Search Results (203)

Understanding the long-term impact of agricultural practices on soil parameters is essential for improving soil quality and sustainability. Soil Organic Carbon (SOC) and total Nitrogen (N) are key indicators due to their influence on crop productivity, nutrient cycling, and microbial activity. This study assesses the effects of tillage intensity (inversion vs. non-inversion) and organic amendments (manure vs. no manure) on SOC and total N dynamics in Mediterranean rain-fed arable systems. Data were collected over a ten-year field trial (2011–2020) in Catalonia, under cereal–legume rotation and organic management, focusing on two soil depths (0–10 and 10–20 cm). Fertilization was the main driver of SOC and N changes. Non-inversion tillage promoted topsoil accumulation and microbial colonization, especially during the first period (2011–2015). The combination of manure and reduced tillage led to faster and greater SOC increases. Moreover, initial SOC levels were negatively related to SOC changes in the topsoil. These results revealed the combination of manure and non-inversion tillage as the more suitable management practice to preserve soil quality in organic arable rain-fed systems, emphasizing the importance of understanding the impact of agricultural management in the long-term under Mediterranean conditions. Full article

Nitrous oxide (N₂O), a potent greenhouse gas (GHG) and major contributor to climate change, is primarily released through agricultural activities. To better understand and quantify how land management practices, local climate conditions, and soil physicochemical properties affect these agricultural N₂O emissions, we conducted a review of the peer-reviewed literature on N₂O emission from corn [Zea mays L.] and soybean [Glycine max (L.) Merr.] fields. We evaluated the seasonal, cumulative effects of three nitrogen fertilizer rates—no fertilizer (0), low (<188 kg N ha⁻¹), and high (188–400 kg N ha⁻¹)—tillage practices, local climate (precipitation and temperature), soil texture, and soil pH on soil N₂O emissions. This meta-analysis included 77 articles for corn and 22 articles for soybean fields. Average N₂O emissions during the corn rotation were 2.34 and 2.45 kg N₂O-N ha⁻¹ season⁻¹ under low and high N fertilizer rates, respectively, and were both substantially (p < 0.0001) greater than those of non-fertilized corn fields (0.91 kg N₂O-N ha⁻¹ season⁻¹). Non-fertilized soybean fields showed seasonal N₂O emissions of 0.74 kg N₂O-N ha⁻¹, while low fertilizer application triggered a sharp increase (1.87 kg N₂O-N ha⁻¹) in N₂O emissions by roughly 2.5 times (p < 0.028). Increased temperature did not significantly (p > 0.05) affect the emission of N₂O from fertilized or non-fertilized corn fields. Regardless of fertilization and tillage practices, our analysis, including Principal Component Analysis, revealed that in corn fields, precipitation and soil pH are the dominant factors influencing soil N₂O emissions. This study uniquely quantifies the influence of climate–soil factors, such as precipitation and soil pH, alongside agronomic practices, on N₂O emissions, offering new insights beyond previous reviews focused primarily on fertilizer rates or tillage effects. Full article

To reduce the friction coefficient and wear in tillage machinery during operation, biomimetic textures with different densities inspired by the short-tailed shrew’s claw were designed using biomimetic principles. These textures were applied to the surface of 65Mn steel using laser processing technology. This study investigated the effects of these bionic textures on the tribological properties of 65Mn steel surfaces in two environments: dry friction and soil friction. Friction and wear tests were conducted, and the friction coefficient, wear morphology, and wear quality were measured using a friction and wear testing machine, a scanning electron microscope (SEM), and a three-dimensional profilometer. The results indicate that under dry friction conditions, the tribological properties of specimens with bionic textures were significantly improved compared to non-textured specimens. The frictional properties of the specimens with bionic textures were optimized at a texture density of 20%, with an average coefficient of friction reduction of 24%. Under soil friction conditions, the samples with bionic textures demonstrated better tribological performance at densities of 20% and 30% compared to the non-textured samples, with decreases in the average coefficient of friction of 1.3% and 2.9%. The special surface structure of the bionic short-tailed shrew claw can effectively reduce friction heat effects and wear, demonstrating significant anti-friction and anti-wear performance. Full article

Pesticide residues pose risks to the environment and human health. Little is known about how tillage and straw management affect herbicide behavior in soil. This study investigated the effects of different tillage practices under varying straw incorporation scenarios on the degradation of five commonly used herbicides in a long-term experimental field located in the maize belt of Siping, Jilin Province. Post-harvest soil samples were analyzed for residual herbicide concentrations and basic soil physicochemical properties. A human health risk assessment was conducted, and a controlled incubation experiment was carried out to evaluate herbicide degradation dynamics under three management systems: straw incorporation with traditional rotary tillage (ST), straw incorporation with strip tillage (SS), and no-till without straw (CK). Residual concentrations of atrazine ranged from not detected (ND) to 21.10 μg/kg (mean: 5.28 μg/kg), while acetochlor showed the highest variability (2.29–120.61 μg/kg, mean: 25.26 μg/kg). Alachlor levels were much lower (ND–5.71 μg/kg, mean: 0.34 μg/kg), and neither nicosulfuron nor mesotrione was detected. Soil organic matter (17.6–20.89 g/kg) positively correlated with available potassium and acetochlor residues. Health risk assessments indicated negligible non-cancer risks for both adults and children via ingestion, dermal contact, and inhalation. The results demonstrate that tillage methods significantly influence herbicide degradation kinetics, thereby affecting environmental persistence and ecological risks. Integrating straw with ST or SS enhanced the dissipation of atrazine and mesotrione, suggesting their potential as effective residue mitigation strategies. This study highlights the importance of tailoring tillage and straw management practices to pesticide type for optimizing herbicide fate and promoting sustainable agroecosystem management. Full article

Conservation agriculture is increasingly recognized as a sustainable alternative to conventional farming in temperate regions due to its benefits in terms of reducing soil erosion, enhancing water retention, and mitigating climate change. Despite these benefits, these practices are not broadly adopted, partially due to perceived weed management challenges in conservation systems. This paper explores how a conservation system that uses cover crops and non-inversion tillage (chiselling) influences the weed flora abundance and evolution before cover crop termination and over a complete rotation cycle (sunflower–winter wheat–maize–sunflower) in southeastern Romania when compared to conventional tillage (ploughing). Overall, the conservation system significantly reduced weed density by 31%, preserving a higher diversity and evenness (H′ = 0.75, E = 0.46) by the end of the rotation cycle and an evenly distributed weed community compared to the conventional system, where the opportunistic species Veronica hederifolia exhibited dominance. Full article

Pressure on agroecosystems is increasing with rising agricultural demand, pushing Brazilian agriculture toward more sustainable systems that prioritize soil health. This study aimed to evaluate whether long-term no-till management and inoculation with Azospirillum brasilense influenced soil bioindicators; chemical, biological, and enzymatic attributes; and how these attributes correlated with crop productivity in a rotational system. The experiment also assessed the residual effects of phosphate fertilization (initially applied in 2013 and reapplied in 2020) and its interaction with inoculation on soil phosphorus fractions and crop performance. This study was conducted on Dystrophic Red Oxisol in the low-altitude Cerrado region under 20 years of no-tillage management, using a randomized block design in a 5 × 2 factorial scheme: five phosphorus doses (0, 30, 60, 120, and 240 kg ha⁻¹ P₂O₅) and inoculated or non-inoculated grasses, with four replicates. The results showed that inoculation influenced dry matter (DM) production and nutrient cycling, improving soil health despite lower fertility and total DM. The correlation between bioindicators and productivity suggests that soil health indicators can be used to monitor system sustainability. No consistent effects of inoculation or phosphate fertilization were observed for some crop components, indicating complex interactions under long-term conservationist systems. Full article

Promoting conservation tillage (CT) is central to advancing ecological transformation in China’s agricultural sector under the “Dual Carbon” strategy. However, despite strong institutional support, the adoption of CT technologies—especially the “Lishu Model” integrating no-till and straw mulching—remains uneven. This study applies the Cognition–Attitude–Behavior (CAB) framework to examine the behavioral mechanisms underlying CT adoption, drawing on a 2024 household survey in Lishu County, Jilin Province. Descriptive and regression analyses reveal that, while cognitive awareness is positively associated with adoption, only attitudinal alignment has a significant predictive effect. The findings identify a distinct group of “informed non-adopters”, underscoring that knowledge alone does not ensure behavioral uptake. These results highlight the importance of motivational alignment over information provision in shaping sustainable technology adoption and suggest the need for more psychologically grounded policy interventions. Full article

In recent decades, the use of off-road vehicles (ORVs) for challenging outdoor trips has increased significantly worldwide, impacting soil, vegetation, and wildlife. This study was conducted in Sde Zin, Israel, a hyper-arid desert zone. The area has a high concentration of trails created unintentionally over the years by ORVs. The study sought to examine whether the degraded trails will be restored naturally or if there is a need for active intervention. Five ORV trails were selected, with a plot of 40 × 15 m in each trail, comprising three subplot treatments: one session of disk tillage, no tillage, and an adjacent control subplot. Soil and vegetation parameters were measured for two consecutive years. The results indicated that the measured soil parameters did not differ between treatments except for the degree of soil compaction, which was a significant factor in plant survival and restoration. The highest H′ Shannon diversity was found in the disk-tillage treatment, where the plant assemblage differed from that of the non-tillage and control subplots. The conclusion derived from this study is that active management to prevent soil compaction is needed in severely degraded desert areas to stimulate soil and vegetation restoration processes. Full article

The slope lands of the Loess Plateau represent a critical region impacted by soil erosion, which directly contributes to the globally recognized high sediment concentration in the Yellow River. However, the extent to which sloped farmland contributes to soil loss remains scientifically contentious. In this study, farmland with an initial slope gradient of 20° was selected for the experiment, and three decades of field monitoring data (1990s–2020s) and the Universal Soil Loss Equation (USLE) model were used for comparative calculation. The data indicated that the model-predicted soil loss rate in sloped farmland from the 1990s to the 2020s was calculated to be 62.48 t·ha⁻¹·yr⁻¹. Field-measured values averaged 45.67 t·ha⁻¹·yr⁻¹, whereas the current value is approximately 15.00 t·ha⁻¹·yr⁻¹. Anthropogenic disturbances, including tillage, manual weeding, and ovine grazing, mean that the topsoil of slope farmland has undergone cumulative displacement of 450~870 cm in 30 years, which is resulting in progressive slope gradient reduction from 20° to 5°. The soil erosion rates exhibited exponential decay characteristics, and finally gradually reached the level of flat farmland. When using the USLE model, the evolving slope gradient must be incorporated, rather than the slope angle extracted by DEM. Therefore, the key finding of this study is that the primary sources of soil loss in the Loess Plateau are non-agricultural slopes and gullies. Conversely, soil erosion on slope farmlands does not constitute a critical problem requiring urgent intervention. This finding should attract the attention of the local agricultural sector. Full article

Suitable strip-tillage effectively enhances crop productivity and soil quality in Northeast China, yet conventional strip-tillage machines suffer from inadequate soil fragmentation. To address this issue, this study developed a bionic auxiliary soil-crushing device for the equipment. Specifically, we conducted a theoretical analysis of the soil-crushing blade to identify the key structural parameters affecting operational performance, along with their optimal value ranges. The blade tooth structure was designed following the claw-toe contour of the Oriental mole cricket (Gryllotalpa orientalis) for enhanced efficiency. A two-factor (working width and working depth), three-level central composite design (CCD) experiment was carried out using EDEM 2021 discrete element simulation software, taking the soil fragmentation rate and operational resistance as response variables. The results suggested that optimal performance was achieved at a working width of 40.66 mm and a working depth of 50 mm. Field experiments demonstrate that the soil fragmentation rate increased as the operational speed rose. The addition of the auxiliary device contributed to a soil fragmentation rate of 94.54%, bringing about an 11.54% improvement compared to the non-equipped machine. This outcome also validated the accuracy of the simulation experiments. This research provides technical and equipment support for the further development of conservation tillage practices. Full article

Soil degradation is a critical challenge to global agricultural sustainability, driven by intensive land use, unsustainable farming practices, and climate change. Conventional soil monitoring techniques often rely on invasive sampling methods, which can be labor-intensive, disruptive, and limited in spatial coverage. In contrast, non-invasive geophysical techniques, particularly ground-penetrating radar, have gained attention as tools for assessing soil properties. However, an assessment of ground-penetrating radar’s applications in agricultural soil research—particularly for detecting soil structural changes related to degradation—remains undetermined. To address this issue, a systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. A search was conducted across Scopus and Web of Science databases, as well as relevant review articles and study reference lists, up to 31 December 2024. This process resulted in 86 potentially relevant studies, of which 24 met the eligibility criteria and were included in the final review. The analysis revealed that the ground-penetrating radar allows the detection of structural changes associated with tillage practices and heavy machinery traffic in agricultural lands, namely topsoil disintegration and soil compaction, both of which are important indicators of soil degradation. These variations are reflected in changes in electrical permittivity and reflectivity, particularly above the tillage horizon. These shifts are associated with lower soil water content, increased soil homogeneity, and heightened wave reflectivity at the upper boundary of compacted soil. The latter is linked to density contrasts and waterlogging above this layer. Additionally, ground-penetrating radar has demonstrated its potential in mapping alterations in electrical permittivity related to preferential water flow pathways, detecting shifts in soil organic carbon distribution, identifying disruptions in root systems due to tillage, and assessing soil conditions potentially affected by excessive fertilization in iron oxide-rich soils. Future research should focus on refining methodologies to improve the ground-penetrating radar’s ability to quantify soil degradation processes with greater accuracy. In particular, there is a need for standardized experimental protocols to evaluate the effects of monocultures on soil fertility, assess the impact of excessive fertilization effects on soil acidity, and integrate ground-penetrating radar with complementary geophysical and remote sensing techniques for a holistic approach to soil health monitoring. Full article

Sandy loam, characterized by inherently poor water retention capacity, necessitates the strategic utilization of fallow periods for soil conservation, with cover cropping serving as an effective ecological measure for nutrient retention. This study was conducted in the northern foothills of the Yinshan Mountains in Inner Mongolia, China, where the soil type is predominantly sandy loam. This study was conducted to elucidate the dynamic impacts of cover crops on soil nutrient profiles and their subsequent effects on following cash crops. Cover crops were cultivated during the fallow period and incorporated into the soil prior to spring tillage before planting the subsequent potato crop. Throughout the year following cover crop sowing, monthly measurements of soil organic matter (SOM) and nitrate nitrogen (${\mathrm{NO}}_3^{-}$-N) were performed to track temporal nutrient fluctuations. Concurrently, the biomass and yield of the subsequent potato crop were monitored to evaluate agronomic outcomes. The results indicate that the winter wheat treatment (WW) increased SOM by 2.54% after one year and elevated ${\mathrm{NO}}_3^{-}$-N levels by 110.17% prior to potato planting. Subsequent potato cultivation exhibited yield enhancements of 2.51–3.83 t ha⁻¹ relative to non-cover crop systems. Notably, 20% nitrogen reduction in basal fertilization did not compromise tuber yields while significantly improving nitrogen use efficiency by 8.7–12.3 percentage points and partial factor productivity of nitrogen by 14.6–18.9 kg kg⁻¹, indicating optimized nitrogen stewardship under cover crop-mediated soil improvement regimes. Full article

This study examines how nitrogen and phosphorus fertilization influence soil microbial necromass carbon (MNC) content of farmland on the Loess Plateau, central Gansu. Based on an extensive (6 years) experiment, a control (CK, no fertilization) and three treatment groups employing different fertilization methods, namely, nitrogen fertilization (N, 115 kg·ha⁻¹), phosphorus fertilization (P, 115 kg·ha⁻¹), and combined fertilization of nitrogen and phosphorus (NP, 115 kg·ha⁻¹ each), were set up in this research. The results show that, in the tillage soil layer (within a depth range of 0–20 cm), the application of nitrogen and/or phosphorous fertilizers can significantly reduce the ratio between glucosamine and muramic acid (GluN/MurA) (p < 0.05), with a reduction range of 12.70–35.29%. Phosphorus fertilization can also reduce the content of fungal necromass carbon (FNC) and MNC and their contributions to SOC (p < 0.05). In addition, phosphorus fertilization and combined fertilization of nitrogen and phosphorus can both increase the content of bacterial necromass carbon (BNC) and contribute to the content of SOC (p < 0.05). Primarily because of the reduced accumulation efficiency of FNC, the combined fertilization of nitrogen and phosphorus can significantly decrease the accumulation efficiency of MNC. In the non-tillage soil layer (within depth range of 20–40 cm), both nitrogen fertilization and the combined fertilization of nitrogen and phosphorus can increase the content of FNC and MNC in soils and their impacts on SOC (p < 0.05). The addition of nitrogen and/or phosphorus fertilizers does not alter the accumulation efficiency of soil MNC. Total phosphorus (TP), total nitrogen (TN), soil pH, nitrogen-to-carbon ratio of microbial biomass (MBN/MBC), leucine aminopeptidase (LAP), and β-glucosidase activities (BG) are the primary factors that affect changes in FNC, BNC, and MNC. In summary, phosphorus fertilization alone decreases soil MNC contribution to SOC and reduces carbon pool stability in the tillage layer. On the contrary, both nitrogen fertilization and the combined fertilization of nitrogen and phosphorus can increase the content of soil MNC in the non-tillage layer and its impact on SOC, thus improving the stability of SOC. Full article

This study examines the impact of agroecological practices on soil quality and crop yields in small-scale farming, focusing on the combination of microbial soil inoculation, crop rotation, and conservation tillage methods. Conducted at the SZIA Agroecological Garden MATE in Gödöllő, Hungary, the experiment used 12 plots, employing various conservation tillage techniques, including soil loosening with and without microbial inoculants, as well as no-till systems with and without inoculation. Six of the plots were inoculated with beneficial bacteria to enhance nitrogen fixation, phosphorus mobility, nutrient solubilization, phytohormone production, and pathogen suppression. In 2024, peas (Pisum sativum L.) were planted following potatoes in a small-scale market-oriented crop rotation, with the continuous monitoring of crop performance and soil characteristics. This ongoing study focuses on evaluating the long-term effects of crop rotation on key agricultural parameters, aiming to optimize practices over time. Statistical analysis (one-way ANOVA) revealed no significant differences across most parameters (p > 0.05), except for total sugar content (p < 0.05), which aligns with expectations given the limited tillage prior to the study. The standard significance level of p < 0.05 was used to balance error risks, ensure adequate statistical power, and maintain consistency with established agricultural research practices. However, the study trends indicated potential long-term benefits, particularly in plots with microbial inoculants, where pea yield and pod size showed improvement compared to non-inoculated and control plots. Microbial inoculants may show long-term effects, as they gradually improve soil health, support microbial communities, and enhance nutrient cycling, which takes time to become noticeable. These findings highlight the potential advantages of combining conservation tillage with microbial inoculants, suggesting that this combination could foster enhanced soil health and productivity over time. The novel setting of this study underscores the importance of long-term monitoring to fully capture the benefits of agroecological interventions, emphasizing their role in achieving sustainable agricultural practices and improving small-scale farming outcomes. Full article

One of the important factors negatively affecting the yield of row crops is weed infestations. Using non-contact detection methods allows for a rapid assessment of weed infestations’ extent and management decisions for practical weed control. This study aims to develop and demonstrate a methodology for early detection and evaluation of weed infestations in maize using UAV-based RGB imaging and pixel-based deep learning classification. An experimental study was conducted to determine the extent of weed infestations on two tillage technologies, plowing and subsoiling, tailored to the specific soil and climatic conditions of Southern Dobrudja. Based on an experimental study with the DeepLabV3 classification algorithm, it was found that the ResNet-34-backed model ensures the highest performance compared to different versions of ResNet, DenseNet, and VGG backbones. The achieved performance reached precision, recall, F1 score, and Kappa, respectively, 0.986, 0.986, 0.986, and 0.957. After applying the model in the field with the investigated tillage technologies, it was found that a higher level of weed infestation is observed in subsoil deepening areas, where 4.6% of the area is infested, compared to 0.97% with the plowing treatment. This work contributes novel insights into weed management during the critical early growth stages of maize, providing a robust framework for optimizing weed control strategies in this region. Full article