• Korean Journal of Veterinary Service
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• v.35 no.2
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• pp.91-97
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• 2012

The strategy for infectious bursal disease (IBD) control and its success rate under field conditions depends on hygiene management, IBD field pressure, level, and variation in maternally derived IBD antibodies. This study investigated the level of IBD-specific antibody by ELISA and the prevalence of IBD virus by PCR in broilers, white-semi broilers, and Korean native chickens raised in Jeongeup, Jeonbuk. IBD-specific maternally derived antibodies were measured from 698 chickens and the mean titers of maternal antibodies were $3,572{\pm}1,402$ in broilers, $1,262{\pm}762$ in white-semi broilers, and $1,932{\pm}912$ in Korean native chickens. At 2 weeks after vaccination, the geometric mean antibody titers of broiler, white-semi broiler, and Korean native chicken were $582{\pm}427$, $3255{\pm}1,080$, and $1,023{\pm}499$, respectively. According to sequence analysis of the variable virion protein 2 gene, 4 isolates were found to be very virulent IBDV, 9 isolates classical virulent, and 2 isolates intermediate plus vaccine strain.

• Journal of Korean Society on Water Environment
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• v.27 no.3
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• pp.371-376
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• 2011

If animal disease, i.e., livestock foot-and-mouth disease, avian influenza, brings out, animals have to be disposed to prevent the virus spreading. Mainly, animals have been disposed by carcass disposal. However, If not done properly, carcass disposal can lead to environmental problems, i.e., soil and ground water pollution, etc. Therefore, various disposal methods, i.e., rendering, cremation, etc., have to be considered with burial. Also, various supplement policies are needed to prevent the animal disease. The purpose of this study was to find effective solutions for the prevention and biosecurity of animal disease.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.5
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• pp.1009-1015
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• 2017

Recently, the wide spread of IoT (Internet of Things) based technology enables the accumulation of big biometric data on livestock. The availability of big data allows the application of diverse machine learning based algorithm in the field of agriculture, which significantly enhances the productivity of farms. In this paper, we propose an abnormal livestock detection algorithm based on deep learning, which is the one of the most prominent machine learning algorithm. In our proposed scheme, the livestock are divided into two clusters which are normal and abnormal (disease) whose biometric data has different characteristics. Then a deep neural network is used to classify these two clusters based on the biometric data. By using our proposed scheme, the normal and abnormal livestock can be identified based on big biometric data, even though the detailed stochastic characteristics of biometric data are unknown, which is beneficial to prevent epidemic such as mouth-and-foot disease.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.4
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• pp.87-97
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• 2020

The livestock infections had been happened seasonally, but they have gradually changed to be irrelevant to seasons and have an aspect to rapidly spread after outbreak. Especially in Korea, proactive disinfection measures are very important because the livestock farms are located densely so high as to accelerate the spread of disease between farms. livestock disease outbreaks like HPAI and FMD occurred with high probability due to vehicles visiting the farms, this study is to evaluate the efficiency of livestock vehicle disinfection systems by investigating the disinfectant coverage according to the type of vehicle disinfection system and the type of vehicle quantitatively. In field experiments, water-sensitive papers (WSPs) were attached to 21 locations on the surface of four vehicles (sedan, SUV, truck, and feed transport), respectively, and exposed to disinfectants while the vehicle was sprayed in two vehicle disinfection systems (tunnel type and simplified type). The WSPs were scanned and image-processed to calculate the disinfectant coverage. The results showed that the tunnel-type vehicle disinfection system had a better disinfection performance with an average coverage of 90.27% for all vehicles compared to 32.62% of the simplified type system. The problem of the simplified system was a wide coefficient of variation (1.05-1.31) of the disinfectant coverage between 21 locations indicating a need for further improvement of nozzle location and arrangement.

• Korean Journal of Veterinary Service
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• v.36 no.2
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• pp.139-145
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• 2013

Porcine respiratory disease complex (PRDC) continues to be a significant economic problem to the swine industry. In order to elucidate the etiology of PRDC including porcine circovirus type 2 (PCV2), porcine reproductive and respiratory disease syndrome virus (PRRSV), swine influenza virus (SIV), Mycoplasma hyopneumoniae (MH), Pasteurella multocida (PM) and Actinobacillus pleuropneumoniae (APP) in Namwon, the 455 lung samples were randomly collected from slaughtered pigs, examined gross lesions indicative of respiratory disease of lung and classified the lung lesion according to the severity of lung lesions. Two hundred pigs lung tissues with pneumonic lesions were examined for pathogen by PCR. As a result, the numbers of pneumonic lesions were 357 (78.5%), mean pneumonic score ($mean{\pm}SD$) was $2.03{\pm}0.90$ and the highest gross lesion according to stages was 1 (11~20%). In detection of pathogens, PCV2, PRRSV, SIV, MH, APP and PM were positive in 76.5%, 5.0%, 6.0%, 9.0%, 4.5% and 6.0%, respectively and PCV2-MH was the most detected causative pathogens of PRDC in co-infection. In the serological test for PRRSV, PCV2, MH, APP2, APP5, HP and PM, showed high antibody positive rates 93% or more.

• Korean Journal of Veterinary Service
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• v.36 no.1
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• pp.61-65
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• 2013

We investigated the prevalence of infectious duck diseases using 156 ducks reared in 18 farms of western Gyeong-nam province. As a result, duck viral hepatitis (12.8%), colibacillosis (7.1%), and fungal disease (9.0%) were detected. However, avian influenza and riemerellosis were not detected. During autopsies, we could grossly observed red swollen liver (12.8%), petechial or ecchymotic hemorrhage on liver (11.5%), and fibrinous perihepatitis (9.0%). Gray-white necrotic spot (23.1%), swollen spleen (22.8%), swollen kidney (20.5%), hyperemia or hemorrhage on tracheal mucous membrane (8.3%), and nodule in long or air sac (9.0%) were also found.

• Journal of Microbiology and Biotechnology
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• v.26 no.8
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• pp.1404-1408
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• 2016

In recent years, foot-and-mouth disease has occurred in all parts of the world. The animals with the disease are buried in the ground; therefore, their concentration could affect ground or groundwater. Moreover, the complete degradation of carcasses is not a certainty, and their disposal is important to prevent humans, livestock, and the environment from being affected with the disease. The treatment of Corynebacterium glutamicum is a feasible method to reduce the risk of carcass decomposition affecting humans or the environment. Therefore, this study aimed to investigate the effect of C. glutamicum on the soil environment with a carcass. The composition of amino acids in the soil treated with C. glutamicum was generally higher than those in the untreated soil. Moreover, the plant root in the soil samples treated with C. glutamicum had 84.0% amino acids relative to the standard value and was similar to that of the control. The results of this study suggest the possibility to reduce the toxicity of a grave land containing animals with this disease.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.31-31
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• 2017

On farm evaluation for the control of airborne diseases like FMD and flu virus has been done in past but control of disease in process of transportation of livestock and manures is still needed. The objective of this study was to predict a common pattern of livestock vehicles movement. The analysis were done on GPS data, collected from drivers of livestock vehicles in Jeju Island, South Korea in year 2012 and 2013. The GPS data include the coordinates of moving vehicles according to time and dates, livestock farms and manure keeping sites. 2012 year data was added to ArcGIS and different tools were used for predicting common vehicle moving pattern. The common pattern of year 2012 were determined and considered as predicted common pattern for year 2013. To compare with actual pattern of year 2013 the same analysis was done to find the difference in 2012 and 2013 pattern. When the manure keeping sites and livestock farms were same in both years, as a result common pattern of 2012 and 2013 were similar but difference were found in patterns when the manure keeping sites and livestock farms were changed. In future for more accurate results and to predict the accurate pattern of vehicles movement, more dependent and independent variables will be required to make a suitable model for prediction.

• Journal of Environmental Impact Assessment
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• v.22 no.2
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• pp.183-194
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• 2013

The Ministry of Environment, Ministry of Agriculture, Fishery and Forestry, and Ministry of Construction, Transportation and Maritime Affairs are in charge of livestock manure management. There are national statistics regarding the livestock industry such as the National Pollution Source Survey, Livestock Statistic Survey, and Livestock-breeding Trend Survey. The current statistical data are focused on the scale of livestock breeding and the production of livestock manure using these data, but it is difficult to establish database due to lack of information. In order to plan relevant policies including management of livestock manure, the government established database systems such as the integrated information system of livestock manure, the integrated system of national infectious animal-disease prevention, and the Sae-ol public administrative system. We have tried to suggest improvements for the comprehensive environmental information system of livestock manure management by detecting problems in each level of the livestock manure life-cycle, making use of the existing systems, and considering the electronic transfer system of livestock manure. The services and functions of this comprehensive system include information of livestock farmers, the production, collection, transportation, and treatment of livestock manure, the area of agricultural land used for livestock manure, the report of approval and results on livestock manure products, management of statistical information, management of civil affairs, and relevant mobile application services. The system is made up of three processes: first, establishment of GIS-based management database of livestock manure; second, establishment of a history management system for livestock manure transactions; and third, development of a water quality assessment system.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.1
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• pp.63-72
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• 2012

In livestock industry, damage caused by the epidemic diseases such as Foot-and-Mouth Disease (FMD), Highly-Pathogenic-Avian-Influenza (HPAI) and Porcine-Reproductive-and-Respiratory-Syndrome (PRRS) was very serious. The financial loss incurred from FMD alone which occurred on Nov. 2011 in Korea was estimated at 3 billion won, 23 % of annual livestock industry production. The livestock industry in Korea has greater risk of disease infection because of high density production, etc. Investigating the spread of livestock diseases should consider both direct and indirect contact as well as other various factors including airborne. Airborne infection of livestock disease was first hypothesised in the early 1900s, however, field experimental studies are still limited. Furthermore, no protocol is available in detecting airborne viruses in the field. In this study, effective virus samplers were investigated by comparative analysis of the type of samplers used detect to airborne virus. Laboratory experiments were conducted to compare virus samplers such as Bio-sampler, Dust-sampler, Compact-Cascade-Impactor (CCI) and Microflow in detecting PRRSV. Samples were analyzed by Reverse-Transcription PCR to assess the efficiency of the instrument in detecting the airborne virus. First, samples were classified into five levels according to light intensity of gel images and then the classified results were normalized. In every case, Bio-sampler and Dust-sampler were comparable with each other and have shown to be more effective than CCI and Microflow samplers.