Search Results (329)

Silver maple is a fast-growing, adaptable tree that often frequents wet places and thus can play an important ecological role in replanting schemes. For this, robust, high-quality seedlings are essential. In other tree species, improved seedling quality has been achieved by treating with a combination of humic substances (HSs) and bacterial strains capable of synthesizing auxin phytohormone; the benefit being attributed, without clear supporting evidence, to changes in phytohormone concentrations in the plant. To clarify the uncertainty, we conducted assays of hormones in silver maple seedlings treated with HSs and appropriate bacteria. We hypothesized that any positive additive effects between HSs and bacteria may be due to the ability of HSs to bind phytohormones. This hypothesis was tested and confirmed by using optical absorption spectra of auxins, humic acids, and their combination, as well as by modeling their interactions. The combination of humic substances and bacteria resulted in an approximately 1.5-fold increase in auxin content in roots, accompanied by a marked increase in root weight and length. We suggest this is likely the outcome of HSs binding to bacterial auxins and delivering them to plant roots. Concentrations of cytokinins and abscisic acid also changed under these treatments, which may help explain observed increases in photosynthesis and improved water balance. Full article

Pine plantations on volcanic slopes in Indonesia are considered to be forests and are managed for wood production and slope protection. Logging practices followed by replanting may affect soil health. Existing agroforestry management contracts allow farmers to intercrop with vegetables in young plantations and grow fodder grasses in older ones. However, critical data on hydrological functions in such systems are scarce, while concerns over heavy rainfall and floods increase. We explored the relationships between soil cover, soil carbon, earthworms, soil porosity and infiltration rates in relation to slope class in second-rotation pine plantations around two years of age (intercropped) and at ten-year old pine-grass stages. Five slope classes (0%–8%, 8%–15%, 15%–25%, 25%–45%, and >45%) were compared with three measurement points each. Basic soil chemical and physical characteristics were measured for the 0–10, 10–20 and 20–30 cm layers. Remnant natural forest was available as a historical reference only on the steepest slope class. Organic soil carbon (C_Org) divided by a texture-based reference level was 1.12, 0.32 and 0.49 for natural forest, young and old agroforestry on very steep slopes, respectively. Within pine-based agroforestry relative decline with slope class (1–5) was pronounced in earthworms (biomass −3.46, population −4.18) and infiltration rates (−2.35) while bulk density increased (0.49); for soil carbon (C_Org), nitrogen, available phosphorus and exchangeable Mg effects in the −1.26 to −1.68 range indicated a loss of functional topsoil. Differences with age of the agroforestry systems were much smaller but included a decreasing earthworm population but an increase in mean earthworm weight and partial recovery of the C_Org/C_Ref ratio. Pine-based agroforestry on very steep soils had only 10%–14% of the earthworm biomass and 35% of the infiltration rate of reference natural forest. Understory vegetation biomass and litter layer necromass were more than five-fold higher in the natural forest. Across all samples a higher C_Org and higher earthworm biomass were associated with complementary positive changes in infiltration rates and soil porosity. Regression analysis suggests equal skill of tree cover, soil C_Org, porosity, aggregate stability and earthworms to predict infiltration rates while explanatory variables were strongly correlated. Management of the pine plantations may have to achieve a closer approximation of the conditions in natural forests to effectively protect upper watersheds. Full article

Background/Objectives: The loss of orthodontic microimplants is a common clinical complication that significantly disrupts the continuity of malocclusion treatment. Despite increasing clinical use of microimplant reinsertion, the factors influencing its success remain unclear. The aim of this exploratory systematic review was to examine the available literature regarding clinical outcomes related to the retention of orthodontic microimplants following their reinsertion. Methods: Studies that assessed the success of orthodontic microimplant reinserted were included in the review. Searches were conducted on 27 September 2025, in the following databases: BASE (Bielefeld Academic Search Engine), PubMed, Scopus, and EMBASE. The ROBINS-I (Risk of Bias in Non-randomized Studies—of Interventions) tool was used to assess the risk of bias. Due to heterogeneity of included studies, a narrative synthesis was performed. Results: Four of the 577 studies were included in the review. A total of 305 microimplants were reinserted in 276 patients. The overall success rate ranged from 44.16% to 66%. Analysis indicated a significantly higher success rate in the maxilla (up to 68.60%) compared to the mandible (lowest 36.84%). Furthermore, a narrative synthesis suggests better clinical outcomes for 8 mm long microimplants compared to 6 mm ones, as well as reduced reinsertion success in areas with high cancellous bone density. Regarding the modification of the insertion site, the current data are contradictory; while some studies indicate significant benefits from changing the site (e.g., to the midpalatal suture), others show no statistical difference compared to reinsertion at the same site. Overall, the evidence remains limited and heterogeneous. Conclusions: The current review of the literature on the success of reinsertion of orthodontic microimplants is subject to a high risk of misinterpretation, due to the limited amount of data and the risk of unidentified confounding factors. Further standardized clinical trials are needed to develop unified protocols for these procedures. Other: The review was prospectively registered with the Open Science Framework (OSF); osf.io/tbj2s. Full article

Negative plant–soil feedback (NPSF) drives yield decline in monocropping systems, yet how intraspecific competition modulates NPSF across planting densities remains unclear. We conducted a two-stage plant–soil feedback experiment using five crops (Triticum aestivum L., Zea mays L., Solanum lycopersicum L., Cucumis sativus L., and Panax notoginseng (Burkill) F.H. Chen) with contrasting NPSF intensities under four planting densities (30 × 30 to 8 × 8 cm). Crops with stronger NPSF (P. notoginseng) showed pronounced density-dependent biomass reductions, whereas those with moderate (S. lycopersicum, C. sativus) or low (Z. mays, T. aestivum) NPSF were largely density-insensitive. Given its sensitivity, P. notoginseng was used to explore mechanisms. High-density planting (8 × 8 cm) intensified NPSF, reducing seedling survival by 88.54% and biomass by 56.08% compared with low-density controls (30 × 30 cm). Microbiome profiling showed enrichment of pathogenic Fusarium spp. and depletion of beneficial Humicola spp. under high density. Metabolomic analysis identified linoleic acid and oleamide as key root exudates upregulated under high-density stress, which selectively stimulated Fusarium growth as preferred carbon sources. Collectively, these results reveal a density-dependent feedback in which intensified competition reshapes root exudation, promotes pathogen proliferation, and suppresses beneficial taxa, thereby amplifying NPSF. This provides mechanistic insights into microbially mediated NPSF under density stress and highlights the importance of optimizing planting density to sustain crop productivity. Full article

Accurate identification of plant numbers is crucial for evaluating the effectiveness of mechanical rice seedling transplanting, which directly affects yield estimation and replanting decisions in precision agriculture. Conventional manual counting methods are time-consuming and labor-intensive, which hinders their application in modern agriculture, where efficiency and precision are paramount. Therefore, this study constructed a dataset based on images collected by consumer-grade Unmanned Aerial Vehicles (UAVs) and proposed an improved lightweight detection model named CLR-YOLO (Complex-scene Lightweight Rice-detection YOLO) based on the YOLOv11n. The model replaces the original C3k2 module with C3k2-PConv to improve computational efficiency while maintaining feature extraction capability. Additionally, it reconstructs the neck network using the Heterogeneous Selective Feature Pyramid Network (HSFPN) to optimize the handling of features from both large and small targets. Finally, the PConvHead detection head is designed to enhance feature utilization efficiency and reduce both false positives and missed detections in dense rice seedling scenarios. Experimental results demonstrated that CLR-YOLO achieved an average precision (AP@0.5) of 93.9%. While maintaining comparable accuracy, the model reduced parameters to 1.4 M, computational cost to 3.7 GFLOPs, and model size to 2.9 MB—reductions of 46.2%, 41.3%, and 44.2%, respectively, compared to the baseline model. This model provides significant support for rice seedling detection and offers valuable insights to assist agricultural producers in making subsequent decisions. Full article

Soil fumigation effectively mitigates replanting obstacles induced by intensive cultivation, yet its non-targeted biocidal effects can suppress beneficial microbial activity, potentially compromising agricultural sustainability. Microbial inoculation, as a strategy to supplement beneficial microorganisms, is often employed to restore soil microbial communities. However, in practice, commonly used exogenous microbial consortia exhibit poor adaptability in non-native environments, frequently resulting in limited efficacy. To address this limitation, we propose an ecological intervention based on the reintroduction of indigenous cultivable microorganisms: cultivable microbial communities were isolated from healthy adjacent soils and inoculated into fumigated soils affected by replanting obstacles. The experimental soil consisted of black soil under continuous cropping, collected from Northeast China. The three treatments were continuous cropping soil (control), fumigated continuous cropping soil and fumigated continuous cropping soil after inoculation of indigenous cultivable microorganisms. Using high-throughput sequencing and agronomic–chemical analyses, combined with cross-domain networks and procrustes analysis, we systematically assessed the ecological effects of this approach on microbial restoration and the alleviation of replanting obstacles. The results showed that indigenous cultivable microorganism inoculation significantly increased the richness of bacterial and fungal communities in fumigated soils within 21 days, extending microbial richness and diversity. Furthermore, inoculation accelerated the reconstruction of dominant microbial community structures, with the relative abundance of dominant species reaching up to 80%. Positive synergistic interactions between bacteria and fungi increased by approximately 10%, enhancing network stability. Key bacterial taxa, such as Paenibacillus and Mycobacterium, were significantly correlated with available potassium and phosphorus content, while Micromonospora, Massilia, and Flavisolibacter influenced plant fresh weight, total nitrogen, and potassium accumulation. Key fungal taxa, such as Cryptococcus and Phialemonium, were significantly associated with soil organic matter stability, maize photosynthetic efficiency, plant dry weight, and total phosphorus content. This study confirms the ecological adaptability and functionality of indigenous cultivable microorganisms in soil ecosystem restoration, offering a low-risk, highly effective localized intervention strategy for sustainable agriculture. Full article

The cultivation of asparagus (Asparagus officinalis L.) is plagued by two serious issues: “asparagus decline” and “asparagus replant problem”. The average lifespan of an asparagus plant is 15 to 20 years. However, its productivity decreases after a few years (asparagus decline). Even when these asparagus plants are replaced with new ones, the new plants remain unproductive (asparagus replant problem). The main causes of these problems are a Fusarium infection and asparagus autotoxicity. Several reviews have been conducted on Fusarium. Despite the accumulation of evidence on asparagus autotoxicity in the literature over the past four decades, no review has focused specifically on asparagus autotoxicity. It has been reported that asparagus growth is inhibited by asparagus root residues, leachates, root exudates, and rhizosphere soils. Several phenylpropanoids, including trans-cinnamic acid, p-coumaric acid, caffeic acid, and ferulic acid, have been identified as asparagus autotoxic substances in these root residues, root exudates, rhizosphere soils, growth media, and/or plant tissues. Tryptophan, 3,4-methylenedioxycinnamic acid, and iso-agatharesinol were also identified as asparagus autotoxic substances. These substances may cause autotoxicity by disrupting phytohormone levels, cellular metabolism, impairing membrane function, and by inducing oxidative stress. Although cinnamic, p-coumaric, caffeic, and ferulic acids have been reported to act as antibiotics, these compounds have also been shown to weaken the defense mechanisms of asparagus against pathogen infection, and enhance the Fusarium pathogenicity. The presence of these autotoxic substances, coupled with a Fusarium infection, may create a vicious cycle that worsens “asparagus decline” and “asparagus replant problem”. This is the first review to focus on the asparagus autotoxicity. Full article

Light availability is a key environmental factor influencing plant functional traits and ecological strategies. To investigate how natural populations of Iris pumila respond to contrasting irradiance, we conducted an in situ reciprocal transplant experiment using clonal genotypes from two natural populations, each originating from an open dune and a shaded forest habitat. Leaves collected from each of the replanted and transplanted genotypes were analyzed for structural (specific leaf area—SLA, leaf dry matter content—LDMC), physiological (specific leaf water content—SLWC, photosynthetic pigments) and biochemical (peroxidase—POD, glutathione reductase—GR, phenolics and anthocyanins) traits. Shade-grown individuals developed thinner leaves with higher SLA and chlorophyll content, enhancing light-harvesting efficiency, whereas sun-exposed plants exhibited greater LDMC, increased POD and GR activities and higher anthocyanin levels—traits consistent with enhanced photoprotection under high irradiance. All genotypes exhibited pronounced plasticity to light intensity, with habitat exerting a stronger influence on trait expression than population origin. To evaluate oxidative balance, we proposed the ODAC index (Oxidative Damage to Antioxidant Capacity), which integrates lipid peroxidation with antioxidant capacity. ODAC values revealed consistent population-level differences, with higher values in Dune genotypes across habitats, indicating a constitutively elevated oxidative load relative to antioxidant protection and suggesting differentiation in redox regulation between populations. Overall, leaf trait variation in I. pumila appears to be primarily driven by plastic responses to light conditions, while differentiation in oxidative physiology contributes to functional divergence between populations. Full article

Transplanting status is a significant indicator for rice cultivation, and is essential for field management, food security and agricultural production. However, traditional characterization cannot detect the transplanting status in a timely and effective manner; manual seedling replanting is labor-intensive, has a high cost and is inefficient. This study proposed a detection method for floating seedlings and missed transplanting. The method employed a self-built improved YOLO, namely HGV-YOLO. We leverage a HorBlock module to achieve the splitting of the morphological features of rice seedlings in different dimensions of the backbone network of YOLOv8n, which enabled the network to further enhance the classification and recognition ability of rice seedlings. Furthermore, Grouped Spatial Convolution (GSConv) replaces convolution, and the VOV-GSCSP replaces the C2f modules, reducing the number of parameters and improving the model’s inference speed. To improve the model’s bounding box precision, the WIoU loss function was also incorporated. Finally, we use the least squares method to predict the center point of the rice seedlings. The experimental results indicate that HGV-YOLO achieves a precision of 93.7%, a recall of 83.1%, and an mAP@0.5 of 91.1%. Compared to YOLOv8n, HGV-YOLO reduces Params by 3.1% and GFLOPs by 1.2%, respectively, while improving mAP@0.5 by 2.3%. Compared to YOLOv3-tinyYOLOv5 and YOLOv6, HGV-YOLO achieves increases in mAP@0.5 of 4.6 %, 3.1%, and 2.8%, respectively. In summary, the HGV-YOLO model exhibits a strong performance and provides valuable insights for advancing the autonomous navigation of rice transplanting robotics. Full article

Background/Objectives: Traumatic dental injuries (TDIs), particularly avulsion, require immediate and appropriate first aid to ensure favorable outcomes. Adolescents are often the first responders during school or sports activities, yet their preparedness remains unclear. This study aimed to assess the knowledge, attitude, and awareness of adolescents regarding the emergency management of TDIs. Methods: A descriptive cross-sectional survey was conducted among 400 adolescents aged 15 to 18 years from four randomly selected colleges in Mangaluru, Karnataka. A structured, validated 16-item questionnaire assessed demographic characteristics and domains of knowledge (6 items), attitude (6 items), and awareness (6 items). Data was analyzed using descriptive statistics, chi-square tests, and one-way ANOVA. Results: The mean knowledge score was 2.50 ± 1.04 (95% CI: 2.40–2.60), indicating limited knowledge of dental trauma management; only 26.3% of participants recognized that avulsed permanent teeth can be replanted and 7% identified an appropriate storage medium. The mean attitude score was comparatively high (4.38 ± 1.12; 95% CI: 4.27–4.49), with 88.8% of students willing to assist an injured peer, reflecting a large attitude–knowledge discrepancy (Cohen’s d = 1.47). The mean awareness score was 2.24 ± 1.24 (95% CI: 2.12–2.36), indicating limited awareness of preventive practices, including low mouthguard use (11.5%). Shapiro–Wilk testing confirmed non-normal distribution of KAA scores (p < 0.05); accordingly, non-parametric analyses showed no significant differences across schools, academic streams, gender, or education level (Kruskal–Wallis and Mann–Whitney U tests; p > 0.05). Conclusions: Despite favorable attitudes toward assisting peers, adolescents demonstrated limited knowledge and awareness regarding the emergency management and prevention of traumatic dental injuries, particularly in tooth replantation, appropriate storage media, and mouthguard use, highlighting the need for targeted, school-based dental first-aid education programs. Full article

Accurate real-time detection, geolocation, and counting of palm trees are essential for plantation management, yield estimation, and resource allocation in precision agriculture. Traditional approaches such as manual surveys or offline image processing are labor-intensive and unsuitable for large-scale applications. This study introduces a fully onboard real-time framework that integrates Unmanned Aerial Vehivle (UAV) imagery, the YOLOv12 deep learning model, and a camera projection technique to detect, geolocate, and count palm trees directly during flight. The lightweight YOLOv12n variant, deployed on an NVIDIA Jetson Nano edge device, achieved a detection precision of 92.4%, an average geolocation error of 2.14 m, and a counting error of only 0.2% across 915 trees. Unlike many existing methods that rely on offline processing or offboard computation, the proposed system performs all computations in real time, enabling immediate decision-making for tasks such as plantation density analysis, replanting planning, and yield forecasting. Experimental results demonstrate that the proposed approach provides a scalable, cost-effective, and autonomous solution for modern precision agriculture. Full article

Apple replant disease (ARD) is a soil-borne disease that severely restricts root development in orchards, impedes tree growth, and leads to reduced yields and decreased fruit quality, and thus significant economic losses. Previous studies identified Fusarium oxysporum as a major pathogenic agent. In this study, a T-DNA insertion mutant library of 13,000 F. oxysporum HS2 strains was utilized to screen for mutants with impaired pathogenicity. Nine mutants exhibiting reduced virulence were obtained, and the insertion sites of five mutants were successfully identified. Among them, we selected the HS2-29 strain, which exhibited the most significant decrease in conidial production, for further investigation. Its T-DNA was inserted into the FoPLT gene. RT-qPCR analysis revealed that the expression of the FoPLT gene rapidly increased during the early infection stage, followed by a decline and eventual stabilization. After the deletion of the FoPLT gene, the production of aerial hyphae, conidial yield, conidial length, and conidial diameter all significantly decreased. Stress tolerance assays indicated that FoPLT does not affect cell wall integrity in F. oxysporum. The deletion of the FoPLT gene significantly reduced the pathogenicity of F. oxysporum, and inoculating Malus robusta seedlings with the FoPLT knockout mutant led to significant increases in plant height, root length, fresh weight, and dry weight. These results suggest that the FoPLT gene plays a critical role in the pathogenicity of F. oxysporum. Full article

Background: Continuous cropping severely restricts ornamental gourd productivity through yield decline, microbial dysbiosis, and rhizosphere autotoxin production. This study characterized rhizosphere–root–leaf metabolic reorganization under three-year monoculture, identifying key metabolites, pathways, and a hierarchical cascade for stress adaptation. Methods: Ornamental gourd seedlings were potted in three-year monoculture soil exhibiting replanting disorders. At the seven-leaf stage, rhizosphere soil, roots, and leaves were sampled for untargeted UHPLC-MS/MS metabolomics, followed by PCA, OPLS-DA, differential analysis (VIP > 1, p < 0.05), and KEGG pathway enrichment analysis. Results: A total of 10,792 metabolic features were detected in positive mode and 8992 in negative mode. PCA explained 83.84% of the variance, with PC1 at 56.35% and PC2 at 27.49%, clearly separating the compartments of the study. A total of 1132 shared metabolites were suppressed, with log2 fold changes exceeding −1. Roots displayed activation, with upregulated metabolites outnumbering downregulated ones, and log2 fold changes frequently exceeding +3. Leaves exhibited mean log2 fold changes of approximately +1 for phenylpropanoid intermediates, indole, and terpenoid biosynthesis. The enriched pathways included amino acid metabolism, phenylpropanoid and flavonoid biosynthesis, lipid metabolism, and hormone signaling. Conclusions: Continuous cropping induces a hierarchical rhizosphere–root–leaf metabolic cascade, linking suppressed soil activity with reinforced root defense and coordinated leaf signaling, centered on the phenylpropanoid and flavonoid pathways as key drivers of adaptation. Full article

Cashew (Anacardium occidentale L.), a vital tropical cash crop, may face yield declines in old plantations due to unexplored risks of autotoxicity. This study investigated the allelopathic and autotoxic potential of cashew plant under laboratory and greenhouse conditions. The laboratory bioassays with leaf and stem bark (10–200 mg) demonstrated a strong allelopathic effect, reducing lettuce radicle elongation to 7–46.0% and 9–79% of the control, respectively. Aqueous leaf extract (50 mg/mL) completely inhibited (0%) lettuce seed germination and reduced pepper germination to 42%. However, the root exudate of cashew seedlings did not have any inhibitory effect on the test plants. Greenhouse experiments simulating field litter fall revealed significant autotoxicity in cashew. Cashew seedlings grown in growth media amended with 10% cashew leaf powder exhibited severe growth suppression after 13 weeks, including a reduction in plant height by 58.2% compared to controls. Chlorophyll content, stem girth, and leaf number were also significantly reduced. This study concludes that cashew possesses significant allelopathic properties and a clear potential for autotoxicity, as directly evidenced by the suppressed growth of its own seedlings following the incorporation of leaf powder. These findings identify autotoxicity, mediated through leaf litter decomposition, as a critical risk factor for the replanting success and long-term sustainability of cashew orchards, necessitating further investigation into management strategies. Full article

The People’s Palm Oil Replanting (PSR) program is a national strategic initiative of the Indonesian government that is aimed at rejuvenating aging oil palm plantations to enhance productivity and sustainability among smallholder farmers. However, participation rates remain below policy targets, indicating the presence of constraints beyond financial considerations. This study aims to identify the determinants of smallholder farmers to participate in the PSR program. Using 348 farmers as samples, and by employing SEM-PLS, the study revealed that non-economic factors, proxied by two variables (farm and location), are the most significant factors that determine the decision of farmers in joining the PSR, while governance and technical procedure have no significant impact on farmers’ decisions to join the PSR Program. An interesting finding was also documented in this study, in which the economic factor has no significant impact. Overall, the findings showed that the economic factors alone are insufficient to drive smallholders into joining PSR programs. Instead, institutional support, access to reliable information, governance alignment, and farm conditions are more crucial. Hence, a proper policy mix is required to maximize the impact of the program for the farmers. Full article