Search Results (4,564)

Gaseous nitrogen losses and residual soil nitrogen accumulation are primary drivers of low nitrogen use efficiency in alkaline irrigated cropping systems. A two-year field experiment (2019–2020) in the Hetao Irrigation District under alkaline flood-irrigated maize evaluated the effects of nitrogen rate, fertilizer formulation, and enhanced-efficiency fertilizers—urea with urease inhibitor NBPT and ammonium sulfate with nitrification inhibitor DMPP—on NH₃ volatilization, N₂O emissions, post-harvest soil mineral nitrogen, and grain yield. A soil pH manipulation sub-experiment (±0.5 units, ambient pH ~8.8) was conducted to quantify the direct effect of alkalinity on volatilization. NH₃ volatilization was insensitive to fertilizer formulation and inhibitor inclusion but strongly responsive to soil pH; a 0.5-unit increase in soil pH elevated volatilization efficiency by up to 25% relative to ambient conditions. N₂O emissions were around 18% higher under ammonium sulfate than under urea and were reduced by 21–32% with inhibitor treatments, without increasing NH₃ volatilization. Inhibitor-assisted optimized management (urea + NBPT and ammonium sulfate + DMPP) achieved higher yields and lower emission intensity than urea alone. These results confirm that NH₃ and N₂O losses are governed by distinct controls, and that concurrent mitigation of both pathways requires interventions that independently target each loss driver, beyond rate optimization and inhibitor application alone. Full article

Moldy pear core constitutes a severe internal defect that compromises fruit quality. This study proposes a nondestructive detection method for Korla pear moldy core using Vis/NIR spectral signals, aimed at supporting post-harvest quality control and automated industrial sorting. We collected spectral signals from pears and quantified the moldy pear core area to classify samples into healthy (S = 0%), slightly moldy (0 < S ≤ 10%), and severely moldy (S > 10%) categories. We constructed a three-tier comparative framework to evaluate the progression from conventional machine learning to advanced deep learning: traditional methods using univariate selection (US) and random forest (RF) for feature extraction followed by support vector machine (SVM) classification; 1D-ResNet for direct processing of spectral signals; and two-dimensional approaches transforming signals into improved gramian angular field (IGAF) or Laplacian pyramid Markov transition field (LPMTF) images processed through deep belief network (DBN), MobileNetv3, and Vision Transformer (ViT). The LPMTF-ViT combination delivered the best performance with 98.98% test accuracy and 94.44% external validation accuracy, significantly exceeding traditional approaches and 1D-ResNet. This innovative approach delivers effective technical support for early-stage, nondestructive detection of internal fruit defects. It also establishes a scalable foundation for automated industrial inspection systems, potentially reducing post-harvest losses while ensuring premium quality control in modern fruit supply chains. Full article

To investigate the differences in reactive oxygen species (ROS) metabolism and signal transduction between the illuminated and non-illuminated surfaces of mangoes exposed to red light, this study used “Tainong No.1” mangoes as the test material, setting up three groups: mango exposed to red light, mango without red light and mango in darkness. The study measured maturity physiological indicators, ROS content, antioxidant enzyme activity, non-enzymatic substances, and combinations with DIA proteomics analysis. The results showed that red light exposure promoted the overall ripening of mangoes, and there was almost no difference in ripening between mango exposed to red light and mango without red light. Red light mainly induced rapid accumulation of hydrogen peroxide in the peel of the irradiated area and stimulated the synthesis of superoxide anion in the pulp. The antioxidant capacity of both the irradiated and non-irradiated areas was enhanced. Key proteins in the ROS signaling pathways such as Rab11, LRK-RLK, and PIN3 were significantly upregulated. In summary, red light promotes synchronous ripening of mango fruits by coordinately regulating the ROS homeostasis of the tissue, and provides new insights into the use of light signals for regulating fruit metabolism. Full article

This study presents pedagogical innovations in the undergraduate course Postharvest Technology and Quality Management at Sultan Qaboos University (SQU), where project-based learning (PBL) is used to integrate academic quality assurance and sustainability education, aligning with the United Nations Sustainable Development Goals (SDGs). This study adopts a descriptive multiple-case approach to analyze five representative student projects and their alignment with the SDGs. The projects address real-world postharvest challenges, including quality preservation, renewable energy use, and food loss reduction. A qualitative cross-case analysis based on SDGs mapping criteria was used to evaluate project alignment and societal outcomes. Representative student projects demonstrate how inquiry-driven learning enhances technical competence and research skills. Quantitative outcomes include a reduction in weight loss from 27.1% to 18.8% in coated tomatoes, increased weight loss up to 46.37% under severe mechanical damage in zucchini, and significant firmness reduction in bruised apples (53.23 N to 21.64 N). Hybrid infrared–hot air drying improved drying efficiency by reducing drying time and enhancing moisture removal, while banana coating experiments showed reduced moisture loss and delayed ripening. The analysis shows that all five projects align with at least two SDGs, with SDG 12 addressed in 100% of the cases. The curriculum is explicitly aligned with SDG 2 (Zero Hunger), 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), 12 (Responsible Consumption and Production), and 13 (Climate Action). The study highlights the societal relevance of course-based projects through their contribution to SDG-related challenges and emphasizes the role of mentorship, teamwork, and experiential learning infrastructure in sustaining effective PBL implementation. Cross-case comparison highlights common sustainability contributions, including a reduction in postharvest losses, adoption of natural preservation methods, and improvements in energy-efficient processing. The findings highlight the potential of course-based PBL as a context-specific approach for integrating sustainability into undergraduate education. Full article

Drying is a critical stage in the postharvest chain, shaping product stability, quality, and economic value. Freshly harvested beans contain high moisture, and inadequate drying can lead to microbial growth, physical deterioration, and loss of key sensory attributes. In recent decades, diverse technologies have been developed to enhance drying efficiency while preserving flavor, improving consistency, and reducing environmental impacts. This review adopts a systematic and comparative approach, synthesizing peer-reviewed literature on conventional practices, advanced solar dryers, mechanical systems, hybrid configurations, and emerging techniques such as microwave, infrared, and desiccant-assisted drying. Emphasis is placed on heat and mass transfer mechanisms, the influence of environmental and operational parameters, and the role of varietal and processing differences. Comparative analyses reveal trade-offs between energy consumption, drying kinetics, and impacts on physical and chemical quality. Sustainability aspects are also examined, including energy use, carbon footprint, water consumption, and scalability for smallholders. Finally, key research gaps are identified, particularly in multiscale modeling, real-time monitoring, and integration with renewable energy and smart control systems. The review highlights pathways for achieving greater consistency, lower environmental burdens, and stronger value chains in producing regions worldwide. Full article

The objective of this study was to evaluate the influence of modified atmosphere and moisture absorbers on specific metabolites (SMs) content in packaged stinging nettle leaves (Urtica dioica L.). Hydroponically cultivated fresh nettle leaves were packaged in two experiments: 1. packaging in ambient or modified atmosphere (MAP) and 2. packaging in MAP without or with moisture absorbers. The results demonstrated that both modified atmosphere and moisture absorbers statistically significantly affected (at p ≤ 0.05) the SM content of nettle leaves, but with opposing effects. Specifically, leaves packed in modified atmosphere had significantly higher values of phenolic compounds, ascorbic acid, total chlorophylls, and antioxidant capacity compared to ambient packaging. In contrast, the inclusion of moisture absorbers in packages was associated with a general decline in metabolite content. The highest levels of caffeoylmalic acid (405.73 mg/100 g fm), total phenolic compounds (627.35 mg GAE/100 g fm), total chlorophylls (0.87 mg/g fm), and antioxidant capacity (ABTS: 24.5 µmol TE/g, DPPH: 6.98 µmol TE/g, FRAP: 43.85 µmol TE/g fm) were observed in samples stored for 17 days under modified atmosphere without the addition of absorbers. Based on these findings, for optimal preservation of SMs during extended storage (up to 20 days), packaging stinging nettle leaves in a modified atmosphere without moisture absorbers is recommended. Full article

Maintaining the nutritional and functional quality of blueberries during cold storage remains a postharvest challenge. This study evaluated the effects of short-term high-CO₂ treatments on phenylpropanoid-related metabolism in two commercially important blueberry cultivar–season combinations: Duke (Vaccinium corymbosum L., highbush; early-season, June harvest) and Ochlockonee (V. virgatum Aiton, rabbiteye; late-season, September harvest). Fruits were exposed to 15% or 20% CO₂ for 3 days at 1 °C and subsequently stored for up to 29 days at 1 °C. Phenolic compounds, antioxidant capacity, and the expression of selected phenylpropanoid-related genes, including flavonoid biosynthetic enzymes and R2R3-MYB transcription factors, were analyzed. Short-term CO₂ treatments were associated with transient transcriptional responses, particularly in anthocyanin-related pathways, together with genotype-associated differences in phenolic composition and antioxidant capacity during storage. Overall, the results indicate associations between CO₂ exposure and secondary metabolism under cold storage conditions and should be interpreted as correlative rather than mechanistic evidence of priming. Full article

Artificial intelligence is transforming agriculture from a mechanized, labor-intensive sector into a data-driven, perception-enabled, and increasingly autonomous production system. In this review, AI serves as an umbrella term encompassing machine learning, computer vision, and robotic control, among other technologies. We synthesize recent advances across the tillage–sowing–management–harvesting (TSMH) workflow, covering intelligent tillage, precision sowing, field management, and robotic harvesting. The literature shows that AI has significantly improved agricultural perception, prediction, and task-level decision-making. However, large-scale adoption remains constrained by data heterogeneity, limited cross-scene generalization, environmental uncertainty, and insufficient integration across operational stages. Future progress will depend on multimodal data fusion, lightweight and interpretable models, cloud-edge collaboration, and full-chain decision architectures. By framing current research within the TSMH pipeline, this review highlights both technical advances and the critical bottlenecks that must be addressed to move smart agriculture from stage-specific intelligence toward system-level autonomy. Representative studies indicate that AI models can improve soil-property prediction and reduce sowing miss-detection rates to below 3% under controlled or bench-top conditions. However, field deployment may be affected by environmental variability, including illumination changes, dust, vibration, occlusion, and hardware constraints. These limitations highlight the need for robust and edge-compatible architectures. Full article

Botrytis cinerea is a major phytopathogen responsible for significant postharvest losses in plant-derived foods. The increasing resistance to synthetic fungicides has driven the search for sustainable alternatives, including enzyme-based biofungicides. In this study, the proteolytic fraction P1G10 from Vasconcellea pubescens latex was encapsulated in an alginate–chitosan (ALG-CS) matrix to improve its stability and antifungal performance. The encapsulated formulation (ALG-CS-P1G10) retained ~95% enzymatic activity after 8 h under stress conditions (37 °C, 1350 lux), compared with 67% for the free enzyme. In vitro assays demonstrated a dose-dependent inhibition of B. cinerea growth, with an IC₅₀ value of ~11 mg/mL determined using a logistic model. At this concentration, the formulation reduced fungal adhesion by more than 80% and increased sensitivity to cell wall-disrupting agents (Congo Red and Calcofluor White), pointing to alterations in cell wall integrity. Importantly, the encapsulated system provided a more stable and sustained antifungal effect, consistent with a controlled-release mechanism. These results demonstrate that coupling enzyme stabilization with controlled release can improve the functional performance of protease-based antifungal systems, offering a promising strategy for the development of biofungicides in postharvest applications. Full article

As representatives of early-flowering herbaceous peony types, certain cultivars known as the ‘Coral’ series are highly prized in the global cut flowers market for their unique dynamic color transitions from orange-red (amber) to creamy yellow during the florescence and senescence periods. Despite their strong growth vigor and high commercial value, these cultivars face critical postharvest preservation challenges, most notably rapid petal abscission and short vase life. Previous studies have confirmed that postharvest quality deterioration of these peony cut flowers, including undesired color fading and accelerated senescence of petals, is closely associated with ethylene and ROS accumulation. To address these development impediments, systematic optimization of the entire industrial chain is essential. Proposed countermeasures include preharvest regulation of environmental conditions and cultivation practices to establish a foundation for quality formation, as well as postharvest strategies such as precise harvest timing, anti-ethylene treatments, and full cold-chain logistics. Meanwhile, simplifying the distribution system and optimizing terminal vase preservation techniques are also crucial to maintain postharvest quality. In the long term, promoting sustainable development of the global cut-flower industry will require breeding new germplasm with low ethylene sensitivity from a global perspective, continuously optimizing agronomic practices to overcome year-round supply constraints, and accelerating the application of intelligent technologies such as the Internet of Things (IoT) in full chain quality management. Full article

Anthocyanin stability substantially determines the postharvest storage quality of red Huajiao (Zanthoxylum bungeanum Maxim.). Herein, the composition of red Huajiao anthocyanins (RHAs) was characterized, and the copigmentation performance of seven phenolic compounds with RHAs was comparatively evaluated, together with verifying their practical efficacy in maintaining the overall quality of red Huajiao during frozen storage. UPLC-Q-TOF-MS/MS analysis identified ten anthocyanin monomers in RHAs, among which delphinidin-3,5-diglucoside (D3,5G, 28.23%), and delphinidin-3-O-glucoside (D3G, 14.86%) were verified as the predominant monomers. Naringin (NA) exhibited an optimal copigmentation effect, achieving a maximum color enhancement rate of 19.46% at a 1:40 molar ratio and a pH of 3.0 at 20 °C, while thermodynamic tests verified the excellent stability of the naringin–RHA complex. The copigmentation interactions between RHAs and copigments were largely attributed to hydrogen bonds, π–π stacking, and alkyl hydrophobic interactions. Considering practical application cost and flavor compatibility, chlorogenic acid (CGA) was selected as the preferred alternative copigment. Frozen storage tests suggested that soaking pretreatment with 10 mmol/L CGA effectively delayed color fading and maintained the integrity of the oil gland and the good sensory quality and color attributes of red Hujiao, with no adverse impacts on its inherent flavor and numbing components. Collectively, phenolic-mediated intermolecular copigmentation represents an efficient technical means for stabilizing color and maintaining the commercial quality of postharvest red Huajiao during frozen storage. Full article

Eggplant (Solanum melongena L.) is highly susceptible to chilling injury (CI) during cold storage, with severity being strongly influenced by fruit maturity stage. At the tissue level, the peel acts as the primary site of cold-stress metabolic responses. This study evaluated the effect of pre-storage glycine betaine treatment (GB, 10 mM) on CI in purple eggplant at baby (BB, low sensitivity) and commercial (CC, high sensitivity) maturity stages stored at 4 °C for 20 days, integrating the use of ATR-FTIR spectroscopy as a rapid, non-destructive tool to monitor quality in the fruit peel. Physiological traits including chilling injury index (CII) and fruit rigidity were integrated with peel-specific ATR-FTIR spectroscopy combined with chemometric analysis to describe structural and metabolic behavior. BB fruit showed higher tolerance to CI, reaching a CII 23% lower than CC after 20 d, along with greater rigidity retention. GB treatment was significantly effective in reducing CI in both maturity stages by decreasing CII by 23% for BB and 32% for CC fruit, and delaying symptom onset. FTIR analysis revealed that the main peel spectral changes during storage occurred in the amide–phenolic (1653–1515 cm⁻¹) and polysaccharide (~1017 cm⁻¹) regions. Control fruit showed progressive shifts in these regions indicating structural disorganization, while GB-treated fruit delayed and attenuated spectral changes. Chemometric analysis (OPLS-DA) clearly discriminated samples according to maturity stage, treatment, and storage time. Overall, the results demonstrate that chilling susceptibility is determined by maturity stage, that the GB treatment enhanced CI tolerance—especially in sensitive CC fruit—and that ATR-FTIR coupled with chemometrics provides an effective approach for rapid non-destructive monitoring of postharvest quality changes in eggplant during cold storage. Full article

An issue of common concern in lemon production is finding a safe and efficient alternative to 2,4-dichlorophenoxyacetic acid (2,4-D). In this study, ‘Eureka’ lemon fruits were treated with three concentrations (1, 2 and 3) of fluroxypyr-meptyl (FME), a combination of fluroxypyr-meptyl and fluroxypyr (FLFM), 2,4-dichlorophenoxypropionic acid (2,4-DP), and 2-methyl-4-chlorophenoxyacetic acid (MCPA). Water and 2,4-D served as controls. We measured the storage performance indicators of fruit, such as weight loss rate and decay rate, and shelf-life quality parameters, such as juice yield, flavor compounds and pesticide residues. During storage, weight loss was significantly higher in water than under all other treatments. Weight loss rates under FME2 and 2,4-DP3 were significantly lower than under 2,4-D. Decay rates in FLFM1, 2,4-DP2, and the FME series were significantly lower than in 2,4-D and water, whereas those in 2,4-DP1 and the MCPA series were significantly higher than in 2,4-D at 200 days after treatment. Regarding shelf-life performance, juice yield in water (65.14%) and 2,4-D (68.26%) was significantly lower than under most other treatments. The highest juice yield was observed in FME2 (77.84%). Treatments 2,4-DP1, 2,4-DP2, and FME2 were superior to 2,4-D and water in maintaining total soluble solids, titratable acid, and vitamin C contents, while other treatments showed no negative effects on internal quality. Fruits under MCPA2, 2,4-DP3, 2,4-DP2, and FME2 maintained better flavor compound profiles than those in water. Notably, MCPA2 resulted in significantly higher levels of terpenes (e.g., D-limonene) and aldehydes (e.g., citral); FME2 effectively maintained linalool, geraniol, and α-terpineol; and 2,4-DP3 performed well in maintaining D-limonene, sesquiterpenes, and alcohols compared with other treatments. All treated fruits complied with Chinese National Food Safety Standard Maximum Residue Limits for Pesticides in Food GB 2763-2026 and meet the EU standard limits for citrus. Overall, FME2 treatment resulted in the best storage performance and quality, followed by 2,4-DP3, indicating that these treatments may serve as effective postharvest alternatives for lemon preservation. Full article

Capsicum L. is valued for its pungency and nutrition but is susceptible to postharvest deterioration such as weight loss, softening, and decay, leading to reduced quality and marketability. While conventional methods like refrigeration and chemical treatments extend shelf life, they raise safety and environmental concerns. Recently, environmentally friendly preservation techniques have gained attention, including physical (modified atmosphere packaging, cold storage, plasma), chemical (ozone, 1-MCP, chlorine dioxide, nano selenium), and biological (biopolymer films, essential oils, melatonin) approaches. Studies show that combining two or more methods often yields synergistic effects, outperforming individual treatments. This review systematically outlines the physiological and quality changes in postharvest capsicum fruits and summarizes recent advances in key preservation technologies, with emphasis on combined strategies. It aims to provide insights into preservation mechanisms, suggest future research directions, and support the development of safe, effective, and sustainable practices for the capsicum industry. Full article

Microgreens have emerged as a nutrient-dense specialty crop with great potential to address global nutritional challenges through urban farming and controlled-environment agriculture. While interest in enhancing both the yield and nutritional quality of hydroponic microgreens is growing, a comprehensive synthesis of horticultural strategies is still lacking. This gap hinders the development of integrated approaches needed for efficient and targeted quality improvement. This review systematically examines the current literature on horticultural interventions for improving hydroponic microgreen production, focusing on nutrient solution management, light environmental manipulation, substrate selection, genetic potential, and emerging synergistic approaches. Nutrient solution optimization, including appropriate concentration, timing, and targeted biofortification with essential elements, enhances both productivity and nutritional density. Light spectral manipulation, particularly through red-to-far-red ratios or blue-light supplementation, enables precise control of morphology and the accumulation of bioactive compounds. Substrate physicochemical properties influence nutrient availability and uptake, while genetic variability among species and cultivars provides the foundation for biofortification efforts. Emerging approaches including biostimulant application, integrated pre- and post-harvest practices, and phenotyping and artificial intelligence integration offer additional avenues for sustainable quality enhancement. This review provides a framework for optimizing hydroponic microgreen production systems to simultaneously achieve high yield and enhanced nutritional quality. Full article