• Korean Journal of Veterinary Service
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• v.41 no.3
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• pp.211-216
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• 2018

Heat stroke in a dog is a life-threatening syndrome characterized by a high body temperature over $41^{\circ}C$, by the central nervous system dysfunction, and by multiple organ dysfunction. A 11-month-old male American Pit Bull Terrier was presented to clarify the cause of death to diagnostic laboratory. This dog showed clinical signs such as high body temperature ($42^{\circ}C$), severe tachypnea, hematochezia, epistaxis and hemoptysis after transportation at hot summer time. At necropsy, there were hemorrhages in skin, serosa of stomach and small intestine, and also dark red fluid in lumen of intestine. Histopathologic examination revealed extensive hemorrhages in stomach, muscle, skin, and tongue. In microbiology, pathologic bacteria such as Pasteurella, Boedetella, Salmonella, Clostridium, and circulating virus in Korea such as CDV, CIV, CAV, CHV, CCV, CPIV were negative except CPV. There were many gross and microscopic lesions suggesting hest stroke while pathologic agents and related lesions were not detected. Therefore we diagnosed this case as heatstroke.

• Korean Journal of Veterinary Research
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• v.54 no.4
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• pp.197-201
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• 2014

In Korea, brucellosis has been reported periodically in cattle and rarely in dogs; however, it has not previously been screened in domestic animals such as elk, pigs and goats. To investigate the serological prevalence, serum samples were taken from the aforementioned animals annually during 2007-2013 and screened by the rose-bengal test (RBT) or modified RBT, after which positive sera were evaluated by the standard tube agglutination test (STAT). Finally, RBT and STAT-positive sera were confirmed by competitive-ELISA. Brucella abortus biovar 1 was isolated from three elk that were shown to be positive serologically in 2008. There was no evidence of brucellosis in pigs. Based on serological monitoring and investigation of etiological agents, there is no evidence of outbreak of brucellosis in elk, pigs or goats of Korea since 2008. However, the possibility for brucellosis from cattle to affect these other livestock exists; therefore, extensive and continuous serological monitoring is required to maintain their brucellosis-free status.

• Korean Journal of Veterinary Research
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• v.58 no.2
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• pp.107-109
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• 2018

An 8-year-old female Eurasian otter (Lutra lutra) reared in a wetland center, died 2 h after sudden onset of astasia and dyspnea despite medical treatment. Gross examination of internal organs revealed 10 adult filarioid nematodes in the right ventricle of the heart and three between the left and right cerebral hemispheres. All nematodes were identified as Dirofilaria immitis by direct microscopy and polymerase chain reaction assay. Histopathological observation revealed multifocal hemorrhage in the cerebral subarachnoid space and focal necrosis with hemorrhage in the cerebellar parenchyma. Although rare, veterinarians should consider cerebral dirofilariasis as a differential diagnosis in unexplained neurological cases.

• Korean Journal of Veterinary Service
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• v.41 no.1
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• pp.51-55
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• 2018

Herein, we report a case of badgers showing high morbidity and mortality rate due to the mixed infection of canine distemper virus (CDV) and Streptococcus canis (S. canis) in a farm where wild animal, badger, is being reared for herbal medicine. During the period of about one month, 120 out of 320 badgers showed severe respiratory symptoms and died, and 3 bodies were submitted to the Animal and Plant Quarantine Agency for disease diagnosis. The lung with the most severe necropsy findings failed to collapse and showed dark reddening and had yellowish nodules on the cut surface. The characteristic and common histopathologic findings include multifocal necrosis with hemorrhage of the lung, severe lymphoid depletion of the spleen and intracytoplasmic or intranuclear inclusion bodies in almost all organs. Finally, CDV and S. canis were identified by immunohistochemistry and bacterial isolation, respectively. This is the first mixed infection case of CDV and S. canis in badgers being raised on the farm.

• Korean Journal of Veterinary Research
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• v.53 no.3
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• pp.149-153
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• 2013

Animal poisoning has been occurred in Korea. However, the lack of the data about animal poisoning in Korea makes clinicians and diagnostician difficult to obtain information on poisoning cases. In this paper, we tried to gather information about animal poisoning from 1974 to June 2013 in Korea. Animal and Plant Quarantine Agency (QIA) record database were used to examine recent trends in animal poisoning. The analysis showed that the cattle was reported to be the most common species involved in animal poisoning and botulinum toxin constituted the primary group of toxicants. Animal poisoning occurred frequently on January and in Gyenggi-do. Although the data present in this manuscript is a little, it will be helpful to understand the general trend of animal poisoning in Korea.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.51-62
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• 2021

Plant disease is one of the issues that can create losses in the production and economy of the agricultural sector. Early detection of this disease for finding solutions and treatments is still a challenge in the sustainable agriculture field. Currently, image processing techniques and machine learning methods have been applied to detect plant diseases successfully. However, the effectiveness of these methods still needs to be improved, especially in multiclass plant diseases classification. In this paper, a convolutional neural network with a batch normalization-based deep learning approach for classifying plant diseases is used to develop an automatic diagnostic assistance system for leaf diseases. The significance of using deep learning technology is to make the system be end-to-end, automatic, accurate, less expensive, and more convenient to detect plant diseases from their leaves. For evaluating the proposed model, an experiment is conducted on a public dataset contains 20654 images with 15 plant diseases. The experimental validation results on 20% of the dataset showed that the model is able to classify the 15 plant diseases labels with 96.4% testing accuracy and 0.168 testing loss. These results confirmed the applicability and effectiveness of the proposed model for the plant disease detection task.

• Proceedings of the Korean Society of Plant Pathology Conference
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• 2003.10a
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• pp.121.1-121
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• 2003

Dispersal of Xanthomonas axonopodis pv. citri, causing citrus bacterial canker disease on Unshiu orange was investigated at previously infested plots at Seogwipo in Jeju island of Korea. The bacterial pathogen overwintered in lesions started to multiply at tate May, and disease firstly observed one month after detection of phage from lesions. The disease gradually increased, however, it dispersed non-directionally to nearby plants from inoculum sources. Diseased plants were aggregated to form a cluster throughout the experiment. Population dynamics of phage on symtomless leaf surface and the disease severity were compared in the nursery, Increase of phage population on symptomless leaf surface preceded one month to that of the disease severity Population of phage increased constantly from late July to October, however, the disease severity decreased from late August to late October. It was assumed that the decrease of disease severity might be due to disease-induced defoliation.

• The Plant Pathology Journal
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• v.39 no.2
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• pp.159-170
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• 2023

Spot blotch disease of wheat caused by Bipolaris sorokiniana (Sacc.) Shoem is considered as an economically important disease which affects all the growing stages of wheat crop. Therefore, it is important to search some effective management strategies against the spot blotch pathogen. Some synthetic elicitor compounds (salicylic acid, isonicotinic acid, and chitosan) and nano-particles (silver and aluminum) were tested against the pathogen to observe the change in biochemical activity and defense action of wheat plant against spot blotch disease. All the tested elicitor compounds and nano-particles showed a significant increase in activity of peroxidase, polyphenol oxidase (PPO), and total phenol over control. The highest increase in activity of peroxidase was recorded at 72 h from chitosan at 2 mM and 96 h from silver nano-particle at 100 ppm. Maximum PPO and total phenol activity were recorded from chitosan at 2 mM and silver nano-particle at 100 ppm as compared to pathogen-treated and healthy control. The lowest percent disease index, lowest no. of spots/leaf, and no. of infected leaves/plant were found in silver nano-particle at 100 ppm and chitosan at 2 mM, respectively. The use of defense inducer compounds results in significantly up-regulated enzymatic activity and reduced spot blotch disease. Therefore, chitosan and silver nano-particle could be used as alternative methods for the management of spot blotch disease.

• Korean Journal of Veterinary Research
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• v.60 no.4
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• pp.195-202
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• 2020

Feline calicivirus (FCV) infection results in a common upper respiratory disease associated with oral ulceration in cats. Although FCV infection has been reported in cats worldwide, the biologic and genetic features of South Korean FCV are unclear. We aimed to investigate the biological and genetic features of South Korean FCV isolates. Crandell-Rees feline kidney (CRFK) cells were used to isolate FCV from 58 organ homogenate samples. The FCV isolates were confirmed by cytopathic effects, immunofluorescence, electron microscopy, and reverse transcription polymerase chain reaction assays. Viral genetic analysis was carried out with VP2 gene and complete genomes of FCVs. Five viruses propagated in CRFK cells were confirmed to be FCVs. The FCV17D283 isolate showed the highest viral titer of 107.2 TCID50/mL at 36 h post-inoculation. Korean FCV isolates did not grow well in Vero, BHK-21, A72, or Madin-Darby canine kidney cells. The FCV17D03 and FCV17D283 isolates had the highest genetic similarity (80.1% and 86.9%) with the UTCVM-H1 and 14Q315 strains, which were isolated in the United States and South Korea in 1995 and 2014, respectively. We isolated five FCVs from cats and detected important genetic differences among them. FCV isolates did not show any virulent effects in mice.

• Journal of Information Processing Systems
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• v.17 no.6
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• pp.1115-1126
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• 2021

Plant disease is one of the most irritating problems for agriculture growers. Thus, timely detection of plant diseases is of high importance to practical value, and corresponding measures can be taken at the early stage of plant diseases. Therefore, numerous researchers have made unremitting efforts in plant disease identification. However, this problem was not solved effectively until the development of artificial intelligence and big data technologies, especially the wide application of deep learning models in different fields. Since the symptoms of plant diseases mainly appear visually on leaves, computer vision and machine learning technologies are effective and rapid methods for identifying various kinds of plant diseases. As one of the fruits with the highest nutritional value, apple production directly affects the quality of life, and it is important to prevent disease intrusion in advance for yield and taste. In this study, an improved deep residual network is proposed for apple leaf disease identification in a novel way, a global residual connection is added to the original residual network, and the local residual connection architecture is optimized. Including that 1,977 apple leaf disease images with three categories that are collected in this study, experimental results show that the proposed method has achieved 98.74% top-1 accuracy on the test set, outperforming the existing state-of-the-art models in apple leaf disease identification tasks, and proving the effectiveness of the proposed method.