Search Results (71)

Self-incompatibility (SI) is an important plant mechanism that prevents inbreeding depression by recognizing and rejecting self-pollen, thereby promoting outcrossing. However, SI can also act as a barrier in breeding programs, presenting significant challenges to breeders. Passion fruit (Passiflora edulis), a tropical fruit species of substantial economic importance, also serves as a valuable system for investigating SI mechanisms within the Passifloraceae. Nevertheless, the molecular basis of SI in passion fruit has not yet been elucidated. In this study, we investigated the SI system in yellow passion fruit (P. edulis f. flavicarpa) and employed transcriptomic analysis to examine the time-course transcriptional responses following different pollination treatments. Transcriptomic analysis revealed distinct gene expression dynamics under different pollination treatments: self-pollinated samples exhibited stronger and earlier transcriptional changes, whereas the number of differentially expressed genes (DEGs) in cross-pollinated samples was relatively lower. Numerous pathways previously associated with sporophytic self-incompatibility (SSI) were enriched in the stigma samples after self-pollination. Reactive oxygen species (ROS) are crucial signaling molecules involved in pollen germination and pollen tube growth during SI responses. Our results showed that ROS-related pathways were enriched in stigma tissues after self-pollination. In addition, oxidative stress-related responses were detected in the style shortly after self-pollination, suggesting that plastid-associated or general oxidative stress processes may also be involved, although the precise source of ROS requires further validation. FERONIA, ROP9, and ARC1 are key genes related to the SI system in Brassica. In the passion fruit SI response, the expression levels of these genes increased in the style, indicating a spatial expression pattern different from that reported in classical Brassicaceae SSI systems. Together with cytological observations showing that self-pollen rejection occurs at the stigma surface, our results suggest that yellow passion fruit may employ an SSI-like regulatory framework while exhibiting a lineage-specific spatial deployment of SI-related regulators. Overall, this study provides new transcriptomic insights into the SI mechanism of yellow passion fruit, establishes a molecular framework for understanding SI in P. edulis f. flavicarpa, and offers novel insights into the diversity of plant SI systems. Full article

The working environment of fruit-picking robots is highly complex, involving numerous obstacles such as branches. Sampling-based algorithms like Rapidly Exploring Random Trees (RRTs) are faster but suffer from low success rates and poor path quality. Deep reinforcement learning (DRL) has excelled in high-degree-of-freedom (DOF) robot path planning, but typically requires substantial computational resources and long training cycles, which limits its applicability in resource-constrained and large-scale agricultural deployments. However, picking robot agents trained by DRL underperform because of the complexity and dynamics of the picking scenes. We propose a real-time policy reconstruction method based on experience retrieval to augment an agent trained by DRL. The key idea is to optimize the agent’s policy during inference rather than retraining, thereby reducing training cost, energy consumption, and data requirements, which are critical factors for sustainable agricultural robotics. We first use Soft Actor–Critic (SAC) to train the agent with simple picking tasks and less episodes. When faced with complex picking tasks, instead of retraining the agent, we reconstruct its policy by retrieving experience from similar tasks and revising action in real time, which is implemented specifically by real-time action evaluation and rejection sampling. Overall, the agent evolves into an augment agent through policy reconstruction, enabling it to perform much better in complex tasks with narrow passages and dense obstacles than the original agent. We test our method both in simulation and in the real world. Results show that the augment agent outperforms the original agent and sampling-based algorithms such as BIT* and AIT* in terms of success rate (+133.3%) and path quality (+60.4%), demonstrating its potential to support reliable, scalable, and sustainable fruit-picking automation. Full article

Post-harvest losses of ‘Cruiser’ cantaloupe reach ~15% in arid regions of Mexico, representing substantial wasted water and embedded greenhouse-gas emissions. This study presents an open-access, low-temperature maceration protocol for converting cosmetically rejected fruit into a carotenoid-rich spirit at rural scale. A 5-day maceration at 20 °C (15% pulp, 20% v/v ethanol) preserved color, β-carotene, and antioxidant capacity over 90 days of storage. Shelf-life predictions beyond this period are model-based and require long-term validation. Trained assessors characterized the beverage with a favorable aromatic profile driven by fruity esters and floral terpenes. Life-cycle results indicated lower cradle-to-gate impacts than reference mango spirits, and composting of pomace generated a mature soil amendment. A simplified techno-economic scenario suggests potential for rural processing but excludes taxation, licensing, and regulatory compliance; thus, economic feasibility cannot yet be confirmed. Overall, this study provides a proof-of-concept pathway for valorizing cantaloupe waste through low-temperature maceration and identifies critical analytical, regulatory, and economic aspects needed for future scale-up. Full article

Orange peel is suitable for reuse due to the quantity and variety of bioactive compounds it contains, such as pectins, sugars and hesperidin. This study designed a scheme for reusing orange peel extract (OPE) using membrane technologies. Initially, a 100 kDa ceramic membrane was used to separate the pectins and hesperidine from acids and sugars and obtain a clarified product. In the subsequent stage, two ultrafiltration membranes of 25 and 5 kDa were tested, improving the results in terms of product transmittance and obtaining permeates whose physical–chemical parameters are compatible with those established by the European Fruit Juice Association. These membranes did not achieve complete separation of monosaccharide sugars from disaccharides. Finally, a 200 Da nanofiltration membrane was used, which completely reduced the sucrose and pectin content, concentrating glucose and fructose by 40%, values higher than those obtained with the GR90PP membrane. In addition, calcium and magnesium ions were completely rejected. Color changes in the permeate and concentrate streams could be appreciated due to the high concentration produced when working in batches. The nanofiltration (NF) process obtained lower yields (approximately 30%) compared to ultrafiltration (approximately 85%). Full article

Background/Objectives: Sensory properties of food, such as taste and smell, are the main factors influencing the preference or rejection of a given food product, especially among children. The aim of this study was to compare the food preferences of teenagers with diabetes to those of a group of healthy children. Additionally, we assessed the influence of children’s taste perception on food preferences. Methods: The study involved 102 adolescents with type 1 diabetes aged 11–15, including 55 girls and 47 boys. We used a questionnaire that consisted of 63 photos of various food products, dishes, and drinks. For the taste evaluation, we used paper strips impregnated with four basic tastes (sweet, sour, bitter, and salty). Results: Healthy teenagers were more likely to self-report preferences for sweet foods. The overall preference score for sweet products included in the study was higher in the control group. The median score for this group was 4.21 (3.92–4.42), and for the diabetes group, the median score was 4.03 (3.68–4.26) (p = 0.0008). Preferences for bitter-tasting vegetables and fruits were clearly higher in teenagers with type 1 diabetes. The overall preference score for bitter taste products included in the study was higher in the diabetes group. The median score for this group was 3.71 (3.00–4.14), and for the control group, the median score was 2.86 (2.14–3.50) (p < 0.0001). Conclusions: Adolescents with diabetes showed greater acceptance of certain bitter-tasting foods compared to their healthy peers. Lower preferences for sweet and higher preferences for bitter foods can be taken into account in establishing nutritional plans for adolescents with type 1 diabetes. Full article

Food loss and waste in school food services generate economic cost, environmental impacts, and social effects. Waste occurs in the final stages of the supply chain. It is particularly critical in educational institutions, leading to low nutrient intake during early stages of development and negatively impacting food security. Aiming to design a waste reduction strategy for the meal service of a preschool serving children aged 0–5 years, a descriptive observational study was conducted over a 6-month period. This study combined the measurement of the primary outcome (proportion of the served portion not consumed by food group) with the assessment of menu acceptability, the children’s food preferences, and the exploration of perceptions of both at-home caregivers and preschool professionals. Overall, the most frequent reasons for rejection were texture, preparation methods, and unfamiliarity with the food. The highest levels of waste were found in fruits and vegetables, with 17% left uneaten; protein-rich foods had a 15% waste rate, and cereals and tubers showed a 10% waste rate. Based on these findings, a family–school strategy is proposed that would increase household exposure to a wider variety of foods and establish periodic menu reviews to identify critical foods and ensure proper use in school food services. These results demonstrate that by enhancing food acceptance, we can decrease food waste, and in early stages, strengthen food security and nutritional use. Full article

Background/Objectives: Traditional kombucha is produced by fermenting a sweetened infusion of Camellia sinensis leaves with a symbiotic consortium of bacteria and yeasts (SCOBY). The growing interest in this beverage has driven the exploration of alternative substrates, including a wide range of plant-based raw materials, such as leaves, fruits, flowers, and seeds. Consequently, numerous products are being investigated for their differential properties, not only organoleptic but also nutritional and bioactive. This review aims to summarize recent advances in alternative kombucha research, focusing on the substrates used, their physicochemical and biochemical characteristics, and the biological activities studied. Methods: A comprehensive literature search was conducted to select articles related to alternative kombuchas. A critical analysis of their current state was carried out through the Strengths, Weaknesses, Opportunities, and Threats (SWOT) methodology. Results: The SWOT analysis led to the identification of strengths, including promising in vitro results and growing consumer interest; weaknesses, including a lack of animal studies, clinical trials, and approved health claims, and an excessive focus on antioxidant activity and phenolic compounds; opportunities, including substrate diversity, innovation, and consumer education; and threats, including elaboration risks, misinformation, competitors, and potential consumer rejection. Conclusions: Despite the promising results achieved to date, it is essential that the scientific community and the food industry continue efforts to generate robust evidence, particularly through clinical validation, in order to draw reliable conclusions regarding the benefits of alternative kombuchas for human health. Full article

Bananas (Musa AAA) can be affected by maturity bronzing, a physiological disorder that appears in the form of bronzing on the fruit’s epidermis, compromising its quality and generating economic losses due to commercial rejection. Since the symptoms are only evidenced at harvest, it is necessary to identify the associated factors in order to develop preventive strategies. This research analyzed morphometric and nutritional characteristics potentially related to the formation of stains on two banana-exporting farms in Antioquia and Magdalena (Colombia). Monitoring plots were established, in which 310 productive units with the banana Cavendish cv. Williams subgroup were evaluated over 52 weeks. In all units, the height, the pseudostem perimeter, the weight and number of hands of the bunch, and the weight of the affected fruit were recorded. In addition, foliar and soil analyses were conducted in each production unit, and some climatic components were characterized. Through a multiple logistic regression model, it was observed that a pseudostem perimeter smaller than 70 cm (measured 50 cm from the base), together with foliar B and Zn concentrations below 100 and 25 mg/kg, respectively, was associated with a higher probability of bronzing formation. These values should be interpreted as preliminary associations derived under specific conditions, and therefore as requiring validation across different contexts and management systems, before being considered as reference parameters. These findings provide new factors associated with maturity bronzing and open opportunities for future research aimed at its prevention. Full article

The jostaberry (Ribes × nidigrolaria) hybrid is a rich source of phytochemicals with high antioxidant activity (AA). However, due to the thick skin and seeds, the whole fruits are rejected by some consumers, and their incorporation into food products may negatively affect the sensory properties. Furthermore, after drying, including freeze-drying, jostaberries become sticky and gummy, making them unsuitable for grinding into powder. In this context, the present study aims to improve the handling properties and evaluate the biological value, antioxidant potential, physicochemical characteristics, and color parameters of biopolymer microparticles enriched with biologically active compounds (BACs) from jostaberry during freeze-drying and subsequent storage in the dark under ambient conditions (22 ± 1 °C, relative humidity ≤ 75%). For this, jostaberry extract (JE) was encapsulated using combinations of biocompatible carriers: maltodextrin-nutriose (resistant dextrin)-pectin and maltodextrin-nutriose-sodium alginate. The encapsulated products were freeze-dried to obtain microparticles (MNPJ and MNAJ) with yields of 87.7% and 88.9%, respectively. It was found that the biopolymer matrix provided superior protection for the encapsulated BACs during freeze-drying compared to the fruit matrix. The AA determined in MNPJ and MNAJ microparticles by DPPH and ABTS assays decreased only 1.1 and 1.5 times, respectively, while in freeze-dried jostaberry, AA showed a decrease of 3.7 times (DPPH) and 2.3 times (ABTS), respectively. Tukey’s post hoc HSD analysis revealed multiple significant differences (p < 0.05) between storage intervals for all measured parameters. While DPPH and ABTS values progressively decreased, total polyphenols (TPC) and anthocyanins concentration (TAC) and their retention efficiency showed changes after specific storage intervals (3, 6 and 12 months). After 12 months of storage, TPC and TAC decreased by 8.2% and 12.2% in MNPJ and by 3.3% and 3.9% in MNAJ, respectively. Therefore, microparticles containing sodium alginate showed the lowest BAC loss during storage. The obtained results reveal that after 12 months of storage, the color and physicochemical properties of the microparticles remained largely stable. Full article

Background/Objectives: Recent data shows increasing diabetes prevalence among African Americans. Youth with a family history of diabetes are at high risk for diabetes. This study explores the multilevel risk factors associated with a family history of diabetes among African American youth in public housing. Methods: This study used a cross-sectional, quantitative, and community-based participatory research (CBPR) approach. The research team, comprising community stakeholders and academic researchers, employed respondent-driven sampling (RDS) for data collection (survey) and used univariate and bivariate analyses to examine variable relationships. A sequential logistic regression highlighted factors influencing the likelihood of having a family history of diabetes. Results: The final sample (n = 190, mean age 18.5 years, 58% female) included 35% of youth with a family history of diabetes. Forty-six percent reported medium to severe household hardships. Results suggest that reporting a family history of diabetes is correlated with maternal substance use (tau-b = 0.27 **) and alcohol problems (tau-b = 0.16 ***), paternal substance use (tau-b = 0.17 *), and eating fewer fruits (tau-b = 0.17 *). With an odds ratio (OR) of 1.70 [0.68, 4.13] and attributable fraction among the exposed at 41.3%, the final model (3) was not significant [χ² = 11.19(8)]. Thus, we fail to reject the null hypothesis that the model fits the data well. Fewer vegetable consumption (OR = 15.08, p < 0.001), higher soda consumption (OR = 0.06, p < 0.001), severe household hardships (OR = 5.82, p < 0.01), and maternal substance use problems (OR = 6.81, p < 0.05) predicted a higher likelihood of a history of diabetes. Conclusions: Our study calls attention to the need to reevaluate interventions for hardships and substance use in diabetes management, particularly in poor neighborhoods and among minority families. Full article

Reliable, non-destructive grading of fresh fruit requires simultaneous assessment of external morphology and hidden internal defects. Camera-based grading of fresh fruit using colorimetric (RGB) and near-infrared (NIR) imaging often misses subsurface bruising and cannot capture the fruit’s true shape, leading to inconsistent quality assessment and increased waste. To address this, we developed a 4D-grading pipeline that fuses visible and near-infrared (VNIR) and short-wave infrared (SWIR) hyperspectral imaging with structured-light 3D scanning to non-destructively evaluate both internal defects and external form. Our contributions are (1) flagging the defects in fruits based on the reflectance information, (2) accurate shape and defect measurement based on the 3D data of fruits, and (3) an interpretable, decision-tree framework that assigns USDA-style quality (Premium, Grade 1/2, Reject) and size (Small–Extra Large) labels. We demonstrate this approach through preliminary results, suggesting that 4D hyperspectral imaging may offer advantages over single-modality methods by providing clear, interpretable decision rules and the potential for adaptation to other produce types. Full article

Drosophila suzukii is an invasive pest of many fruit crops worldwide. Employing the Sterile Insect Technique (SIT) could mitigate D. suzukii population growth and crop damage. This study evaluated the efficacy of SIT on commercial fruit, by (1) validating the quality of irradiated sterile males (male mating competitiveness, courtship, and flight performance) in the laboratory, and (2) assessing population suppression and fruit damage reduction in commercial raspberry fields. Treatment with SIT was compared to the grower’s standard chemical insecticide program throughout the season. The principal metrics of efficacy were trap counts of wild adult female D. suzukii in crops and larvae per fruit during harvesting. These metrics together with monitoring of border areas allowed targeting of high-pressure areas with higher releases of sterile males, to maximise efficacy for a given release number. The sterile male D. suzukii were as competitive as their fertile non-irradiated counterparts in laboratory mating competitiveness and flight performance studies while fertility egg-to-pupae recovery was reduced by 99%. In commercial raspberry crops, season-long releases of sterile males significantly suppressed the wild D. suzukii population, compared to the grower standard control strategy; with up to 89% reduction in wild female D. suzukii and 80% decrease in numbers of larvae per harvested fruit. Additionally, relative fruit waste (i.e., percentage of harvested fruits rejected for sale) at harvest was reduced for early, mid and late harvest crops, by up to 58% compared to the grower standard control. SIT has the potential to provide an effective and sustainable strategy for managing D. suzukii in raspberries, increasing marketable yield by reducing adult populations, fruit damage and waste fruit. SIT could therefore serve as a valuable tool for integrated pest management practices in berry production systems. Full article

The automated detection and classification of immature macauba (Acrocomia aculeata) fruits is critical for improving post-harvest processing and quality control. In this study, we present a comparative evaluation of two state-of-the-art YOLO architectures, YOLOv11x and YOLOv12x, trained on the newly constructed VIC01 dataset comprising 1600 annotated images captured under both background-free and natural background conditions. Both models were implemented in PyTorch and trained until the convergence of box regression, classification, and distribution-focal losses. Under an IoU (intersection over union) threshold of 0.50, YOLOv11x and YOLOv12x achieved an identical mean average precision (mAP₅₀) of 0.995 with perfect precision and recall or TPR (true positive rate). Averaged over IoU thresholds from 0.50 to 0.95, YOLOv11x demonstrated superior spatial localization performance (mAP_50–95 = 0.973), while YOLOv12x exhibited robust performance in complex background scenarios, achieving a competitive mAP_50–95. Inference throughput averaged 3.9 ms per image for YOLOv11x and 6.7 ms for YOLOv12x, highlighting a trade-off between speed and architectural complexity. Fused model representations revealed optimized layer fusion and reduced computational overhead (GFLOPs), facilitating efficient deployment. Confusion-matrix analyses confirmed YOLOv11x’s ability to reject background clutter more effectively than YOLOv12x, whereas precision–recall and F1-score curves indicated both models maintain near-perfect detection balance across thresholds. The public release of the VIC01 dataset and trained weights ensures reproducibility and supports future research. Our results underscore the importance of selecting architectures based on application-specific requirements, balancing detection accuracy, background discrimination, and computational constraints. Future work will extend this framework to additional maturation stages, sensor fusion modalities, and lightweight edge-deployment variants. By facilitating precise immature fruit identification, this work contributes to sustainable production and value addition in macauba processing. Full article

The Anthropocene has ushered in unprecedented environmental challenges, with invasive seaweed blooms emerging as a critical yet understudied facet of climate change. These blooms, driven by nutrient runoff and oceanic alterations, disrupt ecosystems, threaten biodiversity, and impose economic and public health burdens on coastal communities. However, invasive seaweeds also present an opportunity as a sustainable resource. This study explores the valorization of Sargassum spp. for agricultural applications, focusing on the development of biodegradable bioplastics and biostimulants. Field trials demonstrated the effectiveness of Marine Symbiotic^® Sargassum-derived biostimulant in distinct agricultural contexts. In the Dominican Republic, trials on pepper crops showed significant improvements, including a 33.26% increase in fruit weight, a 21.94% rise in fruit set percentage, a 45% higher yield under high-stress conditions, and a 48.42% reduction in fruit rejection compared to control. In Colombia, trials across four leafy green varieties revealed biomass increases of up to 360%, a 50% reduction in synthetic input dependency, and enhanced crop coloration, improving marketability. Additionally, Sargassum-based biofilms exhibited favorable mechanical properties and biodegradability, offering a sustainable alternative to conventional agricultural plastics. Carbon credit quantification revealed that valorizing Sargassum could prevent up to 89,670 tons of CO₂-equivalent emissions annually using just one Littoral Collection Module^® harvesting system, while biostimulant application enhanced carbon sequestration in crops. These findings underscore the potential of invasive seaweed valorization to address multiple climate challenges, from reducing plastic pollution and GHG emissions to enhancing agricultural resilience, thereby contributing to a sustainable Blue Economy and aligning with global sustainability goals. Full article

An important element of sustainability is food security, related to ensuring access to suitable food. Despite having an intensive agricultural economy and a developed food industry, European Union (EU) countries import some products. Within the Rapid Alert System for Food and Feed (RASFF), so-called border rejections are reported, which accounted for 38.7% of all notifications submitted in 2008–2023. The purpose of this study was to analyse border rejections reported in the RASFF in 2008–2023, considering hazards, hazard categories, product categories, notifying country, and country of origin. The data were pre-processed in Microsoft Excel and then subjected to two-way joining cluster analysis in Statistica 13.3. Taking into account the quantity of imports and the hazards, the greatest attention should be paid to fruits and vegetables from Turkey (presence of ochratoxin A, pesticides, and sulphites), nuts from Turkey (aflatoxins), poultry and spices from Brazil (Salmonella spp.), fish from China and Morocco (poor temperature control), and feed and fruits and vegetables from Ukraine (moulds). Through border rejections, the common European market is protected from hazards in food from outside the EU, which contributes to sustainability. However, ensuring safety in this regard requires close cooperation between border posts of all member countries. Full article