Search Results (261)

The increasing demand for fresh fruits and vegetables has been accompanied by a rise in foodborne illness outbreaks linked to fresh produce. Traditional antimicrobial washing treatments, such as chlorine and peroxyacetic acid, have limitations in efficacy and pose environmental and worker health concerns. This study evaluated the effectiveness of organic acids (citric, malic, and lactic acid) and power ultrasound, individually and in combination, for the reduction in Salmonella enterica and Listeria monocytogenes on four fresh produce types: romaine lettuce, cucumber, tomato, and strawberry. Produce samples were inoculated with bacterial cocktails at 8–9 log CFU/unit and treated with organic acids at 2 or 5% for 2 or 5 min, with or without power ultrasound (40 kHz). Results showed that pathogen reductions varied based on the produce matrix with smoother surfaces such as tomato, exhibiting greater reductions than rougher surfaces (e.g., romaine lettuce and strawberry). Lactic and malic acids were the most effective treatments, with 5% lactic acid achieving a reduction of >5 log CFU/unit for S. enterica and 4.53 ± 0.71 log CFU/unit for L. monocytogenes on tomatoes. The combination of organic acids and power ultrasound demonstrated synergistic effects, further enhancing pathogen reduction by <1.87 log CFU/unit. For example, S. enterica on cucumbers was reduced by an additional 1.87 log CFU/unit when treated with 2% malic acid and power ultrasound for 2 min compared to malic acid alone. Similarly, L. monocytogenes on strawberries was further reduced by 1.84 log CFU/unit when treated with 5% malic acid and power ultrasound for 2 min. These findings suggest that organic acids, particularly malic and lactic acids, combined with power ultrasound, may serve as an effective hurdle technology for enhancing the microbial safety of fresh produce. Future research can include validating these treatments in an industrial processing environment. Full article

To address the issues of low efficiency and large errors in traditional manual cucumber fruit phenotyping methods, this paper proposes the application of keypoint detection technology for cucumber phenotyping and designs an improved lightweight model called YOLO11m-SCFPose. Based on YOLO11m-pose, the original backbone network is replaced with the lightweight StarNet-S1 backbone, reducing model complexity. Additionally, an improved C3K2_PartialConv neck module is used to enhance information interaction and fusion among multi-scale features while maintaining computational efficiency. The Focaler-IoU loss function is employed to improve keypoint localization accuracy. Results show that the improved model achieves an mAP50-95 of 0.924, with a floating-point operation count (GFLOPs) of 32.1, and reduces the model size to 1.229 × 10⁷ parameters. This model demonstrates better computational efficiency and lower resource consumption, providing an effective lightweight solution for crop phenotypic analysis. Full article

Rootstocks are vital in cucumber production. Although figleaf gourd (Cucurbita ficifolia) is among the species used, its application remains limited due to the perception that white-seeded pumpkin (C. maxima × C. moschata) offers superior commercial traits. This perception is partly due to the insufficient collection and evaluation of local figleaf gourd germplasm, which has obscured its potential as a rootstock. Based on prior screening, four wild figleaf gourd genotypes from Yunnan Province were selected and compared with seven commercial white-seeded pumpkin rootstocks. Scions grafted onto figleaf gourd exhibited vegetative growth (stem diameter, plant height, and leaf area) and fruit morphology (length, diameter, biomass, and surface bloom) comparable to the top-performing white-seeded pumpkin genotypes. Fruits from figleaf gourd rootstocks also displayed comparable or significantly higher nutritional quality, including vitamin C, total soluble solids, soluble sugars, and proteins. Notably, figleaf gourd itself showed significantly greater intrinsic resistance to Fusarium wilt than white-seeded pumpkin. When used as a rootstock, it protected the scion from pathogen stress by triggering a stronger antioxidant response (higher SOD and POD activity) and mitigating cellular damage (lower MDA levels and electrolyte leakage). These results provide evidence that these figleaf gourd genotypes are not merely viable alternatives but are high-performing rootstocks, particularly in enhancing nutritional value and providing elite disease resistance. Full article

The evolution of global agriculture encourages the extensive use of pesticides although significant concerns regarding their impact on human health and the environment must be considered. The present paper highlights the presence and concentrations of various pesticide residues in fruits and vegetables available on Romanian markets. A total of 74 pesticide compounds authorized for agricultural use were identified and quantified in 620 randomly selected samples spanning a wide range of horticultural products by employing the QuEChERS extraction method and liquid chromatography–mass spectrometry (LC-MS/MS). The most often detected pesticides comprised boscalid and azoxystrobin, present in 42% and 37% of apple and strawberry samples, respectively, with mean concentrations of 0.12 mg/kg and 0.09 mg/kg. In cucumbers and tomatoes, difenoconazole and acetamiprid were predominant, detected in 35% and 40% of samples, with average residue amounts of 0.08 mg/kg and 0.07 mg/kg, respectively. Statistical analysis, achieved with Python 3.13.2, the pandas library (alongside descriptive statistics), and ANOVA, revealed significant variations in residue levels based on the product type and geographic origin. Boscalid and azoxystrobin were commonly encountered in apples and strawberries while difenoconazole and acetamiprid predominated in cucumbers and tomatoes. Even though the majority of pesticide residues conformed to EU maximum residue limits (MRLs), about 6% of samples, generally from imported products, displayed some residue concentrations approaching critical thresholds, with the highest exceedance observed for chlorpyrifos and lambda-cyhalothrin at concentrations of up to 0.25 mg/kg. This research provides a comprehensive overview of pesticide residues prevalence in Romania’s fresh product supply while, at the same time, supporting consumer awareness initiatives and evidencing the critical demand for continuous monitoring and strengthened regulatory frameworks for food safety. Full article

Cucumber (Cucumis sativus) greenhouse cultivation offers higher yields and quality compared to open-field systems, but success depends on balanced fertilization. This study compared chemical and biol (liquid organic fertilizer) treatments on cucumber yield, fruit number, and size (Centauro 1 variety). Four treatments—Biol30 (3% biol), Biol70 (7% biol), Nitro (urea), and Comp (complete chemical fertilization)—were applied in a randomized design. Results indicated no statistically significant differences in yield among treatments (p = 0.094), yet Biol70 outperformed Nitro and Comp by 1.44× and 1.18×, respectively. Notably, Nitro produced the largest and heaviest fruits but the lowest fruit count, while organic treatments (Biol30 and Biol70) demonstrated comparable fruit quality and higher yields. The Biol70 treatment, in particular, highlighted the potential of biol as a sustainable alternative, achieving yields of 272.59 kg total production and 34.07 kg per bed, with fruit weights averaging 0.4309 kg and lengths of 26.511 cm. These findings underscore the viability of biol, especially at higher concentrations, as an eco-friendly substitute for chemical fertilizers, aligning with global efforts to promote sustainable agricultural practices. Full article

The Baluchistan melon fly (Myiopardalis pardalina) is a highly invasive tephritid pest. It poses a critical threat to global cucurbit production, with crop losses exceeding 90% during outbreaks. This review synthesises current research on the pest’s biology, ecology, and management, focusing on its severe economic repercussions for key crops—including melon, watermelon, and cucumber—across Africa, Asia, and Europe. M. pardalina has a four-stage life cycle (egg, larva, pupa, and adult) and distinct morphological adaptations. The species’ geographic range continues to expand, driven by global trade networks and its adaptability to shifting climatic conditions. Infestations by this pest severely reduce fruit yields, undermining food security and destabilising rural economies reliant on cucurbit cultivation. We evaluate diverse control strategies, including monitoring and quarantine methods, cultural practices, physical controls, chemical management, biological agents, and emerging genetic tools. This review emphasises the urgency of adopting integrated pest management (IPM) to strategically balance efficacy, ecological sustainability, and operational scalability. By consolidating fragmented knowledge and identifying critical research gaps, this work provides a framework for mitigating M. pardalina’s impacts, offering actionable insights to safeguard agricultural productivity and enhance resilience in vulnerable regions. Full article

The current study researched the biostimulant impacts of a natural-based solution (NBS) that contained eucalyptus and rosemary essential oils on cucumber crops. The effects of NBS (one time-NBS1; two times-NBS2) application on plant development and physiological attributes (chlorophylls, stomatal conductance), total phenolics, non-enzymatic and enzymatic antioxidant activities, leaf minerals content, cucumber quality attributes at harvest and after one-week storage were assessed through experiments. NBS1 spraying was less effective than NBS2 application because it resulted in a decrease in mineral accumulation (like reduced nitrogen) and other physiological characteristics (like chlorophylls). The plants’ enhanced oxidative stress and activation of several enzymatic antioxidant systems were reflected in the use of a commercial solution (CS) based on amino acids and biostimulants, which also boosted stomatal conductance, reduced nitrogen, calcium, and magnesium accumulation, and antioxidant capacity. No differences were found in plant height, number of leaves, plant biomass, chlorophyll fluorescence, total phenols, and various fruit quality attributes, including firmness, fresh weight, respiration rates, total soluble solids, ascorbic acid, decay, and marketability among the treatments. In fact, the effects of both CS and NBS treatment on cucumber plants and fruits were less pronounced, suggesting that more than two applications should be explored in the future. Full article

Large-scale agricultural and animal husbandry production in Shaanxi Province of China has led to significant environmental pollution, due to the incineration of vast amounts of agricultural waste annually. As the land area used for vegetable cultivation expands and farming practices evolve, the demand for organic substrates continues to grow. To optimize cost savings and enhance efficiency, this study investigated the effects of different organic substrate compositions on cucumber (Cucumis sativus) yield and quality, using ‘Jinyou 35’ cucumber as the experimental model. The results demonstrated that the blended organic substrates derived from agricultural waste met key physicochemical requirements for cucumber cultivation across both seedling establishment and fruit development stages. Compared with the control, the T4 treatment (mushroom residue/cattle manure = 1:1) increased the cucumber yield and its content of total sugar, vitamin C, and fatty acids. Furthermore, the T6 treatment (mushroom residue/cattle manure = 3:1) produced the highest total aroma and the lowest soluble protein content compared to the other treatments, and the level of C6 aldehydes in the cucumber fruits was significantly higher (p < 0.05) in this treatment group than in the control group. The findings suggest that properly formulated organic substrate blends can serve as effective growing media for cucumber cultivation, while simultaneously mitigating environmental pollution. This study provides a theoretical foundation for the sustainable utilization of agricultural waste-derived organic substrates in vegetable production. Full article

The Colletotrichum genus is one of the ten most relevant pathogenic fungi in the post-harvest sector owing to its high infection rate in tropical fruits; however, the search for alternatives to synthetic fungicides is crucial because of their adverse effects on health and the environment. This study evaluated the efficacy of chitosan (CH), citral (CT), and hexanal (HX) against Colletotrichum asianum, as well as the toxicological potential of these treatments. In in vitro tests, 1.0% CH, 0.03% CT, and 0.06% HX significantly inhibited fungal development in parameters of radial growth, sporulation, fungal biomass, and germination by 78–100% (p < 0.05). Furthermore, the toxicity index was low to moderate for most concentrations using cucumber and tomato seed germination as a study model. Toxicokinetic predictions suggest that CH, CT, and HX molecules do not pose a danger to human consumption, suggesting that they are promising alternatives to chemical fungicides for the control of phytopathogenic fungi. Full article

In order to investigate the stage plant architecture and productivity characteristics of different cucumber varieties and pruning methods and to construct a comprehensive productivity evaluation system based on plant architecture parameters, this study used JY35 and JS206 as experiment materials and conducted a dual factor control experiment with variety and pruning methods (single-stem pruning (SP) and natural growth (NG)) to systematically analyze the key phenotypic characteristics and productivity indicators of cucumbers at different developmental stages based on variance analysis and principal component evaluation. The results indicated the following: (1) Varieties and pruning methods have a significant impact on the plant architecture characteristics and productivity indicators. (2) The dominant plant architecture characteristics and productivity indicators of JY35 include dry and fresh weights of the tendril, main stem, total stem, leaves, petioles, flowers, overground parts, and overall plant, as well as dry and fresh weight distribution index of the tendril, total stem, leaves, petioles, flowers, overground parts, and overall plant, main stem fresh weight distribution index, water content of roots, tendrils, main stem, leaves, petioles, and flowers, volume of total stem, main stem, and petioles, plant height, total leaf area per plant, leaf area index, and specific leaf area. The remaining plant architecture characteristics and productivity indicators are dominated by the plant architecture of JS206. (3) The dominant plant architecture characteristics and productivity indicators of the SP method include dry and fresh weight distribution index of roots, fruit carpopodiums, main stems, and total stems, water content of petioles, stems, and leaves, and root-to-shoot ratio. The remaining plant architecture characteristics and productivity indicators are dominated by the NG method. This study quantified the dynamic correlation between cucumber plant architecture and productivity characteristics, and the research results can provide a morphological basis for facility cucumber variety breeding and theoretical support for optimizing pruning cultivation mode and achieving efficient utilization of light and heat resources. Full article

In recent years, China’s vegetable market has faced frequent and drastic price fluctuations due to factors such as supply–demand relationships and climate change, which significantly affect government bodies, farmers, consumers, and other participants in the vegetable industry and supply chain. Traditional forecasting methods demonstrate evident limitations in capturing the nonlinear characteristics and complex volatility patterns of price series, underscoring the necessity of developing high-precision prediction models. This study proposes a hybrid forecasting model integrating variational mode decomposition (VMD), the Fruit Fly Optimization Algorithm (FOA), and a gated recurrent unit (GRU). The model employs VMD for multi-scale decomposition of original price series and utilizes the FOA for adaptive optimization of the GRU’s critical parameters, effectively addressing the challenges of high volatility and nonlinearity in agricultural price forecasting. Empirical analysis conducted on daily price data of six major vegetables, specifically, Chinese cabbage, cucumber, beans, tomato, chili, and radish, from 2014 to 2024 reveals that the proposed model significantly outperforms traditional methods, single deep learning models, and other hybrid models in predictive performance. Experimental results indicate substantial improvements in key metrics including the Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Coefficient of Determination (R²), with R² values consistently exceeding 99.4% and achieving over 5% enhancement compared to the baseline GRU model. This research establishes a novel methodological framework for analyzing agricultural price forecasting while providing reliable technical support for market monitoring and policy regulation. Full article

Frankliniella intonsa (Thysanoptera: Thripidae) is a polyphagous pest that causes significant economic agricultural losses by damaging flowers, vegetables, and fruit trees. We performed an age-stage two-sex life table analysis to evaluate the performance and adaptability of F. intonsa against nine common vegetable crops cultivated in Guangxi: cowpea (Vigna unguiculata) (Fabales: Leguminosae), green beans (Phaseolus vulgaris) (Fabales: Leguminosae), soybean (Glycine max) (Fabales: Leguminosae), catjang cowpea (Vigna cylindrica) (Fabales: Leguminosae), courgette (Cucurbita pepo) (Cucurbitales: Cucurbitaceae), wax gourd (Benincasa hispida) (Cucurbitales: Cucurbitaceae), bitter gourd (Momordica charantia) (Cucurbitales: Cucurbitaceae), cucumber (Cucumis sativus) (Cucurbitales: Cucurbitaceae), and chieh-qua (Benincasa hispida) (Cucurbitales: Cucurbitaceae). Among the tested host crops, green beans, cowpea, and courgette significantly accelerated the growth rate and favored the reproductive success of F. intonsa. Green beans, cowpea, and courgette facilitated rapid growth and reproductive success. The mean generation times (T) and net reproductive rates (R₀) were as follows: 14.90 d, 17.09 d, 21.03 d, and 104.04, 45.51, 32.61. Bitter gourd and chieh-qua significantly suppressed population growth (T: 49.49 d, 0 d; R₀: 0.73, 0). Wax gourd, catjang cowpea, cucumber, and soybean exhibited moderate effects characterized by delayed development and lower reproductive output (T: 22.30 d, 20.30 d, 19.51 d, 32.73 d; R₀: 7.17, 25.22, 13.74, and 12.54). These findings highlight the critical role of crop type in F. intonsa population dynamics. Therefore, the agricultural production of green beans, cowpea, and courgette crops necessitates improved control measures and monitoring. Similar measures are needed for cucumber, catjang cowpea, soybeans, and wax gourds because they pose risks as potential hosts. Full article

Nitrogen (N) availability is critical for cucumber (Cucumis sativus L.) growth and yield in greenhouse production. In this study, we investigated the effects of different N doses on the bioimpedance spectroscopy (BIS) parameters of cucumber plants (ES.22.17 F1 genotype), focusing on extracellular fluid resistance ($R_1$), intracellular fluid resistance ($R_2$), vacuole fluid resistance ($R_4$), and cell membrane capacitances ($C_m$, $C_t$). The results showed that low N supply significantly increased $R_1$and reduced $C_m$ in the leaves, indicative of decreased nitrate (NO₃⁻) concentration and impaired membrane fluidity. Higher N supply lowered resistance and increased cell membrane capacitance, reflecting improved ion transport and storage efficiency. A strong positive correlation was observed between total N and NO₃⁻ content (r = 0.9), while NO₃⁻ content negatively correlated with extracellular fluid resistance ($R_1$, r = −0.8) and vacuole fluid resistance ($R_4$, r = −0.9). The optimal N supply for cucumber plants was associated with $R_1$ values of 47,121.07–52,953.93 Ω, $R_4$ values of 0.348–0.529 Ω, and $C_m$ values of 3.149 × 10⁻¹⁰–3.781 × 10⁻¹⁰ F. These BIS parameters showed high sensitivity to plant N status, highlighting BIS as a promising, minimally invasive technique for real-time nutrient monitoring. By integrating BIS data and horticultural best practices, growers can refine N fertilization strategies for better resource efficiency and potentially higher yields and fruit quality. Full article

Background: Cucumber (Cucumis sativus L.) is an important economic crop worldwide. Response regulators (RRs) play crucial roles in plant growth, development, and responses to both biotic and abiotic stresses. Methods: Combined analysis of 182 re-sequencing and transcriptome datasets was conducted to investigate CsRR variations, with subsequent RT-qPCR experiments confirming its functional significance. Results: In this study, 18 CsRR genes were identified and classified into three groups according to their protein structures: A-ARRs (3), B-ARRs (8), and PRRs (7). Resequencing uncovered critical mutations (non-synonymous SNPs, frameshift, and stop-gain variants) in CsRR genes. Transcriptome data revealed that five genes responded to abiotic stress and four responded to biotic stress. CsPRR1 was upregulated in both resistant and susceptible lines at five dpi, downregulated in resistant plants at nine dpi, and showed no significant difference at 11 dpi. CsPRR2 was consistently upregulated in both lines at 5, 9, and 11 dpi. CsPRR3 was upregulated in resistant lines at nine dpi but downregulated at 11 dpi. CsARR8 was significantly downregulated in both lines at 9 and 11 dpi. Notably, CsPRR2 demonstrated dual functionality related to (i) the regulation of immature fruit skin color via a stop-gain InDel and (ii) resistance to Foc, as the gene was upregulated in both resistant and susceptible lines after inoculation with the pathogen. Conclusions: This study integrated resequencing and transcriptomic data to comprehensively characterize CsRR genes, establishing a foundation for further exploration of their functional mechanisms in cucumber. Full article

The importance of fruit shape studies extends beyond fundamental plant biology, as it holds significant implications for breeding. Understanding the genetic and hormonal regulation of fruit morphology can facilitate targeted breeding strategies to enhance yield, quality, and stress resistance, ultimately contributing to sustainable farming and nutrition security. The diversity in fruit shapes is the result of complex hormone regulation and molecular pathways that affect key traits, including carpel number, fruit length, and weight. Fruit shape is a quality attribute that directly influences consumer preference, marketability and the ease of post-harvest processing. This article focuses on investigations carried out on molecular, genetic and hormonal regulation mechanisms of fruit shape, color, maturation in fruit plants and key genetic pathways such as CLV-WUS and OVATE, as well as their roles in shaping non-climacteric fruits such as strawberries, grapes and raspberries. Plant hormones, especially abscisic acid (ABA) and indole-3-acetic acid (IAA), play a crucial role in enhancing desirable traits such as color and taste, while regulating anthocyanin synthesis and growth time. In addition, the dynamic interactions between auxin, gibberellin, and ethylene are crucial for the ripening process. Jasmonate enhances stress response, brassinosteroids promote ripening and cytokinins promote early fruit development. In addition, this review also studied the fruit morphology of species such as tomatoes and cucumbers, emphasizing the importance of the CLV-WUS pathway, which regulates the number of carpels through genes such as WUSCHEL (WUS), FRUITFULL1 (FUL1), and auxin response factor 14 (ARF14). The weight of fresh fruit is affected by microRNAs such as miRNA156, which emphasizes the importance of post transcriptional regulation. The involvement of transcription factors such as SISHN1, CaOvate, and CISUN25-26-27a further emphasizes the complexity of hormone regulation. Understanding these regulatory mechanisms can enhance our understanding of fruit development and have a profound impact on agricultural practices and crop improvement strategies aimed at meeting the growing global demand for high-quality agricultural products. Full article