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
In order to gain a deeper understanding of the impact of climatic conditions on mango cultivation in Jingdong County,according to the requirements for meteorological conditions from the biological characteristics of m...In order to gain a deeper understanding of the impact of climatic conditions on mango cultivation in Jingdong County,according to the requirements for meteorological conditions from the biological characteristics of mango trees,the climatic conditions of Jingdong station and the main mango production areas in Yunnan Province were compared,and the climatic characteristics in the high-and low-yield year were analyzed.The results show that in the middle and low altitude areas of Jingdong County,winter was dry and relatively warm,and summer was not extremely hot(the average temperature in the hottest month 23.8℃);the dry and wet seasons were distinct,and rainy and hot weather occurred in the same season(from June to September);there was sufficient sunshine in the winter half year.The main climatic advantages for mango cultivation in Jingdong County are manifested as follows:the overwintering temperature and light conditions were relatively favorable(the average temperature in the coldest month was 11.3℃,and average sunshine duration in the three months of winter was 6.3 h/d);the annual total heat was moderate,and≥10℃accumulated temperature was 6600℃·d;the temperature effectiveness during the main growing season of mangoes was relatively higher;the sunshine duration and climate humidity during the flower bud differentiation period were moderate(sunshine duration was 6.4 h/d,and monthly precipitation was 19.2 mm);the rainfall was abundant during the maturation period of fruits.The insufficient light and heat intensity during the maturation period of fruits(average sunshine duration was 4.4 h/d,and average temperature was 23.2℃from June to September),the susceptibility to the influence of spring drought during the young fruit stage of mangoes(precipitation was 141 mm from March to May),and relatively lower temperature during the flowering and pollination period in some years jointly constituted the main climatic constraints on local mango yield.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
Fruit fly species＇ responses to lures are critically important, especially when a single lure might be recommended for the purpose of trapping multiple fruit fly species in commercial fruit orchards. Fruit industries...Fruit fly species＇ responses to lures are critically important, especially when a single lure might be recommended for the purpose of trapping multiple fruit fly species in commercial fruit orchards. Fruit industries are facing threats from the recent invasion of the oriental fruit fly Bactrocera dorsalis （Hendel） into novel areas in South Africa. The objective of this study was to test the relative efficiency of 13 different trapping systems for fruit fly species in mango orchards in South Africa. Evaluation of the different monitoring systems was conducted during the 2013-2014 mango season in the Vhembe district municipality of Limpopo, South Africa. Four orchards, where Tommy Atkins was cultivated, were used to compare the efficacy of the trapping systems. Trapping data （N = 48 observation incidences per trapping system） were analyzed using a non-parametric ANOVA. Pronounced variation in species attractiveness across the trapping systems was found. The enriched ginger oil （EGO） PherolureTM captured 33.77% of all the Ceratitis spp., while the Invader-lureTM captured 36.47% of the total number of B. dorsalis trapped. Torula yeast pellets are not recommended for fruit fly trapping due to the relative low trap catch numbers and high non-target catches. These results are important and significant for on-farm monitoring strategies, as well as for invasion monitoring systems currently in place to detect the distribution ofB. dorsalis in South Africa.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 the Meteorological Science and Technology Innovation Project of Pu'er Meteorological Bureau(PZ202416).
文摘In order to gain a deeper understanding of the impact of climatic conditions on mango cultivation in Jingdong County,according to the requirements for meteorological conditions from the biological characteristics of mango trees,the climatic conditions of Jingdong station and the main mango production areas in Yunnan Province were compared,and the climatic characteristics in the high-and low-yield year were analyzed.The results show that in the middle and low altitude areas of Jingdong County,winter was dry and relatively warm,and summer was not extremely hot(the average temperature in the hottest month 23.8℃);the dry and wet seasons were distinct,and rainy and hot weather occurred in the same season(from June to September);there was sufficient sunshine in the winter half year.The main climatic advantages for mango cultivation in Jingdong County are manifested as follows:the overwintering temperature and light conditions were relatively favorable(the average temperature in the coldest month was 11.3℃,and average sunshine duration in the three months of winter was 6.3 h/d);the annual total heat was moderate,and≥10℃accumulated temperature was 6600℃·d;the temperature effectiveness during the main growing season of mangoes was relatively higher;the sunshine duration and climate humidity during the flower bud differentiation period were moderate(sunshine duration was 6.4 h/d,and monthly precipitation was 19.2 mm);the rainfall was abundant during the maturation period of fruits.The insufficient light and heat intensity during the maturation period of fruits(average sunshine duration was 4.4 h/d,and average temperature was 23.2℃from June to September),the susceptibility to the influence of spring drought during the young fruit stage of mangoes(precipitation was 141 mm from March to May),and relatively lower temperature during the flowering and pollination period in some years jointly constituted the main climatic constraints on local mango yield.
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Fruit fly species＇ responses to lures are critically important, especially when a single lure might be recommended for the purpose of trapping multiple fruit fly species in commercial fruit orchards. Fruit industries are facing threats from the recent invasion of the oriental fruit fly Bactrocera dorsalis （Hendel） into novel areas in South Africa. The objective of this study was to test the relative efficiency of 13 different trapping systems for fruit fly species in mango orchards in South Africa. Evaluation of the different monitoring systems was conducted during the 2013-2014 mango season in the Vhembe district municipality of Limpopo, South Africa. Four orchards, where Tommy Atkins was cultivated, were used to compare the efficacy of the trapping systems. Trapping data （N = 48 observation incidences per trapping system） were analyzed using a non-parametric ANOVA. Pronounced variation in species attractiveness across the trapping systems was found. The enriched ginger oil （EGO） PherolureTM captured 33.77% of all the Ceratitis spp., while the Invader-lureTM captured 36.47% of the total number of B. dorsalis trapped. Torula yeast pellets are not recommended for fruit fly trapping due to the relative low trap catch numbers and high non-target catches. These results are important and significant for on-farm monitoring strategies, as well as for invasion monitoring systems currently in place to detect the distribution ofB. dorsalis in South Africa.
