Search Results (1,567)

Background: As the body’s first line of defense against environmental stressors, the skin is highly susceptible to UVB-induced damage, which triggers inflammation and impairs barrier function. This study investigates the protective effects of safflower seed oil (SSO) and fermented Artemisia annua oil (FAAO) against UVB-induced skin injury. Methods: The protective effects of SSO and FAO against UVB irradiation was first tested in HaCaT keratinocyte. Subsequently, a UVB-irradiated SKH-1 mouse model was established to evaluate these two oils. RNA-seq analysis was employed to investigate the potential molecular mechanisms by which SSO and FAO repair the skin barrier. Results: In vitro experiments demonstrated that SSO (0.25%) and FAAO (0.1%) significantly enhanced HaCaT keratinocyte viability following UVB exposure while selectively modulating pro-inflammatory cytokine production. In a UVB-irradiated SKH-1 mouse model, standalone SSO or FAAO treatment partially ameliorated epidermal hyperplasia and restored UV-reduced collagen content, while the 1:1 SSO/FAAO combination exhibited superior efficacy in restoring skin architecture, reducing erythema and edema, and suppressing immune cell infiltration. Transcriptomic profiling revealed that the combined treatment promoted structural repair by attenuating inflammatory responses and preserving extracellular matrix homeostasis. Conclusions: Together, these findings underscore the potential of SSO/FAAO as a multifunctional botanical intervention for mitigating UVB-induced cutaneous damage. Full article

Against the backdrop of ongoing climate change, the Qinghai–Tibet Plateau, a region highly sensitive to climatic variation, exhibits intricate spatiotemporal patterns in reference crop evapotranspiration (ET_O), with significant implications for regional water-resource planning. This study selected four agro-climatic zones across the plateau region (TSA, TSH, TAZ, and WCH). Long-term daily observations from 28 meteorological stations were used to estimate ET_O via the FAO 56 Penman–Monteith equation. This extensive dataset enabled robust trend analysis using the Mann–Kendall test, alongside a cloud-model framework, and analyses of sensitivity and contributions to evaluate ET_O’s spatiotemporal evolution, its distributional uncertainty, and the underlying drivers. Results reveal pronounced regional heterogeneity in the interannual variability of ET_O. Annual ET_O declined in TSH and TSA (trend rates of −1.12 and −6.58 mm·10a⁻¹, respectively) and increased in TAZ and WCH (15.76 and 10.74 mm·10a⁻¹, respectively). At monthly and seasonal timescales, ET_O exhibited an unimodal pattern, with the greatest stability in winter and spring and lower stability in summer and autumn. The cloud-model parameter He indicates that ET_O stability is greatest in TSH and weakest in WCH, with He values of 7.15 and 12.29 mm, respectively. Contribution-rate analyses identify T_max and T_mean as the principal determinants of rising ET_O across all study zones, reflecting the largest individual contributions. Temperature-related factors together account for the majority of ET_O variability across the regions, with their absolute contributions ranging from 5.61% to 8.63%, well above those of aerodynamic factors (0.62–1.78%). Stability assessments indicate that ET_O is generally more unstable than its meteorological drivers, with substantial regional disparities, implying that ET_O evolution cannot be explained by a single controlling factor. Overall, the study characterizes the uncertainty in ET_O variations under complex terrain, highlights the value of the cloud model for refined hydrological assessments, and provides a scientific basis for adaptive agricultural water-resource management in the region. Full article

Per- and polyfluoroalkyl substances (PFASs) are persistent environmental contaminants, yet food safety assessments target only a limited subset despite the presence of numerous, often unidentified, compounds in food matrices. The invasive blue crab (Callinectes sapidus), increasingly marketed to reduce ecological and fishery impacts, represents a potential pathway of exposure. As a benthopelagic species, they are prone to accumulate environmental contaminants such as PFASs, so untargeted analysis was carried out by HPLC-HRMS both in the claws and the cephalothorax of 113 blue crabs from the Adriatic Sea (FAO zone 37.2.1). The results revealed the presence of five suspected compounds (1,2,2,3,3,4,5,5,6-nonafluoro-4,6,bis(trifluomethyl)cyclohexane-1-sulfonic acid, VUNTWVAXULT-MOZ-UHFFFAOYSA-N, 1-hydro-pentadecafluoroheptane, 1H-perfluorohexane, SPSZZAMPELOEOG-UHFFFAOYSA-N) other than common PFASs, which have already been fully investigated in our previous work, along with 10 proposed PFOA isomers as tentative candidates. Hierarchical clustering analysis showed distinct patterns of distribution between tissue types in the samples with higher concentrations. All suspected molecules, except one, are found in higher amounts in the claws, which are the parts monitored for legacy PFASs by the current regulation. These findings could improve risk assessment for their potential implications on human health and food safety, as well as have possible significance on toxicological, environmental and regulatory relevance. Full article

Evapotranspiration and crop coefficients are key variables for designing efficient irrigation strategies in tree crops, yet standard tabulated coefficients derived for mature, fully covering orchards often fail to represent the water use of young, high-density hazelnut systems. In recent years, updated crop coefficients for temperate fruit trees, including hazelnut, and transpiration-based models have been proposed, while several studies have successfully linked Vegetation Indices and thermal metrics to single and basal crop coefficients in vineyards, orchards and field crops. However, no information is available on the use of UAV-derived spectral and thermal indices to estimate crop coefficients in high-density hazelnut orchards. This study compares crop coefficients obtained from traditional approaches (the FAO56 single crop coefficient, a transpiration-based coefficient, and ground cover reduction factors) with coefficients estimated from UAV-derived Normalized Difference Water Index (NDWI) and Crop Water Stress Index (CWSI) in a subsurface-drip-irrigated hazelnut orchard (cv. Tonda Francescana^®) with two planting densities (625 and 1250 trees ha⁻¹) in central Italy. Multispectral and thermal UAV surveys carried out between 2021 and 2024 were used to derive canopy geometrical traits, ground cover, NDWI, and CWSI, while a local weather station provided reference evapotranspiration. Empirical relationships were calibrated between crop coefficients and ground cover, NDWI, and CWSI, and mid-season coefficients were applied to estimate daily crop evapotranspiration, which was then compared with the irrigation volumes supplied during the 2024 season. The standard FAO56 crop coefficient (Kc = 0.9) overestimated evapotranspiration, especially at the lower planting density, whereas ground cover-based reduction factors recalibrated for hazelnut and the transpiration-based coefficient provided estimates more consistent with the applied irrigation. UAV-based NDWI- and CWSI-derived crop coefficients produced mid-season values close to those obtained with the transpiration-based method for both planting densities, confirming that spectral and thermal information can effectively capture the combined effects of canopy development and water status. These results indicate that combining traditional methods with UAV-derived indices offers a flexible framework to refine crop coefficients in high-density hazelnut orchards and support more accurate and spatially explicit irrigation scheduling. Full article

The round sardinella (Sardinella aurita Valenciennes, 1847) is a widely distributed migratory pelagic fish inhabiting the Mediterranean Sea and the eastern Atlantic coasts. The species is heavily exploited and represents a valuable resource for global fisheries. In the Mediterranean area, uptakes of round sardinella are particularly high in the Ionian and Levant regions, where landings have shown fluctuating yet significant peaks in recent decades. Given its migratory nature, understanding the connectivity among populations is crucial for delineating appropriate fishery management units. Previous studies employing morphometric, meristic, and molecular analyses have yielded mixed results regarding population structuring. Here, the genetic differentiation among Eastern Mediterranean S. aurita populations was investigated using a multi-marker approach: the mitochondrial cytochrome c oxidase subunit I (COI), cytochrome b (CytB), control region (CR), and 16S ribosomal RNA (16S rRNA), and seven species-specific nuclear simple sequence repeats (SSRs). Overall, the results indicate high genetic diversity coupled with weak population structuring across the Eastern Mediterranean. These analyses aim at clarifying stock boundaries towards supporting sustainable management strategies at a regional scale for this ecologically and economically important species. Full article

Driven by the global rise in animal protein demand, poultry farming has evolved into a highly intensive and technically complex sector. According to the FAO, animal protein production increased by about 16% in the past decade, with poultry alone expanding by 27% and becoming the leading source of animal protein. This intensification requires rapid, complex decisions across multiple aspects of production under uncertainty and strict time constraints. This study presents the development and evaluation of a conversational decision support system (DSS) designed to support decision-making to assist poultry producers, particularly broiler producers, in addressing technical queries across five key domains: environmental control, nutrition, health, husbandry, and animal welfare. As a proof-of-concept study, the reference context is intensive broiler production, covering common floor-rearing housing settings, including environmentally controlled and mechanically ventilated houses. The system combines a large language model (LLM) with retrieval-based generation (RAG) to ground responses in a curated corpus of scientific and technical literature. Additionally, it adds a reasoning component using Paraconsistent Annotated Evidential Logic Eτ, a non-classical logic designed to handle contradictory or incomplete information. Methodologically, Logic Eτ is used as a workflow-level control mechanism to gate clarification, domain routing, and answer adequacy signaling, rather than serving only as a post hoc label on generated outputs. Evaluation was conducted by comparing system responses with expert reference answers using semantic similarity (cosine similarity with SBERT embeddings). The results indicate that the system successfully retrieves and composes relevant content, while the paraconsistent inference layer makes results easier to interpret and more reliable in the presence of conflicting or insufficient evidence. These findings suggest that the proposed architecture provides a viable foundation for explainable and reliable decision support in modern poultry production, achieving consistent reasoning under contradictory or incomplete information where conventional RAG chatbots may produce unstable guidance. Full article

Honey is consumed worldwide for its nutritional and medicinal value, but it can also expose people to toxic metals from environmental contamination. This study analyzes heavy metal levels and assesses health risks using inductively coupled plasma optical emission spectrometry (ICP-OES) in honey collected from three areas in the Kellem Wollega Zone, Ethiopia: Dambi Dollo, Gawo Kebe, and Anafilo. The concentrations followed the order: Zn > Fe > Pb > Mn > Cu > Ni > Cd. Notably, Pb and Cd levels exceeded the WHO/FAO maximum permissible limits. The assessment of non-carcinogenic health risks for adult consumers based on the average daily dose, target hazard quotient, and hazard index indicated that all calculated values were below the critical threshold of 1. This result suggests that honey consumption poses no significant non-carcinogenic risk. In contrast, the estimated target cancer risk and cumulative cancer risk (∑TCR) exceeded safety thresholds, indicating potential moderate lifetime carcinogenic risk from chronic exposure. Likely sources of high metal levels include local mining activities, agricultural inputs, and improper honey storage. Consequently, these findings highlight the need for continuous environmental monitoring, stricter regulations, and improved apicultural practices to ensure honey safety and protect public health. Full article

The date palm Phoenix dactylifera L. is an essential desert food crop. A study was conducted for two years to determine Khalas palm variety yield response to different irrigation regimes. Bubbler system (BS) and enhanced subsurface stonewool drip system (ESDS) were tested in the Kingdom of Bahrain during the period of 2021–2023. A split-plot design was used with BS and ESDS as main plots. Irrigation regimes of 20, 30, and 50% (D2–D3) as subplots compared with crop water requirements (D1) based on Penman Monteith FAO method (PMFM). A smart volume-based control system was used in the 2nd year. The results revealed no significant differences in date yield, average weight of bunches, and soft fruits (Rutab) percent between the BS and ESDS systems (p > 0.05). No significant yield differences were obtained between the irrigation regimes at p > 0.05. Water productivity was highly significant (p = 0.0003 and 0.0001) regarding irrigation regimes for the two years, respectively. Compared to 1st year, the 2nd year yield has improved by 78.5 and 53.5% under ESDS and BS systems, respectively. Apart from seasonal palm yield variations, smart application has the most impact on yield improvement. It is concluded that published palm K_C coefficients may overestimate water requirements by about 50%. More water saving can be attained using smart volume-control application under BS or ESDS systems. It is vital to develop local crop coefficients for date palms under desert and humid climatic conditions similar to Bahrain. Full article

CD8⁺ memory T (T_M) cells are essential for vaccine-induced protective immunity. While transforming growth factor beta (TGF-β) triggers CD8⁺ T_M cell differentiation, the underlying molecular mechanism(s) has yet to be uncovered. We therefore used a well-established cell culture protocol to prepare TGF-β-triggered CD8⁺ T_M cells derived from chicken ovalbumin (OVA)-specific T cell receptor (TCR) transgenic OTI mice, and systematically characterized them using Western blotting, confocal microscopy, flow cytometry and Seahorse assay analyses. We found that TGF-β/T cells exhibit a T_M cell phenotype (CD62L⁺KLRG1⁻) and display long-term survival upon adoptive transfer into mice. To elucidate the signaling circuitry underpinning the observed transcriptional and metabolic changes required to promote CD8⁺ T_M cell differentiation, we measured the expression of several critical factors and found that TGF-β triggered weak mTORC1 (mTORC1^Weak) signaling. mTORC1^Weak signaling in turn led to an increase in the abundance of key transcriptional (TCF1, FOXO1 and Eomes) and metabolic (AMPK-α1, ATG7, ULK1, SIRT1, OPA1 and LAL) factors and an elevation in mitochondrial mass and reliance on fatty acid oxidation (FAO). Our data thus reveal for the first time that TGF-β regulates CD8⁺ T cell memory by triggering mTORC1^Weak-mediated activation of the transcriptional FOXO1-TCF1-Eomes and metabolic AMPK-ULK1-ATG7 pathways. Given that induction of more qualified CD8⁺ T_M cells is one of the ultimate goals of vaccination, our findings identify additional targets critical to TGF-β-induced T cell memory, which may greatly impact future vaccine development for the treatment of cancer and infectious diseases. Full article

Despite the relative hydrological abundance of northwestern Greece, the Arta Plain exhibits persistent spatial and seasonal mismatches between irrigation demand and the effective capacity of the public network. To clarify the factors mediating between available water resources and actual irrigation coverage, this study applies an integrated framework combining quantitative irrigation modelling (FAO CROPWAT 8.0) with qualitative insights from semi-structured interviews with farmers and institutional stakeholders. Annual irrigation demand was estimated at approximately 49.1 hm³. Although this volume could theoretically be met through available surface water, in practice, it is constrained by conveyance losses and infrastructure degradation. Under these conditions, meeting irrigation needs shifts toward private abstractions. The interviews indicate systematic groundwater use for the four dominant crops; as a share of modelled demand, groundwater use corresponds to approximately 41% of irrigation requirements, with higher reliance in perennial and water-intensive crops such as kiwifruit and citrus, where supply stability is critical. These findings indicate that irrigation dysfunctions in the Arta Plain do not stem from hydrological insufficiency but from structural misalignments between infrastructure, institutional organization, and prevailing practices. Addressing these inefficiencies requires coordinated interventions, including targeted infrastructure rehabilitation, adoption of precision irrigation technologies, transparent volumetric monitoring, and participatory management processes. Overall, the study provides a transparent logic for interpreting irrigation performance when monitoring data are incomplete by linking modelled demand with operational delivery constraints and evidence from primary water users. Full article

Contemporary agriculture faces the challenge of sustaining crop productivity amid increasing climatic pressures and simplified agronomic practices, such as monoculture. A field experiment conducted from 2022 to 2024 aimed to determine the effects of meteorological conditions and biological amendments on grain yield and yield structure in three maturity groups of continuous maize (Zea mays L.; FAO 200, 230 and 260). The split-plot experiment included applications of the biological amendments Neosol, Bactim Gleba and UGmax. Deteriorating agrometeorological conditions over the years studied led to a progressive decline in mean grain yield, reaching the lowest value in 2024 (5.06 Mg ha⁻¹). The cultivar belonging to the FAO 260 maturity group exhibited the highest yield potential. Application of all biological amendments resulted in a significant increase in grain yield and thousand-grain weight compared with the untreated control. The most effective treatment was UGmax which increased mean grain yield by approximately 14% and thousand-grain weight by 19% compared with the control. Path analysis revealed hierarchical relationships among components of ear structure and grain yield. The primary direct effect on yield increase was the number of kernels per ear, with thousand-grain weight also contributing significantly depending on maturity group. In later-maturing cultivars, kernel number per ear played the dominant role, whereas thousand-grain weight was more influential in earlier-maturing ones. The economic analysis demonstrated that all of the applied biological amendments generated a positive net profit, with the highest additional revenue obtained following the application of UGmax (160 USD·ha⁻¹). These results confirm that biostimulant application affected grain yield formation, and reduced yield losses under stress conditions. Full article

Climate-driven droughts pose major threats to rainfed farming worldwide. To address these impacts, smart agricultural approaches focusing on conservation practices (CPs) have been widely recommended by institutions such as the Food and Agriculture Organization of the United Nations (FAO), the World Food Programme (WFP), and the International Fund for Agricultural Development (IFAD), among others. This systematic review synthesizes evidence on CPs for climate-driven drought adaptation and the barriers to their adoption in southern Mozambique, where drought is predominant. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, a comprehensive search across four academic databases retrieved 595 records (2000–April 2025), of which 23 were peer-reviewed studies. Data was extracted and analyzed using Microsoft Excel 365 and NVivo 15. As a result, five major CPs were identified: (i) Minimum tillage; (ii) Mulching and residue retention; (iii) Maize–legume (cowpea, groundnuts, pigeon pea, and soybeans) intercropping and crop rotation; (iv) Drought-tolerant maize varieties; and (v) indigenous practices. The systematic review has shown that minimum tillage was associated with 89–90% increase in maize and legume yields; Mulching expands maize yields by 24–59%; intercropping increases maize and legume yields by more than 30%; drought tolerant maize varieties expand yields by 26–46%; and local practices support farming continuity and contribute to resilience, although quantitative yield effects were not reported, with adoption ranging from 75–100%. These findings suggest that minimum tillage and intercropping/crop rotation are the most effective CPs in enhancing yield and resilience. Despite their potential, the adoption is generally low (average around 40%, with some as low as 7–16% for minimum tillage). Reasons for limited uptake include economic, cultural, institutional, biophysical, and technological barriers. These findings highlight the need for integrated policy approaches that combine climate-smart agriculture with indigenous knowledge in southern Mozambique. Full article

With the deepening of international trade and the increasing shortage of land resources, the importance of virtual soil trade in grain has become increasingly prominent. Based on FAO data, this study constructs the virtual soil trade network of wheat, rice, corn and soybean in the major G20 grain trading countries in 2013 and 2023, measures its network characteristics, and uses the exponential random graph model to explore its influencing factors from three dimensions of economic scale, geographical characteristics and resource endowment. The results show that: (1) virtual land trade is essentially a redistribution mechanism of land use pressure, rather than a simple grain flow; (2) the formation of network is driven by exogenous economic factors and endogenous relations; and (3) the role of each country in the network varies with the grain and food category and the development stage, showing a systematic differentiation. It is suggested that the allocation of land resources should be optimized according to the differences in virtual land flows in different countries and food categories. Since the export of virtual land is accompanied by ecological costs (such as deforestation, soil degradation, and water consumption), sustainability must be integrated into trade policies. Rations involve national security strategy, and it is necessary to strengthen domestic productivity and strategic reserves. Feed grain can use the market mechanism to promote trade liberalization and diversification, and reduce the risk of supply chain concentration while giving full play to the global comparative advantage. Full article

Accurately partitioning evapotranspiration (ET) into soil evaporation (E) and plant transpiration (T) is fundamental for improving water resource management, yet robust ET partitioning remains challenging. This study proposes a two-step ET partitioning strategy that first extracts pure E and T samples from long-term ET observations and then uses these samples to independently constrain E and T sub-models. The strategy was implemented in three classical two-source ET models: Shuttleworth–Wallace (SW), Priestley–Taylor Jet Propulsion Laboratory (PT-JPL), and FAO-56 dual crop coefficient (FAO56-DK), and was compared against the conventional one-step calibration approach. Results show that the two-step strategy consistently improves the estimation of ET components and the transpiration fraction (T/ET). For the PT-JPL model, RMSEs of E, T, and ET decreased from 0.04, 0.06, and 0.078 to 0.03, 0.03, and 0.04 mm/30 min, respectively. In FAO56-DK, R² values increased from 0.08, 0.55, and 0.65 to 0.10, 0.65, and 0.75. The RMSE of T/ET declined from 0.21 to 0.18 in SW and from 0.47 to 0.34 in FAO56-DK. The effectiveness of pure samples depends on model structure, with E samples most beneficial for SW, T samples for FAO56-DK, and both for PT-JPL. Overall, these results demonstrate that pure-sample constraints substantially enhance ET partitioning accuracy. Full article

Insects use oviposition secretions containing deterrent signals to regulate intra- and interspecific competition and structure resource partitioning; certain Tephritidae display a striking reversal of this strategy. Herein, we induced female aggregation and oviposition using eggs from the three fruit fly species (B. dorsalis, Z. cucurbitae, Z. tau) and characterized the eggs’ volatile profiles by GC–MS. Within 6 h, female attraction rates to egg stimuli varied significantly by species combination. B. dorsalis females were attracted to conspecific eggs at 39.33%, to Z. cucurbitae eggs at 28.67%, and to Z. tau eggs at 0%. Z. cucurbitae females showed attraction rates of 22.67% to B. dorsalis eggs, 13.00% to conspecific eggs, and 1.33% to Z. tau eggs. Z. tau females exhibited 27.67% attraction to B. dorsalis eggs, 13.67% to Z. cucurbitae eggs, and 18.33% to conspecific eggs. Oviposition assays confirmed strong interspecific effects, with B. dorsalis eggs stimulating the greatest egg-laying. GC–MS analysis revealed distinct volatile profiles, with B. dorsalis eggs producing the highest number of unique compounds (57), potentially explaining their strong behavioral effects. In total, 79 volatiles differed significantly between Z. cucurbitae and B. dorsalis eggs, 73 between Z. tau and B. dorsalis eggs, and 91 between Z. cucurbitae and Z. tau eggs. These findings reveal a behavioral hierarchy where B. dorsalis is the most responsive to egg volatiles, Z. cucurbitae is intermediate, and Z. tau is the least responsive, a ranking that correlates with significant differences in the eggs’ volatile compositions. This study directly links a behavioral status in interspecific oviposition to species-specific egg volatile profiles. Full article