Search Results (10,074)

The interaction between mycorrhizal fungi and mycorrhiza helper bacteria (MHB) constitutes a critical symbiotic interface that drives key functions within terrestrial ecosystems, profoundly influencing plant nutrient acquisition, stress resilience, and soil ecological processes. Although mycorrhizal symbiosis has been extensively studied, the complex interactive network between these fungi and MHB—which act as functional “enhancers” and “stabilizers”—and its systemic application potential remains insufficiently integrated and elucidated. This review aims to provide a comprehensive overview of advances in this field. First, it delineates the functional traits of major mycorrhizal fungal types and their inherent functional reliance on MHB. Subsequently, it dissects the core mechanisms underlying mycorrhizal fungi–MHB interactions through four interconnected dimensions: signal recognition, nutrient exchange, physical association, and defensive synergy. This analysis reveals the foundation for constructing a stable plant–fungus–bacteria functional continuum. Furthermore, the review comprehensively evaluates the empirical applications and demonstrated efficacy of this interactive system in enhancing agricultural productivity, promoting forestry cultivation, and advancing ecological restoration. Finally, by identifying prevailing research gaps spanning molecular mechanisms to field applications, it offers a critical perspective on future research priorities. It also discusses strategies for fostering interdisciplinary innovation to accelerate biotechnology development based on this symbiotic partnership, aiming to provide novel microbial solutions for addressing global challenges such as agricultural sustainability and ecosystem recovery. Full article

Successful management of agricultural nitrogen (N) during crop growth has major implications for food supply, energy and environment. Need for N during crop growth is not a linear function. As an example, for corn growth, the need for N is S-shaped (sigmoid) during the growing stage, which suggests that for optimum use of the fertilizer, continual adjustment of the amount of fertilizer as the plant is growing is necessary. The most common practice is to add extra fertilizer, well beyond what the plant needs, even though the extra fertilizer results in significant environmental damage. Sustainable practice would balance crop productivity and profitability with negative environmental effects. The challenge for developing sustainability is to meet the N requirements of the growing crop with fertilizer, as well as timing of irrigation and additives application, proper dosing, and related management actions during a crop season. In this review article, we begin with the role of fertilizers in ensuring food supply for the burgeoning human population. Soil parameters, including soil biochemistry, determine the transformation of N in the fertilizer to nutrients suitable for plant uptake. There are several options for applying fertilizer to soil, and this has a bearing on the fertilizer fate. We examine current methods and technologies that farmers can use to optimize fertilizer use, keeping abreast of the temporal dependence for N needed for a growing crop. The widespread adoption of technologies for sustainable agriculture is lacking. Why such strategies are not being used extensively and a discussion of what is needed to enhance fertilizer optimization concludes the article. Full article

Babassu (Attalea speciosa) is one of the most abundant palm species in the Brazilian Amazon and an important unconventional crop, playing a key socioeconomic role due to the commercial exploitation of its oil-rich almonds. However, approximately 90–93% of the fruit biomass—mainly mesocarp, epicarp, and endocarp—is generated as underutilized residue. This systematic review aims to analyze extraction methods, phytochemical composition, and antioxidant capacity of bioactive compounds derived from different babassu fractions. Following PRISMA guidelines, searches of five databases (Embase, ScienceDirect, Scopus, PubMed, and Web of Science) retrieved 410 records, of which 23 met the inclusion criteria. The results show that, although research has predominantly focused on the almond fraction, non-edible parts contain significant levels of phenolic compounds, flavonoids, phytosterols, and other bioactive metabolites with antioxidant properties. Green and non-thermal extraction technologies, such as ultrasound-assisted extraction (UAE), supercritical CO₂ extraction (SC-CO₂), and pressurized liquid extraction (PLE), demonstrated advantages in improving extraction efficiency while reducing solvent consumption and thermal degradation. Overall, the available evidence indicates that babassu residues represent a promising and still underexplored source of bioactive compounds. Their valorization may contribute to sustainable extraction strategies, waste reduction, and the development of value-added products within agricultural and bioeconomic systems. Full article

Wetlands are among the planet’s most productive ecosystems, yet they are increasingly imperiled by intersecting global challenges, particularly agricultural expansion, food security demands, and climate change. 1 This study investigated the spatial extent of floodplain wetlands and assesses Land Use/Land Cover (LULC) dynamics in the uMngeni catchment using multi-temporal Landsat imagery for the years 2000, 2010, 2020, and 2024. 2 Seven key land cover classes were classified, which included agriculture, bare land, built-up areas, forest, grassland, wetlands, and water bodies, using the Random Forest (RF) classification incorporating spectral indices (NDVI, NDWI) and topographic variables (slope and aspect) on Google Earth Engine (GEE). The overall accuracies for the respective years were 88.98% (2000), 91.23% (2010), 84.21% (2020), and 86.55% (2024), with corresponding Kappa coefficients of 0.82, 0.84, 0.78 and 0.80. 3 The findings show a significant 37% decline in wetland area from 2000 (2978 ha) to 2024 (1874 ha), with the most pronounced loss (46%) occurring between 2000 and 2010. Built-up areas increased by 38% over the same period, while agriculture peaked in 2010 (9312 ha) before declining to 7632 ha by 2024. The dominant transitions involved wetlands and grasslands being replaced by urban land and bare surfaces, particularly along the floodplain edges. 4 These patterns reflect intensifying human pressure on wetland ecosystems. Targeted interventions, such as enforcing buffer zones, regulating land use near water bodies, and restoring degraded wetlands, are critical to conserving ecosystem services and achieving sustainability outcomes aligned with the Sustainable Development Goals. Full article

Seed governance has become increasingly important in agricultural sustainability, food security, and innovation policy. Many countries have shifted toward stronger intellectual property (IP) protection in plant breeding; however, the institutional consequences of these reforms on seed governance structures remain insufficiently examined. In this review, I analyze the recent transformation of seed governance in Japan in the context of two major legal reforms enacted in 2018 and 2020. Herein, I examine how these reforms have reshaped the institutional architecture of seed governance, based on a comparative institutional review and empirical evidence from nationwide surveys of prefectural governments conducted in 2022 and 2024. The results indicate that Japan’s seed governance system is transitioning from a publicly coordinated seed supply model to a multi-level governance structure that integrates IP protection, regional branding strategies, and strategic management of plant variety circulation. These findings suggest that recent reforms represent a diversification of seed systems, governance functions have been reconfigured across different levels of government, and national IP regimes interact with prefectural agricultural policies and regional economic strategies. Therefore, this review provides important insights into how contemporary seed governance evolves through interactions among IP systems, agricultural innovation policies, and regional development strategies. Full article

The development of agricultural tourism (agritourism) has gained increasing importance as a tool for improving rural economies and promoting sustainable natural resource management. This study proposes a scenario-based framework for agritourism development assessment using hierarchical principal component analysis in Iran. National spatial and statistical datasets, geographic information, topographic maps, and climatic data were used. Sub-criteria related to five main criteria including accessibility, risk and safety, environmental conditions, tourism attractions, and tourism facilities were prepared and normalized. First-level principal component analysis was independently applied to each criterion to reduce data dimensionality and generate weighted potential maps. Then, second-level principal component analysis was used to produce the final agritourism development potential map. To evaluate model robustness, a weight-based sensitivity analysis was performed. In addition, risk-oriented, development-oriented, and environment-oriented management scenarios were defined to examine the effects of alternative priorities on agritourism potential patterns. Results showed that the first principal component explained approximately 44% of the variance in accessibility, 48% in environmental conditions, 69% in tourism attractions, 90% in tourism facilities, and 38% in risk and safety, while the first three components explained more than 80% of variability for most criteria. At the second level, the first component explained about 64% of the total variance, indicating its dominant role in shaping the spatial pattern of agritourism potential. The proportion of the very high potential class in accessibility, risk and safety, tourism attractions, tourism facilities, and environmental conditions was 25%, 19.7%, 15.8%, 6.6%, and 1.8%, respectively, whereas only about 10% of the country fell into this class in the final map. Sensitivity analysis revealed that accessibility and environmental conditions had the greatest influence on model stability, whereas tourism attractions showed the most stable behavior. Scenario analysis indicated that the very high potential class increased to 13.9% under the development-oriented scenario, while it decreased to 10% and 9.1% under the environment- and risk-oriented scenarios, respectively. Full article

Soil erosion is a global ecological and environmental issue that severely degrades terrestrial ecosystems. A range of soil and water conservation measures, notably the construction of check dams in gullies, have been widely implemented to mitigate soil erosion and sustain agricultural productivity. In this study, Ningxia province in China was selected as the study area. High-resolution Google Earth imagery and digital elevation model (DEM) data were integrated with three representative deep learning semantic segmentation models—FCN, U-Net, and DeepLab v3+—to achieve automatic extraction and spatial distribution analysis of engineered check dams. Model performance was quantified using overall accuracy (OA), F1-score, and mean intersection over union (mIoU), among other metrics. The results demonstrated that U-Net outperformed FCN and DeepLab v3+ across all evaluation metrics. On the test dataset, U-Net’s F1-score exceeded those of FCN and DeepLab v3+ by 3.89% and 7.08%, while mIoU increased by 2.17% and 6.57%, demonstrating superior boundary delineation. Based on the precise area extraction by U-Net, a piecewise empirical equation was subsequently developed to relate predicted silted land area to actual sediment volume, achieving R² values of 0.92 for small dams and 0.96 for large dams. Spatial distribution analysis revealed that check dams are predominantly concentrated in the southern mountainous and hilly-gully regions, moderately distributed in the central areas, and relatively sparse in the northern plains. Overall, this study demonstrates the feasibility and effectiveness of deep learning-based semantic segmentation for automated check dam mapping and sediment volume estimation. Full article

Balancing wetland conservation with food security is a critical challenge for developing countries. This study compares land use change and its impacts on soil properties in two hydrologically distinct wetlands: the rain-fed Jinchuan Peatland in China and the flood-fed Kilombero Valley Floodplain (KVFP) in Tanzania. Using remote sensing data from 1990 to 2018 and soil physicochemical analysis, we found divergent reclamation trajectories. Wetland conversion has slowed in China but accelerated in Tanzania’s KVFP due to population pressure. Our results reveal a fundamental mechanism: rain-fed wetlands, lacking external nutrient replenishment, experience significantly greater soil degradation after conversion compared to flood-fed wetlands, which benefit from continued alluvial sediment inputs. Both sites showed post-conversion declines in soil moisture, total organic carbon (TOC), and total nitrogen (TN), alongside increased pH and bulk density. However, soil fertility loss was markedly more severe in Jinchuan than in KVFP. This disparity is attributed to the inability of rain-fed systems to replenish nutrients externally, whereas flood-fed KVFP benefits from continued alluvial sediment inputs. Our findings elucidate a key mechanism: flood-fed wetlands possess a natural resilience to agricultural disturbance through hydrological replenishment, making them potentially more suitable for sustainable utilization in food-insecure nations. Consequently, we propose that wetland management policies must be customized based on water source type and national development context, advocating for the targeted, science-based utilization of flood-fed wetlands as a strategic approach to reconcile food production with ecosystem preservation in regions like Tanzania. Full article

Industrial grain silos built in reinforced concrete during the twentieth century constitute an important yet often overlooked component of industrial heritage worldwide and represent significant reservoir of embodied materials and carbon within the built environment. In the context of sustainability, circular economy strategies, and low-carbon development, their preservation and adaptive reuse are increasingly considered potential alternatives to demolition and new construction. This study presents the first systematic inventory and analysis of Romania’s twentieth-century reinforced-concrete grain silo network, based on archival research and extensive fieldwork conducted across 130 locations, where 201 silos were identified and analysed. This research study examines their spatial distribution, typologies, construction characteristics, technological facilities, and current condition in order to assess their heritage value and reuse potential. The results show that most silos were constructed between 1930 and 1990, strategically located near transport networks and high-productivity agricultural regions. While a large proportion remains operational, others are progressively affected by obsolescence and abandonment. Their robust reinforced-concrete structures, large storage capacities, and strategic locations suggest significant potential for life cycle extension and adaptive reuse. This study provides a transferable methodological framework for the sustainable management of large-scale agro-industrial heritage in comparable international contexts. Full article

The growing demand for sustainable materials as alternatives to conventional petroleum-based plastics has accelerated research on alginate-based films. Alginate is a naturally occurring polysaccharide, mainly extracted from brown algae and widely used in the bioindustry due to its biodegradability, film-forming ability, biocompatibility, and functional versatility. However, a comprehensive understanding of global research trends and emerging directions in this field remains limited. This study presents a bibliometric analysis of global research on alginate-based films from 2001 to December 2024, aiming to identify key trends, collaboration patterns, thematic structures, and future directions. The dataset was retrieved from Scopus and analyzed using VOSviewer (v.1.6.20). A significant increase in publications has been observed over the past five years. The International Journal of Biological Macromolecules was identified as the leading journal. “Agricultural and Biological Sciences” dominated the field. China was the most productive country, while Jhong-Whan Rhim was the most prolific author. Jiangnan University was the most active institution. Keyword analysis revealed three themes: mechanical enhancement, food packaging, and biomedical applications. Recent trends indicate a growing focus on sustainable food packaging development. Full article

Food and medicine homology (FMH) substances are increasingly utilized as nutritional and medicinal resources in sustainable livestock production. Their active ingredients include polysaccharides, flavonoids, and terpenes, which may positively affect livestock meat quality by maintaining gut microbiota homeostasis, enhancing intestinal barrier function, and facilitating nutrient absorption, as well as regulating key signaling pathways such as mechanistic target of rapamycin (mTOR), AMP-activated protein kinase (AMPK), and nuclear factor-κB (NF-κB). Notably, the meat quality improvement can also be indirectly achieved via the gut–muscle axis. Gut microbiota metabolites, including short-chain fatty acids (SCFAs), bile acids (BAs), and amino acid derivatives, modulate microbial homeostasis, intestinal barrier function, and nutrient absorption through the gut microbiota–metabolite axis, gut–immune axis, and nutrient absorption–signaling axis. These processes remotely regulate skeletal muscle metabolism, inflammation, and fiber type transformation, ultimately influencing meat tenderness, flavor, juiciness, and nutritional value. Despite their potential to reduce reliance on antibiotic growth promoters and enhance meat quality, multiple challenges persist, including complex component profiles, elusive mechanisms, undefined dose–effect relationships, inadequate standardization, insufficient safety evaluation and scarce direct trials on livestock meat quality endpoints. This review summarizes FMH substances that modulate the gut–muscle axis in meat quality regulation across different animal species and outlines their application prospects, aiming to facilitate antibiotic-free agriculture, the development of green functional feeds, and sustainable animal husbandry. Full article

Magnetic sensors offer a physically grounded and non-invasive approach to probing biological processes that remain inaccessible to optical, electrochemical, and radio-frequency techniques in complex agricultural environments. In recent years, advances in both classical and quantum magnetic sensors have enabled the detection of bioelectromagnetic signals across plants, soils, animals, and aquatic systems, spanning spatial scales from ionic currents to organ-level electrophysiology and population-level dynamics, positioning magnetometry as an emerging modality within the broader biosensor landscape. This review surveys the evolution of magnetic sensing technologies for agricultural and animal systems, from robust classical sensors used in navigation and soil mapping to quantum-enabled platforms, including Optically Pumped Magnetometers (OPMs) and Nitrogen-Vacancy (NV) centers, capable of resolving pT to fT biomagnetic signals. We synthesize the characteristic amplitudes, frequency ranges, and physiological origins of agriculturally relevant magnetic signals, and critically assess how techniques originally developed for medical magnetoencephalography, magnetocardiography, and low-field magnetic resonance imaging (LF-MRI) are being translated into field-deployable agricultural applications. Beyond sensing hardware, we highlight the essential role of artificial intelligence in extracting weak biological signals from dominant environmental noise, enabling synthetic gradiometry, low-field image reconstruction, and scalable interpretation in unshielded settings. Finally, we discuss how the integration of magnetic biosensing with digital twins supports predictive, multiscale monitoring of plant, animal, and ecosystem health. Together, these developments position magnetometry as an enabling technology for next-generation biosensors in precision and sustainable agriculture. Full article

Water conservation and grain yield improvement are primary objectives for sustainable agricultural development in arid and semi-arid regions. Variety selection, planting density, and irrigation management represent crucial agronomic practices that regulate root–crown growth and grain yield in maize. A two-year field experiment was carried out from 2021 to 2022 in Tongliao, Inner Mongolia Autonomous Region, China. Two widely cultivated maize varieties, DK159 and ZD958, were used as test materials. Two planting densities were designed: 60,000 plants ha⁻¹ (D1, local farmers’ conventional density) and 90,000 plants ha⁻¹ (D2). Five irrigation levels were established: 450 mm (I5, local farmers’ practice, CK), 360 mm (I4), 270 mm (I3), 180 mm (I2), and 90 mm (I1). We investigated the interactive effects of variety, planting density, and irrigation amount on dry matter accumulation pre- and post-silking, root spatial distribution characteristics, and the coordination mechanism of root–shoot growth in maize under shallow-buried drip irrigation. The results indicated that grain yield under DK159 was 5.37–6.69% higher than that under ZD958, and the yield under D2 was 13.32–15.89% higher than that under D1. At the D1 density, no significant difference in grain yield was observed between I2 and I5, with yields ranging from 12.90 to 13.92 t ha⁻¹. At the D2 density, grain yield under I3 was statistically similar to that under I5, ranging from 15.54 to 17.39 t ha⁻¹. Compared with local farmers’ conventional planting density and full irrigation regime, increasing planting density and reducing irrigation amount altered the vertical root distribution of maize. The proportion of roots distributed in the 0–20 cm topsoil layer decreased, while appropriate water deficit markedly increased root proportion in the 40–60 cm subsoil layer. Increasing planting density and moderately reducing irrigation effectively promoted pre- and post-silking dry matter accumulation while maintaining a high harvest index (HI). At silking stage, the root–shoot ratio increased initially and then stabilized with increasing irrigation amount. At maturity, the root–shoot ratio gradually decreased and tended to be stable as irrigation increased. Therefore, the adoption of water-efficient maize varieties, combined with appropriately increased planting density and optimized irrigation regimes, can coordinate root–shoot relationships in the early growth period, facilitate early root establishment and late-stage nutrient accumulation, and thus improve maize yield. Under the conditions of shallow-buried drip irrigation in the supplementary irrigation area of the West Liaohe Plain, the adoption of water-saving maize varieties, appropriately increased planting density, and optimized irrigation regimes can coordinate the developmental relationship between root and above-ground growth, promote early root development and late-stage nutrient accumulation, and thereby simultaneously increase maize grain yield. These results provide practical theoretical and technical references for achieving high-yield and water-saving maize production under similar ecological conditions. Full article

Urbanisation and impervious-cover expansion are reshaping riparian landscapes, particularly in mountain cities where steep terrain concentrates development along valley floors. This study examined spatiotemporal land-cover change within the regulated riparian corridors of Thimphu City, Bhutan, over a 25-year period from 1997 to 2022 using Landsat imagery, Random Forest classification and Google Earth Engine. Results show substantial transformation of riparian land cover, with impervious cover increasing from 26.14% to 32.63%, equivalent to an overall increase of 24.83%, while agriculture/barren/low-vegetation declined from 30.59% to 26.01%, equivalent to an overall decrease of 14.98%. A modest increase in detectable vegetation cover was also observed, although this should be interpreted cautiously because the study measured land-cover extent rather than vegetation condition, floristic composition or ecological quality. Classification performance was robust, with overall accuracies ranging from 89.9% to 94.5%, exceeding the commonly accepted 85% benchmark, although uncertainty remains in narrow riparian corridors due to Landsat’s 30 m spatial resolution. Mann–Kendall analysis provided supplementary evidence of monotonic land-cover trends, but the limited number of temporal observations means these results should be interpreted as indicative, rather than definitive. Spatial analysis revealed uneven transformation, with the southern valley recording the greatest increase in impervious cover. These findings demonstrate sustained development pressure within legally regulated riparian buffers and highlight the need for routine spatial monitoring, place-specific buffer management and stronger integration of riparian protection into urban planning. The study provides a quantitative baseline for assessing future riparian land-cover change and supporting more resilient land governance in rapidly urbanising Himalayan mountain cities. Full article

Phytochemical-assisted green synthesis of silver nanoparticles offers a sustainable alternative to conventional fabrication routes by utilising plant-derived metabolites as multifunctional reducing, capping, and stabilising agents. Polyphenols, flavonoids, tannins, alkaloids, and related biomolecules mediate the reduction of Ag⁺ to Ag⁰ under mild conditions while controlling nucleation, growth, and surface stabilisation, thereby dictating nanoparticle size, morphology, and colloidal stability. This review establishes clear links between phytochemical composition and the mechanistic pathways governing nanoparticle formation and biofunctional performance. Variations in extract chemistry influence electron transfer dynamics, surface functionalisation, and physicochemical properties, ultimately modulating biological activity. Enhanced antimicrobial and antioxidant effects arise from synergistic interactions between the silver core and phytochemical capping layers, promoting membrane disruption, reactive oxygen species generation, and biomolecular interference. Despite promising applications in antimicrobial coatings, food preservation, agriculture, and anticancer systems, key challenges remain, including compositional variability, limited mechanistic standardisation, and insufficient toxicological evaluation. Nonetheless, phytochemical-assisted synthesis provides a tunable and sustainable platform for AgNP production, aligning nanomaterial design with green chemistry principles while enabling multifunctional bioactivity. By integrating phytochemical composition, mechanistic synthesis pathways, and structure–activity relationships across diverse applications, this review provides a critical framework for the rational design, standardisation, and scalable development of next-generation phytochemical-mediated AgNP systems. Full article