Journal of Phytopathology最新文献

{"title":"Influence of Different Application Methods of Crude Lipopolysaccharides on Plant Growth, Productivity and on the Control of Tomato Bacterial Leaf Spot and Powdery Mildew","authors":"Valdeir Nunes Carvalho,&nbsp;Rosicléia da Silva,&nbsp;Rômulo Pedro Macêdo Lima,&nbsp;Aldemir Chaim,&nbsp;Bernardo de Almeida Halfeld-Vieira","doi":"10.1111/jph.70048","DOIUrl":"https://doi.org/10.1111/jph.70048","url":null,"abstract":"<div>\u0000 \u0000 <p>Lipopolysaccharides (LPS) are structural components of gram-negative bacteria that potentially induce innate immune responses in plants. A previous study demonstrated that an LPS acts as an elicitor, triggering systemic resistance against bacterial spot in tomato caused by <i>Xanthomonas euvesicatoria</i> pv. <i>perforans</i>. However, its long-term impact on plant growth, disease control and productivity remained unclear. The first experiment determined the optimal concentration of the crude LPS for effective bacterial spot control without deleterious effects on plants. The second experiment evaluated LPS application methods and timings that provide balanced benefits for plant growth, productivity and control of bacterial spot and powdery mildew. Additionally, the involvement of polyphenoloxidase and phenylalanine ammonia-lyase (PAL) in disease resistance was also investigated through gene expression assays. Results estimated 7.3 μg/mL as the optimal dose for minimising disease severity without compromising chlorophyll content. At least one application in the vegetative stage, using either electrostatic spraying or soil dispensing, yielded the most balanced outcomes for plant growth, productivity and disease control. Electrostatic spraying provided an average reduction in severity of 60% for bacterial spot and 32% for powdery mildew, while soil dispensing provided 58% and 28%, respectively. These treatments also promoted increased <i>PAL</i> gene expression, suggesting that this enzyme is involved in the resistance response.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional Study of FgNiR Gene in Pathogenicity and Utilisation Capacity of Nitrogen Sources of Fusarium graminearum","authors":"Huiming Li,&nbsp;Tongyu Hao,&nbsp;Xuelian Duan,&nbsp;Yikai Zhang,&nbsp;Jia Jiang,&nbsp;Le Qian,&nbsp;Shengming Liu","doi":"10.1111/jph.70044","DOIUrl":"https://doi.org/10.1111/jph.70044","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Fusarium graminearum</i> is the dominant pathogenic fungus of the Fusarium head blight (FHB) which seriously damages the yield and quality of wheat in China. The gene <i>FgNiR</i> encodes nitrite reductase (NiR) of the nitrogen reduction pathway in <i>F. graminearum</i>. However, the function and role of the <i>FgNiR</i> were unclear. In this study, <i>FgNiR</i> gene deletion mutants were compared with wild-type strains and complementary mutants in terms of functional roles, including vegetative growth, tolerance to abiotic stress, sensitivity to fungicides, utilisation capacity of nitrogen sources, pathogenicity and the expression levels of <i>Tris</i> genes and nitrate reductase gene (<i>FgNR</i>). The results showed that <i>FgNiR</i> deletion significantly reduced the conidial germination rate and speed and pathogenicity of wheat coleoptile. The mycelial growth inhibition rates of deletion mutants were significantly decreased under osmotic stress but increased under oxidative stress. The inhibition rates of the deletion mutants treated with Congo red significantly increased. The EC₅₀ values of triazole fungicides and fluazinam of the deletion mutants were significantly higher, but the EC₅₀ values of phenamacril were significantly decreased. When <i>FgNiR</i> was absent, there were different degrees of difference in utilisation capacity of nitrogen in <i>F. graminearum</i>, and the expression level of <i>FgNR</i> was upregulated. The expression of <i>Tris</i> gene showed that the expression levels of <i>Tri1</i>, <i>Tri5</i> and <i>Tri10</i> were significantly upregulated. These results are of crucial scientific significance for exploring the specific interaction mechanism of <i>FgNR</i> and <i>FgNiR</i> and developing efficient strategies for the prevention and control of FHB.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cucurbita maxima, A New Host of Tomato Leaf Curl Palampur Virus From India","authors":"R. P. Kushvaha,&nbsp;S. K. Snehi","doi":"10.1111/jph.70038","DOIUrl":"https://doi.org/10.1111/jph.70038","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Cucurbita maxima</i> is an important <i>Cucurbitaceous</i> vegetable crop cultivated for its immature and tender fruits used in various culinary applications. During the survey in 2022, we found that the <i>C. maxima</i> crop was severely affected by the genus begomovirus-like disease, which is associated with mosaic and leaf curl, with 40%–75% disease incidence. The symptomatic leaves were collected for the biological and molecular identification of begomovirus in <i>C. maxima</i>. The associated disease was successfully transmitted by whiteflies in a transmission study from naturally infected <i>C. maxima</i> to healthy <i>C. maxima</i> and other test host plant species in 30 days post inoculation. The complete viral DNA-A genome was successfully amplified by begomovirus gene-specific primers through PCR, and nucleotide sequence data were submitted to the NCBI GenBank database (Acc. No. OQ320769). The isolates (OQ320769) showed 97%–98% nucleotide sequence identities and close phylogenetic relationships with various isolates of <i>Tomato leaf curl Palampur virus</i> (ToLCPalV). Therefore, the isolates under study were identified as ToLCPalV. To the best of our knowledge, <i>C. maxima</i> is a new host of ToLCPalV associated with mosaic disease, and it has been identified for the first time in India, which could pose a major constraint to <i>C. maxima</i> production in Central India.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Broad-Spectrum and Phenotypically Stable Resistance to Neotropical Phytophthora capsici Isolates in Solanum lycopersicum and Solanum habrochaites Accessions","authors":"Débora Gonçalves-Pereira,&nbsp;Ailton Reis,&nbsp;Maria Esther N. Fonseca,&nbsp;Felipe R. Garcés-Fiallos,&nbsp;Leonardo S. Boiteux","doi":"10.1111/jph.70040","DOIUrl":"https://doi.org/10.1111/jph.70040","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Phytophthora capsici</i> can induce severe economic losses in the tomato (<i>Solanum lycopersicum</i>) crop. However, broad-spectrum and phenotypically stable sources of resistance to this highly variable pathogen are not yet identified in <i>Solanum</i> (section <i>Lycopersion</i>) germplasm. We evaluated, in three bioassays, the reaction of <i>Solanum</i> (<i>Lycopersicon</i>) accessions against seven <i>P. capsici</i> isolates. All isolates across all bioassays induced severe symptoms in the susceptible control <i>Capsicum annuum</i> ‘Tico’. The <i>Ralstonia solanacearum</i>-resistant tomato ‘Hawaii-7996’ displayed superior levels of resistance to four isolates, whereas <i>S. habrochaites</i> ‘WIR-7924’ displayed resistance to five isolates. The resistant/susceptible reactions of the accessions were not coincident, indicating the presence of isolate-specific resistance factors as well as potential pathogen pathotypes. Large-spectrum genetic resistance to <i>P. capsici</i> isolates is essential for sustainable management of this pathogen. Hence, combining resistance factors from ‘Hawaii-7996’ and <i>S. habrochaites</i> ‘WIR-7924’ into a single cultivar would be a promising breeding strategy aiming to develop tomatoes with resistance to a wide array of <i>P. capsici</i> isolates.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanopore Sequencing Reveals the First Report of Poinsettia Mosaic Virus Infecting Euphorbia milii in South Korea","authors":"Min-Jae Kim,&nbsp;Hae-Jun Kim,&nbsp;Jin-Sung Hong,&nbsp;Rae-Dong Jeong","doi":"10.1111/jph.70046","DOIUrl":"https://doi.org/10.1111/jph.70046","url":null,"abstract":"<div>\u0000 \u0000 <p>The poinsettia mosaic virus (PnMV) was first identified in <i>Euphorbia milii</i> in South Korea using nanopore sequencing; the complete genome of this isolate, named PnMV-CNU, has subsequently been assembled and characterised. The transcriptomic analysis results were further validated by RT-PCR using PnMV-specific primers and Sanger sequencing. The PnMV-CNU genome consisted of 6094 nucleotides, encoding a polyprotein with conserved domains typical of the <i>Tymoviridae</i> family, including methyltransferase, protease, helicase, RNA-dependent RNA polymerase and coat protein. Phylogenetic analysis demonstrated a close relationship between PnMV-CNU and other isolates, suggesting a broad geographical distribution of the virus. Mechanical inoculation of PnMV-CNU onto <i>Chenopodium album</i> confirmed its infectivity, resulting in systemic foliar necrosis on inoculated plants. To our knowledge, this study represents the first report of PnMV infecting <i>E. milii</i>, expanding the known host range of the virus and highlighting the importance of rapid diagnostic tools such as nanopore sequencing. These findings underscore the need for vigilant surveillance to mitigate the impact of PnMV on <i>Euphorbia</i> species.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Efficacy of Trichoderma harzianum and Pseudomonas putida in Mitigating Verticillium Wilt of Brassica napus","authors":"Namra Ausaf,&nbsp;Hira Saleem,&nbsp;Rabia Nawab,&nbsp;Asif Kamal,&nbsp;Hassaan Ateeb Ahmad,&nbsp;Javeria Ghufran,&nbsp;Muhammad Sohail Riaz,&nbsp;Ibrar Ullah,&nbsp;Hassan Javed Chaudhary,&nbsp;Muhammad Farooq Hussain Munis","doi":"10.1111/jph.70045","DOIUrl":"https://doi.org/10.1111/jph.70045","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Verticillium dahliae</i> is a devastating pathogen that causes Verticillium wilt of <i>Brassica napus</i>. This study investigated the application of <i>Pseudomonas putida</i> and <i>Trichoderma harzianum</i> as biocontrol agents against <i>V. dahliae</i>, and their impact on the growth of <i>B. napus</i> was studied. In vitro, dual-culture assays revealed significant mycelial growth inhibition of <i>V. dahliae</i> by both <i>T. harzianum</i> (96%) and <i>P. putida</i> (83%). For in vivo studies, the fungus (<i>T. harzianum</i>) was directly introduced into <i>V. dahliae</i>-infested soil, and <i>B. napus</i> seeds were sown (T + VD). For the inoculation with bacteria, seeds of <i>B. napus</i> were primed with <i>P. putida</i> and sown in <i>V. dahliae</i>–infested soil (P + VD). Both treatments significantly improved physiological parameters (seed germination, root length, shoot length, relative water content and chlorophyll contents) and decreased relative electrolyte leakage and oxidative burst (malondialdehyde, H₂O₂). These treatments also increased the concentrations of osmolytes (proline and sugar content) and enhanced enzymatic activities (catalase, peroxidase and superoxide dismutase). After 21 days of germination, control and treated plants (inoculated only with <i>T. harzianum</i> or <i>P. putida</i>) displayed no wilting symptoms. <i>V. dahliae–</i>inoculated plants displayed severe symptoms of wilting, and the lower leaves turned yellow and showed curling. Treatment T + VD revealed almost no disease symptoms, while treatment P + VD exhibited negligible disease symptoms. Histological analysis revealed decreased mycelial colonisation of <i>V. dahliae</i> in the vascular system of <i>B. napus</i> in both T + VD and P + VD treatments. These findings successfully demonstrated the significance of both biocontrol agents for controlling the Verticillium wilt of <i>B. napus</i>.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Elite Wheat Genotypes for Leaf Rust Resistance in a Geographically Diverse Wheat Panel Using Line × Tester Analysis","authors":"Farhan Ullah,&nbsp;Liaqat Shah,&nbsp;Muhammad Saeed,&nbsp;Chen Can,&nbsp;Si Hongqi,&nbsp;Ma Chuanxi","doi":"10.1111/jph.70037","DOIUrl":"https://doi.org/10.1111/jph.70037","url":null,"abstract":"<div>\u0000 \u0000 <p>Leaf rust (LR) poses a global threat to wheat crops and can lead to severe yield losses if environmental conditions favour its spread. Using resistant wheat cultivars offers a sustainable approach to managing LR. This study aimed to identify promising wheat lines for LR-resistance breeding using classical analytical methods to screen for LR tolerance. We evaluated 10 parental lines, comprising 6 lines and 4 testers, crossed into 24 combinations using a line × tester mating design. These germplasm were grown in a triplicate RCB design under both optimal and LR-stress conditions. We recorded data on various morphological, physiochemical, yield and component traits at key growth stages. The analysis of combining ability indicated significant variations among genotypes, with non-additive gene action influencing most traits. Four promising parents (AN179, AN1687, PR123 and PR127) and two crosses (AN179 × PR127 and AN179 × PR123) showed high combining ability for yield traits under LR-stress. Cluster analysis revealed divergent groups among the genotypes, with shifting clustering under LR-stress suggesting varied genotypic responses. Factor analysis identified genotypes that performed consistently well under LR-stress. These genotypes are suitable for use in LR-resistance breeding programs. We also recommend peduncle length and tillers per plant as phenotypic markers for wheat selection and breeding due to their positive correlation with grain yield. The findings of this study can contribute valuable insights to sustainable wheat breeding research.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A New Bacterial Leaf Spot Disease of Common Fig Caused by Pantoea agglomerans in Iran","authors":"Esmaeil Basavand,&nbsp;Pejman Khodaygan,&nbsp;Srđan G. Aćimović,&nbsp;Luisa Ghelardini,&nbsp;Esmaeil Asadi","doi":"10.1111/jph.70023","DOIUrl":"https://doi.org/10.1111/jph.70023","url":null,"abstract":"<div>\u0000 \u0000 <p>In May 2016, leaf spot symptoms were observed on five-year-old common fig trees, located in Sari County (Mazandaran Province). Symptoms comprised irregular and brown necrotic spots, surrounded by yellow halos. Yellow-coloured, mucoid bacterial colonies were consistently isolated from the infected samples. Bacterial isolates were identified by using biochemical, molecular and pathogenicity assays. All isolates showed identical biochemical characteristics typical of the genus <i>Pantoea</i>. Furthermore, based on the nucleotide sequence of 16S rRNA and <i>gyrB</i> genes, the causal agent was identified as <i>Pantoea agglomerans</i>. Upon artificial inoculations under greenhouse conditions, the isolated strains caused symptoms in mature leaves of common fig saplings. To the best of our knowledge, this is the first worldwide report of <i>P. agglomerans</i> causing bacterial leaf spot on common fig.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved Convolutional Network With Transfer Learning and Texture Feature Extractor for Plant Disease Detection","authors":"Tushar V. Kafare,&nbsp;Nirmal Sharma,&nbsp;Anil L. Wanare","doi":"10.1111/jph.70028","DOIUrl":"https://doi.org/10.1111/jph.70028","url":null,"abstract":"<div>\u0000 \u0000 <p>Global agriculture is seriously threatened by plant diseases, which have an effect on output and food security. For disease care to be effective, prompt detection and precise diagnosis are essential. Traditional methods reliant on the visual inspection are labour-intensive and subjective. Recent technological advances in computer vision and machine learning offer promising solutions. This paper introduces the Transfer Learning-based Plant Disease Detection (TL-PDD) framework, which integrates preprocessing, segmentation, feature extraction and disease prediction stages. Initial preprocessing employs median filtering for data refinement. Segmentation, utilising the Adaptive Pixel Integration in Joint Segmentation (APIJS) approach, isolates disease-affected regions in plant images through a variant of DJS. Feature extraction includes the extraction of critical attributes such as Multi-texton, PHOG and Niblack's Method Assisted in Local Gabor Increasing Pattern (NMA-LGIP). Disease prediction employs a novel Double Convolutional Activation in Convolutional Neural Network-Transfer Learning (DCA-CNN-TL) model, facilitating disease classification and severity assessment based on extracted features. The efficiency and precision of plant disease detection systems can be improved by this framework, supporting efforts to ensure global food security and sustainable agriculture.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143362697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plant Leaf Disease Classification in Precision Farming With Hybrid Classifier: Colour, Deep and Pattern-Based Feature Descriptors","authors":"Mukesh Kumar Tripathi,&nbsp;Madugundu Neelakantappa,&nbsp;Talla Prashanthi,&nbsp;Chudaman Devidasrao Sukte,&nbsp;Deshmukh Dilip Pandurang,&nbsp;Nilesh P. Bhosle","doi":"10.1111/jph.70030","DOIUrl":"https://doi.org/10.1111/jph.70030","url":null,"abstract":"<div>\u0000 \u0000 <p>In the agricultural sector, pesticides are used to prevent disease transmission and protect crop yields. However, due to the diverse range of diseases, the human observation can often lead to misidentification. It is essential for a timely and precise disease classification approach without human intervention. Classifying the plant leaf diseases with an automated system is the significant need in this scenario. In this work, a hybrid classification model for the categorisation of plant leaf diseases is presented. Preprocessing, segmentation, feature extraction and classification of leaf diseases are the four steps in this method. In this work, crops such as grapes and mango are considered. Primarily, preprocessing the input image by utilising Gaussian filtering methods, which enhances the quality of image. The filtered image is then put through a segmentation process using the MBIRCH framework. The segmented image is then used to extract a number of features, including GLCM, ILGBHS, colour, shape and deep features using the VGG16 and AlexNet networks. Following the procedure, the hybrid model—which combines Bi-GRU and DCNN with TL—is applied to the acquired features, and the final classified result is determined by the enhanced fusion score method.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143362698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}