본 연구는 우리나라에서 수수-수단그라스 교잡종 (sorghum bicolor L.: SSH)에 대해 극단기상과 정상기상 간 생산량을 비교할 목적으로 수행하였다. SSH 데이터 (n=1,025)는 농촌진흥청의 신품종 적응성 실험보고서(1979 ―2019)로부터 수집하였다. 기상자료는 기상청으로부터 평균기온, 최저기온, 최고기온, 최대 강수량, 누적 강수량, 최대풍속, 평균풍속 및 일조시간을 10일 기준으로 계산하 여 수집하였다. 극단기상과 정상기상 간 구별을 위해 상 자 그림을 이용하여 탐색하였다. 극단기상과 정상기상 간 생산량 차이는 5% 유의수준 하에서 t-검정 및 ANOVA를 통해 확인하였다. 그 결과, 극단기상은 극단적으로 강한 바람을 동반한 봄 가뭄, 극단적으로 높은 강우량을 기록 하는 여름장마와 가을장마가 두드러졌다. 예측 생산량 피 해(kg/ha)는 각각 1,961―6,541, 2,161―4,526 및 508― 5,582로 나타났다. 본 연구는 우리나라의 SSH에 대한 취 약성 및 피해 산정에 도움이 되는 기초자료로서 극단기상 과 정상기상 사이의 생산량 차이를 확인하는 데 의의가 있다.

돼지의 체세포 핵이식(Somatic cell nuclear transfer,SCNT)은 인간에게 약리적 효과가 있는 단백질, 이종 간 장기이식(xenotransplantation)에 사용되는 장기, 질병 연 구 목적의 모델 동물을 제공한다. 특히 형질전환 돼지를 활용한 심장 이식이 세계 최초로 성공한 후 형질전환 돼 지 생산의 안정화는 다음 연구를 위한 중요한 점으로 대 두되고 있으나, 미니돼지의 체세포 핵이식 배아의 생산 효율은 아직 낮은 실정이다. 형질전환의 성공은 양질의 SCNT 배아 생산에서 시작되어야 한다. 이러한 SCNT 배 아의 생산 효율을 향상할 수 있는 요인 중에는 공여 세포 의 형태가 있으며, 성공적인 공여 세포의 생산을 위해서 는 종축에 따른 세포의 특성을 파악하여야 하고, 혈액형 의 차이에서 발생하는 문제점 해결을 위해 OO 타입의 선 별이 필요하다. 본 연구에서는 지속적인 계대 배양을 통 하여 공여 세포로 사용되는 미니돼지의 태아섬유아세포의 계대 배양 조건을 확립하고자 한다. 또한 미니돼지의 혈 액형을 PCR 기반으로 분석하여 분류하고 OO 타입의 선 별을 통하여 이종 간 이식에 용이하게 공여 세포의 조건 을 확립하였다. 이후 sgRNA(single guide RNA)를 사용하 여 CRISPR-Cpf1로 GGTA1(α-1,3 galactosyl-transferase) 유전자를 knock-out 한 미니돼지의 생산으로, 급성면역반 응을 유발하는 Gal(1,3)Gal epitope이 제거된 미니돼지의 세포 주를 구축 및 체세포 핵이식을 통해 GGTA1 knock-out 미니돼지를 생산하였으며, 이러한 연구는 이후 체세포 핵이식 및 이종 간 장기이식에 중요한 기초자료로 사용될 것이라고 생각된다.

Screening of Bacillus subtilis strains capable of producing extracellular hydrolases, including lipolytic enzyme was carried out. Within the scope of this study, total 61 strains were isolated from various domestic specific environmental samples such as seawater, soil, Jeju ranch, hot spring, salt farm, and fermented food and identified as Bacillus subtilis based on 16S rRNA sequences. Among the isolates, 4 strains had extracellular lipase activity. The growth profile of the strains revealed that 4 strains showed well growth at 50℃, 3 strains at 55℃, and pH 7.0. All strains could tolerate salinity up to 5%(w/v), 3 strains up to 10%(w/v), and only one strain showed growth at 15%(w/v). Additionally, amylolytic and proteolytic activities were detected in these strains. The highest lipolytic, amylolytic, and proteolytic activity was detected in Bacillus subtilis YS-YR 5A. These results demonstrate the potential application of extracellular hydrolase-producing Bacillus subtilis strains, especially strain YS-YR 5A, as fermentation starter to enhance the functionality and multiplication of functional natural products in the food/medicine/cosmetics/bio industries.

In recent years, India has consistently increased its production of small fruits. India is the second-largest producer of fruits and vegetables globally, with a diverse range of small fruits grown across the country. Small fruits, such as kiwifruit and blueberries, are in high demand due to the growing popularity of healthier food options and increased awareness of their associated health benefits. However, the current status of small fruit production in India is substantially lower than that of other fruit crops. Nonetheless, there has been a growing interest in small fruit production, particularly in regions with suitable climatic conditions. Currently, only two types of small fruit are commercially produced in India: grapes and Indian jujube/ber. Three other fruit types, strawberries, blueberries, and kiwi, have production areas of less than 10,000 ha each. Despite the growing interest in small fruit production, several challenges, such as the lack of good planting materials, productivity issues, lack of packaging facilities, and marketing networks for farmers, need to be addressed to enhance the prospects for small fruit production in India. Future studies should focus on several areas to overcome these challenges. Firstly, it is crucial to understand the specific resource constraints that small fruit producers face and develop strategies to improve their access to essential resources, including planting materials, land, water, and financial support. Secondly, innovative marketing strategies tailored to the unique characteristics of small fruit production in India should be employed to expand domestic and international market opportunities. Lastly, adopting appropriate technologies and sustainable production practices is necessary to improve productivity and mitigate environmental impacts. Overall, the prospects for small fruit production in India appear promising, given the growing demand for healthier food options and the expanding domestic and international markets for small fruits.

Microbial proteases are more economical than plant- and animal-derived proteases due to their ease of production and high activity. This study aimed to optimize the production of proteases from fermentative food-derived microorganisms. Five strains with proteolytic activity among 50 Bacillus sp. were first screened. Two strains with high protease activity were identified: Bacillus amyloliquefaciens SRCM 102139 and Bacillus subtilis SRCM 104999. SRCM 102139 strain and SRCM 104999 strain had the highest protease activity in 0.8% glucose and 0.3% yeast extract, and in 0.8% starch and 0.1% soy peptone, respectively. The production of protease for two strains was optimized by the Central Composite Design (CCD) under response surface methodology. The optimal conditions for protease production in SRCM 102139 were 0.5% and 0.347%, pH 6.0, for carbon (glucose) and nitrogen (yeast extract springer 0202) sources, respectively, with a predicted value of 0.929 U/mL. Additionally, the optimal conditions for protease production in SRCM 104999 were 0.5% and 0.5%, pH 6.7, for carbon (starch) and nitrogen (soy peptone HSP-349) sources, respectively, with a predicted value of 0.431 U/mL. The actual protease activities of SRCM 102139 and SRCM 104999 under the established conditions were 0.926 U/mL and 0.428 U/mL, respectively, closely matching the predicted values.

Metal material production process machinery is becoming larger due to the development of industry. Since there are many overseas manufacturers of large machines used in industrial fields, there are limitations in investigating the manufacturer's noise prediction method and measurement method. A noise map was prepared to obtain information necessary for noise reduction and to effectively manage noise companies. It was modeled with the drawings provided to prepare the noise map and the results of the actual measurement of the site. In order to improve the noise environment of workers, there was a noise reduction effect when a soundproof wall was installed between the noise source and the worker's workplace.

Codonopsis lanceolata (S. et Z.) Trautv. is mainly cultivated in Korea and China as a medicinal crop. C. lanceolata is difficult to produce plug seedlings in the summer, because C. lanceolata has a low germination rate and is vulnerable to high temperatures. Cold treatment is effective in breaking dormancy of seeds and increasing the germination rate. Shading cultivation can control the solar irradiance received by plants and reduce the damage by high temperatures and strong light. This study was conducted to examine the appropriate cold treatment period for the improving germination of C. lanceolata, and shading level during the summer seedling period. Cold treatment experiments were conducted for 0 (control), 1, 2, 3, and 4 weeks at 4°C before sowing. In the shading experiment, C. lanceolata was grown for 45 days with 0 (non-treatment), 45, 75% shading levels. Cold treatment for one week significantly improved the germination energy. The plant height, leaf area, and fresh and dry weights of C. lanceolata seedlings were significantly increased under the 45% shading level. Total root length, root surface area, and the number of root tips were significantly higher in shading treatment (45 and 75%) than in non-treatment. The C. lanceolata seedling’s compactness and Dickson’s quality index were the highest at 45% shading level. Therefore, these results recommended sowing C. lanceolata after cold treatment for one week at 4°C, and 45% shading level could stably culture C. lanceolata plug seedlings during the high temperature period.

본 연구는 새만금 간척지와 주산지인 무안에서 재배하였을 때 양파의 생육과 퀘르세틴 등 기능성 성분을 분석하였다. 양파는 중생종 품종인 ‘맵시황’, 중만생 품종인 ‘선파워’, ‘헬시큐’를 사용하였다. 전남 무안에 9월 상순 파종 후 육묘하여 간척지와 무안에 각각 11월 상순에 정식하고 이듬해 6월 초순에 수확하였다. 중만생종 품종인 ‘선파워’와 ‘헬시큐’가 간척지에서 구중 336.5g, 248.3g으로 생육이 우수하였다. 피루브산은 ‘헬시큐’, ‘맵시황’, ‘선파워’ 순으로 높았고 지역 별로는 ‘헬시큐’, ‘맵시황’ 품종이 간척지 재배 시 각각 48.3μmol·g-1, 41.1μmol·g-1으로 무안에서 재배하였을 때보다 높았다. 총 퀘르세틴은 품종 별로 비교하였을 때 ‘헬시큐’가 219.1μg·g-1으로 가장 높았고 ‘선파워’, ‘맵시황’의 순이었으며 재배지역에 따른 차이는 확인되지 않았다. 또한 총 페놀은 총 퀘르세틴 함량과 유사한 경향을 보였으며, ‘헬시큐’의 함량이 853.7μg·mL-1으로 가장 높았고, ‘선파워’는 무안에서 재배할 경우 페놀 함량이 높은 것으로 나타났다. 결과적으로, 피루브산, 총 퀘르세틴, 총 페놀의 함량은 재배지역 보다는 품종에 따른 영향이 큰 것으로 판단되었다.

Climate change is a major global problem. Oysters, one of the most representative farmed fish in Korea, are attracting attention as candidates for blue carbon, an alternative to carbon neutrality. This study is analyzed by the SSP scenarios to determine the impact of oyster aquaculture production according to climate change. Based on the analysis, future productions of oysters are predicted by the SSP scenario. Significant differences by the SSP scenario are confirmed through predictive power tests among scenarios. Regression analysis was conducted from January 2001 to December 2014. As a result of the analysis, water temperature, water temperature quadratic term, salinity, salinity quadratic term, and month × water temperature cross term were estimated as significant variables. Oyster production which is predicted by the SSP scenario based on the significant variables from 2015 to 2022 was compared with actual production. The model with the highest predictive power was selected by RMSE and MAPE criteria. The predictive power was compared with the MDM test to determine which model was superior. As a result, based on RMSE and MAPE, the SSP1-2.6 scenario was selected as the best model and the SSP1-2.6, SSP2-4.5, and SSP3-7.0 scenarios all showed the same predictive power based on the MDM test. In conculusion, this study predicted oyster aquaculture production by 2030, not the distant future, due to the short duration of the analytical model. This study was found that oyster aquaculture production increased in all scenarios and there was no significant difference in predictive power by the SSP scenario.

This study was conducted to estimate the damage of Whole Crop Corn (WCC; Zea Mays L.) according to abnormal climate using machine learning as the Representative Concentration Pathway (RCP) 4.5 and present the damage through mapping. The collected WCC data was 3,232. The climate data was collected from the Korea Meteorological Administration's meteorological data open portal. The machine learning model used DeepCrossing. The damage was calculated using climate data from the automated synoptic observing system (ASOS, 95 sites) by machine learning. The calculation of damage was the difference between the dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of WCC data (1978-2017). The level of abnormal climate by temperature and precipitation was set as RCP 4.5 standard. The DMYnormal ranged from 13,845-19,347 kg/ha. The damage of WCC which was differed depending on the region and level of abnormal climate where abnormal temperature and precipitation occurred. The damage of abnormal temperature in 2050 and 2100 ranged from -263 to 360 and -1,023 to 92 kg/ha, respectively. The damage of abnormal precipitation in 2050 and 2100 was ranged from -17 to 2 and -12 to 2 kg/ha, respectively. The maximum damage was 360 kg/ha that the abnormal temperature in 2050. As the average monthly temperature increases, the DMY of WCC tends to increase. The damage calculated through the RCP 4.5 standard was presented as a mapping using QGIS. Although this study applied the scenario in which greenhouse gas reduction was carried out, additional research needs to be conducted applying an RCP scenario in which greenhouse gas reduction is not performed.

This study aimed to confirm the importance ratio of climate and management variables on production of orchardgrass in Korea (1982―2014). For the climate, the mean temperature in January (MTJ, ℃), lowest temperature in January (LTJ, ℃), growing days 0 to 5 (GD 1, day), growing days 5 to 25 (GD 2, day), Summer depression days (SSD, day), rainfall days (RD, day), accumulated rainfall (AR, mm), and sunshine duration (SD, hr) were considered. For the management, the establishment period (EP, 0―6 years) and number of cutting (NC, 2nd―5th) were measured. The importance ratio on production of orchardgrass was estimated using the neural network model with the perceptron method. It was performed by SPSS 26.0 (IBM Corp., Chicago). As a result, EP was the most important variable (100%), followed by RD (82.0%), AR (79.1%), NC (69.2%), LTJ (66.2%), GD 2 (63.3%), GD 1 (61.6%), SD (58.1%), SSD (50.8%) and MTJ (41.8%). It implies that EP, RD, AR, and NC were more important than others. Since the annual rainfall in Korea is exceed the required amount for the growth and development of orchardgrass, the damage caused by heavy rainfall exceeding the appropriate level could be reduced through drainage management. It means that, when cultivating orchardgrass, factors that can be controlled were relatively important. Although it is difficult to interpret the specific effect of climates on production due to neural networking modeling, in the future, this study is expected to be useful in production prediction and damage estimation by climate change by selecting major factors.