Search Results (2,135)

The azimuth of a solar greenhouse affects the lighting and the amount of solar radiation received. To investigate the influence of greenhouse azimuth angles on the thermal environment and to ensure an optimal temperature for the growth of warm-season crops such as tomatoes and cucumbers, a naturally ventilated solar greenhouse in Urumqi, Xinjiang was examined. Using computational fluid dynamics (CFD) software (ANSYS 2020), a model of the greenhouse under natural ventilation was constructed. Taking the indoor temperature as the evaluation index, the temperature field inside the greenhouse was simulated at two time points (11:00 and 17:00) during the daytime in spring, under different azimuths (8° west of south, 4° west of south, due south, 4° east of south, and 8° east of south). The indoor measured point temperatures at 11:00 and 17:00 over four consecutive days were compared with the simulated results. The MaxRE, ARE, RMSE, and MAE were all remained within a low range, verifying the accuracy of the constructed CFD greenhouse model. The temperature contour maps of different sections, as well as the indoor average temperature and temperature uniformity in each case, were compared and analyzed. The results indicated that, at 11:00, the greenhouses with azimuths of 8° and 4° east of south exhibited higher average indoor temperatures than those with azimuths of due south and west of south. At 17:00, however, the highest average indoor temperatures occurred in the greenhouses with azimuths of 8° and 4° west of south, exceeding those with azimuths of due south and east of south. The differences in temperature uniformity among different azimuths at the same time were small, but there were significant differences in the temperature uniformity at different times for the same azimuth. According to the climatic characteristics and the temperature requirements of crops of Urumqi, Xinjiang, an azimuth of 4–8° west of south is recommended for solar greenhouses in this region. Full article

The invasive tomato leafminer, Tuta absoluta, poses a severe global threat to solanaceous crops, necessitating sustainable biocontrol solutions. Through systematic bioprospecting across several Moroccan soils, we constructed a novel library of indigenous fungal isolates using complementary Tenebrio molitor baiting and selective media methods. High-throughput phenotyping identified 49 highly pathogenic isolates, which were characterized for conidial production, thermotolerance, and virulence against T. absoluta. We discovered two lead isolates, Beauveria bassiana UCA-350 and Metarhizium robertsii UCA-329, that demonstrated superior virulence, reducing median survival time and achieving lower LC₅₀ values than most commercial reference strains. Notably, virulence was positively correlated with in vitro conidial yield, revealing a key trait linkage for strain selection. Furthermore, genus-level divergence in thermotolerance was observed, with Beauveria isolates exhibiting significantly higher heat resilience. Our integrated multi-trait screening pipeline not only delivers two potent, regionally sourced biocontrol candidates but also establishes a phenotypic selection framework that prioritizes both efficacy and production scalability, advancing the rational development of next-generation mycoinsecticides. Full article

Tomatoes are globally significant crops worldwide. Understanding the molecular mechanisms underlying their growth, development, and stress responses is crucial to enhance crop productivity and resilience. The WUSCHEL-related homeobox (WOX) gene family is implicated in developmental processes and stress responses, yet its regulatory complexity in tomato remains underexplored. This study presents an integrative genome-wide analysis approach to characterize the WOX family in tomato. Ten SlWOX genes were identified and phylogenetically classified into three clades, WUS, intermediate and ancient, underscoring their evolutionary relationships. Structural analysis revealed significant variability in gene structure even within the same clade, indicating potential diversity in functional roles. Conserved domains’ screening enables the detection of conserved motifs, including the homeodomain and WUS box. Cis-element analysis showed diverse regulatory elements across the SlWOXs, with a strong emphasis on elements involved in growth and development and stress response. Expression profiling across different organs and growth conditions including abiotic and biotic stresses revealed variability in SlWOXs’ expression patterns. Furthermore, several miRNAs were predicted to target the SlWOXs, emphasizing the existence of post-transcriptional regulation. Functional annotation and interactome analysis further revealed the key role of some SlWOXs, mainly SlWUS, SlWOX4 and SlWOX13, as central regulatory hubs. Collectively, these findings uncover the structural diversity, regulatory mechanisms and functional flexibility of the SlWOX gene family. It also highlights potential targets for improving tomato crop resilience and productivity, making it a significant contribution to plant biology and agriculture. Full article

Integrating semi-transparent photovoltaics (STPV) into greenhouse structures offers an effective approach to optimizing the Food–Energy Nexus and maximizing sustainable land-use efficiency. However, a knowledge gap remains regarding how specific STPV spectral signatures drive plant morpho-physiological acclimation across multiple cultivation cycles. This study presents a 19-month multi-cycle, proof-of-concept evaluation of the structural growth dynamics and physiological responses of generative (tomato) and vegetative (lettuce) crops under greenhouse prototypes with two distinct thin-film STPV technologies: Cadmium Telluride (CdTe) and amorphous Silicon (a-Si), compared to an unshaded transparent control. Biometric monitoring revealed that morphological acclimation (Shade-Avoidance Syndrome) was highly plastic, driven by the interplay between spectral filtering and seasonal irradiance limits. While structural adaptations, such as foliar expansion and stem elongation under the a-Si spectrum, were pronounced during specific transitional seasons (e.g., early spring), these morphological differences largely homogenized across treatments during periods of extreme high or low natural irradiance. Despite the shading penalty, this morphological acclimation successfully sustained agronomic fresh mass. Systemic efficiency, quantified by the Land Equivalent Ratio (LER) as a relative biophysical synergy index, demonstrated notably crop-specific synergies. Under an extended single fruiting cycle, the CdTe prototype showed potential to improve yield, achieving a maximum LER of 1.66 for the high-light-demanding tomato (Y_crop = 1.40). Conversely, the a-Si module excelled with the shade-tolerant lettuce during early vegetative stages in high-radiation periods, achieving peak LERs up to 1.55. These findings provide a biophysical baseline to help guide future scalability assessments prior to full-scale commercial agrivoltaic (APV) implementation for sustainable food systems. Full article

Tomato (Solanum lycopersicum L.) is a globally important vegetable crop and a major dietary source of bioactive compounds, including lycopene, ascorbic acid, phenolics, and minerals. Modern tomato breeding has substantially improved yield, uniformity, and postharvest performance; however, these gains have often been accompanied by reduced flavor quality, lower nutritional value, and narrowing of the genetic base. This review synthesizes available evidence on Lithuanian tomato germplasm and evaluates its relevance for future breeding strategies aimed at enhancing genetic gain under Northern European conditions. The review integrates published data on genetic diversity, molecular characterization, morphological traits, fruit quality parameters, and yield performance of Lithuanian cultivars and hybrids developed in Lithuania. SSR-based studies indicate moderate genetic diversity, with mean expected heterozygosity of approximately 0.51 and mean PIC values of 0.47 in cultivars and 0.45 in hybrids, while also confirming a relatively narrow breeding pool. Lithuanian cultivars display substantial variation in fruit morphology, dry matter, soluble solids, firmness, lycopene, ascorbic acid, and yield. Traditional cultivars such as ‘Svara’, ‘Milžinai’, ‘Slapukai’, and ‘Balčiai’ show valuable nutritional and technological traits, whereas hybrids such as ‘Auksiai H’, ‘Adas H’, and ‘Ainiai H’ demonstrate improved productivity and firmness. The available evidence suggests persistent yield–quality trade-offs, particularly between productivity, soluble solids content, antioxidant accumulation, and postharvest performance. Although Lithuanian germplasm does not represent exceptionally broad genetic diversity, it contains regionally adapted material with stabilized trait combinations useful for breeding resilience, nutritional quality, and adaptation to temperate environments. Future progress will require broadening the genetic base and integrating traditional breeding with marker-assisted selection, genomic selection, GWAS, genome editing, multi-omics, and pangenomic approaches. Overall, Lithuanian tomato germplasm represents a locally adapted regional resource for translating genetic diversity into genetic gain in modern tomato breeding. Full article

The guava root-knot nematode (Meloidogyne enterolobii) is a highly aggressive species of root-knot nematode that is not manageable with currently existing nematode management methods. This study was conducted to evaluate the suppressive ability of winter cover crops against M. enterolobii. Eleven winter cover crops (rye, wheat, barley, triticale, oat, Austrian winter pea, crimson clover, balansa clover, hairy vetch, purple top turnip, and daikon radish) were evaluated against M. enterolobii in a growth room environment. Root-knot nematode-susceptible tomato (Solanum lycopersicum cv. Rutgers) was used as a control. Nematode reproduction on cover crops ranged from 1 to 501,373 eggs/g root, with oat supporting the least nematode reproduction and crimson clover supporting the greatest nematode reproduction. The crops significantly suppressing egg production on roots and second-stage juveniles in the soil relative to the control were oat, winter pea, wheat, barley, rye, and triticale. Hairy vetch, purple turnip, daikon radish, and crimson clover were good hosts, while balansa clover, wheat, winter pea, barley, rye, triticale and oat were poor or non-hosts, with the latter four crops producing substantial biomasses. Employment of these cover crops that suppress or do not support M. enterolobii reproduction while adding substantial biomass to the soil may lead to sustainable nematode management. Full article

Tomato (Solanum lycopersicum) is a globally important horticultural crop, with Asia contributing 60.45% of total production, followed by the Americas at 13.36%. Tomato productivity is increasingly constrained by southern blight, a destructive disease responsible for yield losses ranging from 30 to 90% and annual economic damage of $10–20 million. The causal pathogen, Sclerotium rolfsii, infects the stem base and induces reddish-brown cankers through secretion of oxalic acid (OA) and cell wall-degrading enzymes, which girdle tissues, impair water transport, and result in rapid plant wilting and death. Its persistence in soil via sclerotia, broad host range, and adaptability make the disease difficult to manage. Recent advances in genomics, transcriptomics, proteomics and other multi-omics approaches have substantially improved understanding of pathogen virulence factors, host defense responses and disease epidemiology. These studies have revealed key roles of OA, carbohydrate-active enzymes, effector proteins, and sclerotial melanization in pathogenesis, while highlighting the activation of salicylic acid (SA)-, jasmonic acid (JA)-, and ethylene (ET)-mediated defense pathways in tomato. Although cultural, biological, and chemical measures are available, these measures often provide inconsistent protection when used alone. Promising strategies include the use of biocontrol agents, hypovirulence-inducing mycoviruses, and chemical fungicides such as carboxamides and quinone outside inhibitors (QoIs), though fungicide resistance remains a risk factor. Integrated Disease Management (IDM) approaches, such as combining biocontrol agents with fungicides, demonstrate enhanced efficacy. This review also evaluates progress in resistance breeding, grafting, RNA interference (HIGS and SIGS), CRISPR-based genome editing, and exploitation of wild genotypes for durable resistance. Furthermore, emerging precision agriculture tools, including hyperspectral imaging, machine learning-assisted disease detection and climate-resilient management strategies, were discussed as new components of sustainable disease management. Full article

Tomato crop residues (TCR) from soilless greenhouses are treated as waste, causing greenhouse gas emissions and biomass loss. Within a circular economy framework, gasification converts TCR into renewable energy and biochar; however, its high pH and electrical conductivity (EC) limit its use as a substrate. This study evaluated whether pre-treatment could enable TCR biochar to act as a substrate component and nutrient source in tomato and pepper seedlings. Biochar was produced by gasification and pre-treated by water incubation plus nitric acid, reducing EC from 27 to 8.7 dS m⁻¹ and pH from 10.4 to 8.2 while achieving nitrate loading without leaching. Pristine biochar severely restricted growth. Subsequent experiments evaluated pre-treated biochar mixed with perlite or cocopeat, with or without external N and K. The 15/85% (w/w) pre-treated biochar/cocopeat mixture (PTB/C) showed the best overall performance. In the absence of additional N/K, PTB/C produced shoot biomass and shoot N concentrations comparable to N-/K-supplemented cocopeat; shoot K was comparable in tomato and higher in pepper. With N and K supplementation, PTB/C exceeded supplemented cocopeat biomass by 1.41- and 1.95-fold in tomato and pepper, respectively. These results indicate that pre-treated TCR biochar can reduce dependence on imported cocopeat and external N/K supply. Full article

Tomato is one of Thailand’s most significant economic crops, generating substantial export value and serving as a primary source of income for local farmers. However, the traditional manual grading process often fails to comply with the Thai Agricultural Standard TACFS 1503–2007, as grading decisions rely heavily on individual experience and subjective perception, resulting in inconsistent quality. Existing automated systems face the challenges of low accuracy, high costs, and complex hardware, while many are incompatible with Thailand’s grading standards. This study presents a multi-view tomato grading system (MVT-Grader), utilizing a dataset acquired from Doi Kham Food Products Co., Ltd. (Third Royal Factory, Tao Ngoi) under controlled lighting conditions. Subsequently, MVT-Grader is built on a custom-designed lightweight CNN architecture with an adjusted spatially aware loss function to enhance the model’s sensitivity in detecting subtle surface defects and color variations. The proposed model was trained using tomato images captured from two and three different viewpoints via a low-cost webcam setup and processed by a GPU-embedded system. Experiments conducted using stratified 5-fold cross-validation on a real-world industrial dataset demonstrate average grading accuracies of 99.43% (two-view) and 99.64% (three-view). Furthermore, the proposed Real-Time Lightweight CNN with Spatially Aware Loss Optimization achieves processing speeds of 87 ms and 114 ms per tomato for two- and three-view cases, respectively. Compared with MVCNN-Siamese, SDF-ConvNets, and Multi-View Spatial Network, the proposed system outperforms the others in both accuracy and speed, improving accuracy by 1.6–6.11% and reducing processing time by 39–49 ms. Full article

In the future, agriculture will need better irrigation management options to produce more food and decrease its air and water pollution contributions. Hydroponic systems conserve water over field production, but up to 50% of applied irrigation could be discharged from open-drain systems. TVPD is an evapotranspiration model developed for greenhouse production, particularly for hydroponics. In this study, we calibrate and evaluate TVPD on environmental and evapotranspiration data from hydroponic tomato production and compare predictions to those of random forest (RF) and K-nearest neighbors (KNN). Using five time-ordered data splits, we sought to gauge prediction accuracy for data-limited settings, where the model needs to be implemented with the least calibration time possible, and we evaluated TVPD, RF, and KNN with a 10-fold cross-validation to assess overall model robustness. Across the five data splits, TVPD produced more accurate predictions (r²: 0.86 to 0.90; RMSE: 0.1739 to 0.5796 L tray⁻¹) than RF (r²: 0.06 to 0.73; RMSE: 0.7354 to 2.0505 L tray⁻¹) and KNN (r²: 0.06 to 0.59; RMSE: 0.7694 to 1.7090 L tray⁻¹). With calibration on only the first five days of data, TVPD was able to produce acceptable predictions (r² = 0.87, RMSE = 0.5796 L tray⁻¹). The mean r² for a 10-fold cross-validation was 0.81 for TVPD, 0.88 for RF and 0.81 for KNN, and mean RMSE values were slightly better for the cross-validation for RF (0.4970 L tray⁻¹) and KNN (0.4968 L tray⁻¹) than for TVPD (0.5922 L tray⁻¹). Overall, TVPD could be a useful model to predict evapotranspiration for irrigation management and could decrease the volume of discharged hydroponic waste solution. Full article

Tomato (Solanum lycopersicum) is one of the most extensively cultivated crops worldwide and a recognized dietary-rich source of phytochemicals associated with cardioprotective, antioxidant, antidiabetic, anti-inflammatory, anticancer, antimicrobial, and anti-aging properties. This study provides a comprehensive comparative assessment of the lipophilic composition, total phenolic content (TPC), and antioxidant capacity of six Solanum varieties, namely Roma, Kumato, Globe, and Vine (S. lycopersicum L.), Cherry (S. lycopersicum var. cerasiforme), and Tamarillo (S. betaceum), using a validated μQuEChERS/HPLC-PDA analytical approach combined with complementary in vitro antioxidant assays. The optimized analytical method exhibited robust analytical performance, with strong linearity (R² ≥ 0.993), high sensitivity and selectivity, satisfactory precision (%RSD < 20%), and acceptable recoveries (78–118%), confirming its suitability for routine profiling of lipophilic compounds in complex matrices. Significant differences (p < 0.05) were observed among varieties, highlighting the strong role of genotype in modulating lipophilic phytochemical accumulation. Kumato and Cherry exhibited the highest levels of lycopene, β-carotene, and tocopherols, whereas Globe consistently exhibited the lowest lipophilic antioxidant content. In vitro assays identified Vine with the greatest TPC (290 µgGAE/g dw) and antioxidant activity (1603 µgTE/g dw), while Globe recorded the lowest values (194 µgGAE/g dw and 1395 µgTE/g dw, respectively). Hierarchical clustering analysis further corroborated these findings, revealing three chemically distinct clusters: Vine and Tamarillo associated with superior TPC and antioxidant activity; Cherry and Kumato characterized by elevated carotenoid and tocopherol content; and Globe and Roma distinguished by comparatively lower nutritional quality across all parameters assessed. These results demonstrate that the validated μQuEChERS/HPLC-PDA method is a reliable, sensitive, and efficient tool for comparative phytochemical profiling of tomato varieties. The observed compositional differences may contribute to future studies focused on nutritional evaluation, traceability, and authenticity assessment of tomato-derived products. Full article

Rooftop farms are urban green infrastructure integrating food production, ecological regulation, and public services, and their management increasingly relies on data-driven approaches. However, open built environments, microclimatic heterogeneity, and limited sensor deployment challenge continuous monitoring and short-term prediction of rooftop plant growth. This study proposes and validates a virtual sensor-driven digital twin system using a rooftop tomato case in Xiamen, China. The system adopts a five-layer architecture comprising data acquisition, transmission, modeling, processing, and application service layers. By coupling a Long Short-Term Memory (LSTM) weather prediction model with the Decision Support System for Agrotechnology Transfer (DSSAT) crop growth model, a predictive virtual sensor module was developed to forecast leaf area index (LAI), aboveground biomass, phenology, and yield for seven days. Results show that the system links environmental data acquisition, LSTM–DSSAT prediction, database storage, and three-dimensional visualization, transforming rooftop plant growth into an updatable, predictable, and visualized digital twin object. The coupled model showed high predictive accuracy, with R² values of 0.9814 for LAI and 0.9966 for aboveground biomass, while supporting phenology and yield prediction. The system supports irrigation optimization, landscape management, and activity planning in sensor-constrained rooftop farms. Full article

Agrotextiles are critical for enhancing climate resilience and food security in modern agriculture. This scoping review maps the global research landscape to identify primary functions, applications, and emerging sustainability challenges. Following the Arksey and O’Malley framework and PRISMA-ScR guidelines, 206 studies published between 2000 and 2025 and indexed in Scopus and WoSCC were systematically analysed using a hybrid qualitative–quantitative approach. Results demonstrate that pest exclusion (37.4%) and solar radiation management (34.5%) are the dominant functional roles, with research heavily concentrated in high-value crops such as tomato (22.2%) and pepper (13.8%). Although synthetic polymers prevail, a substantial reporting gap remains, as 51.9% of studies do not explicitly specify base materials. Nevertheless, a clear shift toward sustainability is emerging, with environmental themes accounting for 77.8% of publications in 2025, particularly focusing on biodegradable materials and pesticide reduction. Overall, while applied performance research in agrotextiles is relatively mature, the field remains fragmented in terms of material transparency and structural standardisation. Future advances should integrate circular economy principles, establish technical reporting standards, and expand applications into extensive and tropical cropping systems to support global agricultural resilience. Full article

Early and late leaf spot (ELS and LLS), caused by Passalora arachidicola and Nothopassalora personata, are major constraints to peanut (Arachis hypogaea L.) production. Durable resistance in cultivated germplasm remains limited due to the crop’s narrow genetic base. Wild Arachis species represent an important but underutilized source of resistance. This study aimed to identify and prioritize wild introgressions associated with foliar disease resistance in advanced peanut backcross lines derived from the induced allotetraploid BatSten1 (Arachis batizocoi × A. stenosperma)^4x. A population of advanced backcross lines carrying reduced wild genome content (~5% to ~1% across advancement) was evaluated through four years of field trials for LLS severity and yield, complemented by detached-leaf bioassays to dissect resistance components for both ELS and LLS. Genome-wide SNP genotyping, combined with mixed-model analysis and association mapping, identified introgressed regions influencing disease response. Genome-wide association studies (GWAS) detected loci on chromosomes A06 and A09 associated with LLS resistance, explaining approximately 25% and 11% of phenotypic variation, respectively, with evidence of additive effects between loci. Component-level analyses further revealed both resistance- and susceptibility-associated introgressions. Although tomato spotted wilt virus (TSWV) incidence was evaluated in field trials, exploratory GWAS did not detect significant marker–trait associations, indicating that genetic components associated with this trait were not resolved under the conditions tested. Overall, these results expand the understanding of the genetic architecture of leaf spot resistance beyond traditional donor sources and provide a framework for prioritizing beneficial wild introgressions while minimizing linkage drag in peanut pre-breeding programs. Full article

Pesticides play a crucial role in modern agriculture by protecting crops from pests, diseases, and weeds, thereby contributing to increased agricultural productivity and food security. However, their extensive use may lead to the presence of residues in food products, particularly vegetables, which can pose potential risks to human health. Therefore, continuous monitoring of pesticide residues in vegetables is essential to ensure food safety, assess dietary exposure, and protect consumers from possible acute and chronic health effects associated with pesticide intake. In this study, the concentrations of pesticide residues were determined in 1236 samples of 44 vegetable species collected over a four-year period. Vegetables originated from 39 countries, including Serbia (n = 213). Pesticide residues were determined by liquid chromatography–tandem mass spectrometry (LC-MS/MS) and gas chromatography–tandem mass spectrometry (GC-MS/MS) after extraction using a modified QuEChERS protocol. A total of 148 pesticide residues were detected. Of the vegetable samples, 40.13% had pesticide residues at or above 0.01 mg/kg, and 1.78% exceeded the maximum residue limits (MRLs) set by the Serbian regulation. MRL values were most often exceeded in ginger, cucumber, and spinach. The most frequently found pesticide was imidacloprid (detected in 74 samples, 5.99%). Multiple pesticides were detected in 22.01% of the vegetable samples, and one tomato sample contained up to 10 pesticide residues. Based on the available data and further development of a representative dataset, together with appropriate statistical analyses, dietary exposure assessments for pesticides can be conducted. Full article