Fresh Market Research Articles

Characterization of Stemphylium Species Associated with Stemphylium Leaf Spot of Spinach (Spinacia oleracea).

Stemphylium leaf spot can result in significant losses to spinach seed, processing, and fresh market crops. Stemphylium isolates (n = 1,775) collected from 2000 to 2022 from spinach seed, leaves, and seed crop stem residues were used to assess the diversity of species associated with spinach. Eleven Stemphylium species were identified based on cmdA sequences: S. vesicarium (63.6% of isolates), S. beticola (48.9%), S. amaranthi (5.1%), S. eturmiunum (4.5%), S. astragali (4.0%), S. simmonsii (3.4%), and S. lucomagnoense, S. drummondii, S. gracilariae, S. lycopersici, and S. chrysanthemicola (each 0.6 to 1.7%). Only isolates of S. beticola, S. drummondii, and S. vesicarium were pathogenic to spinach. The incidence of spinach seed on which Stemphylium was observed ranged from 2.5 to 73.5% per seed lot, with S. vesicarium and S. beticola predominant. However, only 60.7 and 62.3% of isolates tested for these two species were pathogenic to spinach, respectively. Therefore, the incidence of Stemphylium species on spinach seed may not reflect accurately the risk of a seed lot carrying pathogenic isolates. Fused MAT1-1 and MAT1-2 genes were detected in isolates of S. vesicarium, but only MAT1-1 was detected in S. beticola isolates, which corroborates previous studies that have proposed the two species to be self-fertile. The duration of ascospore dispersal of S. beticola and S. vesicarium from spinach seed crop stem residues in western Washington, the primary region of spinach seed production in the United States, occurred from midwinter to late spring or early fall, potentially serving as inoculum for the next season's spinach seed crops. Growers should incorporate residues into the soil after harvest to reduce inoculum production of these pathogens on spinach seed crop residues.

Performance of Improved Bell Pepper Cultivars in Southern Georgia for Mature Green Fresh Market Production

Three research trials were performed over two spring seasons to assess the performance of bell pepper (Capsicum annuum) cultivars in southern Georgia, USA. Studies were conducted in commercial production fields in Echols and Lowndes counties, which are major bell pepper production areas in Georgia, USA. Eleven cultivars were evaluated, and 10 newer bell pepper cultivars with improved disease resistances for bacterial leaf spot races 1 to 10, tomato spotted wilt virus, and/or phytophthora were compared with ‘Aristotle’, which historically was the most widely grown bell pepper hybrid in the southeastern United States. Our goal was to determine how the new and improved cultivars compared with ‘Aristotle’ for total yield, fruit size distribution, and unmarketable defects in the absence of disease pressure. There were significant differences in fruit size, marketable fruit, and culls between cultivars contrasting their adaptability for production in southern Georgia. The top performers for yield and preferred fruit size for fresh market bell pepper spring production in southern Georgia were ‘Autry’, ‘Standout’, and ‘Antebellum’. Yields and fruit size distribution of these cultivars were similar to ‘Aristotle’ but may be preferred in certain situations due to additional disease resistance. The cultivar, SV 3255 also had higher yields and low defects but had smaller average fruit sizes.

Vacuum suction end-effector development for robotic harvesters of fresh market apples

Timely harvesting of fresh apples faces challenges due to labour shortage, and the modern approach of robotic harvesting has the potential to address this issue. The prevailing process of apple harvest robotics could not meet the demands of practical applications, mainly due to the lack of a suitable manipulator, because the existing ones are associated with low picking rates, fruit damage, and high costs. A prototype apple harvesting manipulator was developed, which includes a vacuum three-revolute-degrees-of-freedom end-effector, a three-prismatic-degrees-of-freedom Cartesian system, an RGB-D camera, and system integration. The vision positioning system and controller were designed to realise precise positioning and detachment of the manipulator. The major contribution of the current study is the three-revolute-degrees-of-freedom vacuum suction end-effector, whose performance evaluation was conducted in a commercial apple orchard. Experimental results showed that a 33ϕ mm diameter suction cup achieved superior performance over a 43ϕ mm cup. The method of rotation followed by pull proved to be more effective than only pulling for apple detachment. The results indicated that the apple’s equatorial region was the optimal area for suction. Furthermore, the vacuum pressure should be at least −65 kPa to guarantee successful detachment. Experimental results showed that 83.1% of harvested apples had stems intact. For the developed manipulator, a 33ϕ mm diameter suction cup, a rotate-and-pull separation method, and −65 kPa were recommended for practical applications. With the integrated new manipulator, the developed apple harvest robot has been demonstrated to have the potential to realise robotic apple harvesting.

Milk Value Chain Analysis: The Case of Urban and Peri-Urban Areas of Ambo and Dendi Districts, West Shewa Zone, Oromia National Regional State, Ethiopia

This study was aimed at analyzing value chain of milk in Urban and Peri – Urban areas of Ambo and Dendi districts of West Shewa Zone. The study made use of both primary and secondary data collected from 146 smallholder farmers, 30 consumers, 10 Hotels and Cafeterias and 2 primary milk cooperatives through application of individual interview schedules, focus group discussions and key informant interview. The analysis was made using descriptive statistics and value chain analysis. The value chain analysis revealed that the major actors in the districts milk value chains are input suppliers, milk producers, collectors, processors and consumers. Accordingly, the value chain activities in the chain were input supply, production, processing, marketing and consumption. Four milk marketing channels were identified and relative to all other fresh milk marketing channels, producers get a higher proportion of total gross marketing margin when they sell milk to cooperatives. Profitability analysis result for dairy production indicated that, a dairy producer obtains average gross margin of 83.65per improved cow per day, in the study areas which shows that dairy production was a profitable venture for smallholder dairy producers. Milk value chain in the study areas was hindered by shortage of feeds, continuous increasing price of feeds, poor AI service provision, poor supply of genetically improved cattle breeds, limited availability of credit services, limited extension service provision, poor feeding and animal husbandry practices, low level of market linkage among the value chain actors, absence of milk processing plant and non-market oriented milk production. Therefore, policy aiming at increasing farmers’ access to modern inputs, feed conservation practices, adequate training provision to AI technicians, developing and improving infrastructure, cooperative development and improving extension services are recommended to accelerate the milk value chain’s development in the study areas.

Genetic Characterization and Fruit Quality Analysis of New Mandarin Hybrids

Mandarin fruits with good physicochemical quality are desired for the fresh fruit market. The ease of crosses among citrus taxa has been used to expand genetic variability and select new varieties for different fruit markets. With the aim of selecting new commercial varieties, eleven hybrids obtained from the cross between Murcott tangor and Ponkan mandarin were grafted on Rangpur lime rootstock and evaluated for genetic and phenotypical characteristics. It was observed that there are significant differences in the fruit shape, content, and organoleptic characteristics in juice and differential responses to Alternaria alternate, the causal agent of the Alternaria brown spot (ABS) disease. The phenotypic and molecular characterization showed two groups of hybrids, those that resemble Ponkan and others with characteristics closer to the parental Murcott. There are significant differences in the period of fruit maturation among the hybrids and their parents. Considering the parents stand out as the main commercial varieties in the Brazilian mandarin fresh fruit market, these new hybrids have great potential for commercial acceptance and could be an excellent option to extend the period of supply of mandarins. Genetic and phenotypical information will be fundamental for the registration and/or protection of new varieties, which are essential steps that precede the commercial release to the producer.

Developing Strategies to Mitigate Squash Injury from the Soil Residual Activity of Glyphosate in Bareground Systems

Fresh market vegetables are an essential component of the human diet. Maximizing yield is critical, and to achieve this goal, fields must be weed-free when vegetable crops are planted. Historically, removing emerged weeds just before planting has been accomplished using the herbicide glyphosate. However, recent research has indicated that glyphosate applied to sandy, low-organic-matter soils just before transplanting vegetables can be injurious. Two field experiments investigated 1) the response of transplanted squash to the residual activity of glyphosate, and 2) the effects of implementing tillage, irrigation, or extending the plant-back interval after application and before planting to mitigate injury from glyphosate. Glyphosate applied at 1.3, 2.5, or 3.8 kg ae/ha 1 day before transplanting injured squash 13%, 29%, and 53%, respectively; extending the interval between application and planting to 7 days reduced injury to 1%, 11%, and 28% at the same rates. An interaction between application rate and planting interval was also observed on squash plant widths and biomass, as well as early-season and total marketable fruit numbers and weights. Total marketable fruit number was reduced 29% and 52% by glyphosate at 2.5 or 3.8 kg ae/ha, respectively, and a reduction in fruit production of 36%, 28%, and 23% was observed when glyphosate was applied 1, 4, or 7 days before transplanting, respectively. In a separate study, light tillage (5 cm deep) was the most effective cultural practice evaluated because it eliminated damage by glyphosate. Overhead irrigation of 0.6 cm was not beneficial in mitigating injury by glyphosate. Recommendations from this research will help vegetable growers avoid injury from the residual activity of glyphosate through a FIFRA 2(ee) recommendation label.

Data-Driven Fresh Food Supply Chain Management and Market Competitiveness Research

Data-Driven Fresh Food Supply Chain Management and Market Competitiveness Research

Lost vegetables, lost value: Assessment of carrot downgrading and losses at a large producer organisation

Retailers usually impose strict private quality standards on fresh fruit and vegetable products, mainly focused on cosmetic features. At the supplier level, this generates a stream of suboptimal products that cannot be sold on the fresh market. This article studies the impact of these standards on suppliers by means of a direct quantification conducted in 2023 in the carrot supply chain of an Italian Producer Organisation. 34.64% of the carrots processed in terms of mass is downgraded because of non-compliance with the standards imposed by retailers, while 12.57% is lost at the primary stage due to food safety reasons. Downgrading occurs as a result of cosmetic imperfection (33.28% of mass) or because carrots are out-of-size (66.72%). The downgraded carrots are re-processed for industry, generating an additional loss of 15.27% of mass along the way. The economic loss linked to downgrading would account for 22.05% of potential turnover if no cosmetic quality standards were applied. By modelling a series of hypothetical scenarios, this article discusses the impact on the producer if the private quality standards imposed by retailers were more flexible.

Tropical fruit‐derived starch: An innovative strategy for high‐value nutritional processing of agricultural solid waste

AbstractTropical fruits are popular worldwide due to their appealing flavors and diverse health benefits. However, a significant amount of waste is caused by inferior fruits that are partly eliminated from the fresh fruit market and by‐products produced during transportation, storage, and processing. With increasing focus on environmental sustainability and resource conservation, recycling waste resources from tropical fruits has emerged as a hot topic of interest. Fruit‐derived starch is an emerging approach to adding value for some tropical fruit waste and inferior fruits. This review article briefly overviews extraction methods, chemical composition, structural characteristics, physical and chemical properties, physiological benefits, modification techniques, and potential applications of new tropical fruit‐derived starch. Compared with traditional starch, tropical fruit‐derived starch exhibits unique structural and processing attributes, making it suitable as a supplement or replacement for industrial starch in the food industry. Moreover, tropical fruit‐derived starch retains the rich nutrients and functional components present in fruits to some extent, thereby offering potential health benefits and greater consumer acceptance. Although current research on starch derived from tropical fruits is primarily at the laboratory stage, and there is limited exploration of its processing and application, evolving lifestyle trends and heightened health awareness are expected to foster its further development and utilization, paving the way for large‐scale commercialization and driving future market growth.

Nondestructively Determining Soluble Solids Content of Blueberries Using Reflection Hyperspectral Imaging Technique

Effectively detecting the quality of blueberries is crucial for ensuring that high-quality products are supplied to the fresh market. This study developed a nondestructive method for determining the soluble solids content (SSC) of blueberry fruit by using a near-infrared hyperspectral imaging technique. The reflection hyperspectral images in the 900–1700 nm waveband range were collected from 480 fresh blueberry samples. An image analysis pipeline was developed to extract the spectrums of blueberries from the hyperspectral images. A regression model for quantifying SSC values was successfully established based on the full range of wavebands, achieving the highest RP2 of 0.8655 and the lowest RMSEP value of 0.4431 °Brix. Furthermore, three variable selection methods, namely the Successive Projections Algorithm (SPA), interval PLS (iPLS), and Genetic Algorithm (GA), were utilized to identify the feature wavebands for modeling. The models calibrated from feature wavebands generated an RMSEP of 0.4643 °Brix, 0.4791 °Brix, and 0.4764 °Brix, as well as the RP2 of 0.8507, 0.8397, and 0.8420 for SPA, iPLS, and GA, respectively. Furthermore, a pseudo-color distribution diagram of the SSC values within blueberries was successfully generated based on established models. This study demonstrated a novel approach for blueberry quality detection and inspection by jointly using hyperspectral imaging and machine learning methodologies. It can serve as a valuable reference for the development of grading equipment systems and portable testing devices for fruit quality assurance.

Early Tuberization: A Heat Stress Escape Strategy in the Fresh Market Potato Variety Vanguard Russet

Early Tuberization: A Heat Stress Escape Strategy in the Fresh Market Potato Variety Vanguard Russet

Multiple-perspective consumer segmentation using improved weighted Fuzzy k-prototypes clustering and swarm intelligence algorithm for fresh apricot market

Leveraging clustering technology for consumer segmentation is crucial for discerning the nuanced differences among fresh apricot consumer groups and subsequently executing precise marketing strategies. To achieve a more comprehensive and lucid consumer segmentation and identify typical characteristics of apricot consumers in different clusters, this research constructs a novel multiple-perspective segmentation indicator system for fresh apricot consumers. Given the diverse degrees of importance and types of consumer segmentation variables, and the inherent sensitivity of the original Fuzzy k-prototypes (FKP) algorithm to clustering centers, we proposed the weighted Fuzzy k-prototypes (WFKP) algorithms for mixed data (MD) optimized by the particle swarm optimization (PSO) algorithm (MDPSO-WFKP) and mixed data sparrow search algorithm (SSA) (MDSSA-WFKP), both incorporating information entropy weighting for mixed attributes. We test the proposed algorithms on four University of California Irvine machine learning repository (UCI) datasets and the consumer segmentation dataset, and the performance of all selected evaluation indexes shows significant improvement. These findings unequivocally validate the efficacy of the proposed methodologies. Since the MDSSA-WFKP algorithm has the best comprehensive effect on the evaluation indexes, we use it to conduct in-depth apricot consumer segmentation research and find that the apricot consumers can be subdivided into three groups with differentiation: ‘Buddhist-like youths’, ‘Upscale attribute enthusiasts’, and ‘Quality-oriented consumers’. Finally, this paper gives the corresponding marketing suggestions based on the characteristics of the segmented groups.

A Review of Fresh Market Sweet Corn Production and Price Trends from 2010 to 2022

This publication provides information on conventional fresh market sweet corn acreage, volume, and pricing for the top four producing states: California, Florida, Georgia, and New York. (Other states produce a substantial amount of processed market sweet corn but are not the focus here.) This is one in a series of Ask IFAS publications focused on trends in Florida’s five most economically important specialty crops (excluding citrus): fresh market sweet corn, bell peppers, tomatoes, watermelons, and strawberries. This information will be useful to producers, Extension agents, and others interested in trends concerning specialty crop commodities. This publication serves as a unique source summarizing important information about the specialty crop market and production trends.

Genomic prediction for potato (Solanum tuberosum) quality traits improved through image analysis.

Potato (Solanum tuberosum L.) is the most widely grown vegetable in the world. Consumers and processors evaluate potatoes based on quality traits such as shape and skin color, making these traits important targets for breeders. Achieving and evaluating genetic gain is facilitated by precise and accurate trait measures. Historically, quality traits have been measured using visual rating scales, which are subject to human error and necessarily lump individuals with distinct characteristics into categories. Image analysis offers a method of generating quantitative measures of quality traits. In this study, we use TubAR, an image-analysis R package, to generate quantitative measures of shape and skin color traits for use in genomic prediction. We developed and compared different genomic models based on additive and additive plus non-additive relationship matrices for two aspects of skin color, redness, and lightness, and two aspects of shape, roundness, and length-to-width ratio for fresh market red and yellow potatoes grown in Minnesota between 2020 and 2022. Similarly, we used the much larger chipping potato population grown during the same time to develop a multi-trait selection index including roundness, specific gravity, and yield. Traits ranged in heritability with shape traits falling between 0.23 and 0.85, and color traits falling between 0.34 and 0.91. Genetic effects were primarily additive with color traits showing the strongest effect (0.47), while shape traits varied based on market class. Modeling non-additive effects did not significantly improve prediction models for quality traits. The combination of image analysis and genomic prediction presents a promising avenue for improving potato quality traits.

Phenotypic Diversity of Released South African Bred Potato Varieties for Tuber Yield and Processing Quality

Abstract Potato (Solanum tuberosum L.) is a nutritious starchy tuber crop consumed as a staple food in most potato growing countries. Its productivity and production are limited by climate change; thus, it is of utmost importance to tap into the diversity of germplasm resources, therefore, diversifying the potato varieties available for production. The objectives of this study were to determine the phenotypic diversity among the selected Agricultural Research Council-Vegetable, Industrial and Medicinal Plants (ARC-VIMP) potato varieties for tuber yields and processing quality and to determine the correlation between measured traits. Two imported and 22 local potato varieties were planted in three different environments in South Africa. Significant (P < 0.001) differences in the tested varieties across all environments were observed for all measured traits. High broad-sense heritability (> 0.6) was observed for most of the traits, except for fry colour and the yield of unmarketable tubers. Nine ARC varieties and three standard varieties were associated with high tuber yield and quality traits, indicating their suitability for the fresh market and processing industry. Variety Mondial and five ARC varieties were associated with high tuber yield, indicating their suitability for the fresh market. Varieties released between 2004 and 2021 had high tuber yield, dry matter and specific gravity compared to the standard varieties and varieties released between 1980 and 1999, although there were slight differences in the magnitudes of their traits measured. These varieties could be recommended for commercial production for specific markets and for use as potential parents for further genetic improvement of the potato crop.

Prediction of blueberry sensory texture attributes by integrating multiple instrumental measurements

Blueberry (Vaccinium spp.) texture contributes to consumer satisfaction, shelf-life, and machine harvestability and is now a critical goal in breeding for new fresh market cultivars. The industry commonly uses instrumental methods to phenotype texture, assuming that instrumental measurements correlate with sensory perceptions. However, the relationship between perceived sensory textures and mechanical parameters is not well established. In this study, we characterized the fruit texture profile of 43 blueberry cultivars using nine sensory descriptors and determined the predictability of the sensory attributes using mechanical parameters. The sensory study was done by a trained descriptive sensory analysis panel, and instrumental analysis was performed using flat probe penetration and texture profile analysis (TPA) methods. Differences in the perceived firmness of blueberries were mainly due to springiness, hardness, and snap/crisp attributes. Among the mechanical parameters, maximum force (FM; a flat probe penetration parameter) and gumminess (a TPA parameter) had the strongest correlations with these three sensory attributes. To develop predictive models for the nine sensory attributes, multivariate statistical methods were used. The highest level of prediction accuracy was achieved when all the penetration or TPA parameters were used for model development. The R2 values increased by up to 0.66 compared to using a single mechanical parameter. Springiness, hardness, and snap/crisp were predictable with R2 > 0.5, regardless of the instrumental method used. TPA parameters were more suitable for predicting juiciness while residual skin was only predictable using penetration parameters. Mealiness was not predictable with any instrumental measure (R2 < 0.05). For most of the sensory attributes, the models were able to effectively discern the cultivars with the highest or lowest intensity scores. This study provides a basis for breeding programs to utilize improved estimations of the sensorial texture using diverse mechanical parameters to enhance selection for desired blueberry textures.

Field Screening of tomato breeding lines for improved resistance against Tomato Yellow Leaf Curl Virus (TYLCV)

The tomato represents an extensively cultivated crop within tropical and subtropical regions of the world for their fresh market and processing attribute. However, its production frequently encounters substantial setbacks due to notable losses associated with diseases such as Tomato Yellow Leaf Curl Virus (TyLCV). To address this challenge, the current study aimed to assess the resistance or susceptibility of selected 25 tomato breeding lines for TyLCV under natural field screenings to mimic real-world scenarios in accordance with the disease reaction score of Banerjee and Kalloo (1987). The field screening results showed that, the check Arka Vishes line demonstrated high resistance (HR) to TLCV, with reduced PDS, PDI values and a low coefficient of infection (CI). Several lines, including CBE SL 101, CBE SL 105, CBE SL 108, CBE SL 110, and CBE SL 114, exhibited a resistant (R) reaction, while others, such as CBE SL 102, CBE SL 107, CBE SL 112, CBE SL 120, and Arka Rakshak, displayed moderate resistance (MR). Conversely, lines CBE SL 103, CBE SL 104, CBE SL 106, CBE SL 109, CBE SL 111, CBE SL 115, CBE SL 117, and CBE SL 123 showed moderate susceptibility (MS), and the remaining lines, namely CBE SL 113, CBE SL 116, CBE SL 118, CBE SL 119, CBE SL 121, and CBE SL 122, were deemed susceptible to TLCV. The varying disease responses observed across these lines provide valuable insights into the complex dynamics of host-pathogen interactions in tomato plants, informing strategies for disease management and breeding efforts aimed at enhancing resistance to TLCV.

Review on Location of Fresh Cold Chain Logistics Distribution Center

This paper reviews the research status, existing problems and challenges, and future research directions of the location of fresh cold chain logistics distribution centers. The research background is based on factors such as the development of the fresh product market, the technological progress of cold chain logistics, the requirements of environmental protection and sustainable development, and the intensification of market competition. The significance of site selection includes improving transportation efficiency, reducing costs, improving customer satisfaction, optimizing supply chain networks, and achieving environmental sustainability.The former focuses on low-carbon, demand uncertainty, and competitive distribution center location, while the latter focuses on the new retail environment and cold chain distribution. The review of relevant literature points out that some progress has been made in the research, but there are challenges such as market demand uncertainty, incomplete data and limited model applicability.Future research directions include the location model of cold chain logistics distribution center based on big data, the location model considering sustainable development factors, and the location method of cold chain logistics distribution center integrating multi-index evaluation.In the conclusion, it is pointed out that in the past, the time window and the overall logistics network were rarely used as research evaluation indicators in the site selection problems, and the cost of reverse logistics and closed-loop supply chain was rarely considered. In the prospect part, it is proposed that in the future, we should pay attention to the problems of reverse logistics and closed-loop supply chain in the distribution of fresh agricultural products, consider the multi-objective optimization of low-carbon cold chain logistics network in different policies and fields, and combine full simulation technology and optimization technology to realize the system optimization research.

Morphological and genetic characterization of the muscadine fruit abscission zone.

Muscadines face limitations to fresh market production due to high manual labor costs. Mechanical harvesting holds promise for reducing the costs associated with muscadine production but requires cultivars with easily detached fruit at maturity. This study aimed to determine muscadine fruit and pedicel characteristics influencing fruit detachment force (FDF) and to unravel the genes, hormones, and regulatory networks governing muscadine abscission. We characterized the FDF of muscadine fruit across 18 genotypes and at four developmental stages. Following this, we performed a transcriptome analysis using the mature pedicel tissue of two genotypes, a genotype with high FDF at maturity and a genotype with low FDF at maturity, to identify differentially expressed and uniquely expressed genes contributing to fruit detachment. We found that pedicel length, pedicel-fruit junction area, and fruit diameter positively correlated with FDF. This study also identified novel candidate genes, transcription factor families, and pathways associated with muscadine fruit abscission. These findings provide valuable knowledge on the progression of fruit abscission and insights for reducing FDF, particularly in developing machine-harvestable muscadine cultivars and fostering sustainability and efficiency in muscadine production.

Managing fruit rot diseases of Vaccinium corymbosum.

Blueberry is an important perennial fruit crop with expanding consumption and production worldwide. Consumer demand for blueberries has grown due to the desirable flavor and numerous health benefits, and fresh market production in the U.S. has risen in turn. U.S. imports have also increased to satisfy year-round consumer demand for fresh blueberries. Pre- and post-harvest fruit diseases such as anthracnose (caused by Colletotrichum spp.) and botrytis fruit rot (caused by Botrytis spp.) have a significant impact on fruit quality and consumer acceptance. These are also among the most difficult diseases to control in the blueberry cropping system. These latent pathogens can cause significant losses both in the field, and especially during transport and marketplace storage. Although both diseases result in rotted fruit, the biology and infection strategies of the causal pathogens are very different, and the management strategies differ. Innovations for management, such as improved molecular detection assays for fungicide resistance, postharvest imaging, breeding resistant cultivars, and biopesticides have been developed for improved fruit quality. Development and integration of new strategies is critical for the long-term success of the blueberry industry.