Veterinary Pathology最新文献

{"title":"Intestinal necrosis in calves with blackleg: A novel presentation of <i>Clostridium chauvoei</i> infection.","authors":"Fernanda F Perosa, Jean C O Menegatt, Francisco A Uzal, Juliann Beingesser, David Driemeier, Daniel R Rissi, Ricardo E Mendes","doi":"10.1177/03009858261472497","DOIUrl":"https://doi.org/10.1177/03009858261472497","url":null,"abstract":"<p><p>Blackleg is a necrotizing, hemorrhagic, and emphysematous myositis of ruminants caused by <i>Clostridium chauvoei</i>. Here, we report a previously unrecognized manifestation of blackleg in calves characterized by multifocal, transmural intestinal necrosis. Two, 3- and 6-month-old beef calves without history of vaccination against clostridial diseases died following acute muscular disease. Gross and histologic changes were consistent with blackleg, including emphysematous and necrotizing myositis with gram-positive bacilli. Both calves had sharply demarcated areas of transmural, intestinal coagulative necrosis with vascular congestion, hemorrhage, fibrinoid necrosis, and thrombosis. Infection was confirmed by positive <i>C. chauvoei</i> immunolabeling in skeletal muscles of both calves and the small intestine of one case, and by polymerase chain reaction (PCR) in the skeletal muscles and intestines of both calves. Intestinal necrosis has not been previously reported in association with blackleg. Systematic examination, including the intestines, in cases of blackleg is recommended.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261472497"},"PeriodicalIF":2.3,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148664458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neuropathology, novel tissue tropism, and evidence of vertical transmission in South American pinnipeds naturally infected with high pathogenicity avian influenza H5N1 virus in Argentina.","authors":"Carla Fiorito, Antonio Fernández, Ana Colom-Rivero, Paula Alonso-Almorox, Marisa Andrada, Daniel Lombardo, Eva Sierra","doi":"10.1177/03009858261465443","DOIUrl":"https://doi.org/10.1177/03009858261465443","url":null,"abstract":"<p><p>In 2023, high pathogenicity avian influenza (HPAI) H5N1 outbreaks caused mass mortality events affecting pinnipeds throughout South America. Here, we present the clinical, pathological, immunohistochemical, and molecular findings associated with HPAI H5N1 infection in 3 South American sea lions (<i>Otaria flavescens</i>) and 1 southern elephant seal (<i>Mirounga leonina</i>) stranded during the outbreak in Chubut, Argentina. Neurological signs were observed in 2 sea lions, with 1 also exhibiting respiratory distress. Necropsies were conducted on all 4 animals. Neuropathology revealed mild-to-severe lymphohistiocytic (2/4) to mixed neutrophilic (2/4) meningoencephalitis with neuronal necrosis, neuronophagia, glial cell proliferation, multifocal hemorrhage, and perivascular cuffing in all animals. Novel findings for HPAI H5N1-infected pinnipeds included choroid plexitis (2/4) and myelitis (2/4). Immunohistochemistry for viral nucleoprotein was positive in 3 of 4 animals and involved neurons (3/3), glial cells (3/3), and ependymal cells (2/3). Viral-related systemic findings included multifocal necrotizing myocarditis in the elephant seal and multifocal necrotizing placentitis in a sea lion, with HPAI virus detected within fetal tissues. Pulmonary lesions were minimal and were limited to multifocal necrosis of bronchial glands in 1 sea lion. HPAI H5 clade 2.3.4.4b virus was confirmed by polymerase chain reaction and sequencing in all animals. These findings indicate a predominance of central nervous system involvement in HPAI H5N1-infected pinnipeds and expand the recognized spectrum of virus-associated lesions, identifying novel tissue tropisms and transmission routes.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261465443"},"PeriodicalIF":2.3,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148670676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Polioencephalomyelitis and neuronal necrosis caused by canine parvovirus-2a variant in free-ranging juvenile mountain lions (<i>Puma concolor</i>).","authors":"Omar A Gonzales-Viera, Aníbal G Armien, Francisco A Uzal, Javier Asin, Juliann Beingesser, Samantha M Barnum, Oluwafemi F Adu, Colin R Parrish, Aslı Mete, Jaime Rudd, Deana L Clifford","doi":"10.1177/03009858261465442","DOIUrl":"https://doi.org/10.1177/03009858261465442","url":null,"abstract":"<p><p>Canine parvovirus 2a (CPV-2a) causes severe enteritis and diarrhea in unvaccinated domestic puppies and wild mesocarnivores, such as raccoons (<i>Procyon lotor</i>). A retrospective and prospective study was conducted to characterize CPV-induced encephalomyelitis in mountain lions (<i>Puma concolor</i>) from California. Four free-ranging juvenile mountain lions were euthanized due to severe neurological signs. Microscopically, multifocal neuronal necrosis, lymphoplasmacytic perivascular cuffing, and gliosis were primarily observed in the gray matter of the brain and spinal cord in all the studied animals. Rare intranuclear inclusion bodies were observed in the brainstem of 1 animal. All animals lacked microscopic and macroscopic evidence of enteritis. The association between the lesions and CPV-2 was confirmed by quantitative polymerase chain reaction (qPCR) and immunohistochemistry, which revealed the presence of viral DNA in nervous tissue and antigen in numerous necrotic neurons, respectively. Detection of <i>CPV-2</i> mRNA by quantitative reverse transcription-PCR and nucleic acids by in situ hybridization indicated viral transcription in the necrotic neurons. Negative-contrast transmission electron microscopy revealed Parvoviridae particles in the brain, suggesting viral replication and assembly. Molecular sequencing in 2 cases detected a CPV-2a variant with amino acid substitutions previously observed in other wild carnivores. Although rare, CPV-2a is a potential cause of neurological signs in juvenile mountain lions without evidence of diarrhea or enteritis.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261465442"},"PeriodicalIF":2.3,"publicationDate":"2026-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148631590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recognition and reporting of histologic features in canine integumentary mast cell tumors: An assessment of interpathologist agreement.","authors":"Christopher P Champion, Donald J Meuten, Daniel R Rissi, Aline Rodrigues-Hoffmann, Laetitia J Tatiersky, Andrew D Miller, Renée Laufer-Amorim, Ilaria Porcellato, W Shane Sills, Emily Rätsep, Melanie Dobromylskyj, Federico Cifuentes, Sheryl Coutermarsh-Ott, Mauricio A Navarro, Ayisa Rodrigues de Oliveira, Bruce H Williams, Renato L Santos, Clinson C Lui, Jey W Koehler, James K Chambers, Valeria Grieco, Ian K Hawkins, Michael J Dark, Valentina Stevenson, Latasha Ludwig","doi":"10.1177/03009858261465445","DOIUrl":"https://doi.org/10.1177/03009858261465445","url":null,"abstract":"<p><p>Canine integumentary mast cell tumors (CIMCTs) are common, and their clinical behavior can vary significantly. In an attempt to predict their biological behavior, veterinary pathologists utilize grading systems and assess specific histologic features, which are thought to carry prognostic significance. Assessment of interpathologist agreement with CIMCT grading systems has been investigated. However, for most individual histologic features that form the basis of these grading systems, there has been no investigation into how consistently they can be recognized and reported. This study evaluated the interpathologist agreement for morphologic diagnosis (ie, cutaneous vs subcutaneous mast cell tumors) and 31 histologic features commonly evaluated in CIMCTs by developing 2 surveys, without (survey 1) and with (survey 2) written definitions. Twenty-three veterinary anatomic pathologists located in 8 countries completed the surveys, which included 20 CIMCTs. Interpathologist agreement was calculated for each feature using Krippendorff's alpha values (α). The degree of agreement for morphologic diagnosis was moderate (α = 0.452) and substantial (α = 0.611) in surveys 1 and 2, respectively. In both surveys, there was suboptimal (α < 0.400) agreement among pathologists in evaluating most histologic features (21/31 in survey 1; 20/31 in survey 2). Ulceration, tumor depth and width, and deep histologic tumor-free distance had the best agreement (range = 0.597-0.929) in both surveys. The features with the worst agreement (α ≤ 0.100) in both surveys were cytoplasmic granularity, degree of demarcation, degree of infiltration, chromatin pattern, nucleolar number, and nucleolar prominence. Written definitions did not categorically change interpathologist agreement for most (24/31) histologic features.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261465445"},"PeriodicalIF":2.3,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148621475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of <i>Coxiella burnetii</i> infection in cynomolgus macaques.","authors":"Nancy A Twenhafel, David N Dyer, Ondraya M Frick, Jennifer Scruggs, Janice A Williams, Xiankun Zeng, Alexandra N Jay, Wannaporn I Tanno, Franco D Rossi, Sara I Ruiz","doi":"10.1177/03009858261459459","DOIUrl":"https://doi.org/10.1177/03009858261459459","url":null,"abstract":"<p><p>Q fever, caused by <i>Coxiella burnetii</i>, leads to debilitating human infections that are often recalcitrant to antibiotics. The development of new medical countermeasures is critical, as the only available vaccine has significant limitations that prevent its widespread or rapid use. To address this, we characterized aerosol <i>C. burnetii</i> infection in 16 cynomolgus macaques (<i>Macaca fascicularis</i>), providing the first detailed pathological description of Q fever pneumonia in a nonhuman primate model. Following exposure, all animals developed clinical signs consistent with human Q fever, including sustained fever, respiratory distress, and weight loss. Clinical pathology revealed hematological changes and evidence of systemic inflammation, including elevated C-reactive protein. Although clinical signs resolved by day 28, significant pathology persisted, including granulomatous interstitial pneumonia, pleuritis, carditis, hepatitis, and nephritis. Infection was confirmed in tissues using immunohistochemistry and electron microscopy. The cynomolgus macaque model faithfully replicates key features of human Q fever, validating its utility for studying disease pathogenesis and serving as a pivotal model for evaluating next-generation vaccines and therapies.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261459459"},"PeriodicalIF":2.3,"publicationDate":"2026-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying artificial intelligence to automate clinical data extraction from veterinary electronic health records: A practical guidance and comparative scoping review.","authors":"Yumi Chang, Candice P Chu","doi":"10.1177/03009858261461761","DOIUrl":"https://doi.org/10.1177/03009858261461761","url":null,"abstract":"<p><p>Veterinary electronic health records are often stored as unstructured free text, and structuring this information into analyzable formats is essential for downstream research. Natural language processing methods, including rule-based systems, machine learning algorithms, and, more recently, large language models (LLMs), provide tools to achieve this goal. This scoping review follows the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) Extension for Scoping Reviews (PRISMA-ScR) guideline to examine how information extraction (IE) has been applied in veterinary medicine and extended to existing LLM approaches in human medicine. Literature research was conducted on 4 databases: PubMed, CAB Abstracts, Web of Science, and ACL Anthology, with stricter criteria limiting human medicine to prompt-based studies. After screening 5796 original research papers, a total of 23 veterinary and 31 human studies were selected for inclusion. In the veterinary literature, larger data sets were more commonly used to train supervised models, whereas human studies increasingly employed prompt-based LLMs, such as LLaMA and GPT, enabling IE with smaller annotated data sets. We developed a practical framework covering data preparation, platform and privacy considerations, and prompt engineering, with a corresponding workflow and prompt example to demonstrate the application of artificial intelligence (AI) in clinical data extraction. This review offers a practical tool to help veterinary researchers effectively integrate AI tools and LLMs into clinical research workflows.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261461761"},"PeriodicalIF":2.3,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148473049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distinguishing normal and abnormal tissues in nonclinical toxicity studies using unsupervised representation learning.","authors":"Pradeep Babburi, Lauren Himmel, Haresh Kansara, Shima Mehrvar, Eileen Owens, Clayton Seitz, Bhupinder Bawa, Magali Guffroy","doi":"10.1177/03009858261462565","DOIUrl":"https://doi.org/10.1177/03009858261462565","url":null,"abstract":"<p><p>Nonclinical toxicity studies are essential components of the drug development process and are based on labor-intensive visual examination of large numbers of glass slides under the microscope by pathologists. In this work, we present an artificial intelligence (AI)-based solution using an unsupervised representation learning model with a Bidirectional Generative Adversarial Network (BiGAN) for triaging normal and abnormal tissues and a machine learning-based severity grade classifier (SGC) for severity grade estimation on whole-slide images (WSIs) of rat liver. The BiGAN model was trained solely on vehicle control WSIs to learn normal histology and computed a tile-level similarity error, representing the deviation from normalcy, which was used to identify tile- and slide-level abnormalities. Our BiGAN model demonstrated an abnormality discrimination of receiver operating characteristic (ROC) area under the curve (AUC) of 0.77 with highest sensitivity for high-grade abnormalities. We utilized the similarity error data from BiGAN to train the SGC model and predicted slide-level severity grades with ROC AUC values ranging from 0.68 to 0.96 (minimal to marked) with most errors within ±1 grade, reflecting real-world pathologist grading variability. In addition, our heatmap visualizations of tile-level abnormalities revealed good to fair agreement with ground truth abnormalities in 70% of evaluated WSIs. By training the BiGAN on normal tissue slides, including minimal grade background abnormalities from vehicle control animals, our workflow eliminates annotation requirements and enables rapid adaptation to new tissues and species, paving the way for scalable AI models that streamline nonclinical pathology with minimal pathologist input.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261462565"},"PeriodicalIF":2.3,"publicationDate":"2026-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148449678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinicopathological characteristics and clinical outcomes of multiple histological subtypes in feline mammary carcinomas.","authors":"Pruettha Aruvornlop, Nlin Arya, Sirintra Sirivisoot, Tanit Kasantikul, Rassameepen Phonarknguen, Walasinee Sakcamduang","doi":"10.1177/03009858261462564","DOIUrl":"https://doi.org/10.1177/03009858261462564","url":null,"abstract":"<p><p>Feline mammary carcinomas (FMCs) are heterogeneous neoplasms often comprising multiple histological patterns within a single case. The current practice of focusing on a prominent subtype hinders prognostic accuracy and potentially produces suboptimal therapeutic decisions. This retrospective study proposed criteria for grouping these mixed patterns and evaluated their prognostic significance in FMCs. The criteria were based on the tubular carcinoma composition and adopted from those of human breast cancer. Eighty-seven cats with FMCs were divided into groups according to tubular carcinoma composition: pure tubular carcinoma (PTC, <i>n</i> = 34), tubular carcinoma mixed with other subtypes (TMC, <i>n</i> = 16), and nontubular carcinoma (NTC, <i>n</i> = 37). Prognostic factors and overall survival (OS) were compared among the groups. The PTC and TMC groups were significantly associated with early-stage FMCs (<i>P</i> = .03) and low argyrophilic nucleolar organizer region values (<i>P</i> = .02). Conversely, NTCs had the poorest prognosis (<i>P</i> = .03) and were associated with incomplete surgical margins (<i>P</i> = .004), advanced clinical stage (<i>P</i> < .001), and high histological grade (<i>P</i> < .001) on multivariable analysis. Median OS for the PTC, TMC, and NTC groups was 221, 242, and 147 days, respectively. Considering individual histological subtypes, cats with adenosquamous carcinoma had a shorter OS (60 days) than those with comedocarcinoma (147 days) and tubular carcinoma (240 days, <i>P</i> < .001). These criteria were associated with FMC outcome in this cohort, providing a potentially useful framework for prognosis. However, further validation through prospective studies is needed to fully establish their clinical utility.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261462564"},"PeriodicalIF":2.3,"publicationDate":"2026-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148431033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intratumoral distribution of anisokaryosis in canine cutaneous mast cell tumors.","authors":"Christof A Bertram, Frauke Wilm, Eda Parlak, Taryn A Donovan, Hannah Janout, Pompei Bolfa, Michael J Dark, Andrea Fuchs-Baumgartinger, Andrea Klang, Robert Klopfleisch, Barbara Richter, Marc Aubreville, Stephan M Winkler, Matti Kiupel, Alexander Bartel","doi":"10.1177/03009858261465447","DOIUrl":"https://doi.org/10.1177/03009858261465447","url":null,"abstract":"<p><p>Automated measurements of anisokaryosis in canine cutaneous mast cell tumors (ccMCTs) have been shown to be predictive of survival, but questions remain regarding the intratumoral distribution of anisokaryosis. Whole-slide images of 96 ccMCTs were analyzed with a deep learning-based segmentation algorithm to quantify anisokaryosis using the standard deviation (SD) of the nuclear area. In 35/96 cases, >5% of the non-overlapping 256 × 256 µm² regions were hotspots (SD ≥11.5 µm²). Regions selected by 7 pathologists within these 35 cases matched hotspots in 32% of the instances. Outcome analysis (tumor-related death) based on single tumor regions yielded an area under the curve (AUC) of 0.901 for pathologist-selected hotspots, falling between random region selection (AUC: 0.862) and 90th-percentile targeted selection (AUC: 0.956). Whole-slide analysis of the hotspot proportion predicted survival with an AUC of 0.956, with 20% of hotspots as a prognostically meaningful threshold. Whereas pathologists-selected tumor regions are prognostically meaningful for nuclear morphometry, whole-slide analysis may provide additional prognostic information.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261465447"},"PeriodicalIF":2.3,"publicationDate":"2026-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148431039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Benign epithelial inclusions in renal hilar lymph nodes of a cynomolgus monkey (<i>Macaca fascicularis</i>).","authors":"Mitsutoshi Uchida, Yuki Tomonari, Natsumi Shimoyama, Yutaka Nakahara, Takuya Doi, Junko Sato","doi":"10.1177/03009858261457963","DOIUrl":"10.1177/03009858261457963","url":null,"abstract":"<p><p>Epithelial cell clusters found ectopically in lymph nodes are generally considered metastatic lesions from malignant tumors; however, benign epithelial inclusions (BEIs) are a known exception, and distinguishing them from malignancy is often challenging in human medicine. We report the presence of BEIs in a cynomolgus monkey with severe renal damage but no evidence of neoplastic lesions. The inclusions were observed in the subcapsular sinuses of the lymph nodes and were positive for cytokeratin and aquaporin-1 by immunohistochemistry. Similar epithelial clusters were also found within the lymphatic vessels of the renal hilum. Furthermore, migration of epithelial cells into the lymphatic vessels within the renal parenchyma was observed, suggesting that the BEIs in this case originated from renal tubular epithelium. To our knowledge, this is the first report of BEIs of renal tubular origin in an animal, providing valuable insights into their histological and ultrastructural features, as well as their underlying pathogenesis.</p>","PeriodicalId":23513,"journal":{"name":"Veterinary Pathology","volume":" ","pages":"3009858261457963"},"PeriodicalIF":2.3,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148391829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}