several scenarios. Finally, GIS was exploited to produce the suitability maps. The adoption of the above methodology provided crucial outcomes, valuable for the decision-making process of governors, policymakers, engineers and researchers, especially during the discussion with local communities, which are to be affected directly.

PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plants

BackgroundLysine crotonylation (Kcr) is a crucial protein post-translational modification found in histone and non-histone proteins. It plays a pivotal role in regulating diverse biological processes in both animals and plants, including gene transcription and replication, cell metabolism and differentiation, as well as photosynthesis. Despite the significance of Kcr, detection of Kcr sites through biological experiments is often time-consuming, expensive, and only a fraction of crotonylated peptides can be identified. This reality highlights the need for efficient and rapid prediction of Kcr sites through computational methods. Currently, several machine learning models exist for predicting Kcr sites in humans, yet models tailored for plants are rare. Furthermore, no downloadable Kcr site predictors or datasets have been developed specifically for plants. To address this gap, it is imperative to integrate existing Kcr sites detected in plant experiments and establish a dedicated computational model for plants.ResultsMost plant Kcr sites are located on non-histones. In this study, we collected non-histone Kcr sites from five plants, including wheat, tabacum, rice, peanut, and papaya. We then conducted a comprehensive analysis of the amino acid distribution surrounding these sites. To develop a predictive model for plant non-histone Kcr sites, we combined a convolutional neural network (CNN), a bidirectional long short-term memory network (BiLSTM), and attention mechanism to build a deep learning model called PlantNh-Kcr. On both five-fold cross-validation and independent tests, PlantNh-Kcr outperformed multiple conventional machine learning models and other deep learning models. Furthermore, we conducted an analysis of species-specific effect on the PlantNh-Kcr model and found that a general model trained using data from multiple species outperforms species-specific models.ConclusionPlantNh-Kcr represents a valuable tool for predicting plant non-histone Kcr sites. We expect that this model will aid in addressing key challenges and tasks in the study of plant crotonylation sites.

Unravelling spatiotemporal patterns of solar photovoltaic plants development in China in the 21st century

Solar energy, as an environmentally sustainable power source, is gaining increasing popularity worldwide, driving a surge in the number of solar photovoltaic (PV) plants. China, which has a prominent role in this domain, requires continuous updates to its PV plant data for spatiotemporal analyses. However, there remains an absence of a comprehensive and timely dataset of PV plants across China, leaving PV installation dates and other crucial attributes for comprehensive analyses underexplored. This study leverages Sentinel-2 data as a primary source to propose an optimized deep learning approach for PV plant extraction in China. Statistical analyses of PV plant attributes, including its installation date, size, site slope, and site land cover, were implemented from multiple data sources. Comprehensive analyses were conducted to unravel their spatiotemporal development patterns in the 21st century. The results indicate that as of 2023, China boasts 4347 PV plants, collectively spanning 4146 km2, which are predominantly concentrated in Northwest and North China. 2016 and 2017 marked substantial growth in China’s PV plants, while other years exhibited stability. These plants exhibit the distinct spatial characteristics of installing smaller PV plants on flat terrain covered by vegetation or barren land. Over time, a notable trend in the installation of China’s PV plants has been the increasing preference for establishing larger ones in smooth terrain, with a focus on preventing damage to natural resources. The results reveal China’s optimization of PV plant site selection and construction strategies, aligning with global environmental goals and sustainable energy practices.

Comparison of Filter Media for Wastewater Treatment by a Prototype Trickling Filter

The microbial process of wastewater treatment, attached growth, has significantly improved during recent years. Different filter media are used for microbial attached growth in trickling filters (TF) in the world. One of the main functions of filter media is the high surface area for the attachment of microorganisms to grow. Major wastewater treatment plants use stones as a medium for increasing the surface area in TFs. The proper grade of stone could not always be found within a reasonable distance from the wastewater treatment plant sites, significantly increasing transportation costs. Low-cost substitute materials, instead of stones, can reduce the cost of TF while increasing their treatment efficiency. This study attempted to use crushed waste polythene as a low-cost substitute material for stones. The objectives of this study were to evaluate the performance of prototype TF with crushed waste polythene and; to compare the treatment efficiency of two prototype TFs (with stone and with crushed waste polythene). Two prototype TFs were prepared using plastic barrels (250L) with two types of filter materials. The flow rate of the filters was 922mL/min and trickling filters were evaluated for two months for treatment efficiency. Water samples were taken before and after the trickling filter to determine the treatment efficiency. During the process of trickling filters, COD removal appeared to increase and it may be due to the adaptation of microbes to the new environment. The COD removal was comparatively higher in trickling filters with crushed polythene (62%) than in stones (42.6%). Almost similar results of pH and EC were found in both trickling filters. Total solids in treated wastewater were also almost similar in the two trickling filters. Based on the results of this study, it can be concluded that crushed polythene is a good alternative for stones in trickling filters. 
 Keywords: Crushed polythene, Filter material, Stone, Trickling filter, Wastewater

Soil quality dynamics and degradation potentials as influenced by land use systems in humid tropical soil of Southeastern, Nigeria

An assessment of the effects of land use systems on soil quality dynamics and soil degradation potentials in Umuahia, Southeastern Nigeria was done in this study. Samples of soil were taken between 0 and 15 and between 15 and 30 cm. from coconut plantation (SSP1), palm plantation (SSP2), pineapple orchard (SSP3) and waste dump site (SSP4). The result revealed sand to be the dominant soil fraction in decreasing abundance: Waste dumpsite (WD)≥ Pineapple Orchard (PO) ≥ Coconut Plantation (CP)≥ Oil Palm Plantation (OPP), followed by silt :WD ≥ CP≥ PO ≥ OPP and clay: OPP≥CP≥PO≥WD. Land use systems recorded serious negative effects on soil physicochemical properties, with soil pH ranging between 3.43-7.20, waste dumpsite having neutral and others having less than 6.5-8.5 as the critical limit. The mean values of potentially toxic elements in soils as regard land use systems: Ni, Mn, Fe, Cr, Zn, Pb and Cu were all above the critical limits rendering the soil polluted. The effects of Land-use systems on biochemical indicators of soil degradation ranged from None to slightly (1) -Very highly degraded soils (4), with organic matter (OM) as biological indicator dominating the index. The effect of land use systems on soil degradation was in decreasing trend: WD > CP >OPP> PO constituting 32.5%, 26.7%, 20.8% and 20% respectively. Integrated waste management (IWM) and smart farming techniques should be encouraged for soil quality improvement.

Modeling alternative translation initiation sites in plants reveals evolutionarily conserved cis-regulatory codes in eukaryotes.

mRNA translation relies on identifying translation initiation sites (TISs) in mRNAs. Alternative TISs are prevalent across plant transcriptomes, but the mechanisms for their recognition are unclear. Using ribosome profiling and machine learning, we developed models for predicting alternative TISs in the tomato (Solanum lycopersicum). Distinct feature sets were predictive of AUG and nonAUG TISs in 5' untranslated regions and coding sequences, including a novel CU-rich sequence that promoted plant TIS activity, a translational enhancer found across dicots and monocots, and humans and viruses. Our results elucidate the mechanistic and evolutionary basis of TIS recognition, whereby cis-regulatory RNA signatures affect start site selection. The TIS prediction model provides global estimates of TISs to discover neglected protein-coding genes across plant genomes. The prevalence of cis-regulatory signatures across plant species, humans, and viruses suggests their broad and critical roles in reprogramming the translational landscape.

The response to various concentrations of IBA hormone and transplanting time of potato plantlets cultivar of medians

Potato plants in addition to being able to be propagated through tubers can also be propagated by stem cuttings. The use of the hormone Auxin (IBA-Indole Butyric Acid) is one of the efforts to accelerate the growth of rooting potato stem cuttings. The purpose of the study was to determine the concentration of the IBA (Indole Butyric Acid) hormone and the right transplant age for the growth of plantlet cuttings of the Medians cultivar potato plant. The height of the planting site is ±1,500 m above sea level. The research experimental design to be used is a Complete Randomized Designs with three replications. The result showed that the treatments at the seedling stage have a noticeable effect on the parameters of the number of leaves, the number of saplings, the height of the plant, and the percentage of growth. There is an interaction between the two treatments against all parameters.

Local site conditions, not landscape context, influence restored plant communities within urban contexts

Restoration outcomes are variable, which impairs our ability to plan projects, meet goals, and predict restoration outcomes. Understanding the drivers of this variation is an important research need, especially within urban ecosystems, which support altered abiotic and biotic conditions and face higher rates of loss and degradation than non‐urban areas. Despite the importance of urban areas for restoration, research and practice have largely focused on non‐urban areas. It is unclear if we can extend current knowledge from restoration ecology to urban systems. Here, we surveyed 30 urban prairie restoration plantings across southern Michigan. We collected plant community and site condition data (e.g. soil attributes) and we quantified landscape context as the percentage of urban land surrounding each site. Variation in plant community composition among restorations was related primarily to site‐level factors, such as soil compaction, texture, and water‐holding capacity, rather than landscape context. Non‐prairie species were structured primarily by the local site conditions. There was an increase in non‐prairie richness for sites that experienced warmer local climate conditions, while there was a decrease in non‐prairie richness for sites where soils were less compacted, sandier, and had elevated water‐holding capacity. Prairie species richness responded oppositely. Overall, our study revealed specific factors structuring restoration outcomes in urban contexts and illustrated the importance of local site conditions, not surrounding landscape context, for shaping plant community composition. Restoration practices developed in non‐urban areas should be extended to urban contexts to better understand the impact of local site conditions on plant community development.

Study on sandstorm hazard evaluation for inland nuclear power plant site

With the development of nuclear power industry, the environmental conditions of alternative nuclear power plant sites are becoming more and more diversified, and the inland area can be also selected as potential nuclear power plant site. Dust storm is one of the typical external hazards needed to be considered for inland sites. This study proposes a framework for evaluating the dust storm hazard at a nuclear power site. In this paper, we perform the dust storm hazard analysis based on the probabilistic approach to evaluate the annual exceedance frequency of dust storm under different intensities. An inland area is studied as an example, and the historical data are used for the analysis. We do the hazard analysis to obtain the probability that the dust storm intensity exceeds a range of threshold values within the target site. The final result is given as sandstorm hazard curves, which show the annual exceedance frequency of different dust storm intensities. The hazard curves can be helped to decide design basis or used in external hazard risk analysis for inland nuclear power plant sites.

Direct topsoil transfer to already planted reforestation sites increases native plant understory and not ruderals

Forests restored passively or by tree planting can take many decades to be recolonized by native forest understory plant species, if at all. Our study tested (1) the ability of forest topsoil transfer to accelerate the recovery of native forest plant communities in post‐agricultural reforestation sites after tree‐planting and without previous topsoil removal and (2) the effect of adding combinations of woody debris (WD), shrub plantings, and shade shelters (SS) on top of the transferred topsoil. Five 12.5 × 10 m treatment blocks were established in each of three recipient sites, which included two post‐agricultural reforestation sites, and one abandoned gravel pit site. Each treatment blocks received forest topsoil and a combination of additional treatments. Treatment and control plots were sampled for all vascular species in spring and summer. Native forest plant species richness in topsoil recipient plots was similar (p > 0.05) to that of mature donor forest sites, and significantly higher (p < 0.05) than that of passive control plots in the recipient sites. The plant community composition of all topsoil recipient plots had also become more like the donor forests and less like recipient site controls. Only the unplanted gravel pit‐site increased in non‐native ruderal plant species after topsoil transfer. The addition of WD, shrub plantings, or SS had no significant effect after two growing seasons. We recommend that topsoil should when possible be added where trees have already been planted, allowing for shorter time to canopy closure and thereby higher survival of shade‐adapted understory species.

Small Hydroelectric Power Plant Site Selection for Hydroelectric Energy Production with Geographic Information System: Sivas Kızılırmak Basin Example

Bu çalışmada, Coğrafi Bilgi Sistemi (CBS) tabanlı model yöntemi kullanılarak Kızılırmak Havzası'nda teorik olarak belirlenen mini hidroelektrik santrallerinin (MHES) lokasyonları tespit edilmiştir. Çalışma sonucunda, incelenen havzada kurulu güç potansiyeline göre 100-150 kWh arasında 151, 150-200 kWh arasında 19 ve 200-300 kWh arasında 13 yer tespit edildi. MHES potansiyelinin en yüksek olduğu noktaların Kızılırmak nehrinin ana kolu üzerinde yer aldığı tespit edilmiştir. Bu çalışma, bu havza içerisinde teorik olarak hesaplanabilecek hidroelektrik potansiyelini destekler nitelikte bir çalışmadır. Bu çalışma ile belirlenmiş enerji potansiyeli tahminleri, enerji kaynaklarının değerlendirilmesine yönelik daha fazla araştırma yapılmasını gerektirecek kadar önemlidir.

Diversity and distribution of iron-oxidising bacteria belonging to Gallionellaceae in different sites of a hydroelectric power plant.

Iron (Fe) is the fourth most abundant element on the planet, and iron-oxidising bacteria (FeOB) play an important role in the biogeochemical cycle of this metal in nature. FeOB stands out as Fe oxidisers in microaerophilic environments, and new members of this group have been increasingly discussed in the literature, even though their isolation can still be challenging. Among these bacteria is the Gallionellaceae family, mainly composed of neutrophilic FeOB, highlighting Gallionella ferruginea, and nitrite-oxidiser genera. In the previous metagenomic study of the biofilm and sediments of the cooling system from the Irapé hydroelectric power plant (HPP-Irapé), 5% of the total bacteria sequences were related to Gallionellaceae, being 99% unclassified at genus level. Thus, in the present study, a phylogenetic tree based on this family was constructed, in order to search for shared and unique Gallionellaceae signatures in a deep phylogenetic level affiliation and correlated them with geomorphologic characteristics. The results revealed that Gallionella and Ferrigenium were ubiquitous reflecting their ability to adapt to various locations in the power plant. The cave was considered a hotspot for neutrophilic FeOB since it harboured most of the Gallionellaceae diversity. Microscopic biosignatures were detected only in the CS1 sample, which presented abundance of the stalk-forming Ferriphaselus and of the sheath-forming Crenothrix. Further studies are required to provide more detailed insights on Gallionellaceae distribution and diversity patterns in hydroelectric power plants, particularly its biotechnological potential in this industry.

Operation of a solar power plant with dual-axis solar tracker

The paper evaluates the generation of electrical energy by a solar power plant equipped with a solar tracking system using the ASHRAE clear-sky method for calculating solar insolation. The mathematical algorithm uses the MathCad system with data export and analysis in Microsoft Excel. Collected over a month and the operation period in 2022–2023, data on electricity generation by solar stations characterised by an optimal constant angle of inclination of the solar panel and equipped with a solar tracking system were used. By taking into account the varying ambient temperature, dust content, and solar transmission by the solar panel coating, the given algorithm allowed electricity generation by a solar panel to be forecasted with an average absolute error ranging from 0.22 to 9.8. To determine solar insolation for a specific day and the geographical coordinates of the intended construction site of a solar power plant, a mathematical model was developed using MathCad software. The experimental and computational studies carried out on selected clear days, accounting for varying weather conditions, demonstrated the adequacy of this method and its applicability for forecasting electricity generation with different inclination angles of a solar panel. It was established that a solar power plant with a solar tracking system generated 37% more electricity per year than that with fixed solar panels. The ASHRAE Clear-Sky method for calculating solar insolation allows the amount of electricity generated for a specific region to be estimated with minimal input data. Further research will focus on defining and improving methods for forecasting electricity generation by a solar power plant on overcast days.

Fragmentation and biodiversity change in urban vegetation: A case study of tram lines

AbstractThis study explores the vegetation composition along various tram line sections in Bydgoszcz, Poland, with a focus on understanding the impact of usage, maintenance, and historical development on urban vegetation dynamics. This study addresses this knowledge gap by investigating how these factors influence plant species composition, leading to variations in the prevalence of native and non‐native species. The aim of this study is to contribute to urban ecological knowledge and inform vegetation management strategies. The investigation centers on five tram line sites representing different usage and maintenance scenarios: Unused line, New line, Loop rec, Loop old, and Old line. Through phytocoenological relevés conducted in 2020 and 2021, we measured the plant taxa coverage. Detrended Correspondence Analysis (DCA) and Canonical Correspondence Analysis (CCA) revealed relationships between plant species and tram line sites. The results indicated the presence of 107 plant taxa, with graphical representations highlighting the prevalent species on each tram line section. Older sections showed a higher representation of non‐native plant species, whereas new sections exhibited native species dominance. Moisture‐indicative values suggest an affinity for soils with average moisture content. CCA provides insights into the relationships between plant taxa and site variants and offers valuable implications for urban vegetation management and conservation strategies. The novelty of this study lies in its holistic approach for understanding how multiple factors interact to shape urban vegetation. By illuminating urban ecological dynamics and informing decision‐making processes, this study contributes to urban planning, ecology, and biodiversity conservation. Additionally, this study fills a knowledge gap by providing insights into the unique ecological dynamics and species composition of tram lines in urban environments. Unlike previous research in Central European countries focusing on planted vegetation, this study explored the spontaneous spread of plants and successional patterns along tram lines, enhancing our understanding of the environmental conditions created by tram lines that influence vegetation composition and development.

Viability and agronomic efficiency of Grammy Crop® (Azospirillum brasilense) applied to Triticum aestivum L. as seed treatment

Bacteria of the genus Azospirillum can colonize root surfaces, enhancing biological nitrogen fixation. This study aimed to assess the viability and agronomic efficiency of the inoculant Grammy Crop® Liquid (Azospirillum brasilense) applied to wheat crops as seed treatment. Four experiments were installed in regions with different edaphoclimatic conditions, namely Lapa, Porto Amazonas, Ponta Grossa, and Palmeira, Paraná State, Brazil. A randomized block design was used, with nine treatments and four replications. Treatments were as follows: untreated control; 50% nitrogen (N) requirement; 100% N requirement; Nitro 1000 (reference treatment); Grammy Crop® Liquid at 50, 100, 150, and 200 mL 40 kg−1 seed; and Grammy Crop® Peat at 100 g 40 kg−1 seed. Root and shoot fresh and dry weights were evaluated at 35 days after emergence, chlorophyll index at stem elongation and heading, and grain yield and N content after harvest. Grammy Crop® Liquid at 150 and 100 mL 40 kg−1 seed increased shoot fresh weight in crops grown in Porto Amazonas and Palmeira, respectively. At all sites, the chlorophyll index was higher in plants treated with Grammy Crop® Liquid. Furthermore, Grammy Crop® Liquid increased grain yield by more than 20% in all experiments. N content was also higher at all sites in plants treated with one of the four rates of Grammy Crop® Liquid. It is concluded that Grammy Crop® contributed to improving wheat development and yield.