Search Results (2,669)

The aim of the study was to determine, under field conditions, the effects of O₃, H₂O₂, and fungicide protection on potato late blight severity, SPAD values, tuber yield, and mineral composition, and additionally to assess whether the number of ozone applications modifies selected tuber quality traits. Two complementary field experiments were conducted in 2017 and 2018. In the main experiment, control, fungicide protection, ozone fumigation, and foliar H₂O₂ treatments were compared with respect to late blight severity, SPAD response, yield, and macro- and micronutrient contents in tuber peel and flesh. In the supplementary experiment, single, double, and triple ozonation were compared in relation to starch content, vitamin C concentration, and tuber mineral composition. Fungicide treatment most effectively limited late blight symptoms, particularly at later assessment dates, and was associated with the highest tuber yield. SPAD values, yield, and several mineral traits were strongly dependent on the study year, indicating a major contribution of environmental conditions. The response to O₃ and H₂O₂ was selective and less stable than that observed under fungicide protection. In the supplementary experiment, the number of ozone applications did not significantly affect starch content. Vitamin C concentration depended mainly on the study year, whereas tuber mineral composition depended mainly on year and tissue type. The results indicate that, under field conditions, fungicide protection remained the most effective option for limiting late blight and achieving the highest tuber yield, whereas O₃ and H₂O₂ should be regarded as factors capable of modifying selected plant and tuber traits, but not as direct substitutes for standard chemical protection. Full article

Fragmented farmland and persistent cloud–snow interference in the high-altitude cold regions of the Qinghai–Tibet Plateau, coupled with unstable crop phenology, pose significant challenges for accurate cereal and oil crop identification using single-date imagery or low-dimensional features. This study focused on the agricultural areas of the Shigatse River Valley in the Qinghai–Tibet Plateau. Leveraging the Google Earth Engine (GEE) cloud computing platform, we integrated Sentinel-2 remote sensing data with field survey sampling data to extract the planting structures, distribution patterns, and cultivated areas of cereal and oil crops. Three machine-learning classifiers—Random Forest (RF), Support Vector Machine (SVM), and Gradient Boosted Trees (GBT)—were evaluated to investigate the influence of different feature sets and classifier combinations on mapping accuracy. The results indicated that when all feature bands were utilized, the RF classifier achieved the highest performance, with an overall accuracy of 84.77% and a kappa coefficient of 0.64, outperforming both the SVM and GBT models. The incorporation of phenological and topographic features further enhanced classification accuracy, providing a robust framework for identifying cereal and oil crops in high-altitude environments. Based on the optimal model estimation, the cultivated areas in 2021 were 581.52 km² for highland barley, 295.39 km² for wheat, and 386.81 km² for rapeseed. Their spatial patterns closely aligned with the valley-terrace topography and local irrigation conditions. These findings offer novel insights and a reliable methodology for the rapid extraction of crop spatial information in regions with complex planting structures. Full article

This study addresses the early detection of water stress in grapevines (Vitis vinifera L. cv. Monastrell), a key challenge for precision irrigation. The main objective is to assess the feasibility of VIS–NIR hyperspectral imaging (400–1000 nm) to anticipate water stress, relating the spectral signal to stem water potential. This study was developed over two campaigns, in 2024 and 2025, using 18 potted plants. In 2024, eight vines were irrigated, and the remaining 10 were subjected to water-deprivation treatments, whilst in 2025, all plants were irrigated, but half at a control dose and the rest at a reduced dose equivalent to 33% of the control. Images were acquired over five dates in June 2024 and over seven in June 2025 using a Specim IQ camera; stem potential was also measured to provide a physiological reference. Individual time series were developed, calculating the Mahalanoubis distance in a PCA space. Results revealed a change window between 10 and 13 June, consistent with the divergence in water potential from 17 to 24 June. PCA highlighted spectral regions related to changes in pigments, nitrogen and water content as main indicators of water stress. We conclude that HSI is a promising tool for early water stress detection. Full article

Although prior research focused on Baghdad has identified variability in fine particulate matter concentrations (PM_2.5) and their origins, there remains uncertainty in the identification of the relative importance of local and long-range PM_2.5 sources. This study analysed hourly air pollutant concentrations and meteorological data from three monitoring sites over the year 2019 in Baghdad, namely Al-Wazeriya (WZ), Al-Andalus Square (AS), and Al-Saiydiya (SA) sites, to determine the nature of PM_2.5 sources. Multi-stage statistical models were utilised to address inherent data limitations and varying sampling dates caused by limitations on power supplies to monitoring equipment, thus improving the identification of urban particulate sources. Bivariate polar plots, concentration ratios, and conditional bivariate probability function (CBPF) plots were used to identify local sources of PM_2.5. Potential Source Contribution Function (PSCF) and concentration weighted trajectory (CWT) methods were employed for distant and regional source apportionment. Domestic diesel generators are suggested to be the primary local source of PM_2.5 pollutants in Baghdad’s WZ area (categorised as residential with significant traffic volumes). Gasoline- and diesel-fueled motor vehicles significantly contribute to PM_2.5 concentrations in the AS and SA areas, which are commercial areas with the latter having close proximity to motorway sources. Additional impacts result from gas flaring and thermal power plants in these regions. Long-range PM_2.5 transport may be attributed to the combustion of low-quality heavy fuel oils from several potential sources, including Nahrawan brick factories, oil fields, and Al-Musayyab thermal power plants, primarily towards the northeast, east, and southeast of Baghdad. Transboundary contributions to PM_2.5 concentrations in Baghdad were also identified, from industrial sources in western Iran and eastern Syria, as well as dust particulates, and oil and gas production from southwestern Iran’s Khuzestan Province, Kuwait, and the Arabian Gulf. Low to medium wind speeds (1–4 ms⁻¹) were linked with the highest source contributions, suggesting local emission sources to be the most significant contributors to high PM_2.5 at the studied sample locations. Full article

Background: Tectoridin is a prominent isoflavone glycoside found in herbs such as Belamcanda chinensis (L.) DC and Iris tectorum Maxim. It has drawn increasing research interest due to its promising pharmacological activities. However, no critical review to date has determined whether its broad pharmacological activity stems from binding to specific targets or from the non-specific, broad-spectrum activity commonly associated with flavonoids. This paper provides a comprehensive review of tectoridin, covering its plant sources, pharmacological effects, pharmacokinetics, and toxicity, alongside an in-depth analysis of the mechanisms underlying its pharmacological effects and strategic recommendations for advancing its clinical translation. Methods: A systematic literature search was conducted in PubMed, Web of Science, Google Scholar, SciFinder, and CNKI for publications from 1968 to 2025 using keywords including tectoridin, tectorigenin 7-O-glucoside, traditional uses, ethnopharmacology, pharmacology, bioactive compounds, biological activity, pharmacokinetics and toxicity. Results: Tectoridin exhibits a broad spectrum of pharmacological activities, including anticancer, anti-inflammatory, hepatoprotective, antidiabetic, antioxidant, cardiovascular, and estrogenic effects. Pharmacokinetic studies have shown rapid tissue distribution and slow elimination; the aglycone metabolite tectorigenin often displays enhanced bioactivity, and chemical modifications may further improve efficacy. Toxicity data suggest relative safety in medicinal food contexts, but comprehensive in vivo studies remain limited. Tectoridin shows promise for treating cancer and inflammatory diseases; however, further research is needed to elucidate its molecular mechanisms, clarify toxicity, and optimize bioactivity. Conclusions: This review bridges natural products and modern therapeutics by focusing on tectoridin, highlighting its therapeutic potential, addressing challenges, and offering new perspectives for treating various diseases. Full article

The Source Region of the Yangtze River is a high-altitude area with extensive permafrost on the Tibetan Plateau. While temperature, precipitation, and radiation significantly affect vegetation phenology, the influence of permafrost changes remains unclear. Using the daily Long-term Seamless NOAA AVHRR NDVI Dataset of China (2003–2022), we extracted the start (SOS) and end (EOS) of the growing season in the Source Region of the Yangtze River (SRYR). Soil thawing date (SOT) was obtained from freeze–thaw state products, while active layer thickness (ALT) was estimated using the Stefan model based on MODIS land surface temperature (LST). Partial least squares regression and mediation analysis quantified the direct and indirect effects of permafrost degradation. Results show: (1) The end of the growing season (EOS) became significantly earlier in 64.33% of the region, while the start of the growing season (SOS) showed little change. (2) The effect of SOT on SOS depends on moisture conditions. Earlier SOT leads to earlier SOS in wetter areas by supplying meltwater, but delays SOS in cold–dry areas by increasing soil water loss. (3) Thicker ALT strongly promotes earlier EOS, accounting for up to 42.61% of EOS variation in cold–dry zones, because a deeper active layer potentially promotes downward movement of water, which may further lead to the potential leaching of nutrients from the shallow root zone, limiting resources for shallow-rooted plants. (4) Alpine meadows respond more strongly to permafrost changes than alpine grasslands. Overall, water loss caused by permafrost degradation may reduce the potential lengthening of the growing season under climate warming, highlighting the key role of soil water in linking permafrost and vegetation dynamics. Full article

The increasing global burden of cancer, together with the need for more sustainable resource management, has stimulated growing interest in the valorization of agro-industrial plant residues as sources of bioactive compounds with therapeutic potential. This review highlights the potential of plant by-products—including citrus peels, olive leaves, date palm residues, and tea and coffee processing wastes—as sustainable reservoirs of polyphenols and other phytochemicals with significant anticancer activity. Key compounds such as hesperidin and naringenin from citrus peels, oleuropein and hydroxytyrosol from olive leaves, quercetin and syringic acid from date palm residues, and chlorogenic acid and epigallocatechin gallate from tea and coffee by-products have demonstrated promising antitumor effects in both in vitro and in vivo studies. These molecules exert their activity through multiple mechanisms, including the inhibition of cancer cell proliferation, induction of apoptosis, regulation of the cell cycle, and modulation of major oncogenic signaling pathways such as PI3K/AKT, MAPK, NF-κB, and EGFR. For instance, hydroxytyrosol induces apoptosis and cell cycle arrest while inhibiting the PI3K/AKT and MAPK pathways. Quercetin limits metastasis and glycolysis and suppresses VEGF, PKM2, and AKT signaling. Ferulic acid suppresses tumor growth by inhibiting the PI3K/AKT and JAK2/STAT6 pathways, thereby promoting apoptosis (in vitro and in vivo). In addition to their pharmacological potential, the recovery of these compounds from plant waste supports circular economy strategies by reducing environmental impact and promoting the development of value-added products. Future research should focus on optimizing extraction methods, improving bioavailability and stability, and validating safety and efficacy through well-designed preclinical and clinical studies. Full article

This study aims to enhance the early warning and monitoring of frost damage in triticale (×Triticosecale Wittmack), as well as to identify frost-tolerant materials. To this end, this work focused on phenotyping the dynamics of triticale under different damage intensities using spectral indices. Sixteen triticale genotypes were planted under three sowing date (SD) treatments, with three sowing rate (SR) gradients set for each SD. The multispectral data of triticale under six frost damage intensities were acquired using an unmanned aerial vehicle (UAV) platform. A total of eight spectral indices (SIs) were extracted from samples under each intensity. In general, for each combination of SD and SR, all SIs decreased monotonically with increasing damage intensity. These indices are therefore suitable for monitoring frost damage in triticale under complex sowing scenarios. Under early frost damage, the relative decline rates (RDRs) of the SRI (Simple Ratio Vegetation Index), EVI2 (Enhanced Vegetation Index 2), NIRv (Near-Infrared Reflectance of Vegetation), and GLI (Green Leaf Index) were higher than those of other indices, indicating that they are more sensitive to early frost damage and thus more suitable for frost warning. Under frost stress, the RDRs of the indices were higher in early-sown samples than in late-sown samples. SD plays a more significant role than SR in determining the response of triticale indices to frost damage. Models were developed to detect triticale under varying damage intensities with SIs and classification algorithms—XGBoost, Quadratic Discriminant Analysis (QDA), Random Forest (RF), and Support Vector Machine (SVM). The SVM classifier demonstrated the best generalization performance (overall accuracy: 98.03%; F1-score: 0.98). The detection contributions of indices within the optimal model were evaluated by their respective SHAP (Shapley Additive Explanations) values. The GLI, NIRv, NDVI (Normalized Difference Vegetation Index), and GNDVI (Green Normalized Difference Vegetation Index) were identified as key indices, as they exhibit higher cumulative SHAP values. Identification models for triticale with different frost tolerance levels were established based on the time-series data of these key indices and the above four algorithms. The optimal model based on the SVM algorithm achieved an identification accuracy exceeding 90%. The average overwintering dynamics and frost damage responses of the key indices were analyzed for triticale with different frost tolerance levels under all treatments. Under frost stress, these indices and their RDRs in frost-tolerant triticale were generally higher and lower, respectively, than those in frost-sensitive triticale. These four key indices can thus assist in the identification of frost tolerance in triticale. This study aids in the early warning and monitoring of frost damage in triticale under complex planting scenarios and the evaluation of overwintering performance in triticale germplasm. Full article

While silage maize (Zea mays L.) remains the dominant biogas feedstock crop in Germany, concerns about landscape homogenization and ecological risks have stimulated the search for more diverse energy crops. This study evaluated twelve amaranth genotypes (GT01–12; Amaranthus spp.) in southwest Germany using field experiments combined with biomass composition analysis and laboratory batch biogas assays. In contrast to earlier studies focusing primarily on the cultivar ‘Baernkraft’ (GT04), a broader set of genetic material was examined. Significant differences among GTs were observed for plant density, dry matter yield (DMY), dry matter content (DMC), and biomass composition. The most productive genotypes (GT09 and GT11) exceeded 10 Mg ha⁻¹ DMY, clearly outperforming Baernkraft. However, even these GTs did not reach the ≈28% DMC threshold considered necessary for reliable ensiling. Lignin concentrations ranged from 4.7% to 7.2% of dry matter. Methane concentrations remained relatively stable (54–55%), resulting in an average methane yield of 1788 ± 441 m³ CH₄ ha⁻¹ (maximum: 2677.8 m³ CH₄ ha⁻¹) across all genotypes and harvest dates. These findings indicate that amaranth may contribute to diversification of biogas cropping systems, although its agronomic and substrate-related performance remains inferior to that of maize under the conditions studied. Full article

The present Special Issue, entitled “Electrochemical (Bio)Sensors as Promising Analytical Tools in the Analysis of Soils, Plants and Environmental Monitoring”, aims to provide an up-to-date overview of recent advances in electroanalytical techniques and electrochemical (bio)sensors, with particular emphasis on their applications in environmental systems, agriculture, and biological matrices [...] Full article

The first golden mussel, Limnoperna fortunei (Dunker, 1857), specimens in North America were discovered on 17 October 2024 at the Port of Stockton on the lower San Joaquin River in California (United States). The golden mussel is native to southern China and is one of the highest-risk aquatic invasive species worldwide. Golden mussels colonize hard surfaces and cause significant biofouling, affecting vital infrastructure such as hydroelectric plants and water delivery systems. It spreads rapidly through hydrological connectivity and human-mediated transport, with water conveyance systems functioning as invasion highways. The Sacramento–San Joaquin River Delta is vital to endangered species and provides water to 30 million people and 790,000 ha of farmland in central and southern California, but faces severe ecological and economic threats from this invasion. The detection of golden mussels was received with concern due to their impact on ecosystems and infrastructure. One year after detection, the invasion front moved 545 km south of the initial detection site (in a straight line) into Silverwood Lake in San Bernardino County near Los Angeles. By April 2026, the invasion front had already advanced 707 km south to the Sweetwater Reservoir in San Diego County (detection date: 15 January 2026). The invasion path coincides with California’s major water delivery systems. Ballast water was the most likely introduction vector, further underscoring the inefficiency of well-intentioned ballast water management policies and the need to implement better ones. This article addresses five objectives: (1) document the introduction and current distribution; (2) highlight key invasive traits to guide management; (3) assess putative impacts in California; (4) review tested management strategies; and (5) propose an innovation-driven framework for golden mussel management. Full article

Glucosinolates are sulfur-containing secondary metabolites predominantly found in Brassicaceae plants, which, upon enzymatic hydrolysis, generate bioactive compounds with potent anti-inflammatory properties. These derivatives modulate key inflammatory pathways by inhibiting NF-κB nuclear translocation, reducing pro-inflammatory cytokine production, including TNF-α, IL-6, and IL-1β, and suppressing iNOS and COX-2 expressions. They also activate NRF2-dependent antioxidant defenses, upregulating enzymes such as HO-1 and NQO1, and regulate MMPs, contributing to tissue protection during chronic inflammation. Evidence from in vitro and in vivo studies consistently demonstrates their ability to attenuate inflammation and oxidative stress. Although approximately 137 glucosinolates have been identified, only about twelve have been investigated in detail regarding the anti-inflammatory activity of their derivatives, highlighting a significant gap in current knowledge and considerable potential for the discovery of new therapeutic compounds. In this context, a systematic survey was conducted of plant species reported in scientific literature as sources of glucosinolates, with particular emphasis on studies evaluating their extracts and fractions for anti-inflammatory potential in in vitro and in vivo experimental models. Additionally, this review also aims to highlight the anti-inflammatory and antioxidant potential of glucosinolate-derived compounds, focusing on their modulation of the NF-κB and NRF2 signaling pathways and their ability to regulate matrix metalloproteinases. It also emphasizes that, despite the broad diversity of glucosinolates identified to date, only a limited number have been functionally investigated. By addressing this gap, and based on the systematic survey performed, this review underscores the need for further research to fully explore their therapeutic potential. Full article

The fig tree (Ficus carica L.) is one of the oldest cultivated fruit trees in the Mediterranean region and represents an important genetic resource for both traditional and emerging production systems. Despite its agronomic and economic relevance, modern fig breeding remains limited, and large-scale phenotypic evaluations across Mediterranean germplasms are still scarce. The objective of this study was to assess phenotypic diversity and identify key agronomic traits relevant for fig breeding. A total of 257 female fig genotypes conserved in germplasm banks located in Spain, Turkey, and Tunisia were used. Over two consecutive seasons (2021 and 2022), a total of 27 morphological, phenological, and pomological traits were assessed according to the International Union for the Protection of New Varieties of Plants (UPOV) descriptors for fig (TG265/1), with 23 phenotypic traits retained for statistical analyses. Linear mixed models were used to estimate marginal means and to partition genetic and environmental variance, while multivariate analyses and trait correlations were employed to explore the structure of phenotypic diversity. The germplasm exhibits remarkable variation in productive type, reproductive behaviour, harvesting date, and fruit quality traits. Harvesting date spans nearly three months. Fruit weight ranges from 11.7 to 134.5 g, total soluble solids from 9 to 39 °Brix, and maturation index values reached high levels, indicating pronounced sweetness during fruit ripening. Most genotypes showed high skin scratch resistance, absence of cracking at maturity, and medium or small ostiole size, highlighting the presence of ideotypes specifically suited for fresh market production. Heritability estimates indicate strong genetic control of key traits, such as fruit weight, fruit size, and total soluble solids, highlighting their suitability for selection in breeding programs. Stakeholder prioritisation further confirmed the relevance of fruit size, sweetness, firmness, and ostiole characteristics, helping to identify best genotypes for breeding and agronomic purposes. Overall, this study demonstrates the value of Mediterranean fig germplasm as a reservoir of valuable agronomic and commercial traits and provides a robust phenotypic framework to support future breeding, conservation, and cultivar selection strategies. Full article

Nitrogen (N) fertilisation, as well as selection of the best cultivar and sowing date, have a significant impact on growth, plant physiology, and yield of wheat. In this study, three parameters (application of N fertilisation, early/late sowing time, and cultivars) and their interaction were examined to investigate their impact on agronomic characteristics of durum wheat and N soil content. Fertilised plants had the highest values of dry weight (15,265 kg/ha) and yield (5530 kg/ha) compared to the control. N fertilisation contributed to the increase in chlorophyll and stomatal conductance values in all measurements, while photosynthetic and transpiration rates were not affected by N application at the final measurement. Late-sown plants presented higher seed yield, even though a positive impact in dry weight (14,747 kg/ha) and 1000-seed weight (53 g) was observed in early-sown plants. The Levante cultivar reported the highest values of number of tillers (3), while yield (5399 kg/ha) and 1000-seed weight (60 g) were higher in the Simeto cultivar. The soil N content remained stable and was not significantly affected by the cultivar and sowing time. The results of this study indicate that the combination of fertilisation regime, cultivar, and sowing time influences growth and yield of durum wheat under the specific conditions of this Mediterranean environment. Full article

Phosphorus is an essential and finite resource critical for global food production, yet its inefficient use and discharge from wastewater systems contribute to eutrophication and resource depletion. The transition from conventional wastewater treatment plants to water resource recovery facilities has intensified interest in technologies that enable phosphorus recovery within a circular economy framework. This review provides a critical and up-to-date synthesis of phosphorus recovery strategies from wastewater, with primary emphasis on struvite (MgNH₄PO₄·6H₂O) crystallization as one of the most mature and practically implemented recovery routes. The occurrence and chemical forms of phosphorus in wastewater streams are discussed alongside conventional approaches, such as enhanced biological phosphorus removal and chemical precipitation, in order to position struvite recovery within the broader phosphorus management landscape. In addition to struvite crystallization, selected competing and complementary recovery pathways, including electrochemical systems, biochar-assisted processes, and sludge ash recovery, are discussed to compare technological maturity, recovery potential, and practical applicability. Particular attention is given to reactor configurations, full-scale applications, and commercial technologies to assess operational reliability, recovery performance, and fertilizer product quality. Life-cycle assessment results and regulatory developments are also discussed to contextualize sustainability claims, technology selection, and market integration. The review identifies key technical and economic challenges, particularly regarding magnesium supply, competing ions, wastewater matrix effects, and the feasibility of mainstream application. Overall, controlled sidestream struvite crystallization appears to offer the most favorable balance between recovery efficiency, operational reliability, and fertilizer product quality under suitable plant conditions. Full article