This study examined the spatial autocorrelation of the 2016 foot and mouth disease (FMD) outbreaks in South Chungcheong to determine the association between the disease epidemics and pig farm vehicle movements. Two spatial autocorrelation testing methods were used: Moran’s I and Getis-Ord G statistics. The Moran’s I statistic for the FMD outbreak areas was -0.239, and its p-value was less than 0.007. The median Getis-Ord G statistic for the FMD outbreak areas was -0.323. The results indicated that the geographical distribution of the FMD outbreak areas was not spatially homogeneous. The spatial autocorrelation of the 2016 FMD epidemics was considered by applying a geographical weighted Poisson regression (GWPR) model in the analysis, in which pig farm vehicle movements were used as risk factors for the 2016 FMD epidemics. The number of FMD-infected farms per second-level administrative province (si or gun) was used as a dependent variable. The number of farm vehicle movements within the province (within variable), from one province to other provinces (outbound variable), or from other provinces to one province (inbound variable), were included as independent variables in the GWPR model. The results of the GWPR model were as follows. The estimated median coefficient of the log-transformed within variable, the log-transformed outbound variable, and log-transformed inbound variable were -0.000, 0.010, and -0.009, respectively. The optimal bandwidth for the GWPR model was 80.49, and the AIC score was 89.35. The results showed that the GWPR model would provide an understanding of the relationship between the 2016 FMD epidemics and pig farm vehicle movements

Since the first HPAI epidemics in 2003, there has been little epidemiological research on the association between HPAI epidemics and vehicle movements around poultry farms. This study examined the relationship between vehicle movements around poultry farms and the 2014/15 HPAI epidemics in the Republic of Korea using two methods: a boosted regression trees (BRT) model and logistic regression of a generalized linear model (GLM). The BRT model considers the non-linearity association between the frequency of vehicle movements around poultry farms and the HPAI outbreak status per province using a machine learning technique. In contrast, a GLM assesses the relationship based on the traditional frequentist method. Among the three types of vehicle movements (outbound, inbound, and within), only the outbound was found to be a risk factor of the 2014/15 HPAI epidemics according to both the BRT model and multivariate logistic regression of GLM. In the BRT model results, the median relative contribution of the log-transformed outbound variable was 53.68 (range: 39.99 – 67.58) in the 2014 epidemics and 49.79 (range: 33.90 – 56.38) in the 2015 epidemics. In the GLM results, the odds ratio of the log-transformed outbound variable was 1.22 for the 2014 HPAI epidemics (p < 0.001) and 2.48 for the 2015 HPAI epidemics (p < 0.001), respectively. The results indicated that intensive disinfection measures on outbound movement were needed to reduce the risk of HPAI spread. The current BRT models are suitable for risk analysis because the median area under the receiver operating characteristic curve was 0.83 (range: 0.74 – 0.91) and 0.85 (range: 0.73 – 0.87) for the 2014 and 2015 epidemics models, respectively. The Akaike information criterion scores for the multivariate logistic regression of GLM were 150.27 and 78.21 for the 2014 and 2015 epidemics models, respectively. These scores were relatively lower than those from the univariate logistic regression of GLM.

본 논문에서는 농장동물을 활용한 동물매개치료 문헌연구를 통해 프로그램 적용 사례를 살펴보고, 관련 연구와 활동에 필요한 자료는 제공하고자 한다. 국내외 농장동물을 활용한 동물매개치료 연구를 보면 반려동물을 매개로 한 동물매개 치료와 마찬가지로 우울 감소, 불안감소, 사회성 향상 검증되었고, 특히 정신 질환이나 자 폐 같은 다양한 정신문제에 긍정적인 효과가 검증되었다. 하지만 과학적인 연구가 아직 부족한 실정으로 대상자와 대상 질환에 맞는 농장동물매개치료 프로그램의 개발연구가 필요하다.

The purpose of this study is to analyze consumer preference for fish farm HACCP certification using conjoint analysis. This study used raw flatfish product to evaluate the fish farm HACCP. In this study, 500 consumers were surveyed using panel survey and stratified sampling. In the recognition analysis, the farm HACCP certification system was found to be highly recognized by consumers. It can be seen that the brand assets accumulated by existing food and agricultural HACCP certification were transfered to the fish farm HACCP and absorbed. Consumers perceived fish farm HACCP certification as similar one with existing food and agricultural HACCP. Conjoint analysis evaluated three levels factors. The attributes and levels evaluated were : price(25,800 won, 28,400 won, 31,000 won), certification(fish farm HACCP, seafood traceability, and non certified), and origin(domestic, JEJU, and WANDO). The important levels were in order of price(40.8%), certification(30.2%) and origin(29.0%). We found that consumers give higher utility to fish farm HACCP certification compared with non certified and seafood traceability certification. Market simulation results showed that the fish farm HACCP product has 12%p higher market share than non certified products. Seafood traceability certification showed 4.6%p higher market share than non certified products.

The experiment was undertaken to measure the potential impact of animal welfare on the pork quality under two different farming systems: C1 and C2, two conventional farms; W, an animal welfare farm. Ten pigs (Landrace × Yorkshire × Duroc) of live weight 110 kg were randomly selected from each treatment, and slaughtered under uniform conditions. The left loins were collected, and subsequently analyzed for proximate composition, meat quality traits, fatty acids, free amino acids, and antioxidative dipeptides. Pork from the welfare farm (W) had greater back-fat depth and fat content, but the values were not significantly different from C1 or C2. The W loins had significantly lower moisture contents and pH values compared to C1 or C2. The C2 loins showed highest contents of unsaturated fatty acids, whereas C1 had higher polyunsaturated fatty acids as compared to W. The treatments did not show any significant differences in the contents of free aspartic acid. Anserine (an antioxidant dipeptide) from the W loins was significantly lower than that from the conventional farms. The results indicate that pork quality characteristics from animal welfare-farmed pigs were not different from those of conventional farms. Therefore, it would be appropriate to evaluate the industrial value of animal welfare livestock only at the stage of pig production, rather than the meat quality of pork.

The goal of the current study was to estimate the contribution of poultry farm vehicle movement frequency to the 2014 highly pathogenic avian influenza (HPAI) epidemic using both global and local regression models. On one hand, the global model did not consider the hypothesis that a relationship between predictors and the outcome variable might vary across the country (spatially homogeneous), while on the other hand, the local model considered that there was spatial heterogeneity within the country. The HPAI outbreak status in each province was used as a dependent variable and the number of poultry farm vehicle movements within each province (within variable), the number of poultry farm vehicle movement from one province to another province (outbound variable), the number of poultry farm vehicle movements from other provinces to one province (inbound variable), and the number of poultry farms in each province were included in the model as independent variables. The results of a global model were as follows: estimated coefficient of the log-transformed within variable was 0.73, that of the log-transformed outbound variable was 2.04, that of the log-transformed inbound variable was 0.74, and that of the number of poultry farms was 1.08. Only the number of poultry farms was a statistically significant variable (p-value < 0.001). The AIC score of the global model was 1397.5. The results of the local model were as follows: estimated median coefficient of the log-transformed within variable was 0.75, that of the log-transformed outbound variable was 2.54, that of the log-transformed inbound variable was 0.60, and that of the number of poultry farms was 0.07. The local model’s AIC score was 1382.2. The results of our study indicate that a local model would provide a better understanding of the relationship between HPAI outbreak status and poultry farm vehicle movements than that provided by a global model.

The goal of the current study was to explore the relationship between vehicle movement frequency and a disease outbreak by using the example of the highly pathogenic avian influenza (HPAI) outbreak in 2014 in the Republic of Korea. To explore the relationship between the HPAI outbreak status of Korean provinces and vehicle movements, both an ordinary least square model (OLS) and a maximum entropy model (MaxEnt) were built. The HPAI outbreak status of each province was used as a dependent variable. The number of poultry farm vehicle movements within the province (within variable), the number of poultry farm vehicle movements from one province to another province (outbound variable), the number of poultry farm vehicle movements from other provinces to one province (inbound variable), and the number of poultry farms in each province were included in the models as independent variables. Results of the OLS model were as follows: the estimated coefficient of the log-transformed within variable was -0.30, that of the log-transformed outbound variable was 0.71, that of the log-transformed inbound variable was -0.30, and that of the number of poultry farms was 0.07; however, only the number of poultry farms per province was statistically significant. Results of the MaxEnt model were as follows: the median relative contribution of the log-transformed outbound variable was 52.0 (range: 12.2–83.9), that of the log-transformed inbound variable was 34.4 (range: 8.8–83.4), that of the log-transformed within variable was 3.7 (range: 1.8–7.3), and that of the number of poultry farms per province was 0.7 (range: 0.0–11.7). The area under the receiver operating characteristics curve was 0.683. The results of current study should be helpful for planning a national HPAI surveillance program to locate surveillance resources with the consideration of risk level of provinces.

본 연구는 병재배 팽이버섯 ‘치쿠마쉬 T-011’의 정밀재배를 위한 최적 생육모델 개발하기 위하여 팽이버섯 병재배 농가를 대상으로 스마트팜 기술을 적용하여 생육환경을 분석한 결과를 보고하고자 한다. 실험농가의 균상면적은 60 m 2 , 균상형태는 4열 13단, 냉동기는 20마력, 단열은 샌드위치 판넬 100 T, 가습dms 초음파 가습기 6대, 난방은 12 kW를 사용하였고, 20,000병을 입병하여 재배하고 있었다. 팽이버섯 재배농가에서 생육환경 데이터를 수집하기 위하여 설치한 환경센서부로부터 버섯의 생육에 직접적으로 영향을 미치는 온도, 습도, CO2농도를 수집 분석하였다. 온도는 발이단계에서 배양이 완료된 병을 균 긁기한 후 입상 시 14.5oC에서 시작하여 10일차까지 14~15oC를 유지하였고, 억제단계에서는 4oC에서 시작하여 15일차까지 2~3oC를 유지하였다. 생육단계에서는 7.5~9.5oC를 유지하면서 버섯을 수확하였다. 습도는 균긁 기한 후 입상 시 거의 100%에 가까웠고, 팽이버섯 발생 단계에서 습도는 88∼98%의 범위를 유지하였고, 억제단 계에서는 77~96%, 생육단계에서는 75~83% 범위를 유지 하였다. CO2농도는 발생단계에서 입상 시 3,500 ppm에서 시작하여 10일차까지는 3,500~6,000 ppm을 유지하였고, 억제단계에서는 6,000 ppm 수준이었으며 생육단계에서는 6,000 ppm 이상을 유지하였다. 농가에 재배하고 있는 ‘치쿠마쉬티-011’의 자실체 특성은 갓 직경 7.5 mm, 갓 두께 4.1 mm이며, 대 굵기 3.3 mm, 대 길이 154.2 mm 였다. 병 당 유효경수는 1,048개, 개체중은 0.71 g/unit이었으며 수량은 402.8 g/1,400 ml로 나타났다.

신재생 에너지 자원중 풍력발전은 비약적인 기술 발전과 시장 규모가 급속하게 성장하고 있다. 최근 육상풍력발전단지의 공간적 한계, 환경 문제 등으로 인하여 설치 공간이 해상으로 이동되었고, 더욱 풍부한 풍황 조건을 가진 깊은 수심에 설치되는 부유식 해상 풍력단지의 개발이 활발하게 진행되고 있다. 해상교통관점에서 해상풍력단지의 최적위치 선정은 선박과 풍력기들의 간섭을 최소화 하고 사고 확률이 적은 곳이며, 선박 밀집도가 낮은 해역이 최적위치로 선정된다. 본 연구에서는 유전 알고리즘 기반의 계절별 1주일 기간 선박자동식별장치 데이터를 유전자 및 염색체로 구성하였다. 80개의 유전자로 구성하고 유전 알고리즘의 적합도 평가를 거쳐 부유식 해상 풍력단지의 계절별 최적위치를 선정하였다. 더 나아가 계절별 최적위치 점수를 합산하여 최종 최적위치를 선정하였다. 분석 해역에서 최적위치는 11개로 나타났으며, 해상교통관점에서 유전 알고리즘을 통한 최적위치 선정이 적용 가능함을 확인하였다.

서남해 해상풍력발전단지 내 선박 통항 금지와 조업 제한으로 인해 사업자와 어민간의 갈등이 심화되고 있다. 이러한 문제 해결을 위하여 국내에서도 유럽의 해상풍력발전단지와 같이 발전단지 내 선박 통항과 어로작업 허용을 검토하고 있다. 이 연구는 서남해 해상풍력발전단지 내 선박 통항을 가정하여 항로의 형태에 따른 해상교통위험도 발생비율을 ES 모델과 IWRAP을 이용하여 분석하였다. 또한, 항로의 형태(십자형 항로 및 격자형 항로)와 선박 통항량(현재, 3배, 5배, 10배)에 변화를 주어 위험도를 정량적으로 평가하였다. 주요 평가결과는 다음과 같다. 현재의 교통량에서 십자형 항로와 격자형 항로를 운영할 경우 조선부담감(종합환경스트레스치가 750 이상)이 높은 구간은 발생하지 않았으며, 연간 충돌확률도 큰 차이가 발생하지 않았다. 그러나 통항량이 현재보다 3배, 5배, 10배 증가함에 따라 교차지점에서 조선부담감과 연간 충돌확률이 급격히 증가함을 확인하였으며, 이를 통해 격자형 항로에서 교통류 분리를 통해 위험도를 효과적으로 분산시킬 수 있다는 것을 알 수 있었다. 본 연구의 결과는 서남해 해상풍력발전단지 내에서 항로설정, 항로운영방식, 안전대책 등에 활용이 가능할 것으로 기대된다.