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Alternative pre-treatment strategies before drying offer the prospect to minimize drying time, replacing the use of chemicals, and preserving quality of dried fresh products. This study explored the application of low-pressure atmospheric cold plasma (CP) for 5- and 10 min (CP5 and CP10) as pre-treatments prior to processing and hot air drying (60 °C) of 'Heidi' mango, while non-treated samples served as control. Changes in tissue microstructure and physicochemical properties, bioactive compounds, and microbial load were evaluated, and seven thin layer drying models were applied. Scanned electron microscope images showed that CP pre-treatments altered the tissue microstructure of dried mango slices compared to control. 'Heidi' mango slices with the initial moisture content of 80 ± 0.2% on a wet basis was reduced by 81% and 76% in dried CP5 and CP10 samples, respectively. Drying time was reduced by 20% for CP pre-treated samples in comparison to control samples, and the drying behavior of 'Heidi' mango slices was best described by the Logarithmic model (R2, 0.9999 and RMSE, 0.0122). Colour attributes were best retained by sodium metabisulphite (SMB) pre-treated samples, followed by CP5 pre-treated, which performed better than CP10 and control (p ≤ 0.05). Highest total flavanols (15.0 ± 0.4 mg CE 100 g−1) and higher total phenolics (1528.2 ± 23.6 mg GA 100 g−1) were found in CP5 pre-treated samples compared to the control (p ≤ 0.05). Lowest antioxidant activities were found in CP10 pre-treated samples compared to the control (p ≤ 0.05). CP-pretreatment and drying resulted in ≥ 2 Log reduction in microbial load on mango slices. These results demonstrate to the role players in mango value addition chain, the potential of low-pressure CP pretreatment in enhancing/maintaining the bioactive compounds, reducing drying time and microbial load. [ABSTRACT FROM AUTHOR]

BACKGROUND: Mango fruits undergo numerous postharvest quality losses during storage. Hence, the present study aimed to increase the shelf life of mango fruits by applying hexanal‐based enhanced freshness formulations (EFF) in combination with hot water treatment (HWT). RESULTS: The findings revealed that, among all the tested applications, the combination of EFF 1.0% + HWT reduced the weight loss, decay incidence, and activity of cell wall degrading enzymes of mango fruits. Also, the combined treatment was effective in maintaining the fruit quality parameters such as soluble solid contents, titratable acidity, ascorbic acid and activity of antioxidant compounds. CONCLUSION: The present study concludes that the postharvest application of EEF 1.0% in combination with HWT can be used in extending the shelf life of mango cv. 'Langra,' fruits stored at 12° C and 85–90% relative humidity for 35 days. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Cetoniidae (Coleoptera), known as flower and fruit beetles, form a diverse group, feed on nectar, pollen, plant exudates, and are highly attracted to fermented fruits. To evaluate their diversity in natural and agricultural areas, traps baited with fermented fruits are used. The objective of this study was to compare the effectiveness of various types of fruit used as bait, with or without the addition of sugarcane juice to accelerate fruit fermentation, on the assessment of Cetoniidae diversity in the Brazilian Cerrado. The study was conducted in two conservation units in Brasília (DF, Brazil). Two experiments were conducted, the first aiming to select the most attractive fruits (banana, pineapple, mango, grape, or cagaita), and the second to verify whether there is interference of sugarcane juice in the fruit fermentation process and, consequently, in the attractiveness to Cetoniidae. The chemical profiles of the types of bait were evaluated by identifying and quantifying the main volatile organic compounds released by the fruit traps. Insect collections were conducted weekly using fruit‐baited traps for 1 month, without interruption. We found that the diversity estimate of Cetoniidae was higher for banana‐based baits relative to grape and cagaita fruit, but not relative to pineapple, mango, and sugarcane juice. Additionally, no increase in attractiveness was observed with the addition of sugarcane juice to banana, pineapple, and mango bait. Most compounds in the fruit extracts belong to alcohol, ester, and terpene functional groups. Our results suggest that banana, pineapple, mango, and sugarcane juice, used alone, may be used for Cetoniidae diversity studies, and that banana bait seems to be the most suitable for Cetoniidae collection in the Cerrado, because it enables the collection of a high diversity of species and also of species considered rare. [ABSTRACT FROM AUTHOR]

The food and agriculture sector is one of the world's most critical and essential industries, as it provides the necessities of life for a growing global population. Food assessment, especially fruit, is an essential mechanism for producers and industries that can affect fruit quality assessment and export markets. However, the food industry still practices manual fruit classification and quality assessment during post-harvest handling and is prone to human error. This research aims to implement a computer-assisted and non-destructive method to classify and determine fruit quality based on colour, odour, and shape characteristics to improve the efficiency of the post-harvest handling process. Six thousand samples of mango, honeydew, chilli and tomato went through the system with data processing techniques (image and odour) and the predictive model using multimodal deep learning algorithms such as convolutional neural network (CNN), CNN-LSTM, and CNN-SVM. The predictive model extracted and concatenated odour and image features using the feature fusion level method. As a result, multimodal CNN-LSTM achieved the highest accuracy rate, such as 93.50% in fruit classification and 96.08% in fruit quality assessment. The experiments demonstrate the feasibility of the proposed multimodal deep learning method in fruit classification and quality assessment. Finally, this fruit assessment intends to provide good food quality to the customers and maintain the food quality consistently. [ABSTRACT FROM AUTHOR]

Copyright of Revista Brasileira de Engenharia Agricola e Ambiental - Agriambi is the property of Revista Brasileira de Engenharia Agricola e Ambiental and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Mango fruit undergoes various physiochemical changes after its harvest that affect consumer acceptability. The present research work was carried out to evaluate the preservation effect of sodium nitroprusside (SNP) treatments on the postharvest quality of mango cv. Langra fruits at 12 ± 1°C for 35 days. The results revealed that SNP 1.0 mM treated fruits exhibited reduced weight loss (6.94%), decay incidence (8.05%), and activities of cell wall degrading enzymes like polygalacturonase and pectin methyl esterase in comparison to uncoated fruits on the last day of storage. Furthermore, the treatment maintained higher fruit firmness (56.77 N) along with fruit quality parameters like soluble solid content (16.24%), titratable acidity (0.20%), starch (4.99%), and, total flavonoid content (12.92 mg/100 g). Overall, SNP 1.0 mM combined with low-temperature storage was proved to be the most effective in extending the shelf life and preserving the quality characteristics of mango fruits. [ABSTRACT FROM AUTHOR]

Mango is a highly diverse tropical fruit with numerous varieties that differ in flavor, texture, and chemical composition. Consequently, identifying fraudulent substitutions of mango varieties poses a significant challenge using traditional techniques. Therefore, there is an increasing need for new methods to discriminate between mango varieties. Hyperspectral imaging coupled with machine learning techniques presents a promising approach for varietal discrimination. In this study, mango samples of eleven varieties were collected from a germplasm bank, with four slices obtained from each sample. Hyperspectral images were acquired in the Vis–NIR and NIR ranges for each slice, and spectral profiles were extracted and pretreated. Three discrimination models, linear discriminant analysis, K-nearest neighbor, and artificial neural networks, were implemented and validated using relevant wavelengths selected through a covering array feature selection algorithm. The performance of these models was evaluated using precision, accuracy, and F-score metrics. The average spectral profiles of the studied varieties exhibited a similar behavior with slight differences, which could be used for classification within the evaluated ranges. The optimal number of variables selected to refine the models was 17 for the UV–Vis–NIR range and 21 for the NIR range, with an accuracy ranging between 0.752 and 0.972. This study concludes that hyperspectral imaging combined with machine learning techniques can effectively discriminate between different varieties of mango. [ABSTRACT FROM AUTHOR]

AbstractA microwave-hot air belt dryer (MHABD) showed high specific energy consumption (SEC) due to its limited material processing capacity and extended drying time. Thus, this research presents the development and performance evaluation of an industrial microwave-hot air belt dryer (IMHABD) for drying Namdokmai Sithong mango slices. The IMHABD system, optimized using the COMSOL Multiphysics program, features a 0.9 m × 4.08 m × 0.5 m chamber with 36 magnetrons having a maximum microwave power of 28,800 W (each magnetron produces 800 W) at a frequency of 2,450 MHz. Two drying methods were studied, step-down microwave power drying (IMHABD-S) and constant microwave power drying (IMHABD-C). IMHABD-S, with a power range of 150–350 W combined with hot air at 65 °C, outperformed IMHABD-C, delivering enhanced drying rates, improved color attributes, and reduced shrinkage, along with decreased hardness and toughness values. All dried slices had a water activity lower than 0.6. An IMHABD-S operated at 350 W for 1.5 h showed the lowest SEC. Economic analysis revealed strong support for the IMHABD process, with a net present value (NPV) of 13,647 USD, an internal rate of return (IRR) of 15%, and a 4.95-year payback with a 10-year service life, highlighting its technical efficacy and economic viability for mango drying applications. [ABSTRACT FROM AUTHOR]

This study tested whether encouraging prediction enhances prediction in second language (L2) speakers. L2 English speakers listened to English sentences like The woman … will read/buy one of the newspapers while viewing the target (a newspaper) and distractor objects (a rose, a bowl, and a mango) on a screen and clicked on the target as quickly as possible. The target was predictable (read) or unpredictable (buy) from the verb meaning. Participants looked at the target longer and were quicker to move the mouse to it when instructed to predict sentence continuation than when they were merely instructed to comprehend sentences. This result held true both when the target was predictable and unpredictable. Furthermore, only when instructed to predict did the participants make more clicking errors when the target was unpredictable than predictable, which suggested that encouraging prediction can interfere with word recognition accuracy in unpredictable contexts due to reduced cognitive resources or failed predictions. [ABSTRACT FROM AUTHOR]

AbstractUnderstanding the nutritional dynamics before pruning is essential to elucidate how nutrient reserves affect the mango tree’s ability to regenerate tissues. A research project was carried out to determine the adequate range of supply for mango sprout phase (pre-pruning) in two different mango leaves (from the first and second vegetative flushes), and evaluate effect of biochemical activity on mango sprouting and correlate it with fruit yield. Two experiments with ‘Ataulfo’ and ‘Kent’ mangoes were carried out from 2021 to 2023. The experiments were arranged in randomized blocks with treatments distributed in subdivided plots referring to two N sources (NO3-, NH4+) in the plots and N doses (0, 50, 100, 150 and 200% of the recommended dose) in the subplots. The leaf nutrient concentrations, sodium, and α-amylase were evaluated in leaves of the 1st and 2nd vegetative flush, the number of shoots per pruned branch, and fruit yield. The number of shoots per pruned branch, influenced by the nutritional status prior to production pruning, varies with nutrient, and the 2nd vegetative flush after the previous pruning has a greater impact on shoot development in the current cycle. The shoot growth of the ‘Ataulfo’ after production pruning depends on leaf concentrations of phosphorus, potassium, calcium, sulfur, cooper, manganese, zinc and molybdenum, in addition to sodium, while ‘Kent’ depends only on phosphorus, cooper, iron, manganese, and zinc. The highest fruit yield indices are recorded under the average number of sprouts per pruned branch of 2.72 for ‘Ataulfo’ and 2.63 for ‘Kent’. [ABSTRACT FROM AUTHOR]

[Objective] To study the effect of chitosan-CMC composite film on the storage quality of Xiaoguifei mango. [Method] Chitosan membrane, CMC membrane, and chitosan-CMC composite membrane were prepared using chitosan and carboxymethylcellulose sodium (CMC) as film-forming agents. The Xiaoguifei mangoes treated with these three types of membranes were divided into groups A, B and C, and the CK group was set. Storage at room temperature (20± 2)℃, the effects of three types of membranes on the storage quality of Xiaoguifei mango were studied by measuring the disease index, decay rate, weight loss rate, acidity, soluble solids and scanning electron microscopy analysis of groups A, B, C and CK. [Result]After 20 days of storage, the disease index, decay rate and weight loss rate of Xiaoguifei mango treated with composite film were the lowest, while the acidity and soluble solids content were the highest. Scanning electron microscopy analysis revealed that the composite film had good cross-linking and a uniform and dense structure. [Conclusion]The CMC film had no preservation effect on the storage of Xiaoguifei mangoes, while chitosan-CMC composite film and chitosan film had a preservation effect on Xiaoguifei mangoes, and the preservation effect of chitosan-CMC composite film was greater than that of chitosan film. [ABSTRACT FROM AUTHOR]

AbstractIn order to solve the problems of low drying efficiency and poor drying quality existing in the current closed heat pump drying system (CHPD), a closed carbon dioxide heat pump drying system (CHPRD) with the function of combining rotor dehumidification was designed. This study investigates the drying kinetics and quality characteristics of CHPRD in low-temperature drying processes using mango as the drying material through experimental studies and theoretical analysis. The experimental results showed that the drying rate of CHPRD increased by 29% and 17.8%, the moisture removal rate per unit energy (SMER) by 14.2% and 12.5%, and the coefficient of performance (COP) by 17.3% and 12.0%, respectively, compared with that of CHPD in the low-temperature drying process with loading amounts of 400 and 450 g, respectively. In terms of drying quality, the rehydration factor (Rf) of CHPRD-dried mango slices increased by 6.0% and 5.0%, the ascorbic acid content increased by 15.0% and 14.4%, and the color difference (ΔE) was lower by 11.0% and 5.6%, respectively. These improvements indicate that CHPRD provides better drying kinetics and higher quality of dried material. Based on the experimental data, simulation fitting was conducted, revealing that the two-term model is the best mathematical model to simulate the drying characteristics of CHPRD for mango. [ABSTRACT FROM AUTHOR]

Agricultural productivity is one of the critical factors towards ensuring food security across the globe. However, some of the main crops, such as potato, tomato, and mango, are usually infested by leaf diseases, which considerably lower yield and quality. The traditional practice of diagnosing disease through visual inspection is labor-intensive, time-consuming, and can lead to numerous errors. To address these challenges, this study evokes the AgirLeafNet model, a deep learning-based solution with a hybrid of NASNetMobile for feature extraction and Few-Shot Learning (FSL) for classification. The Excess Green Index (ExG) is a novel approach that is a specified vegetation index that can further the ability of the model to distinguish and detect vegetative properties even in scenarios with minimal labeled data, demonstrating the tremendous potential for this application. AgirLeafNet demonstrates outstanding accuracy, with 100% accuracy for potato detection, 92% for tomato, and 99.8% for mango leaves, producing incredibly accurate results compared to the models already in use, as described in the literature. By demonstrating the viability of a deep learning/IoT system architecture, this study goes beyond the current state of multi-crop disease detection. It provides practical, effective, and efficient deep-learning solutions for sustainable agricultural production systems. The innovation of the model emphasizes its multi-crop capability, precision in results, and the suggested use of ExG to generate additional robust disease detection methods for new findings. The AgirLeafNet model is setting an entirely new standard for future research endeavors. [ABSTRACT FROM AUTHOR]

The microencapsulated yeast Meyerozyma guilliermondii LMA-Cp01 has previously shown high efficacy under laboratory tests against mango anthracnose caused by Colletotrichum gloeosporioides. Infection by C. gloeosporioides occurs in the field; therefore, it could be advantageous to apply the formulation at preharvest, which would reduce initial infection and control the pathogens. This work aimed to evaluate the effectiveness of free and two doses of microencapsulated M. guilliermondii applied in preharvest (four applications between early flowering and harvest) and one in postharvest to control mango anthracnose in two grown seasons. Besides, the effect of the treatments on quality parameters of mango fruit was also analyzed, as well as the quantification of the antagonist populations after its application on flowers and fruit. Preharvest applications of free and encapsulated M. guilliermondii significantly reduced anthracnose incidence and severity on fruit. M. guilliermondii microcapsules at 107 CFU mL−1 was as effective as fresh cells at 108 CFU mL−1. In orchard two, both doses of microcapsules were more effective than free cells and Captan, and no statistical differences between microcapsules and Benomyl were observed. The postharvest application was less effective in controlling mango anthracnose than preharvest. Under field conditions, LMA-Cp01 populations were higher on flowers and fruit treated with microencapsulated yeast than the free cells. Efficacy of M. guilliermondii was not improved by postharvest applications. Treatments did not adversely affect the quality parameters of mango. Microencapsulated M. guilliermondii LMA-Cp01 is a promising formulation to manage mango anthracnose through preharvest treatments. [ABSTRACT FROM AUTHOR]

In order to determine the diversity in local seedling origin mango genotypes from different five districts (Navsari, Valsad, Dang, Tapi and Surat) of South Gujarat region during 2021–2023, which have been found in orchards or backyards by using IPGRI mango descriptor. The exploration of genetic resources was carried out to find alternative genotype against prevailing varieties in the state and it sustain mango production in future. A total of 113 mango seedlings were identified and characterized on basis of 7 qualitative, 12 quantitative and 6 biochemical parameters using Completely Randomized Design with three replications of quantitative characteristics. High variation among genotypes was observed with respect qualitative, quantitative and biochemical parameters. Ten superior genotypes were identified based on five commercially important traits viz., fruit weight (> 200 g), pulp percentage (> 60.00%), TSS (> 20 °Brix), shelf life (> 7 days) and overall acceptability (> 7 point). The genetic variability revealed that higher heritability coupled with higher genetic advance as per cent of mean for 12 quantitative characteristics namely mature fruit weight, fruit length, fruit width, pulp weight, peel weight, stone weight, TSS, acidity, ascorbic acid, total sugars, reducing sugars and non-reducing sugars. The First three Principal component contributed 70.21% of total variation and characters such as mature fruit weight, fruit length, fruit width, pulp weight, peel weight and stone weight most contributing towards diversity in germplasm. Hierarchical cluster analysis resulted the genotypes was grouped into three clusters and genotypes present in cluster III (20) and cluster I (39) had found most divers from each other. [ABSTRACT FROM AUTHOR]

Summary: Mango is a nutritious fruit but susceptible to the development of black spots on its skin, which can significantly reduce the post‐harvest fruit quality. In response to this challenge, this study focused on preparing and characterising two inclusion complexes (ICs) by combining cinnamon essential oil (CEO) and lemongrass essential oil (LEO) with β‐cyclodextrin (β‐CD), named CEO‐β‐CD and LEO‐β‐CD. Their effectiveness in preserving mango fruit were evaluated. The findings demonstrated the successful encapsulation of essential oils by β‐CD, forming two distinct ICs. Moreover, these ICs notably extended the shelf‐life of mangoes by 40% and 25%, respectively, while reducing black spot occurrence on the fruit skin. Additionally, analysis of physicochemical parameters revealed that the CEO‐β‐CD IC, at a dosage of 2.5 mg per gram of mango, could notably enhance the overall fruit quality. In conclusion, the application of CEO‐β‐CD, at an appropriate concentration, exhibits promising potential as an effective preservative for mangoes. [ABSTRACT FROM AUTHOR]

A review of the business specialty units offered by Mango Languages. [ABSTRACT FROM AUTHOR]

Factors that influence the parasite load in a host bat include sex, age, reproductive condition, health, and body condition. Among the ectoparasitic mites found on bats, species from the family Chirodiscidae are commonly observed on molossid bats. This study aimed to analyse the parasitism of Dentocarpus silvai on Molossus molossus in two roosts, discussing the ecology of the host–ectoparasite relationship. We sampled a colony of M. molossus sheltering in the roof lining of a house and in the hollow of a Mangifera indica tree located on Itacuruçá Island, Rio de Janeiro state, southeastern Brazil. A total of 495 D. silvai were collected from 176 M. molossus. Parasitological indices (mean intensity and prevalence) were higher in the tree hollow than in the roof lining, with females being more heavily parasitized than males. Among the six models evaluated, bat abundance best explained the variation in the number of mites. The dispersal success and infestation of D. silvai are associated with roost commuting by individuals (mainly females) of M. molossus that favours the infestation of new bats, which may extend the parasite occurrence. The present study is the first to analyse the infestation of D. silvai on a host species. [ABSTRACT FROM AUTHOR]

Background: The dramatic temperature fluctuations spurred by global warming and the accompanying extreme weather events inhibit mango growth and threaten mango productivity. Particularly, mango flowering is highly sensitive to temperature changes. The mango fruit setting rate was significantly positively correlated with pollen activity, and pollen activity was regulated by different metabolites. Methods: In this study, the in vitro pollen of two mango varieties ('Renong No.1' and 'Jinhuang'), in which sensitivity to temperature differed significantly, were subjected to different temperature stresses (15 °C, 25 °C and 35 °C), and their metabolomics were analyzed. Results: The present results showed that 775 differential metabolites were screened by liquid chromatography–mass spectrometry and divided into 12 categories. The two varieties had significant differences in metabolite expression under different temperature stresses and the effect of low temperature on 'Renong No.1' mainly focused on amino acid metabolism, while the effect on 'Jinhuang' was mainly related to glycolysis. However, under the 35 °C temperature stress, 'Renong No.1' responded by redistributing riboflavin and betaine in vivo and the most obvious metabolic pathway of 'Jinhuang' enrichment was pyrimidine metabolism, which had undergone complex main body formation and extensive regulatory processes. The changes of metabolites of different varieties under low temperature and high temperature stress were different. Among them, flavonoids or flavonoid derivatives were included in class A (216 metabolites), C (163 metabolites) and D (233 metabolites) metabolites, indicating that flavonoid metabolites had an obvious regulatory effect on mango pollen metabolism under different temperature stress. Conclusions: The present results provide valuable information for reproductive biology studies and breeding in mango, in particular, the selection and breeding of the most suitable varieties for different production areas. [ABSTRACT FROM AUTHOR]

Introduction: Mango fruit and its by-products represent a very diverse and abundant source of sugars and components with anti-inflammatory and antioxidant properties, such as dietary fiber, vitamins, and polyphenols. Consuming mango pulp might reduce health disorders caused by inflammatory and oxidative processes such as obesity related diseases. Mango and its by-products contain compounds that can either promote or neutralize inflammatory and oxidative environments; variations in their composition may directly influence the degree of bioactivity. This work aimed to analyze the nutritional and nutraceutical profiles presented in the three different mango by-products to know their possible nutraceutical potential. Objective: This work aimed to analyze the nutritional and nutraceutical profiles presented in the three different mango by-products to know their possible nutraceutical potential. Methods: Ripe Ataulfo mango products (pulp, peel, and peel fiber) were evaluated for nutritional composition by AOAC methods. β-carotene and ascorbic acid were analyzed by UV-Vis liquid chromatography (LC), while mangiferin, phenolics and flavonoids by LC coupled to mass spectrometer detector. The antioxidant capacity was correlated to each of the bioactive compounds. Results: Ripe Ataulfo mango products (pulp, peel, and peel fiber) were evaluated for nutritional, antioxidant, and phytochemical characteristics. All the by-products demonstrated significant differences (P ≤ 0.05) in nutritional and chemical composition. Mango peel had the highest β-carotene, vitamin C, and mangiferin values. Mango pulp had the highest values for free sugars (73 g 100 g-1), but low phytochemicals values, contrasting the peel fiber with 81% of total dietary fiber but minimum values of free sugars and β-carotene and no vitamin C. The highest antioxidant capacity was presented for mango peel. Results obtained from this study indicate that the mango Ataulfo pulp and by-products are divergent and represent a good source of bioactive compounds. Conclusions: Mango peel composition is a natural combination of high concentrations of mangiferin, flavonoids, phenolic acids, vitamin C, provitamin A, and dietary fiber, all involved with inflammation and cell oxidative stress-related disease control and prevention. However, mango peel exhibited the most significant nutraceutical potential due to its high antioxidant capacity. [ABSTRACT FROM AUTHOR]

Anthocyanins are important secondary metabolites contributing to the red coloration of fruits, the biosynthesis of which is significantly affected by light. Glutathione S-transferases (GSTs) play critical roles in the transport of anthocyanins from the cytosol to the vacuole. Despite their importance, GST genes in mango have not been extensively characterized. In this study, 62 mango GST genes were identified and further divided into six subfamilies. MiGSTs displayed high similarity in their exon/intron structure and motif and domain composition within the same subfamilies. The mango genome harbored eleven pairs of segmental gene duplications and ten sets of tandemly duplicated genes. Orthologous analysis identified twenty-nine, seven, thirty-four, and nineteen pairs of orthologous genes among mango MiGST genes and their counterparts in Arabidopsis, rice, citrus, and bayberry, respectively. Tissue-specific expression profiling highlighted tissue-specific expression patterns for MiGST genes. RNA-seq and qPCR analyses revealed elevated expression levels of seven MiGSTs including MiDHAR1, MiGSTU7, MiGSTU13, MiGSTU21, MiGSTF3, MiGSTF8, and MiGSTF9 during light-induced anthocyanin accumulation in mango. This study establishes a comprehensive genetic framework of MiGSTs in mango fruit and their potential roles in regulating anthocyanin accumulation, which is helpful in developing GST-derived molecular markers and speeding up the process of breeding new red-colored mango cultivars. [ABSTRACT FROM AUTHOR]

Polycyclic aromatic hydrocarbons (PAHs), carcinogenic substances primarily formed through pyrolysis and oxidation of fat at high cooking temperatures, are commonly found at high levels in grilled meats. Reducing PAHs formation by incorporating natural antioxidants, such as through marination, has been demonstrated to be effective. However, the inhibitory effect of fresh phenolic-rich fruit powders on PAHs formation in charcoal-grilled meats remains unknown. To clarify the application of the fruit powders, 15 experimental groups were conducted. All pretreatment techniques (spraying, marinating, and mixing) were applied across all four freeze-dried fruit powders (lemon, guava, papaya, and mango). Each method was systematically tested with each fruit powder to evaluate its effect on inhibiting the formation of the four PAHs (BaA, CHR, BbF, and BaP) in charcoal-grilled pork belly and loin. Firstly, guava powder exhibited the highest phenolic content and antioxidant activity compared to the lemon, papaya, and mango powders (p < 0.05), among which the main phenolic compounds were ellagic acid, quercetin, and epigallocatechin gallate (EGCG). Further, marination of pork belly with guava powder exhibited the highest inhibition rate of PAHs (94.8%), followed by lemon (91.1%), papaya (89.8%), and mango (89.0%), with a statistically significant difference at p < 0.05. The reduction in estimated daily intake (EDI) and the increase in the margin of exposure (MOE) indicate that consuming grilled meat treated with these fruit powders poses no safety concerns and may potentially reduce health risks. Finally, the sensory evaluation showed that marinating with guava powder did not perceptibly affect the sensory attributes of the meat. Overall, this study provides a potent strategy for inhibiting the formation of PAHs in meat during charcoal grilling by incorporating fruit powder while preserving sensory qualities. [ABSTRACT FROM AUTHOR]

Copyright of Irrigation & Drainage is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Levan is a naturally occurring polysaccharide, found in many microorganisms and plants. The polymer is composed of fructose molecules. Food processing industries generate a lot of sugar rich waste consisting of different fruit peels that could be used for levan biosynthesis of levan. The present research presents levan production by Bacillus subtillis via solid state fermentation (SSF) using various sucrose-rich fruit peels. Peels of mango, banana, apple, and sugarcane bagasse were screened and maximum levan yield (1.87 mg/g) was found with mango peels after 24 h at pH 7 and 30 °C. Levan production from mango peel was further optimized for physical parameters using central composite design (CCD) of response surface methodology (RSM). The maximum levan yield (7.586 mg/g) from mango peels was achieved at 120 h incubation, 60% moisture content, 7 pH, and 32 °C. The functional groups of levan were confirmed by FTIR analysis. Sugar content was done by HPLC analysis, which confirmed levan has only fructose sugar. Mango peel could be a potential source for levan production. [ABSTRACT FROM AUTHOR]

Background: Fruit crops, including tropical and subtropical fruits like Avocado (Persea americana), Fig (Ficus carica), Date Palm (Phoenix dactylifera), Mango (Mangifera indica), Guava (Psidium guajava), Papaya (Carica papaya), Pineapple (Ananas comosus), and Banana (Musa acuminata) are economically vital, contributing significantly to global agricultural output, as classified by the FAO's World Programme for the Census of Agriculture. Advancements in next-generation sequencing, have transformed fruit crop breeding by providing in-depth genomic and transcriptomic data. RNA sequencing enables high-throughput analysis of gene expression, and functional genomics, crucial for addressing horticultural challenges and enhancing fruit production. The genomic and expression data for key tropical and sub-tropical fruit crops is currently lacking a comprehensive expression atlas, revealing a significant gap in resources for horticulturists who require a unified platform with diverse datasets across various conditions and cultivars. Results: The Fruit Expression Atlas (FEAtl), available at http://backlin.cabgrid.res.in/FEAtl/, is a first-ever extensive and unified expression atlas for tropical and subtropical fruit crops developed using 3-tier architecture. The expressivity of coding and non-coding genes, encompassing 2,060 RNA-Seq samples across 91 tissue types and 177 BioProjects, it provides a comprehensive view of gene expression patterns for different tissues under various conditions. FEAtl features multiple tabs that cater to different aspects of the dataset, namely, Home, About, Analyze, Statistics, and Team and contains seven central functional modules: Transcript Information,Sample Information, Expression Profiles in FPKM and TPM, Functional Analysis, Genes Based on Tau Score, and Search for Specific Gene. The expression of a transcript of interest can be easily queried by searching by tissue ID and transcript type. Expression data can be displayed as a heat map, along with functional descriptions as well as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Conclusions: This atlas represents a groundbreaking compilation of a wide array of information pertaining to eight distinct fruit crops and serves as a fundamental resource for comparative analysis among different fruit species and is a catalyst for functional genomic studies. Database availability: http://backlin.cabgrid.res.in/FEAtl/. [ABSTRACT FROM AUTHOR]

AbstractThe role of some Colletotrichum species is uncertain in crops of economic importance for Colombia such as mango (Mangifera indica L.) cv. Azúcar. Eight Colletotrichum isolates from asymptomatic plant tissues were characterized by their pathogenicity on fruits and identified by phylogenetic analysis of the sequences of the ITS, GADPH, Tub2, CHs-1 and Act genomic regions. Colletotrichum asianum, C. gloeosporioides and C. tropicale of the C. gloeosporioides species complex and C. karstii of the C. boninense species complex were identified. The highest virulence was observed for isolates of C. asianum, that was the most prevalent species, and for C. tropicale, that showed high and intermediate virulence levels, indicating diversity in pathogenicity within the same species. The isolate of C. karstii, which displayed intermediate virulence, is the first report on mango in Colombia. Colletotrichum gloeosporioides presented intermediate virulence and was isolated at a low frequency in the present research. The mycelial growth rate did not show differences between species and ranged between 6.1 and 8.3 mm per day. Colletotrichum asianum recorded higher values of conidia germination and appressoria formation than other species, at 77% and 79%, respectively (p < 0.001). The shape and size of conidia did not vary between species. Appressoria exhibited different shapes between isolates and the largest average diameter was for C. karstii with 7.6 µm (p < 0.001). There was a diversity of Colletotrichum species associated with mango cv. Azúcar in Colombia, with differential virulence among isolates of the same species. [ABSTRACT FROM AUTHOR]

This study investigated the sorption and residues of phosphine in fruits and vegetables relevant for export. Sorption patterns varied among the commodities: mango exhibited a constant sorption range of 10–12%, bitter gourd displayed a distinct pattern with peak sorption of 20% at 8 hours, and chilli demonstrated a higher range of sorption percentage, peaking at 60% at 8 hours. ANOVA (F (4,8) = 0.449, p = 0.771) and regression (F (1,11) = 0.851, p = 0.376) analysis revealed a non-significant relationship between the sorption percentage and exposure period. Residue analysis using Gas Chromatography with FPD detector revealed relatively low levels of phosphine residues in mango (0.009–0.01 µL/L), negligible traces in chilli samples, residues within the maximum residue limit (MRL) range for bitter gourd after 4–6 hours of aeration. Detecting phosphine residues within acceptable limits underscores the significance of post-fumigation protocols to meet stringent food safety standards, thereby safeguarding product integrity for global trade. Therefore, phosphine fumigation could serve as a viable alternative to methyl bromide fumigation for quarantine treatment of perishables as it doesn’t leave detectable toxic residues in produce following aeration and has no role in ozone depletion thus making it a more sustainable solution for international trade in fresh produce. [ABSTRACT FROM AUTHOR]

Geographical indication agricultural products is one of the important resources for building regional brands of agricultural products, and it is imperative to carry out legislative protection work around it. Legislative protection and brand building complement each other, promote each other, at this stage, there are shortcomings in the legislative protection of geographical indication agricultural products in China, restricting the brand building comprehensive promotion. This paper combines the development of Baise mango industry to explore the real needs of legislative protection of Baise mango and brand building linkage development path, which is of great significance to the implementation of regional industrial upgrading and rural revitalisation strategy, and also provides a reference basis for the protection and branding of other geographical indication agricultural products. [ABSTRACT FROM AUTHOR]

Real-time and accurate assessment of the photosynthetic rate is of great importance for monitoring the contribution of leaves to the global carbon cycle. The electron transport rate is a critical parameter for accurate simulation of the net photosynthetic rate, which is highly sensitive to both light conditions and the biochemical state of the leaf. Although various approaches, including hyperspectral remote sensing techniques, have been proposed so far, the actual electron transport rate is rarely quantified in real time other than being derived from the maximum electron transport (Jmax) at a reference temperature in most gas exchange models, leading to the decoupling of gas exchange characteristics from environmental drivers. This study explores the potential of using incident light intensity, hyperspectral reflectance data, and their combination for real-time quantification of the actual electron transport rate (Ja) in mango leaves. The results show that the variations in Ja could be accurately estimated using a combination of incident light intensity and leaf reflectance at 715 nm, with a ratio of performance to deviation (RPD) value of 2.12 (very good predictive performance). Furthermore, the Ja of sunlit leaves can be predicted with an RPD value of about 2.60 using light intensity and a single-band reflectance value within 760–1320 nm, while the actual electron transport rate of shaded leaves can only be predicted with a lower RPD value of 1.73 (fair performance) using light intensity and reflectance at 685 nm. These results offer valuable insights into developing non-destructive, rapid methods for real-time estimation of actual electron transport rates using hyperspectral remote sensing data and incident light conditions. [ABSTRACT FROM AUTHOR]

This study aimed to optimize modified starch from Mangifera indica (mango) fruit using acid hydrolysis and pre-gelatinization via computer-assisted techniques as a substituent for pharmaceutical tableting excipients. The hydrolysis and microwave-assisted pre-gelatinization time and temperature were optimized using a three-level factorial design. The modified starches were characterized for flowability, compressibility, and swelling properties. It was found that all parameters fit a quadratic model, which can be used to predict the properties of the modified starch. The optimized hydrolysis reaction was 3.8 h at 56.4 °C, while the pre-gelatinization reaction was 3 min at 150 °C. Structural changes were found, ascertaining that starch modification was successful. The optimized hydrolyzed starch showed superior properties in relative to unmodified M. indica fruit starch and comparable characteristics to conventional excipients. The optimized pre-gelatinized starch presented an excellent enhancement in the flow and compression properties, with %swelling greatly augmented 3.95-fold and 1.24-fold compared to unmodified starch and SSG, respectively. Additionally, the pre-gelatinized starch presented comparable binding effect, while the hydrolyzed powder had reduced binding capacity due to shorter chains. The findings revealed that the use of software-assisted design of experiment facilitated a data-driven approach to optimize the modifications. The optimized modified mango starch demonstrated potential as a multifunctional excipient, capable of functioning as binder, disintegrant, and diluent. [ABSTRACT FROM AUTHOR]

Mango (Mangifera indica L.) is one of the most significant tropical and subtropical fruit species, with high ecological and economic value. However, research on the in vitro culture of mangoes is relatively weak, so establishing an efficient and stable mango plant regeneration system is of great significance. In this study, a preliminary mango regeneration system was established with Mangifera indica L. cv. Keitt from young branches as the starting explants. The results showed that the optimal plant growth regulator (PGR) formula for direct adventitious shoot induction on the branches was 1 mg/L 6-benzylaminopurine (6-BA) + 0.1 mg/L a-naphthaleneacetic acid (NAA), with an adventitious shoot induction rate of 73.63% and an average of 6.76 adventitious shoots. The optimal basal medium for adventitious shoot induction was wood plant medium (WPM), with an adventitious shoot induction rate of 63.87% and an average of 5.21 adventitious shoots. The optimal culture medium for adventitious shoot elongation was WPM + 1 mg/L 6-BA + 0.5 mg/L NAA, with an adventitious shoot elongation rate of 89.33% and an average length of 5.17 cm. The optimal formula for the induction of mango rooting was Douglas fir cotyledon revised medium (DCR) + 3 mg/L indole-3-butyric acid (IBA), with a maximum rooting rate of 66.13% and an average rooting quantity of 6.43. The genetic fidelity of the in vitro-regenerated plants was evaluated using inter-simple sequence repeat (ISSR) molecular markers. There was no difference between the in vitro-regenerated plants and the parent plant. This study provides an efficient and stable propagation system for Mangifera indica L., laying the foundation for its rapid propagation and genetic improvement. [ABSTRACT FROM AUTHOR]

Mango (Mangifera indica L.) is a popular fruit grown in tropical and subtropical regions. Mango has a distinctive aroma, flavour, and nutritional properties. Annual global mango production is >50 million tonnes. Major producers of mango include India, Bangladesh, China, Mexico, Pakistan, Indonesia, Brazil, Thailand, and the Philippines, and it is shipped worldwide. Harvested mango fruit are highly perishable, with a short shelf life. Physiological disorders are among the major factors limiting their postharvest quality and shelf life, including when fruit need phytosanitary treatments, such as hot water treatment, vapour heat treatment, and irradiation. This review focuses on problematic physiological disorders of mango flesh, including physiology and biochemistry. It considers factors contributing to the development and/or exacerbation of internal disorders. Improved production practices, including pruning, nutrient application, and irrigation, along with monitoring and managing environmental conditions (viz., temperature, humidity, and vapour pressure deficit), can potentially maintain fruit robustness to better tolerate otherwise stressful postharvest operations. As demand for mangoes on international markets is compromised by internal quality, robust fruit is crucial to maintaining existing and gaining new domestic and export consumer markets. Considering mango quality, a dynamic system, a more holistic approach encompassing pre-, at-, and post-harvest conditions as a continuum is needed to determine fruit predisposition and subsequent management of internal disorders. [ABSTRACT FROM AUTHOR]

Summary The quality of processed products can be adversely affected by uncontrollable batches of mangoes, which exhibit heterogeneous characteristics. This study aimed to establish predictive models for sugar and organic acid contents (dependent variables) in processed products using the initial compositions of fresh mangoes. Three mango cultivars (cv. ‘Kent’, cv. ‘Keo Romeat’, and cv. ‘Keo Chen’) were classified as low‐density and high‐density groups. Each group of mangoes at the green‐mature, mid‐ripe, and ripe stages was processed into pasteurised purees, dried slices, and mango chips. Prediction models were established using a mix of simple linear regression (SLR) based on the initial content and Analysis of Variance (ANOVA) to identify the impact of qualitative variables (ripening stage, cultivar‐density, and processing technique). In processed mangoes, 13% sucrose content was estimated to accumulate with the three qualitative variables, whereas glucose and fructose contents decreased from their initial levels by 10% and 7%, respectively. Processing techniques can predict the ratio of sugars/acids (S/A) in processed products, regardless of the ripening stage or cultivar‐density. Similar to S/A, citric acid and malic acid contents in mango products were significantly increased by processing techniques. The initial content and processes were insufficient to predict the final contents of the same parameters in processed mangoes; therefore, some models need to include the effects of ripening stage and cultivar‐density to improve the prediction. These relevant explanatory variables contributed significantly to the development of the models, resulting the accuracy of predictive models with normalised root mean square errors (NRMSEs) lower than 10%, except for malic acid (14.04%). In conclusion, it is feasible to estimate the sugar and acidity levels in processed mangoes, offering promising possibilities for ensuring consistent quality of mango‐based products. [ABSTRACT FROM AUTHOR]

ABSTRACT Fruit by‐products are a sustainable and cost‐effective alternative to traditional grain feed for livestock. One of the most important by‐products is mango seed kernel (MSK), which can be used as a valuable energy source for feeding growing calves in the tropical and subtropical productive regions of the world. This study investigated the effect of replacing corn grains (CGs) with MSK on intake, nutrient digestibility, blood metabolites and rumen parameters. Eighteen growing male Friesian calves (200 ± 6.55 kg of body weight and 9–11 months old) were randomly assigned to three treatment groups. Three concentrate feed mixtures were formulated such that MSK replaced CG at 0%, 25% and 50%. Dry matter intake was unaffected, whereas dry matter, organic matter and fibre digestibility increased linearly (p < 0.05) with increased inclusion of MSK. Ruminal pH (p = 0.053) and total volatile fatty acid (VFA) concentration (p = 0.041) increased linearly. There was a linear decrease in cholesterol (p = 0.029) and AST (p = 0.028) levels in the blood of calves. In conclusion, this study demonstrated the positive effect of replacing 50% of CG with MSK on rumen parameters, including a higher ruminal pH and total VFA concentration, alongside higher nutrient digestibility. The dietary inclusion of mango seed can serve as a valuable and sustainable dietary component for growing calves. [ABSTRACT FROM AUTHOR]

BACKGROUND RESULTS CONCLUSION The scoby pellicle of symbiotic culture of bacteria and yeast is a by‐product from kombucha fermentation. While a portion is used as starter culture, the remainder is often discarded, yet it can be a valuable source of bacterial cellulose.Scoby from black, green and oolong tea kombucha fermentation was assessed for its hydrocolloid effects in mango jam‐making through evaluation of physicochemical, textural and sensory characteristics. Quality of jam was significantly improved with water activity reduction up to 22.22% to 0.679, moisture content reduction up to 37.06% to 19.92%, and a pH drop up to 5.9% to 3.19 with the use of 20 to 100 g kg−1 scoby. In colour analysis, presence of scoby led to a brighter jam due to higher L*$$ {L}^{\ast } $$ values from 30.98 to a range of 31.82 to 40.83. Texture of jam with scoby gave higher gel strength and adhesiveness, with the most prominent effects from the black tea kombucha. Overall acceptability in sensory test scoring was above 70% on a nine‐point hedonic scale with the 40 g kg−1 green tea kombucha scoby jam chosen as the most preferred.Scoby gave significant contributions to jam stability, appearance and texture, showing potential as a clean‐label food ingredient. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

To reduce the number of bruised mangoes at source, it is important to determine the different storage times of mangoes after mild bruise. In order to address this issue, a hyperspectral imaging combined with deep learning model was proposed. First, the average spectrum of the sample bruised area was extracted as spectral features, and then, the six eigenvalues of the most representative PC1 image were calculated as texture features based on the gray level co‐occurrence matrix. In order to find the optimal discriminative model, random forest (RF), partial least squares discriminant analysis (PLS‐DA), extreme gradient boosting (XGBoost), and convolutional neural network (CNN) models were built based on spectral features, texture features, and spectral features combined with texture features (Feature Fusion 1), respectively. The results showed that the best model discriminating model was based on CNN under Feature Fusion 1, with an overall accuracy of 90.22%. To reduce the redundant information and noise introduced by the full spectrum, uninformative variable elimination (UVE) and competitive adaptive reweighted sampling (CARS) algorithms were used to filter the spectral features. The screened spectral features were fused with texture features (Feature Fusion 2) and modeled again with RF, PLS‐DA, XGBoost, and CNN. The results showed that the optimal model for discriminating different storage times of mangoes after bruise was the CNN model based on feature fusion 2 (CARS), with an overall accuracy of 93.48%. In summary, this study shows that the spectral features combined with texture features can be used to effectively improve the model's discriminative results for different storage times of mango after mild bruise. Compared to other machine learning models, the CNN model in this paper achieves better results. It provides a theoretical basis for hyperspectral imaging combined with deep learning in discriminating different storage times of mangoes after mild bruise. A study based on hyperspectral imaging combined with deep learning to determine the storage time of bruised mangoes. Spectral and texture features were extracted, and models were built using RF, PLS‐DA, XGBoost, and CNN. The CNN model, especially when combining spectral and texture features, achieved 93.48% accuracy, surpassing other models. This approach offers a promising method for discerning storage times of bruised mangoes, highlighting the effectiveness of combining spectral and texture features, with CNN being the superior model. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate the species diversity of Malmidea in China and further identify its species composition and distribution. The lichen specimens collected from Yunnan Province were classified based on the investigation of lichen resources in the field and the collection of lichen specimens, and combined with the methods of morphology, anatomy and chemistry. Three new records of Malmidea were reported from China, M. indica (D. D. Awasthi & M. R. Agarwal) Hafellner & T. Sprib, M. reunionis Kalb and M. hechicerae Kalb. In this paper, detailed descriptions, morphology and anatomical pictures of the recorded species were provided, and comparison and discussion were made with similar species. A key to all known Chinese Malmidea species was also provided. This study enriches the diversity of Malmidea in China, and has some significance for conservation and study of lichen diversity of China. [ABSTRACT FROM AUTHOR]

mice. The researchers found that both lactobacillus and saffron had antidepressant effects, with lactobacillus showing a stronger effect. The study suggests that probiotics and saffron may have potential as alternative or complementary treatments for depression.Overall, this document provides a range of articles from the Journal of Food Science that cover topics such as historical recipes, food history, food technology, nutrition, and health. These articles offer valuable insights into various aspects of food science and can be useful for library patrons conducting research in these areas. [Extracted from the article]

Near infrared spectroscopy (NIRS) is an analytical technique that offers a real advantage over laboratory analysis in the food industry due to its low operating costs, rapid analysis, and non‐destructive sampling technique. Numerous studies have shown the relevance of NIR spectra analysis for assessing certain food properties with the right calibration. This makes it useful in quality control and in the continuous monitoring of food processing. However, the NIR calibration process is difficult and time‐consuming. Analysis methods and techniques vary according to the configuration of the NIR instrument, the sample to be analyzed and the attribute that is to be predicted. This makes calibration a challenge for many manufacturers. This paper aims to provide a data‐driven methodology for developing a decision support tool based on the smart selection of NIRS wavelength to assess various food properties. The decision support tool based on the methodology has been evaluated on samples of cocoa beans, grains of wheat and mangoes. Promising results were obtained for each of the selected models for the moisture and fat content of cocoa beans (R2cv: 0.90, R2test: 0.93, RMSEP: 0.354%; R2cv: 0.73, R2test: 0.79, RMSEP: 0.913%), acidity and vitamin C content of mangoes (R2cv: 0.93, R2test: 0.97, RMSEP: 17.40%; R2cv: 0.66, R2test: 0.46, RMSEP: 0.848%), and protein content of wheat—DS2 (R2cv: 0.90, R2test:0.92, RMSEP: 0.490%) respectively. Moreover, the proposed approach allows results to be obtained that are better than benchmarks for the moisture and protein content of wheat—DS1 (R2cv: 0.90, R2test: 94, RMSEP: 0.337%; R2cv: 0.99, R2test: 0.99, RMSEP: 0.177%), respectively. Practical Application: This research introduces a practical tool aimed at determining the quality of food by identifying specific light wavelengths. However, it is important to acknowledge potential challenges, such as overfitting. Before implementation, it is crucial for further research to address and mitigate the issues to ensure the reliability and accuracy of the solution. If successfully applied, this tool could significantly enhance the accuracy of near‐infrared spectroscopy in assessing food quality attributes. This advancement would provide invaluable support for decision‐making in industries involved in food production, ultimately leading to better overall product quality for consumers. [ABSTRACT FROM AUTHOR]

The convective hot-air drying technology can cause physicochemical, nutritional, and organoleptic losses in the mango (Mangifera indica). The present Systematic Review was carried out with the objective of comparing mango dehydration technologies to identify the effects on the physicochemical, nutritional, and organoleptic properties of the fruit. Through a review of published scientific and conference papers in the Scopus database, adjusted to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, a total of 134 documents dated between 2000 and December 6 of 2022 were obtained; 76 of these documents were finally included in the bibliographic and theoretical analysis. Selection parameters emphasizing the relationship between the articles and the research topic, evidenced by including at least one of three dehydration technologies and the fruit of interest with an experimental or theoretical approach to the dehydration subject; review articles and surveys were excluded. Correlation graphs of bibliographic variables were made using the data mining software VantagePoint (version 15.1), which was graphically restructured in Microsoft Excel with the support of statistical analysis. Of the resulting articles, it was found that the countries with authors who participated most in scientific production like India, Brazil, Colombia, the United States, and Thailand, were those related to mango production or importation. Furthermore, the freeze-drying technology allows operating at lower temperatures than convective hot-air drying, contributing to the preservation of ascorbic acid, among other compounds. The refractance window has the shortest operation time to obtain moisture values between 10 and 20%. The dehydrated samples using the refractance window are smooth, homogeneous, non-porous, and comparable to the color obtained with freeze-drying, which is acceptable for industrial applications. [ABSTRACT FROM AUTHOR]

Rootstocks/scions with potential for commercial growing, either for the industry or fresh market, have been one of the main objectives of the fruit breeding programs. Fruit crop breeding has impediments like polyembryony (PE) which is otherwise desirable for clonal plant propagation. In nature PE exist in some fruit crops like citrus, mango, jamun, rose apple, almond etc. In polyembryonic crops, there is an occurrence of the more than one embryo in seed and subsequently numerous seedlings emerge from that single seed. The mother type seedlings are considered nucellar are often vigorous in nature as compared to zygotic ones. In this review, the classification, genetic basis and mechanism of PE has been discussed. In current review, morphogenetic authentication of seedling from polyembronic seed has been discussed in the light of recent research. Transcriptional pathway along with the inheritance pattern and molecular breeding aspects of PE has also been summarized. [ABSTRACT FROM AUTHOR]

Plants play an important role in nanoparticle preparation because they are easily accessible, environmentally friendly, and inexpensive. In this study, we used an ethanolic extract of Mangifera indica seed as a reducing and stabilising agent to create zinc oxide (ZnO) nanoparticles (NPs). The ZnO NPs were examined using characterization techniques such as UV-Vis, Fourier transform infrared (FT-IR), X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM). The interaction of phytochemical constituents from plant extracts providing the biological reduction of zinc metal ions to ZnO had been identified by the UV-visible absorption studies. According to the FT-IR results, metal oxides exhibited interatomic vibration-driven absorption in the fingerprint area below 1000 cm–1. Particles appeared to be crystalline and also a rice-grain shape of ZnO NPs was confirmed by XRD, SEM, and TEM, respectively. In addition, the cytotoxic effect of ZnO NPs was checked using the SKMEL-28 cell line, showing an IC50 value of 32.686 μg/mL in the SKMEL-28 cell line, and 49.011 μg/mL in the typical L6 cell line. Furthermore, the synthesized NPs were subjected to (AO/EB) double staining approach to examine the apoptotic activity. The acridine orange/ethidium bromide method made strong evidence for demonstrating chromatin condensation and membrane blebbing. [ABSTRACT FROM AUTHOR]

Recent developments in affordable depth imaging hardware and the use of 2D Convolutional Neural Networks (CNN) in object detection and segmentation have accelerated the adoption of machine vision in a range of applications, with mainstream models often out-performing previous application-specific architectures. The need for the release of training and test datasets with any work reporting model development is emphasized to enable the re-evaluation of published work. An additional reporting need is the documentation of the performance of the re-training of a given model, quantifying the impact of stochastic processes in training. Three mango orchard applications were considered: the (i) fruit count, (ii) fruit size and (iii) branch avoidance in automated harvesting. All training and test datasets used in this work are available publicly. The mAP 'coefficient of variation' (Standard Deviation, SD, divided by mean of predictions using models of repeated trainings × 100) was approximately 0.2% for the fruit detection model and 1 and 2% for the fruit and branch segmentation models, respectively. A YOLOv8m model achieved a mAP50 of 99.3%, outperforming the previous benchmark, the purpose-designed 'MangoYOLO', for the application of the real-time detection of mango fruit on images of tree canopies using an edge computing device as a viable use case. YOLOv8 and v9 models outperformed the benchmark MaskR-CNN model in terms of their accuracy and inference time, achieving up to a 98.8% mAP50 on fruit predictions and 66.2% on branches in a leafy canopy. For fruit sizing, the accuracy of YOLOv8m-seg was like that achieved using Mask R-CNN, but the inference time was much shorter, again an enabler for the field adoption of this technology. A branch avoidance algorithm was proposed, where the implementation of this algorithm in real-time on an edge computing device was enabled by the short inference time of a YOLOv8-seg model for branches and fruit. This capability contributes to the development of automated fruit harvesting. [ABSTRACT FROM AUTHOR]

Precision agriculture-based orchard management relies heavily on the accurate delineation of tree canopies, especially for high-value crops like mangoes. Traditional GIS and remote sensing methods, such as Object-Based Imagery Analysis (OBIA), often face challenges due to overlapping canopies, complex tree structures, and varied light conditions. This study aims to enhance the accuracy of mango orchard mapping by developing a novel deep-learning approach that combines fine-tuned object detection and segmentation techniques. UAV imagery was collected over a 65-acre mango orchard in Multan, Pakistan, and processed into an RGB orthomosaic with a 3 cm ground sampling distance. The You Only Look Once (YOLOv7) framework was trained on an annotated dataset to detect individual mango trees. The resultant bounding boxes were used as prompts for the segment anything model (SAM) for precise delineation of canopy boundaries. Validation against ground truth data of 175 manually digitized trees showed a strong correlation ( R 2 = 0.97), indicating high accuracy and minimal bias. The proposed method achieved a mean absolute percentage error (MAPE) of 4.94% and root mean square error (RMSE) of 80.23 sq ft against manually digitized tree canopies with an average size of 1290.14 sq ft. The proposed approach effectively addresses common issues such as inaccurate bounding boxes and over- or under-segmentation of tree canopies. The enhanced accuracy can substantially assist in various downstream tasks such as tree location mapping, canopy volume estimation, health monitoring, and crop yield estimation. [ABSTRACT FROM AUTHOR]

Among the main global health concern is the rampant rise in antibiotic resistant bacteria. One of the appealing and promising strategies to combat this menace is to target the adaptive mechanism called quorum sensing (QS) used by bacteria to survive. Exploratory research on anti-QS compounds derived from natural products has been a promising area. The present study investigated methanolic extracts from 26 plants to compare their anti-QS activity using the QS biosensor strain Chromobacterium violaceum American Type Culture Collection (ATCC 12472) (Microbial Type Culture Collection MTCC2656). QS-mediated violacein pigment inhibition was carried out using agar well diffusion method with concentrations ranging from 10 mg/ml to 100 mg/ml. Leaf extracts of Mangifera indica and Pimenta dioica and peel extract of Punica granatum were the only three plants found to exhibit violacein inhibitory potential till 10 mg/ml. The result of the minimum inhibitory concentration (MIC) showed 1.6 mg/ml for M. indica and P. dioica and 6.25 mg/ml for P. granatum. Further, violacein inhibitory properties of these extracts at and below MIC were evaluated by well diffusion assay (qualitative) and by flask incubation assay (quantitative). The zone of inhibition (well diffusion assay) was found to be 14.51 ± 0.63 mm to 10.37 ± 0.68mm for M. indica, 15.23 ± 0.57 mm to 9.62 ± 1.29 mm for P. granatum and 17.01 ± 0.1 mm to 13.14 ± 0.18 mm for P. dioica. The inhibitory effect of the plant extracts via quantitative assay on violacein ranged from 83-49%, 89-81%, and 89-49% for M. indica, P. granatum, and P. dioica respectively. Our findings suggested the potential of M. indica, P. granatum, and P. dioica methanolic extracts as a source of effective inhibitors of QS-mediated violacein production. [ABSTRACT FROM AUTHOR]

Metal complexes were synthesized and characterized using infra-red spectra, magnetic susceptibility and X-ray diffraction analysis. The combined application of these metal complexes with extracts from medicinal plants (Tamarindus indica, Emblica officinalis, Vitex negundo and Mangifera indica L.) with antimicrobial properties, showed synergistic effect. Comparative analysis revealed that the antimycotic activity of medicinal plant extracts combined with metal complexes was higher than individual metal complexes or plant extracts alone. Notably, cadmium ferrocyanide + E. officinalis extract and nickel ferrocyanide + T. indica extract exhibited highest antimycotic activities, respectively, when integrated with metal hexacyanoferrate (II) compounds against Alternaria solani. These findings showed the enhanced antimicrobial efficacy through synergistic interactions between metal complexes and medicinal plant extracts, highlighting their potential for sustainable disease management. [ABSTRACT FROM AUTHOR]

Recent years witnessed an increasing consumer interest for the consumption of fruits preserved with non-chemical, eco and health-friendly approaches. This led to continuous work on deriving plant based natural treatments such as essential oils (EOs) for managing postharvest fruit loss. However, selection of EO which bear preservation potential along with the quality retention (sensory and shelf-life attributes) is now a prime concern for the postharvest researchers. Present study uncovers the preservation ability of EOs such as thyme oil (0.1 % v/v), clove oil (0.06 % v/v), neem oil (2 % v/v) and citronella oil (0.01 % v/v) on keeping quality, fruit decay and shelf life of mangoes cv. 'Amrapali'. The fruit were subjected to EOs coating dip treatment for 3 min, followed by storage at ambient condition. Observations on postharvest attributes (physical, physiological, biochemicals, decay and sensory) were recorded at 3 days interval up to storage period completion (12th day). The results showed that all EOs positively influenced the studied preservation characteristics. Interestingly, thyme oil (0.1 %) application exhibited the excellent level of overall fruit quality and preservation potential. This treatment exhibited highest overall fruit quality (7.71) and sensory score (6.47) while controlling the 'quality deterioration attributes' such as physiological loss (6.91 %), fruit respiration-ethylene activity and fruit softening enzymes activities to the least level. Moreover 3 days extension of storage period along with >90% decay control was achieved over control fruit. It was concluded that thyme oil (0.1 %) exhibited the best preservation potential on keeping mangoes fresh. The outcome of this study bears practical utility for fruit preservation industry, organic farming, and fruit traders. [Display omitted] • Among the attempted EOs, thyme oil (0.1 %) application exhibited excellent fruit quality and preservation potential on mango fruit. • Thyme oil application for keeping mangoes fresh in terms of both preservation potential and fruit quality were un-envisaged till now. • The plant EOs are of GRAS nature, health-eco, consumer friendly and cost-effective promising technique. • This is first report on the quadrupole effect of EOs and recommends thyme postharvest application for PHM of mango fruit. • The results of present study bear practical utility for fresh fruit industry and researchers. [ABSTRACT FROM AUTHOR]

Summary: The baking industry is greatly interested in incorporating banana peel and mango peel into a broader spectrum of baked goods. This review delves into the innovative utilisation of banana and mango peels in various baked products, specifically focusing on biscuits, cookies, cakes, and cake doughnuts. Incorporating banana peel in baked goods has gained attention for its potential to enhance flavour, texture, and nutritional value. Similarly, mango peel has been explored for its unique properties and potential contributions to baked items. This review emphasises the health benefits of banana and mango peels, including antioxidants, fibre, and other nutritional advantages that help prevent diseases and promote overall well‐being. Limited scientific studies may explore using banana peel and mango peel specifically as functional ingredients in baked products. This review highlights the utilisation of banana peel and mango peel in baked products, focusing on their influence on product quality, sensory characteristics, and potential health benefits. It presents a sustainable and innovative approach to creating healthier, more flavourful baked products. [ABSTRACT FROM AUTHOR]

In the present study, the fatty acid composition (FAC), triacylglycerol (TAG) composition, crystallization, and melting behaviors of mango kernel fats (MKFs) extracted from seven Ivorian mango varieties—Amelie (AM), Kent (KT), Palmer (PR), Keitt (KI), Brooks (BR), Dadiani (DI), and Djakoumankoun (DN)—were characterized by complementary techniques: pNMR, DSC, polarized light microscopy, and X-ray diffraction. Regardless of the variety, Ivorian MKF is rich in stearic (St) and oleic (O) fatty acids. (72–84% of the total FA), with three main TAGs: StOSt (23.9–45.8%), StOO (15.5–25.8%), and StLSt (10.4–12.5%). Their crystallization onset temperature (Tco) ranged from 15 to 20 °C. All samples showed complete melting around 35 °C, except DN (~ 38 °C). The β-polymorph appeared to be the most predominant and stable polymorph for the seven MKFs. The thermal properties investigated were linked to monounsaturated and triunsaturated triacylglycerol content, indicating the significant influence of chemical composition. The fine analysis of the results allows the seven Ivorian varieties to be divided into four groups, based on both their physical properties and thermal behavior, and the StOSt wealth: hard high-StOSt fat (DN), half-hard medium-StOSt fat (DI, BR), soft low-StOSt fat (KT, PR, KI), and very-soft very-low-StOSt fat (AM). The seven investigated mango varieties from Ivory Coast might offer a wide range of applications in food, pharmaceutical, and cosmetic industries. [ABSTRACT FROM AUTHOR]

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