As a series of studies to develop pest management system for sweet persimmon production matched with the quarantine criterion of sweet persimmon-imported county, a survey was conducted by questionnaire on pest management practice and scheme of increasing income in sweet persimmon farms in Korea. Above 80% of sweet persimmon farmers was over fifties in age. The greatest limiting factor for sweet persimmon production was thought to be disease by the farmers. Percentage of farmers who answered that the most important pest is anthracnose cause by Gloeosporium kaki, and stink bugs was 64.6% and 73.5%, respectively. In particular, the farmers did not consider Dichocrocis punctiferalis, a main targer insect for quarantine in USA, as serious problem. Obtaining information on pest management practice or decision-making on both selection of pesticide and time of pesticide application depended highly on their own experience with the highest proportion. Eight to nine times of pesticide applications a year was highest among farms with 56.6%. More than 80% of farmers recorded the diary of pesticide application. farmers considered increasing cost for pest management as the greatest problem with 35.4% in proportion, and 34.5% of farmers pointed out that increase in export is essential for increasing farm income with highest proportion.
Yoo, Mi-Na;Jang, Ki-Jung;Hwang, Jung-Hoon;Park, Yong-Ha;Ro, Tae Ho
Journal of Environmental Policy
/
v.13
no.4
/
pp.135-159
/
2014
Industrial insect is defined as the insect utilized in industries that creates added value. Most of the industrial insects used in Korea are exotic species that are introduced through artificial means. Despite the rapid expansion of market for industrial insects, the system for risk assessment of industrial insects is not being adequately conducted. Although Korea carries out a risk assessment for the species designated as disease and insect pest by Animal and Plant Quarantine Agency, far too little consideration is being given to overall ecosystem, as the control system is covered in the Plant Quarantine Law. To solve this problem, we analyzed the Korean risk assessment system and looked at systems in other countries. The results show that it is essential for stakeholders to reach an agreement to set up fundamental directions for the system. Unless the integration system of taxonomical and ecological information is prepared, the ecological risk assessment should be conservative to protect ecosystems and should also follow the precautionary principle. It also requires cooperation among the ministries. In addition, the results indicated that a differentiation between risk assessment and screening is urgent. Several solutions such as setting up clear objectives in both assessment and screening stages, target species, steering organization and assessment criteria assessment systems from were proposed as practical institutional strategies. Among many foreign countries the assessment system from Ireland equally considers various factors such as economical, ecological safety and management aspects, It is also based on precautionary principle to fulfil its original purpose. It was suggested that the Ireland system would be the best reference that can be modified and applied into the Korean system by considering distinct characteristics of the industrial insects.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.6
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pp.137-146
/
2018
The purpose of this study was to derive and analyze the hub facilities that occupy major positions in the vehicle movement networks of livestock facilities. For this purpose, this study used the KAHIS data provided by Animal and Plant Quarantine Agency. The hub facilities were derived from the degree centrality & betweenness centrality. The analysis results are summarized as follows. First, in a livestock facility's vehicle movement network, there are a small number of hub facilities with very high centrality indicator values compared to other facilities. Second, the hub facilities based on the degree centrality are the feed factory, the milk collecting center, slaughterhouse, slaughterhouse for chicken, and livestock markets. Third, the hub facilities based on the betweenness centrality are the livestock markets, the feed factory, and slaughterhouse. Fourth, hub facilities based on the degree centrality are concentrated in a particular area, but the hub facilities based on betweenness centrality are distributed relatively evenly.
Journal of the Korea Institute of Building Construction
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v.22
no.1
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pp.91-102
/
2022
Many industries are being severely damaged by COVID-19, a respiratory infection that has recently been prevalent around the world. In particular, for workers in the construction industry, it is impossible to work from home, and if an outbreak on a construction site is confirmed, it can lead to great damage. Accordingly, the government has drafted 「Guidelines for Response to Construction Sites for Prevention and Spread of COVID-19」. In addition, domestic and foreign research about COVID-19 in the field of construction sites is being actively conducted. However, Korea has lacked studies on the effectiveness of the countermeasures in place at construction sites, or that reflect the opinions of construction site workers. Therefore, this study conducted a survey of construction site workers by dividing the construction of the COVID-19 quarantine management system and response plan into on-site management and social management. Through the AHP/IPA analysis, it was found that among social management, 'infectious disease management system and cooperation system with related institutions' and 'reduction of working hours' are areas with high importance but low satisfaction. After that, the causes of the two items were analyzed and related countermeasures were suggested. The results of this study will be able to contribute to the improvement of the quarantine management system and response plan at construction sites, and to minimize the damage to the construction industry related to COVID-19.
Avian paramyxovirus (APMV) type 4 and 6 were isolated during an avian influenza (AI) surveillance program of wild birds. This study also conducted experimental infection of wild-bird-origin APMV type 4 and 6 in specific pathogen free (SPF) chickens to study pathogenicity and transmission within domestic flocks. In addition, serological prevalence data of APMV type 4 and 6 in domestic fowls was conducted with chicken sera collected from 2007 to 2009 in order to understand infection status. The results of the animal experiment showed that APMV type 4 and 6 had the ability to infect chickens with sero-conversion and to transmit the virus from infected birds to contacted birds, but showed low pathogenicity. Serological tests revealed that APMV type 4 was widespread in the poultry industry, especially in layer flocks, but the positive rate for APMV type 6 was very low. This study concluded that wild bird-origin APMV type 4 and 6 could infect the chickens by inter-species transmission and the seroprevalence of APMV type 4 was quite high in Korean poultry. However, since almost all the chicken flocks had a high level of antibody titer against APMV type 1, there was possibility of cross reaction between APMV type 1 and 4, which made the interpretations more complicated. In order to understand infection status in the natural environment, additional study is necessary regarding the seroprevalence of APMV type 4 and 6 in the wild bird population.
Journal of the Korean Data and Information Science Society
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v.25
no.2
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pp.271-280
/
2014
Foot-and-mouth Disease (FMD) is a highly infectious and fatal viral livestock disease that affects cloven-hoofed animals domestic and wild and the FMD outbreak in Korea in 2010/2011 was a disastrous incident for the country and the economy. Thus, efforts at the national level are put to prevent foot-and-mouth disease and to reduce the damage in the case of outbreak. As one of these efforts, it is useful to study the spread of the disease by using probabilistic model. In fact, after the FMD epidemic in the UK occurred in 2001, many studies have been carried on the spread of the disease using a variety of stochastic models as an effort to prepare future outbreak of FMD. However, for the FMD outbreak in Korea occurred in 2010/2011, there are few study by utilizing probabilistic model. This paper assumes a stochastic spatial-temporal susceptible-infectious-removed (SIR) epidemic model for the 2010/2011 FMD outbreak to understand spread of the disease. Since data on infections of FMD disease during 2010/2011 outbreak of Aniaml and Plant Quarantine Agency and on the livestock farms from the nationwide census in 2011 of Statistics Korea do not have detail informations on address or missing values, we generate detail information on address by randomly allocating farms within corresponding Si/Gun area. The kernel function is estimated using the infection data and by using simulations, the susceptibility and transmission of the spatial-temporal stochastic SIR models are determined.
High levels of inflammatory cytokines were proposed contributors to the pathogenesis of a various inflammatory skin disorders. Therefore, investigating the immune response of the inflammatory skin disorder allows a better understanding of pathogenesis of a various inflammatory skin disorders and therapeutic approaches. The aim of this study was to analyze of the immune response in dogs with chronic inflammatory skin disease. To this aim, the present study evaluated relative mRNA expression of canine $IFN-{\gamma}$, IL-4, $TGF-{\beta}$ and IL-10 using TaqMan realtime PCR assays and semi-quantitative RT-PCR in freshly isolated peripheral blood mononuclear cells from twenty dogs with chronic inflammatory skin disease and ten normal dogs. The relative mRNA expression levels of IL-4 mRNA were significantly higher in dogs with chronic inflammatory skin disease than those in normal dogs (P < 0.01). The results of present study also showed a tendency towards increased expression of IL-10 transcripts in dogs with chronic inflammatory skin disease. However, there were no significant differences in the levels $IFN-{\gamma},\;TGF-{\beta}$ between normal and chronically inflammed dogs. In addition, the concentration of serum IgE was significantly increased in dogs with chronic inflammatory skin disease compared with those in normal dogs (P < 0.01). In histopathological examination, we found that there were markedly increased mast cell counts in chronically inflammed dogs (P < 0.05). These results suggest that the pathogenesis of chronic inflammatory skin disease might be associated with a T-cell mediated inflammatory responses characterized by a Th2-skewed immune response. Based on these results, the modulation of Th1/Th2 balance may be an effective therapeutic strategy for the treatment of chronic inflammatory skin disease.
For determining the prevalence of major enteric pathogens, clinical examination and etiological diagnosis were carried out on 75 Korean pig farms. Enteric disease-suspected signs were observed in 90.7% of the farms and the incidence and severity were higher in younger age groups of the pigs. Five of seven pathogens were detected in 375 fecal samples collected from the 75 farms, and the farm-level prevalence of porcine rotavirus group A (PoRVA), pathogenic Escherichia (E.) coli, Lawsonia (L.) intracelluraris, Salmonella spp., and Brachyspira (B.) hyodysenteriae was 54.7%, 54.7%, 16.0%, 10.7% and 2.7%, respectively. PoRVA was extensively infected in suckling and weaning pig groups. The prevalence of pathogenic E. coli was highest in suckling period, and after the period, it exhibited a tendency to decrease. Salmonella spp. and L. intracelluraris were detected in all feeding groups of pigs in a ratio of 1.3~6.7%. B. hyodysenteriae was detected in 1.3~2.7% of growing and fattening pig groups but not detected in suckling and weaning pig groups. At least one or more pathogens were detected in 30.1% of 375 fecal samples. Among these, 25.0% or 5.1% of cases were single or mixed infection. Enteric disease signs of the pigs were significantly co-related with the detection of PoRVA, pathogenic E. coli or Salmonella spp. (P<0.01) but not with L. intracelluraris or B. hyodysenteriae (P>0.05). Conclusively, it will be expected that these data obtained in this study are very useful for subsequent studies and prevention strategies for swine enteric disease in Korean pig farms.
Kim, Sung Hyun;Choi, Joon Ki;Kim, Jae Seok;Jang, Ah Reum;Lee, Jae Ho;Cha, Kyung Jin;Lee, Sang Won
Journal of Intelligence and Information Systems
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v.24
no.4
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pp.137-154
/
2018
Animal infectious diseases, such as avian influenza and foot and mouth disease, occur almost every year and cause huge economic and social damage to the country. In order to prevent this, the anti-quarantine authorities have tried various human and material endeavors, but the infectious diseases have continued to occur. Avian influenza is known to be developed in 1878 and it rose as a national issue due to its high lethality. Food and mouth disease is considered as most critical animal infectious disease internationally. In a nation where this disease has not been spread, food and mouth disease is recognized as economic disease or political disease because it restricts international trade by making it complex to import processed and non-processed live stock, and also quarantine is costly. In a society where whole nation is connected by zone of life, there is no way to prevent the spread of infectious disease fully. Hence, there is a need to be aware of occurrence of the disease and to take action before it is distributed. Epidemiological investigation on definite diagnosis target is implemented and measures are taken to prevent the spread of disease according to the investigation results, simultaneously with the confirmation of both human infectious disease and animal infectious disease. The foundation of epidemiological investigation is figuring out to where one has been, and whom he or she has met. In a data perspective, this can be defined as an action taken to predict the cause of disease outbreak, outbreak location, and future infection, by collecting and analyzing geographic data and relation data. Recently, an attempt has been made to develop a prediction model of infectious disease by using Big Data and deep learning technology, but there is no active research on model building studies and case reports. KT and the Ministry of Science and ICT have been carrying out big data projects since 2014 as part of national R &D projects to analyze and predict the route of livestock related vehicles. To prevent animal infectious diseases, the researchers first developed a prediction model based on a regression analysis using vehicle movement data. After that, more accurate prediction model was constructed using machine learning algorithms such as Logistic Regression, Lasso, Support Vector Machine and Random Forest. In particular, the prediction model for 2017 added the risk of diffusion to the facilities, and the performance of the model was improved by considering the hyper-parameters of the modeling in various ways. Confusion Matrix and ROC Curve show that the model constructed in 2017 is superior to the machine learning model. The difference between the2016 model and the 2017 model is that visiting information on facilities such as feed factory and slaughter house, and information on bird livestock, which was limited to chicken and duck but now expanded to goose and quail, has been used for analysis in the later model. In addition, an explanation of the results was added to help the authorities in making decisions and to establish a basis for persuading stakeholders in 2017. This study reports an animal infectious disease prevention system which is constructed on the basis of hazardous vehicle movement, farm and environment Big Data. The significance of this study is that it describes the evolution process of the prediction model using Big Data which is used in the field and the model is expected to be more complete if the form of viruses is put into consideration. This will contribute to data utilization and analysis model development in related field. In addition, we expect that the system constructed in this study will provide more preventive and effective prevention.
Kim, Jung-Bae;Kim, Nam-Kyu;Lim, Jin-Ha;Kim, Sun-Ick;Kim, Hyun-Ho;Song, Jeong-Young;Kim, Hong-Gi
Research in Plant Disease
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v.15
no.3
/
pp.236-241
/
2009
The objective of this study was to find an environment friendly method of ginseng storage disease control using a natural plant extract. Essential oil was evaluated in terms of its antifungal ability against a variety of ginseng storage pathogens, and a variety of essential oils was conducted in order to assess the possibility of applying them as a component of a disease control strategy. Direct treatment with essential oil was demonstrated to exert a ginseng storage control effect. Methyl eugenol and thymol were shown to exert a mycelial growth inhibition effect of 80% on PDA media, using a paper disc containing 200 ppm of essential oil against Botrytis cinerea. The application of direct methyl eugenol treatment to ginseng resulted in a profound control effect. Both spray and dipping treatment of each methyl eugenol as well as thymol, evidenced a disease develoment of 10-20% as compared with the over 80% observed from all non-treated packages. Methyl eugenol in the large packages resulted in a disease index of 0.60 in the two essential oil treatments and also a small diseased area, as compared with the disease index of 1.65 and the wide diseased area observed in the non-treatment groups. Treatment with a mixture (methyl eugenol + thymol) in the synergistic effect test resulted in a relatively wide diseased area, as no discernable synergistic effect was detected. Methyl eugenol and thymol can be utilized as control agents in an environmentally friendly ginseng storage treatment, owing to the avirulent and clear effects detected in this study. In particular, ginseng must be ingested when fresh, and this is why a product for the control of ginseng storage diseases is so necessary.
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