Mango farming significantly contributes to the economy,particularly in developing countries.However,mango trees are susceptible to various diseases caused by fungi,viruses,and bacteria,and diagnosing these diseases at...Mango farming significantly contributes to the economy,particularly in developing countries.However,mango trees are susceptible to various diseases caused by fungi,viruses,and bacteria,and diagnosing these diseases at an early stage is crucial to prevent their spread,which can lead to substantial losses.The development of deep learning models for detecting crop diseases is an active area of research in smart agriculture.This study focuses on mango plant diseases and employs the ConvNeXt and Vision Transformer(ViT)architectures.Two datasets were used.The first,MangoLeafBD,contains data for mango leaf diseases such as anthracnose,bacterial canker,gall midge,and powdery mildew.The second,SenMangoFruitDDS,includes data for mango fruit diseases such as Alternaria,Anthracnose,Black Mould Rot,Healthy,and Stem and Rot.Both datasets were obtained from publicly available sources.The proposed model achieved an accuracy of 99.87%on the MangoLeafBD dataset and 98.40%on the MangoFruitDDS dataset.The results demonstrate that ConvNeXt and ViT models can effectively diagnose mango diseases,enabling farmers to identify these conditions more efficiently.The system contributes to increased mango production and minimizes economic losses by reducing the time and effort needed for manual diagnostics.Additionally,the proposed system is integrated into a mobile application that utilizes the model as a backend to detect mango diseases instantly.展开更多
[Objectives]To preliminarily investigate the morphological identification and content determination of mango seeds utilized in Tibetan medicine,thereby providing foundational data to support the further refinement of ...[Objectives]To preliminarily investigate the morphological identification and content determination of mango seeds utilized in Tibetan medicine,thereby providing foundational data to support the further refinement of quality standards for mango seeds.[Methods]Powder microscopic examination,thin-layer chromatography(TLC),and high-performance liquid chromatography(HPLC)were employed to identify mango seeds sourced from various regions in Sichuan Province.In accordance with the 2020 edition of the Chinese Pharmacopoeia(Volume IV),the extract content,total ash,acid-insoluble ash,and moisture content of the mango seeds were quantitatively determined.[Results]The morphological and powder microscopic characteristics of mango seeds in Tibetan medicine were described in detail.The methanol extract was qualitatively identified using TLC,and the content of gallic acid in the medicinal samples was determined by HPLC.The total ash content of mango seeds ranged from 1.82%to 2.73%,while the acid-insoluble ash content varied between 0.08%and 0.55%.The extract content ranged from 12.16%to 24.06%,and the moisture content was between 6.75%and 8.98%.[Conclusions]Specifications for mango seeds in Tibetan medicine have been established,indicating that the total ash content should not exceed 4.0%,the acid-insoluble ash content should not exceed 2%,the content of dilute ethanol extract should be no less than 15.0%,the moisture content should not exceed 12.0%,and the gallic acid content should be at least 1%.These parameters serve as a foundation for the development of quality standards for mango seeds in Tibetan medicine.展开更多
[Objective] The genetic diversity of major mango cultivars in China was analyzed by using SSR markers, and their fingerprints were constructed so as to provide theoretical basis for germplasm innovation and breeding o...[Objective] The genetic diversity of major mango cultivars in China was analyzed by using SSR markers, and their fingerprints were constructed so as to provide theoretical basis for germplasm innovation and breeding of mango. [Method] With 115 pairs of SSR primers, genetic diversity analysis and cluster analysis were performed for 30 mango cultivars, among which the genetic relationships were analyzed. [Result] Total 64 pairs of polymorphic primers were screened out from the 115 pairs of primers, and total 343 bands were amplified from the 30 cultivars with 73.2% of polymorphic bands. On average, 3.9 allelic loci were detected for each pair of primers with genetic diversity index of 0.5, Shannon＇s diversity index of 1.00 and polymorphism information content of 0.49, indicating higher genetic diversity. The cluster analysis showed that the 30 major cultivars could be classified into four categories. The first category included 14 cultivars; the second category included 11 cultivars, most of which were introduced from abroad; the third category included 4 cultivars, Le., Miansan, Parayinda, Baiyu and Hongxiangya： the fourth category included only one cultivar Maqiesu.By using 7 pairs of SSR markers, i.e., M42, M49, M54, M55, M96, M99 and M103, digital fingerprints were constructed for the 30 mango cultivars. [Conclusion] The 30 mango cultivars present more complex genomic genetics and abundant genetic information, and they have higher genetic diversity.展开更多
The four treatments of spraying water the control, spraying before bagging, spraying after bagging, spraying without bagging were conducted by spraying 38% of the mixed suspension agent of imidacloprid and buprofezin,...The four treatments of spraying water the control, spraying before bagging, spraying after bagging, spraying without bagging were conducted by spraying 38% of the mixed suspension agent of imidacloprid and buprofezin, and high performance liquid chromatography （HPLC） method was used to test the imidacloprid and buprofezin residues on mango. The results showed that in 0.05-0.5 mg/kg adding level, the average recovery rate of imidacloprid and buprofezin was 82.6-93.8%, and 101.4-104.2%, respectively, and the relative deviation （RSD） was 1.9-4.5%, 9.3-15.6%, respectively. The minimum detectable amounts of both imidacloprid and buprofezin on mango were 0.01 mg/kg. The half-life periods of imidacloprid under the treatments of spraying before bagging, spraying after bagging and spraying without bagging were 16.74, 6.38, and 8.10 d, respectively, and the half-life periods of buprofezin under the treatments of spraying before bagging and spraying without bagging were 9.72 and 9.23 d, respectively. The residual of buprofezin was low in the treatment of spraying after bagging, and the amount detected in the 3rd day had already below the detectable limit. Bagging treatment reduced the digestion rate of 2 kinds of pesticides in mango, and imidacloprid had strong systemic in mango.展开更多
The South Indian mango industry is confronting severe threats due to various leaf diseases,which significantly impact the yield and quality of the crop.The management and prevention of these diseases depend mainly on ...The South Indian mango industry is confronting severe threats due to various leaf diseases,which significantly impact the yield and quality of the crop.The management and prevention of these diseases depend mainly on their early identification and accurate classification.The central objective of this research is to propose and examine the application of Deep Convolutional Neural Networks(CNNs)as a potential solution for the precise detection and categorization of diseases impacting the leaves of South Indian mango trees.Our study collected a rich dataset of leaf images representing different disease classes,including Anthracnose,Powdery Mildew,and Leaf Blight.To maintain image quality and consistency,pre-processing techniques were employed.We then used a customized deep CNN architecture to analyze the accuracy of South Indian mango leaf disease detection and classification.This proposed CNN model was trained and evaluated using our collected dataset.The customized deep CNN model demonstrated high performance in experiments,achieving an impressive 93.34%classification accuracy.This result outperformed traditional CNN algorithms,indicating the potential of customized deep CNN as a dependable tool for disease diagnosis.Our proposed model showed superior accuracy and computational efficiency performance compared to other basic CNN models.Our research underscores the practical benefits of customized deep CNNs for automated leaf disease detection and classification in South Indian mango trees.These findings support deep CNN as a valuable tool for real-time interventions and improving crop management practices,thereby mitigating the issues currently facing the South Indian mango industry.展开更多
With the developing of juices and beverages industry, the processors need to bring new nutritional fortified products to capture the market as per the demand of the consumer who needs healthier product. Thus, this stu...With the developing of juices and beverages industry, the processors need to bring new nutritional fortified products to capture the market as per the demand of the consumer who needs healthier product. Thus, this study aimed to the production of mango beverage and mango flavored beverage fortified with chia seeds;evaluate the chemical properties of chia seeds and study the effect of adding carboxymethyl cellulose, xanthan gum and low acyl gellan gum at the concentrations of 0.05% and 0.1% on the stability of suspension chia seeds in beverage during storage at ambient temperature for six months. Viscosity, color, zeta potential, suspension of seeds and organoleptic properties were evaluated. Results showed that chia seeds were rich in protein, omega-3 fatty acids and dietary fiber. The addition of 0.05% gellan gum led to improved appearance attributes and the highest stability of suspension of chia seeds for six months, and was the sample which scored highest for overall acceptability compared to the other samples of beverages. Results indicated that using chia seeds with the addition of 0.05% low acyl gellan gum led to the production of fortified mango beverage and mango flavored beverage with high stability for six months.展开更多
The mango varieties Eldon, Haden, Paheri, Tommy Atkins, Zill and the accession SBMA-1 are among the 45 varieties and 47 accessions of mango identified in Burkina Faso. The aim of this study was to determine the physic...The mango varieties Eldon, Haden, Paheri, Tommy Atkins, Zill and the accession SBMA-1 are among the 45 varieties and 47 accessions of mango identified in Burkina Faso. The aim of this study was to determine the physico-chemical and nutritional parameters of these mango varieties and accessions for better valorization. Physicochemical and nutritional parameters were determined using standard methods. Results showed that the SBMA-1 accession recorded the highest mass (638.10 ± 106.67 g), pulp content (85.06% ± 3.93%), pulp/core (10.54 ± 1.97) and pulp/peel (12.03 ± 2.15) ratios, pH (3.61 ± 0.61) and titratable acidity content (0.99% ± 0.04%). The Paheri variety had the lowest mass (120.43 ± 25.97 g), the lowest water content (74.31% ± 0.07%) and the highest pH (5.11 ± 0.03);on the other hand, it recorded the highest ESS content (26.47% ± 0.06%) and the highest ESS/AT ratio (133.10 ± 7.25). Haden had the highest values for L* (55.41 ± 0.06);a* (10.94 ± 0.35) and ΔΕ (69.00 ± 0.12). The Eldon variety recorded the highest levels of total sugars (28.08% ± 5.8%), total protein (2.69% ± 1.14%) and the highest energy value (126.88 ± 25.55 kcal/100 g). The highest total fat content (0.50% ± 0.03%) was found in the Tommy Atkins variety. The Zill variety recorded the highest total ash content (0.95% ± 0.25%). The results also showed that the peel and pulp of the Zill variety had the highest levels of total phenolic compounds, at 5798.99 ± 16.95 mg EAG/100 g and 30.41 ± 0.1 mg EAG/100 g respectively. The present study is a contribution to knowledge of the nutritional characteristics of mango varieties produced in Burkina Faso. This could help guide the choice of mango varieties for orchard renewal, processing and fresh consumption.展开更多
During the storage and transportation of the mango fruit, the major source of disease is anthracnose, caused by the fungus Colletotrichum gloeosporioides. The objective of this study is to find an appropriate method t...During the storage and transportation of the mango fruit, the major source of disease is anthracnose, caused by the fungus Colletotrichum gloeosporioides. The objective of this study is to find an appropriate method that not only reduces mango decay but also maintains its postharvest quality. The effects of chemicals, the use of the yeast species Metschnikowia pulcherrima and their combination on storage quality, focusing on the enzyme activity related to disease of Tainong mangos was studied. By immersing the mangoes in M. pulcherrima suspension(1.0×10~8 cfu mL^(–1)), salicylic acid(SA) solution(50 mg L^(–1)) or calcium chloride(CaCl_2) solution(1.0 g L^(–1)), the lesion expansion and decay of the mango fruit caused by C. gloeosporioides could be significantly delayed. These treatments also delayed the changes in quality traits(a~* value, firmness, contents of total soluble solids(TSS) and vitamin C(Vc), while the activities of anti-disease enzymes such as polyphenol oxidase(PPO), phenylalanine ammonia lyase(PAL), chitinase(CHT) and β-1,3-glucanase(GUN) were enhanced as compared to the control treatment. Furthermore, the combination of SA solution, CaCl_2 solution and M. pulcherrima suspension presented an additive effect, increasing the efficacy in controlling the disease and maintaining the storage quality of mango fruits. Taken together, our data suggest that the integration of chemical treatments combined with M. pulcherrima could be an alternative to the use of fungicides in postharvest treatment of the mango fruit, specifically for improving storage quality as well as the control of the anthracnose.展开更多
Aim： To investigate antioxidant potential of lupeol/mango pulp extract （MPE） in testosterone induced oxidative stress in prostate of male Swiss albino mice. Methods： Oral treatment of lupeol （1 mg/animal） and M...Aim： To investigate antioxidant potential of lupeol/mango pulp extract （MPE） in testosterone induced oxidative stress in prostate of male Swiss albino mice. Methods： Oral treatment of lupeol （1 mg/animal） and MPE （1 mL [20% w/v]/ animal） was given separately to animals along with subcutaneous injection of testosterone （5 mg/kg body weight） consecutively for 15 days. At the end of the study period, the prostate was dissected out for the determination of reactive oxygen species （ROS） levels, lipid peroxidation and antioxidant enzymes status （catalase, superoxide dismutase, glutathione reductase, glutathione-S-transferase）. Results： In testosterone treated animals, increased ROS resulted in depletion of antioxidant enzymes and increase in lipid peroxidation in mouse prostate. However, lupeol/MPE treatment resulted in a decrease in ROS levels with restoration in the levels of lipid peroxidation and antioxidant enzymes. Conclusion： The results of the present study demonstrate that lupeol/MPE are effective in combating oxidative stress-induced cellular injury of mouse prostate. Mango and its constituents, therefore, deserve study as a potential chemopreventive agent against prostate cancer. （Asian J Androl 2008 Mar; 10： 313-318）展开更多
Mango is a commercial crop on Hainan Island,China,that is cultivated to develop the tropical rural economy.The development of accurate and up-to-date maps of the spatial distribution of mango plantations is necessary ...Mango is a commercial crop on Hainan Island,China,that is cultivated to develop the tropical rural economy.The development of accurate and up-to-date maps of the spatial distribution of mango plantations is necessary for agricultural monitoring and decision management by the local government.Pixel-based and object-oriented image analysis methods for mapping mango plantations were compared using two machine learning algorithms(support vector machine(SVM)and Random Forest(RF))based on Chinese high-resolution Gaofen-1(GF-1)imagery in parts of Hainan Island.To assess the importance of different features on classification accuracy,a combined layer of four original bands,32 gray-level co-occurrence(GLCM)texture indices,and 10 vegetation indices were used as input features.Then five different sets of variables(5,10,20,and 30 input variables and all 46 variables)were classified with the two machine learning algorithms at object-based level.Results of the feature optimization suggested that homogeneity and variance were very important variables for distinguishing mango plantations patches.The object-based classifiers could significantly improve overall accuracy between 2–7%when compared to pixel-based classifiers.When there were 5 and 10 input variables,SVM showed higher classification accuracy than RF,and when the input variables exceeded 20,RF showed better performances.After the accuracy achieved saturation points,there were only slightly classification accuracy improvements along with the numbers of feature increases for both of SVM and RF classifiers.The results indicated that GF-1 imagery can be successfully applied to mango plantation mapping in tropical regions,which would provide a useful framework for accurate tropical agriculture land management.展开更多
Drilling muds with less environmental impact are highly desired over conventional diesel-based mud systems,especially in light of the emerging strict environmental laws.In this article,a novel oil-in-water(O/W)emulsio...Drilling muds with less environmental impact are highly desired over conventional diesel-based mud systems,especially in light of the emerging strict environmental laws.In this article,a novel oil-in-water(O/W)emulsion drilling fluid formulated with a methyl ester extracted from Indian mango seed oil was evaluated.The effect of the weight percent of different constituents of the emulsion/suspension including the oil phase,bentonite,and polyanionic cellulose polymer on the rheology and the fluid loss was examined.The methyl ester oil phase/mud system displayed superior physical,chemical,rheological and filtration properties relative to the diesel and the mango seed oil.Eco-toxicity of the methyl ester and diesel(O/W)emulsion mud systems was assessed using the acute lethal concentration test.The Indian mango methyl ester(O/W)emulsion mud displayed much less impact on fish population.Flow characteristics collected from the flow model at 85°C suggested excellent shear thinning behavior of the Indian mango methyl ester(IMME)(O/W)emulsion mud.Moreover,the IMME(O/W)emulsion displayed strong pseudoplastic behavior,an attractive feature in a drilling mud,with increasing clay content and polymer concentration.The methyl ester mud was thermally stable over a wide range of the constituent concentrations.Furthermore,a particle size analysis revealed that engineered drilling muds targeting suspension of particles with certain size range can be formulated by changing the volume fraction of the methyl ester in the mud system.展开更多
A hybrid Ft population was obtained by crossing between mango cultivars ＇ Jinhuang＇ and ＇ Guifei＇. Among the hybrid population, 98 F1 plants were selected as the mapping population. The molecular genetic map of ma...A hybrid Ft population was obtained by crossing between mango cultivars ＇ Jinhuang＇ and ＇ Guifei＇. Among the hybrid population, 98 F1 plants were selected as the mapping population. The molecular genetic map of mango was constructed by linkage analysis by SRAP, AFLP and ISSR markers using Joinmap4. 0 software. The genetic linkage map consisted of 33 linkage groups, with a total genetic distance of 1 561.1 cM. Moreover, the genetic linkage map involved 245 polymorphic markers, including 149 SRAP markers, 90 AFLP markers and 6 ISSR markers, with an average genetic distance of 6.37 cM. This study laid a founda- tion for further investigation of the important agronomic traits of mango.展开更多
Mangoes often suffer from low temperature-induced chilling injury (CI) during postharvest cold storage.Therefore,advanced techniques are crucial and in high demand to solve the chilling stress of mango fruit for a hig...Mangoes often suffer from low temperature-induced chilling injury (CI) during postharvest cold storage.Therefore,advanced techniques are crucial and in high demand to solve the chilling stress of mango fruit for a higher value.This study addresses chilling stress modulation by investigating the effects of melatonin treatment on CI,proline metabolism,and related gene expressions of ‘Keitt’ mango during cold storage after dipped in 0 (control),0.1 (MT1),and 0.2 mmol L^(-1)(MT2) melatonin solution for 30 min.The results revealed that melatonin treatment in MT1 significantly reduced CI development and increased proline content in mango fruit during cold storage compared to the control.These changes were along with increases in the activity of critical enzymes as well as the expression of encoding genes involved in proline biosynthesis,such as pyrroline-5-carboxylate synthetase (P5CS),pyrroline-5-carboxylate reductase (P5CR),ornithine D-aminotransferase (OAT),P5CS2,P5CR2,and OAT3.Additionally,proline dehydrogenase (PDH) activity and the expression of the PDH3 gene associated with proline dehydrogenation were lower in MT1-treated mangoes than the controlled group.Thus,melatonin treatment has regulated proline metabolism resulting in the accumulation of proline,subsequently contributing to enhancing the chilling tolerance of‘Keitt’mango fruit.展开更多
Under off-season production mode, change laws of nutritive materials in leaves of fruiting mother branches of mango in flowering process induced by dif- ferent agents were investigated. The results showed that the flo...Under off-season production mode, change laws of nutritive materials in leaves of fruiting mother branches of mango in flowering process induced by dif- ferent agents were investigated. The results showed that the flowering time of manga trees in the potassium nitrate treatment was earlier than the ethephon treatment by 7 d, and changes trends of materials in leaves of the potassium nitrate and ethephon treatments were substantially the same. The nutritive materials in leaves showed trends of increasing at first and decreasing then. In early flower bud differentiation stage, soluble sugar and starch in leaves increased rapidly, and content of soluble protein also increased rapidly and showed its their peak values, thereby providing energy substances and structural substances demanded by flower bud formation. With flower bud differentiation going on, soluble sugar, starch and soluble protein decreased gradually. It was indicated that the accumulation of soluble sugar, starch and soluble protein is beneficial to flower bud differentiation.展开更多
Arginine decarboxylase （ADC） plays an important role in polyamine biosynthesis in plants. In order to study the structure and expression ofADC gene in mango, an arginine decarboxylase gene ADC, named as MiADC, was c...Arginine decarboxylase （ADC） plays an important role in polyamine biosynthesis in plants. In order to study the structure and expression ofADC gene in mango, an arginine decarboxylase gene ADC, named as MiADC, was cloned and isolated from the tender leaves of mango using RACE technology, and the expression of MiADC was analyzed by qRT-PCR based on the cDNA sequence of MiADC gene in this study. The results showed that the full length of MiADC was 3 089 bp containing a 575 bp 5＇-UTR, a 2 178 bp ORF with file initial codon and the terminal codon, a 311 bp 3＇-UTR and a 25 bp poly （A）; and file MiADC had no intron. The homologous analysis in the NCBI demonstrated that the sequence of MiADC had the highest similarity at 78% to Poncirus trifoliata arginine decarboxylase gene （HQ008237.1）, and the prediction protein also had the highest homology at 78% level with Poncirus trifoliata arginine decarboxylase （AEE99192.1） . Phylogenetic tree analysis revealed that the MiADC in mango was clustered in the same clade as the arginine decarboxylase from Poncirus trifoliate. Expression analysis showed that the MiADC gene was expressed in roots, stems, leaves, flowers, fruitlet, ripe fruit, and the transcriptional level of the cloned gene was affected obviously by low temperature, which proved that the MiADC gene may be a low temperature stress responding gene.展开更多
Due to the high demand for mango and being the king of all fruits,it is the need of the hour to curb its diseases to fetch high returns.Automatic leaf disease segmentation and identification are still a challenge due ...Due to the high demand for mango and being the king of all fruits,it is the need of the hour to curb its diseases to fetch high returns.Automatic leaf disease segmentation and identification are still a challenge due to variations in symptoms.Accurate segmentation of the disease is the key prerequisite for any computer-aided system to recognize the diseases,i.e.,Anthracnose,apicalnecrosis,etc.,of a mango plant leaf.To solve this issue,we proposed a CNN based Fully-convolutional-network(FrCNnet)model for the segmentation of the diseased part of the mango leaf.The proposed FrCNnet directly learns the features of each pixel of the input data after applying some preprocessing techniques.We evaluated the proposed FrCNnet on the real-time dataset provided by the mango research institute,Multan,Pakistan.To evaluate the proposed model results,we compared the segmentation performance with the available state-of-the-art models,i.e.,Vgg16,Vgg-19,and Unet.Furthermore,the proposed model’s segmentation accuracy is 99.2%with a false negative rate(FNR)of 0.8%,which is much higher than the other models.We have concluded that by using a FrCNnet,the input image could learn better features that are more prominent and much specific,resulting in an improved and better segmentation performance and diseases’identification.Accordingly,an automated approach helps pathologists and mango growers detect and identify those diseases.展开更多
Physicochemical characteristics of four varieties of mango (Julie, Bassignac, Green and Moussache) from Martinique (F.W.I.) were examined at three ripening stages. All ripening protocols studied showed an evolution in...Physicochemical characteristics of four varieties of mango (Julie, Bassignac, Green and Moussache) from Martinique (F.W.I.) were examined at three ripening stages. All ripening protocols studied showed an evolution in parameters between the harvesting and the expandable stage. Fruit and pulp firmness, starch and vitamin C contents decreased whereas pulp pH and carotenoids content increased. Only fruit size and polyphenols content were the same during the ripening. Bassignac and Julie varieties were richer in vitamin C, polyphenols and carotenoids. Moussache variety was the most energetic with important carbohydrates content. The Green variety differed significantly with a light-coloured pulp, low fruity odour and mango flavour, and a specific slightly sweet, very sour, bitter and astringent taste. Moussache and Bassignac varieties had a very sweet taste unlike the Julie variety with a specific slightly sweeter taste. Different processing methods were tested for each variety. Mangoes technological ability processing had been validated.展开更多
基金funded by Princess Nourah bint Abdulrahman University and Researchers Supporting Project number(PNURSP2025R346)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Mango farming significantly contributes to the economy,particularly in developing countries.However,mango trees are susceptible to various diseases caused by fungi,viruses,and bacteria,and diagnosing these diseases at an early stage is crucial to prevent their spread,which can lead to substantial losses.The development of deep learning models for detecting crop diseases is an active area of research in smart agriculture.This study focuses on mango plant diseases and employs the ConvNeXt and Vision Transformer(ViT)architectures.Two datasets were used.The first,MangoLeafBD,contains data for mango leaf diseases such as anthracnose,bacterial canker,gall midge,and powdery mildew.The second,SenMangoFruitDDS,includes data for mango fruit diseases such as Alternaria,Anthracnose,Black Mould Rot,Healthy,and Stem and Rot.Both datasets were obtained from publicly available sources.The proposed model achieved an accuracy of 99.87%on the MangoLeafBD dataset and 98.40%on the MangoFruitDDS dataset.The results demonstrate that ConvNeXt and ViT models can effectively diagnose mango diseases,enabling farmers to identify these conditions more efficiently.The system contributes to increased mango production and minimizes economic losses by reducing the time and effort needed for manual diagnostics.Additionally,the proposed system is integrated into a mobile application that utilizes the model as a backend to detect mango diseases instantly.
基金Supported by Key Research and Development Program Project of Sichuan Province(2024YFFK0190)Special Fund of Fundamental Research Funds for the Central Universities(ZYN2025257).
文摘[Objectives]To preliminarily investigate the morphological identification and content determination of mango seeds utilized in Tibetan medicine,thereby providing foundational data to support the further refinement of quality standards for mango seeds.[Methods]Powder microscopic examination,thin-layer chromatography(TLC),and high-performance liquid chromatography(HPLC)were employed to identify mango seeds sourced from various regions in Sichuan Province.In accordance with the 2020 edition of the Chinese Pharmacopoeia(Volume IV),the extract content,total ash,acid-insoluble ash,and moisture content of the mango seeds were quantitatively determined.[Results]The morphological and powder microscopic characteristics of mango seeds in Tibetan medicine were described in detail.The methanol extract was qualitatively identified using TLC,and the content of gallic acid in the medicinal samples was determined by HPLC.The total ash content of mango seeds ranged from 1.82%to 2.73%,while the acid-insoluble ash content varied between 0.08%and 0.55%.The extract content ranged from 12.16%to 24.06%,and the moisture content was between 6.75%and 8.98%.[Conclusions]Specifications for mango seeds in Tibetan medicine have been established,indicating that the total ash content should not exceed 4.0%,the acid-insoluble ash content should not exceed 2%,the content of dilute ethanol extract should be no less than 15.0%,the moisture content should not exceed 12.0%,and the gallic acid content should be at least 1%.These parameters serve as a foundation for the development of quality standards for mango seeds in Tibetan medicine.
基金Supported by Natural Science Foundation of Hainan Province(34128)Fundamental Scientific Research Funds of Chinese Academy of Tropical Agricultural Sciences(1630032013031)~~
文摘[Objective] The genetic diversity of major mango cultivars in China was analyzed by using SSR markers, and their fingerprints were constructed so as to provide theoretical basis for germplasm innovation and breeding of mango. [Method] With 115 pairs of SSR primers, genetic diversity analysis and cluster analysis were performed for 30 mango cultivars, among which the genetic relationships were analyzed. [Result] Total 64 pairs of polymorphic primers were screened out from the 115 pairs of primers, and total 343 bands were amplified from the 30 cultivars with 73.2% of polymorphic bands. On average, 3.9 allelic loci were detected for each pair of primers with genetic diversity index of 0.5, Shannon＇s diversity index of 1.00 and polymorphism information content of 0.49, indicating higher genetic diversity. The cluster analysis showed that the 30 major cultivars could be classified into four categories. The first category included 14 cultivars; the second category included 11 cultivars, most of which were introduced from abroad; the third category included 4 cultivars, Le., Miansan, Parayinda, Baiyu and Hongxiangya： the fourth category included only one cultivar Maqiesu.By using 7 pairs of SSR markers, i.e., M42, M49, M54, M55, M96, M99 and M103, digital fingerprints were constructed for the 30 mango cultivars. [Conclusion] The 30 mango cultivars present more complex genomic genetics and abundant genetic information, and they have higher genetic diversity.
基金Supported by the Special Fund for Agro-scientific Research in Public Interest(201203092-4-2)~~
文摘The four treatments of spraying water the control, spraying before bagging, spraying after bagging, spraying without bagging were conducted by spraying 38% of the mixed suspension agent of imidacloprid and buprofezin, and high performance liquid chromatography （HPLC） method was used to test the imidacloprid and buprofezin residues on mango. The results showed that in 0.05-0.5 mg/kg adding level, the average recovery rate of imidacloprid and buprofezin was 82.6-93.8%, and 101.4-104.2%, respectively, and the relative deviation （RSD） was 1.9-4.5%, 9.3-15.6%, respectively. The minimum detectable amounts of both imidacloprid and buprofezin on mango were 0.01 mg/kg. The half-life periods of imidacloprid under the treatments of spraying before bagging, spraying after bagging and spraying without bagging were 16.74, 6.38, and 8.10 d, respectively, and the half-life periods of buprofezin under the treatments of spraying before bagging and spraying without bagging were 9.72 and 9.23 d, respectively. The residual of buprofezin was low in the treatment of spraying after bagging, and the amount detected in the 3rd day had already below the detectable limit. Bagging treatment reduced the digestion rate of 2 kinds of pesticides in mango, and imidacloprid had strong systemic in mango.
文摘The South Indian mango industry is confronting severe threats due to various leaf diseases,which significantly impact the yield and quality of the crop.The management and prevention of these diseases depend mainly on their early identification and accurate classification.The central objective of this research is to propose and examine the application of Deep Convolutional Neural Networks(CNNs)as a potential solution for the precise detection and categorization of diseases impacting the leaves of South Indian mango trees.Our study collected a rich dataset of leaf images representing different disease classes,including Anthracnose,Powdery Mildew,and Leaf Blight.To maintain image quality and consistency,pre-processing techniques were employed.We then used a customized deep CNN architecture to analyze the accuracy of South Indian mango leaf disease detection and classification.This proposed CNN model was trained and evaluated using our collected dataset.The customized deep CNN model demonstrated high performance in experiments,achieving an impressive 93.34%classification accuracy.This result outperformed traditional CNN algorithms,indicating the potential of customized deep CNN as a dependable tool for disease diagnosis.Our proposed model showed superior accuracy and computational efficiency performance compared to other basic CNN models.Our research underscores the practical benefits of customized deep CNNs for automated leaf disease detection and classification in South Indian mango trees.These findings support deep CNN as a valuable tool for real-time interventions and improving crop management practices,thereby mitigating the issues currently facing the South Indian mango industry.
文摘With the developing of juices and beverages industry, the processors need to bring new nutritional fortified products to capture the market as per the demand of the consumer who needs healthier product. Thus, this study aimed to the production of mango beverage and mango flavored beverage fortified with chia seeds;evaluate the chemical properties of chia seeds and study the effect of adding carboxymethyl cellulose, xanthan gum and low acyl gellan gum at the concentrations of 0.05% and 0.1% on the stability of suspension chia seeds in beverage during storage at ambient temperature for six months. Viscosity, color, zeta potential, suspension of seeds and organoleptic properties were evaluated. Results showed that chia seeds were rich in protein, omega-3 fatty acids and dietary fiber. The addition of 0.05% gellan gum led to improved appearance attributes and the highest stability of suspension of chia seeds for six months, and was the sample which scored highest for overall acceptability compared to the other samples of beverages. Results indicated that using chia seeds with the addition of 0.05% low acyl gellan gum led to the production of fortified mango beverage and mango flavored beverage with high stability for six months.
文摘The mango varieties Eldon, Haden, Paheri, Tommy Atkins, Zill and the accession SBMA-1 are among the 45 varieties and 47 accessions of mango identified in Burkina Faso. The aim of this study was to determine the physico-chemical and nutritional parameters of these mango varieties and accessions for better valorization. Physicochemical and nutritional parameters were determined using standard methods. Results showed that the SBMA-1 accession recorded the highest mass (638.10 ± 106.67 g), pulp content (85.06% ± 3.93%), pulp/core (10.54 ± 1.97) and pulp/peel (12.03 ± 2.15) ratios, pH (3.61 ± 0.61) and titratable acidity content (0.99% ± 0.04%). The Paheri variety had the lowest mass (120.43 ± 25.97 g), the lowest water content (74.31% ± 0.07%) and the highest pH (5.11 ± 0.03);on the other hand, it recorded the highest ESS content (26.47% ± 0.06%) and the highest ESS/AT ratio (133.10 ± 7.25). Haden had the highest values for L* (55.41 ± 0.06);a* (10.94 ± 0.35) and ΔΕ (69.00 ± 0.12). The Eldon variety recorded the highest levels of total sugars (28.08% ± 5.8%), total protein (2.69% ± 1.14%) and the highest energy value (126.88 ± 25.55 kcal/100 g). The highest total fat content (0.50% ± 0.03%) was found in the Tommy Atkins variety. The Zill variety recorded the highest total ash content (0.95% ± 0.25%). The results also showed that the peel and pulp of the Zill variety had the highest levels of total phenolic compounds, at 5798.99 ± 16.95 mg EAG/100 g and 30.41 ± 0.1 mg EAG/100 g respectively. The present study is a contribution to knowledge of the nutritional characteristics of mango varieties produced in Burkina Faso. This could help guide the choice of mango varieties for orchard renewal, processing and fresh consumption.
基金supported by the National Natural Science Foundation of China(31660587 and 31660586)
文摘During the storage and transportation of the mango fruit, the major source of disease is anthracnose, caused by the fungus Colletotrichum gloeosporioides. The objective of this study is to find an appropriate method that not only reduces mango decay but also maintains its postharvest quality. The effects of chemicals, the use of the yeast species Metschnikowia pulcherrima and their combination on storage quality, focusing on the enzyme activity related to disease of Tainong mangos was studied. By immersing the mangoes in M. pulcherrima suspension(1.0×10~8 cfu mL^(–1)), salicylic acid(SA) solution(50 mg L^(–1)) or calcium chloride(CaCl_2) solution(1.0 g L^(–1)), the lesion expansion and decay of the mango fruit caused by C. gloeosporioides could be significantly delayed. These treatments also delayed the changes in quality traits(a~* value, firmness, contents of total soluble solids(TSS) and vitamin C(Vc), while the activities of anti-disease enzymes such as polyphenol oxidase(PPO), phenylalanine ammonia lyase(PAL), chitinase(CHT) and β-1,3-glucanase(GUN) were enhanced as compared to the control treatment. Furthermore, the combination of SA solution, CaCl_2 solution and M. pulcherrima suspension presented an additive effect, increasing the efficacy in controlling the disease and maintaining the storage quality of mango fruits. Taken together, our data suggest that the integration of chemical treatments combined with M. pulcherrima could be an alternative to the use of fungicides in postharvest treatment of the mango fruit, specifically for improving storage quality as well as the control of the anthracnose.
文摘Aim： To investigate antioxidant potential of lupeol/mango pulp extract （MPE） in testosterone induced oxidative stress in prostate of male Swiss albino mice. Methods： Oral treatment of lupeol （1 mg/animal） and MPE （1 mL [20% w/v]/ animal） was given separately to animals along with subcutaneous injection of testosterone （5 mg/kg body weight） consecutively for 15 days. At the end of the study period, the prostate was dissected out for the determination of reactive oxygen species （ROS） levels, lipid peroxidation and antioxidant enzymes status （catalase, superoxide dismutase, glutathione reductase, glutathione-S-transferase）. Results： In testosterone treated animals, increased ROS resulted in depletion of antioxidant enzymes and increase in lipid peroxidation in mouse prostate. However, lupeol/MPE treatment resulted in a decrease in ROS levels with restoration in the levels of lipid peroxidation and antioxidant enzymes. Conclusion： The results of the present study demonstrate that lupeol/MPE are effective in combating oxidative stress-induced cellular injury of mouse prostate. Mango and its constituents, therefore, deserve study as a potential chemopreventive agent against prostate cancer. （Asian J Androl 2008 Mar; 10： 313-318）
基金This research was funded by the Opening Foundation Program of Land Use Key Laboratory of the Ministry of Natural Resources of China,the Hainan Provincial Key Laboratory of Practical Research on Tropical Crops Information Technology,China(RDZWKFJJ2019001)the Central Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences(1630072020006,1630072017004 and 1630072019001)+2 种基金the Natural Science Foundation of Hainan,China(619MS100)the National Natural Science Foundation of China(31601211)the Demonstration and Pilot Projects for Comprehensive Rural Reform,China(XXSNZG19-02).
文摘Mango is a commercial crop on Hainan Island,China,that is cultivated to develop the tropical rural economy.The development of accurate and up-to-date maps of the spatial distribution of mango plantations is necessary for agricultural monitoring and decision management by the local government.Pixel-based and object-oriented image analysis methods for mapping mango plantations were compared using two machine learning algorithms(support vector machine(SVM)and Random Forest(RF))based on Chinese high-resolution Gaofen-1(GF-1)imagery in parts of Hainan Island.To assess the importance of different features on classification accuracy,a combined layer of four original bands,32 gray-level co-occurrence(GLCM)texture indices,and 10 vegetation indices were used as input features.Then five different sets of variables(5,10,20,and 30 input variables and all 46 variables)were classified with the two machine learning algorithms at object-based level.Results of the feature optimization suggested that homogeneity and variance were very important variables for distinguishing mango plantations patches.The object-based classifiers could significantly improve overall accuracy between 2–7%when compared to pixel-based classifiers.When there were 5 and 10 input variables,SVM showed higher classification accuracy than RF,and when the input variables exceeded 20,RF showed better performances.After the accuracy achieved saturation points,there were only slightly classification accuracy improvements along with the numbers of feature increases for both of SVM and RF classifiers.The results indicated that GF-1 imagery can be successfully applied to mango plantation mapping in tropical regions,which would provide a useful framework for accurate tropical agriculture land management.
基金acknowledge Schulich School of Engineering,The University of Calgary,for their support.
文摘Drilling muds with less environmental impact are highly desired over conventional diesel-based mud systems,especially in light of the emerging strict environmental laws.In this article,a novel oil-in-water(O/W)emulsion drilling fluid formulated with a methyl ester extracted from Indian mango seed oil was evaluated.The effect of the weight percent of different constituents of the emulsion/suspension including the oil phase,bentonite,and polyanionic cellulose polymer on the rheology and the fluid loss was examined.The methyl ester oil phase/mud system displayed superior physical,chemical,rheological and filtration properties relative to the diesel and the mango seed oil.Eco-toxicity of the methyl ester and diesel(O/W)emulsion mud systems was assessed using the acute lethal concentration test.The Indian mango methyl ester(O/W)emulsion mud displayed much less impact on fish population.Flow characteristics collected from the flow model at 85°C suggested excellent shear thinning behavior of the Indian mango methyl ester(IMME)(O/W)emulsion mud.Moreover,the IMME(O/W)emulsion displayed strong pseudoplastic behavior,an attractive feature in a drilling mud,with increasing clay content and polymer concentration.The methyl ester mud was thermally stable over a wide range of the constituent concentrations.Furthermore,a particle size analysis revealed that engineered drilling muds targeting suspension of particles with certain size range can be formulated by changing the volume fraction of the methyl ester in the mud system.
基金Supported by National Key Technology R&D Program"Breeding of New Varieties of Mango and Litchi"(2013BAD02B02-5)
文摘A hybrid Ft population was obtained by crossing between mango cultivars ＇ Jinhuang＇ and ＇ Guifei＇. Among the hybrid population, 98 F1 plants were selected as the mapping population. The molecular genetic map of mango was constructed by linkage analysis by SRAP, AFLP and ISSR markers using Joinmap4. 0 software. The genetic linkage map consisted of 33 linkage groups, with a total genetic distance of 1 561.1 cM. Moreover, the genetic linkage map involved 245 polymorphic markers, including 149 SRAP markers, 90 AFLP markers and 6 ISSR markers, with an average genetic distance of 6.37 cM. This study laid a founda- tion for further investigation of the important agronomic traits of mango.
基金financially supported by the National Natural Science Foundation of China(32072280)。
文摘Mangoes often suffer from low temperature-induced chilling injury (CI) during postharvest cold storage.Therefore,advanced techniques are crucial and in high demand to solve the chilling stress of mango fruit for a higher value.This study addresses chilling stress modulation by investigating the effects of melatonin treatment on CI,proline metabolism,and related gene expressions of ‘Keitt’ mango during cold storage after dipped in 0 (control),0.1 (MT1),and 0.2 mmol L^(-1)(MT2) melatonin solution for 30 min.The results revealed that melatonin treatment in MT1 significantly reduced CI development and increased proline content in mango fruit during cold storage compared to the control.These changes were along with increases in the activity of critical enzymes as well as the expression of encoding genes involved in proline biosynthesis,such as pyrroline-5-carboxylate synthetase (P5CS),pyrroline-5-carboxylate reductase (P5CR),ornithine D-aminotransferase (OAT),P5CS2,P5CR2,and OAT3.Additionally,proline dehydrogenase (PDH) activity and the expression of the PDH3 gene associated with proline dehydrogenation were lower in MT1-treated mangoes than the controlled group.Thus,melatonin treatment has regulated proline metabolism resulting in the accumulation of proline,subsequently contributing to enhancing the chilling tolerance of‘Keitt’mango fruit.
基金Supported by National Nonprofit Institute Research Grant of CATAS-TCGRI(1630032013010)Special Fund for Agro-scientific Research in the Public Interest(201203092)
文摘Under off-season production mode, change laws of nutritive materials in leaves of fruiting mother branches of mango in flowering process induced by dif- ferent agents were investigated. The results showed that the flowering time of manga trees in the potassium nitrate treatment was earlier than the ethephon treatment by 7 d, and changes trends of materials in leaves of the potassium nitrate and ethephon treatments were substantially the same. The nutritive materials in leaves showed trends of increasing at first and decreasing then. In early flower bud differentiation stage, soluble sugar and starch in leaves increased rapidly, and content of soluble protein also increased rapidly and showed its their peak values, thereby providing energy substances and structural substances demanded by flower bud formation. With flower bud differentiation going on, soluble sugar, starch and soluble protein decreased gradually. It was indicated that the accumulation of soluble sugar, starch and soluble protein is beneficial to flower bud differentiation.
文摘Arginine decarboxylase （ADC） plays an important role in polyamine biosynthesis in plants. In order to study the structure and expression ofADC gene in mango, an arginine decarboxylase gene ADC, named as MiADC, was cloned and isolated from the tender leaves of mango using RACE technology, and the expression of MiADC was analyzed by qRT-PCR based on the cDNA sequence of MiADC gene in this study. The results showed that the full length of MiADC was 3 089 bp containing a 575 bp 5＇-UTR, a 2 178 bp ORF with file initial codon and the terminal codon, a 311 bp 3＇-UTR and a 25 bp poly （A）; and file MiADC had no intron. The homologous analysis in the NCBI demonstrated that the sequence of MiADC had the highest similarity at 78% to Poncirus trifoliata arginine decarboxylase gene （HQ008237.1）, and the prediction protein also had the highest homology at 78% level with Poncirus trifoliata arginine decarboxylase （AEE99192.1） . Phylogenetic tree analysis revealed that the MiADC in mango was clustered in the same clade as the arginine decarboxylase from Poncirus trifoliate. Expression analysis showed that the MiADC gene was expressed in roots, stems, leaves, flowers, fruitlet, ripe fruit, and the transcriptional level of the cloned gene was affected obviously by low temperature, which proved that the MiADC gene may be a low temperature stress responding gene.
文摘Due to the high demand for mango and being the king of all fruits,it is the need of the hour to curb its diseases to fetch high returns.Automatic leaf disease segmentation and identification are still a challenge due to variations in symptoms.Accurate segmentation of the disease is the key prerequisite for any computer-aided system to recognize the diseases,i.e.,Anthracnose,apicalnecrosis,etc.,of a mango plant leaf.To solve this issue,we proposed a CNN based Fully-convolutional-network(FrCNnet)model for the segmentation of the diseased part of the mango leaf.The proposed FrCNnet directly learns the features of each pixel of the input data after applying some preprocessing techniques.We evaluated the proposed FrCNnet on the real-time dataset provided by the mango research institute,Multan,Pakistan.To evaluate the proposed model results,we compared the segmentation performance with the available state-of-the-art models,i.e.,Vgg16,Vgg-19,and Unet.Furthermore,the proposed model’s segmentation accuracy is 99.2%with a false negative rate(FNR)of 0.8%,which is much higher than the other models.We have concluded that by using a FrCNnet,the input image could learn better features that are more prominent and much specific,resulting in an improved and better segmentation performance and diseases’identification.Accordingly,an automated approach helps pathologists and mango growers detect and identify those diseases.
文摘Physicochemical characteristics of four varieties of mango (Julie, Bassignac, Green and Moussache) from Martinique (F.W.I.) were examined at three ripening stages. All ripening protocols studied showed an evolution in parameters between the harvesting and the expandable stage. Fruit and pulp firmness, starch and vitamin C contents decreased whereas pulp pH and carotenoids content increased. Only fruit size and polyphenols content were the same during the ripening. Bassignac and Julie varieties were richer in vitamin C, polyphenols and carotenoids. Moussache variety was the most energetic with important carbohydrates content. The Green variety differed significantly with a light-coloured pulp, low fruity odour and mango flavour, and a specific slightly sweet, very sour, bitter and astringent taste. Moussache and Bassignac varieties had a very sweet taste unlike the Julie variety with a specific slightly sweeter taste. Different processing methods were tested for each variety. Mangoes technological ability processing had been validated.
