• Title/Summary/Keyword: Pig Monitoring

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Evaluation of the extract from lymph nodes for Salmonella monitoring in pig herds (돈군의 Salmonella 모니터링을 위한 림프절 추출액 사용에 대한 평가)

  • Jung, Byeong-Yeal;Choo, Ji-Hoon;Kim, Ji-Hun;Jung, Jae-Yun
    • Korean Journal of Veterinary Research
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    • v.46 no.2
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    • pp.119-125
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    • 2006
  • The objective of this study was to investigate the use of extract from mesenteric lymph nodes as an alternative to serum for ELISA to detect Salmonella antibodies in slaughter pigs. Among 324 slaughter pigs, 65 (20.1 %) were positive in the serum ELISA and 76 (23.5%) were positive in the ELISA with extract from lymph nodes. A total of 24 (7.4%) Salmonella representing 6 serotypes were isolated from mesenteric lymph nodes and 35 (10.8%) Salmonella belonging to 2 serotypes were also recovered from cecal contents of slaughter pig samples, respectively. The most prevalent serogroup was B (55.9% of isolates) and serotype was Typhimurium (52.5% of isolates). In the comparison of the results of between the serum ELISA and Salmonella isolation, kappa value was 0.28 with mesenteric lymph nodes and 0.37 with cecal contents, respectively. However, the extract ELISA had sensitivity of 98.5%, specificity of 95.4% and kappa value of 0.88 as compared with the serum ELISA. Because high degree of concordance between the serum ELISA and the extract ELISA was observed (P=0.24), extract from lymph nodes could be used as an alternative to serum for the detection of Salmonella antibodies in the ELISA.

Comparison of Dust Exposure Levels among Farmers with and without Feeding (사료 급이 유무에 따른 돈사 작업자의 분진 노출량 비교)

  • Paik, Jong Min;Kim, Ki Youn
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.23 no.2
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    • pp.103-107
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    • 2013
  • Objectives: The principal purpose of this study is to statistically compare dust levels among farmers with and without feeding in a nursery pig building. Methods: Total dust and respirable dust were measured by personal sampling method, and TSP and PM10 were monitored by the direct recording method in the pig building. Results: IIn the personal samples, mean exposure levels of total and respirable dust were higher among the farmers who conducted feeding compared to farmers who did not. A significant difference between farmers with feeding and farmers without feeding was found in total dust concentration(p<0.05), whereas there was no significant difference in respirable dust concentrations. In real-time monitoring of dust based on area sampling, the highest levels of total and respirable dust were detected in the feeding time periods; $4.33{\pm}2.57mg/m^3$ for TSP and $2.53{\pm}1.02mg/m^3$ for PM10, respectively. During time periods without feeding, the levels of total and respirable dust ranged from 1 to $2mg/m^3$ and from 0.5 to $1.5mg/m^3$, respectively. Conclusions: In terms of association of feeding work and air sampling location, the mean concentrations of total and respirable dust were highest in area sampling with feeding and lowest in personal sampling without feeding. However, a significant difference among groups investigated according to air sampling condition was found in total dust.

Individual Pig Detection Using Kinect Depth Information and Convolutional Neural Network (키넥트 깊이 정보와 컨볼루션 신경망을 이용한 개별 돼지의 탐지)

  • Lee, Junhee;Lee, Jonguk;Park, Daihee;Chung, Yongwha
    • The Journal of the Korea Contents Association
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    • v.18 no.2
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    • pp.1-10
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    • 2018
  • Aggression among pigs adversely affects economic returns and animal welfare in intensive pigsties. Recently, some studies have applied information technology to a livestock management system to minimize the damage resulting from such anomalies. Nonetheless, detecting each pig in a crowed pigsty is still challenging problem. In this paper, we propose a new Kinect camera and deep learning-based monitoring system for the detection of the individual pigs. The proposed system is characterized as follows. 1) The background subtraction method and depth-threshold are used to detect only standing-pigs in the Kinect-depth image. 2) The standing-pigs are detected by using YOLO (You Only Look Once) which is the fastest and most accurate model in deep learning algorithms. Our experimental results show that this method is effective for detecting individual pigs in real time in terms of both cost-effectiveness (using a low-cost Kinect depth sensor) and accuracy (average 99.40% detection accuracies).

Infection Patterns of Porcine Epidemic Diarrhea Virus (PEDV) by Sera-epidemiological Analysis in Korean Pig Farms (혈청역학적 분석을 통한 한국의 돼지 유행성 설사병 바이러스 장염양상)

  • Park, Choi-Kyu;Pak, Son-Il
    • Journal of Life Science
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    • v.19 no.9
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    • pp.1304-1308
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    • 2009
  • To investigate the infection patterns of porcine epidemic diarrhea virus (PEDV) in Korean pig farms, a total of 4,768 swine sera samples from 159 pig farms were taken twice, in June (n=82) and October (n=77) in 2007. In each farm selected for the survey, 10 samples from breeding pigs and 4 from each of the 5 age groups (30, 60, 90, 120, and 150 days) were taken, and all serum samples were tested for PEDV by the serum neutralization test. The overall seroprevalence was 62.6% (2,983/4,768), with the highest prevalence in breeding pigs (93.5%, 1,485/1,589). The prevalence showed an increasing trend with increasing age (30.8, 27.2, 44.7, 61.6, and 71.2% respectively in the 30, 60, 90, 120, and 150 days age groups) (p<0.0001 for $x^2$ trend test). The association between age and PEDV prevalence was similar in both surveys, indicating that the infection of PEDV seemed to be occurring repeatedly in the farms surveyed. This inference could also be explained by the fact that prevalence in sows was very high despite low vaccination coverage, as they are continuously exposed to PEDV in potentially infected farms for a longer period. Based on the neutralizing antibody levels in sows and growing pigs, the majority of farms (91.8%, n=146 farms) were endemically infected with PEDV, and most of pigs seemed to be intensively infected with PEDV at around early growth (41.8%) and weaning (31.5%). On the other hand, serum neutralizing antibodies were not detected in pigs older than 30 days of age in farms classified as having no PEDV infection (n=13 farms), indicating the level of maternal antibody against PEDV is decreased on a non-detectable level before the piglet is 60 days old in the field situation. The results indicated that most farms surveyed in 2007 were affected with endemic PEDV infection. Therefore, a national monitoring and control program for the endemic type PEDV infection needs further attention.

Protease Inhibitors in Porcine Colostrum: Potency Assessment and Initial Characterization

  • Zhou, Q.;He, R.G.;Li, X.;Liao, S.R.
    • Asian-Australasian Journal of Animal Sciences
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    • v.16 no.12
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    • pp.1822-1829
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    • 2003
  • Porcine colostrum and milk were separated into the acid-soluble and casein fractions by acidification followed by centrifuge. The acid-soluble fraction of porcine colostrum was further separated by liquid chromatography and anisotropic membrane filtration. Trypsin and chymotrypsin inhibitory capacity in porcine colostrum, milk and their components was determined by incubating bovine trypsin or chymotrypsin in a medium containing their corresponding substrates with or without addition of various amounts of porcine colostrum, porcine milk or their components. The inhibition of insulin-like growth factor I (IGF-I) and epidermal growth factor (EGF) degradation in pig small intestinal contents by porcine colostrum was measured by incubating iodinated IGF-I or EGF with the intestinal contents with or without addition of porcine colostrum. Degradation of labeled IGF-I or EGF was determined by monitoring the generation of radioactivity soluble in 30% trichloroacetic acid (TCA). The results showed that porcine colostrum had high levels of trypsin and chymotrypsin inhibitory activity and increased the stability of IGF-I and EGF in pig intestinal contents. The inhibitory activity declined rapidly during lactation. It was also found that trypsin and chymotrypsin inhibitory activity and the inhibition on IGF-I and EGF degradation in the acid-soluble fraction were higher than that in the casein fraction. Heat-resistance study indicated that trypsin inhibitors in porcine colostrum survived heat treatments of $100^{\circ}C$ water bath for up to 10 min, but exposure to boiling water bath for 30 min significantly decreased the inhibitory activity. Compared with the trypsin inhibitors, the chymotrypsin inhibitors were more heatsensitive. Separation of the acid-soluble fraction of porcine colostrum by liquid chromatography and anisotropic membrane filtration revealed that the trypsin and chymotrypsin inhibitory capacity was mainly due to a group of small proteins with molecular weight of 10,000-50,000. In conclusion, the present study confirmed the existence of high levels of protease inhibitors in porcine colostrum, and the inhibition of porcine colostrum on degradation of milk-borne growth factors in the pig small intestinal tract was demonstrated for the first time.

A Swine Management System for PLC baed on Integrated Image Processing Technique (통합 이미지 처리기법 기반의 PLF를 위한 Swine 관리 시스템)

  • Arellano, Guy;Cabacas, Regin;Balontong, Amem;Ra, In-Ho
    • Smart Media Journal
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    • v.3 no.1
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    • pp.16-21
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    • 2014
  • The demand for food rises proportionally as population grows. To be able to achieve sustainable supply of livestock products, efficient farm management is a necessity. With the advancement in technology it also brought innovations that could be harness in order to achieve better productivity in animal production and agriculture. Precision Livestock Farming (PLF) is a budding concept of making use of smart sensors or available devices to automatically and continuously monitor and manage livestock production. With this concept, this paper introduces a swine management system that integrates image processing technique for weight monitoring. This system captures pig images using camera, evaluate and estimate the weight base on the captured image. It is comprised of Pig Module, Breeding Module, Health and Medication Module, Weighr Module, Data Analysis Module and Report Module to help swine farm administrators better understand the performance and situation of the swine farm. This paper aims to improve the management in both small and big livestock raisers.

Bibliometric analysis on the evolution of knowledge structure of African swine fever

  • Oh, Jee-Sun;Cho, Ho-Seong;Oh, Yeonsu
    • Korean Journal of Veterinary Service
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    • v.44 no.4
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    • pp.257-270
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    • 2021
  • Since African swine fever (ASF) spread to East Asia, a fatal crisis has occurred in the global pig industry, because Asia is dominant in pig production. Although some studies conducted bibliometric analysis on ASF, few studies compared research networks, and identified subthemes by major keywords. To fill this gap, this study identified the knowledge structure network of the research, its influence, and core research themes by utilizing the bibliometric analysis of 337 ASF-related journal articles over 50 years from 1970 to 2020 on the Web of Science. The result indicated that papers are mainly published in the fields of veterinary science, virology, microbiology, infectious disease and applied microbiology, and in particular, the fields of veterinary science and virology showed unrivaled weights as they account for 73.40%. With regard to cooperative relationships, European countries such as the UK, Germany, Italy, and Denmark, centered on Spain, are actively contributing to the ASF research. China, France, Thailand, Japan, Vietnam, and South Korea are leading research cooperation, centering on the United States. In the early stage of the studies, major keywords appeared to be related to outbreaks, quarantine and diagnosis, and in the middle stage, the keywords were expanded to a wide range of pig diseases. Recently, the keywords are becoming more diverse towards antibodies, cross-border transmission and disease monitoring. Based on data on major keywords related to ASF, this study proposed discussions and implications for activating ASF research including genotype, protein, vaccine, diagnosis, defense against infection and epidemiological investigation.

Detection and Classification of Porcine Endogenous Retroviruses by Polymerase Chain Reaction (중합효소 연쇄반응을 이용한 돼지 내인성 레트로 바이러스의 검출과 분류)

  • Lee, D.H.;Lee, J.E.;Kim, H.M.;Kim, G.W.;Park, H.Y.;Kim, Young-Bong
    • Journal of Animal Science and Technology
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    • v.49 no.3
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    • pp.405-414
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    • 2007
  • Pigs have been considered as an ideal source of donor organs because of their plentiful supply and their numerous anatomical and physiological similarities to the human in xenotransplantation. However, for the public health risks associated with the potential for porcine endogenous retrovirus(PERV) infection through xenograft from pig to human, the investigation of methods for elimination and/or control of PERV has been required. In this study we developed the detection and classification methods for PERV based on PCR using specific primers. PERV-A and PERV-B were found in all pigs including Berkshire, Duroc, Landrace, Yorkshire, miniature pig, and Korean native black pig from Jeju by PCR with type-specific primers for PERV. However, PERV-C was detected only from Duroc, miniature pig, and Korean native black pig from Jeju. PERV-A and PERV-B could be distinguished by PCR-RFLP with BamHI. These methods for PERV will be useful in rapid screening of safe organ for xenograft, furthermore, helpful in monitoring of PERV during and after xenotransplantation.

The Use of Multilevel Model to Evaluate the Risk Factors for Porcine Reproductive and Respiratory Syndrome in Swine Herds (다층모형을 이용한 국내 양돈농가의 돼지생식기호흡기증후군 위험요인 분석)

  • Kim, Eu-Tteum;Lee, Kyoung-Ki;Kim, Seong-Hee;Pak, Son-Il
    • Journal of Veterinary Clinics
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    • v.34 no.2
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    • pp.140-145
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    • 2017
  • The goal of this study was to investigate risk factors associated with porcine reproductive and respiratory syndrome (PRRS) in pig farms in the Republic of Korea using logistic regression and a multilevel model. A cross-sectional study was applied to 305 pig farms with a questionnaire-based interview by veterinarians between March 2014 and February 2015. The questionnaire comprised eight categories: proximity to neighbors, disinfection, visitors, vehicles, insecticides, wild animals, gilts, and feeding. In total, 61 questions in eight categories related to pig farm biosecurity were investigated. Farms were classified as PRRS stable or unstable based on the results of an antibody test and PCR. For univariate analysis, keeping production records with computers (OR = 0.283, 95% CI = 0.056 - 1.425), accredited farm with no use of antibiotics (OR = 0.412, 95% CI = 0.134 - 1.269), reviewing health record of semen prior to purchasing (OR = 0.492, 95% CI = 0.152 - 1.589), complete isolation of runt pigs (OR = 0.264, 95% CI = 0.084 - 0.829), compulsory registering for visitors (OR = 0.424, 95% CI = 0.111 - 1.612), keeping records of insecticide history (OR = 0.406, 95% CI = 0.089 - 1.846), routine on-farm monitoring by veterinarians (OR = 0.314, 95% CI = 0.069 - 1.423), and use of on-farm checklist for biosecurity monitoring (OR = 0.313, 95% CI = 0.063 - 1.553) were found to decrease the probability of PRRS infection. Multivariate and multilevel analysis revealed only two factors, complete isolation of runt pigs (OR = 0.165, 95% CI = 0.045 - 0.602 and OR = 0.208, 95% CI = 0.055 - 0.782) and compulsory registering for visitors (OR = 0.106, 95% CI = 0.017 - 0.655 and OR = 0.119, 95% CI = 0.017 - 0.809) were found to decrease the probability of PRRS infection. The intracluster correlation coefficient of a province for multilevel model was 0.05. The results of this study might facilitate biosecurity measures for individual farms to reduce the probability of PRRS infection.

An Investigation of Emission of Particulate Matters and Ammonia in Comparison with Animal Activity in Swine Barns (양돈사 내 동물 활동도에 따른 암모니아 및 미세먼지 배출농도 특성 분석)

  • Park, Jinseon;Jeong, Hanna;Lee, Se Yeon;Choi, Lak Yeong;Hong, Se-woon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.6
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    • pp.117-129
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    • 2021
  • The movement of animals is one of the primary factors that influence the variation of livestock emissions. This study evaluated the relationship between animal activity and three major emissions, PM10, PM2.5, and ammonia gas, in weaning, growing, and fattening pig houses through continuous monitoring of the animal activity. The movement score of animals was quantified by the developed image analysis algorithm using 10-second video clips taken in the pig houses. The calculated movement scores were validated by comparison with six activity levels graded by an expert group. A comparison between PMs measurement and the movement scores demonstrated that an increase of the PMs concentrations was obviously followed by increased movement scores, for example, when feeding started. The PM10 concentrations were more affected by the animal activity compared to the PM2.5 concentrations, which were related to the inflow of external PM2.5 due to ventilation. The PM10 concentrations in the fattening house were 1.3 times higher than those in the weaning house because of the size of pigs while weaning pigs were more active and moved frequently compared to fattening pigs showing 2.45 times higher movement scores. The results also indicated that indoor ammonia concentration was not significantly influenced by animal activity. This study is significant in the sense that it could provide realistic emission factors of pig farms considering animal's daily activity levels if further monitoring is carried out continuously.