This study reports the development of a new pure white Flammulina velutipes variety, ‘Seoldan’. The breeding process involved a primary cross between a brown strain (KMCC02267) collected by the Rural Development Administration and a white cultivar ‘Baekwoon’ (KMCC05472). From this cross, a white line ‘Fv-23-553’ was selected and subsequently crossed with a superior pure white resource (KMCC05474), resulting in the novel cultivar Seoldan. Mycelial growth tests showed that both varieties grew best at 25°C; however, Seoldan exhibited faster mycelial growth than the control variety under four temperature conditions except at 20°C. In media tests, Seoldan also demonstrated superior growth on three media types, with the exception of YM medium. In sawdust bottle cultivation, The time from scratching to the first fruiting was 2 days shorter in Seoldan than in the control variety, contributing to an overall reduction in cultivation time. The most distinct morphological trait of Seoldan is its pure white cap color. The average yield was 218.8 ± 10.6 g per bottle, comparable to that of the control. Morphologically, Seoldan produced smaller pileus and thinner stipes than the control. Furthermore, somatic incompatibility tests confirmed that Seoldan is genetically distinct from the control variety. These results indicate that Seoldan is a promising pure white variety with stable productivity, improved cultivation efficiency, and clear genetic differentiation from existing varieties.

강풍에 대한 피해가 증가하면서 시설물의 취약도를 예측하여 대응하는 것이 필요하다. 이때, 풍속의 변동성을 고려하여 확률 론적 예측이 필요하여 물리 기반 인공신경망(PINN) 기반의 기초적인 확률론적 예측 모델을 개발하였다. 입력변수를 마르코프체인 몬 테카를로 시뮬레이션을 통해 랜덤 샘플링하여 이를 PINN 모델로 입력하고, 물리식 기반의 손실함수를 통해 신호등을 대상으로 취약 도를 예측하였다. 모델을 통해 예측한 결과 신호등에서 파손이 발생할 수 있는 신호 접합부와 지면 접합부에 대해 확률적으로 취약도 를 산출할 수 있었고, 이를 기반으로 신호 접합부가 더 취약함을 확인할 수 있었다. 기초 모델로 물리식 만을 기반으로 예측하여 얻은 결과로 추후 실측 데이터를 통해 학습과 검증을 거쳐야하나 충분히 강풍에 의한 시설물 취약도를 예측할 수 있으며 이러한 예측에 확 률론적 모델이 유용함을 확인하었다.

This study investigates the potential market demand and the effects of consuming senior-friendly foods on the nutritional status and quality of life of older adults in South Korea, which has rapidly become a super-aged society. Utilizing data from a 2024 field study, a Difference-in-Differences (DID) analysis was employed to evaluate the impact of senior-friendly food intake on calorie and nutrient supplementation, as well as improvements in quality of life. The findings reveal a substantial potential market, with 11.7 to 16.2% of individuals aged 75 and over expressing purchase intentions. Significant improvements were observed in both the Mini Nutritional Assessment (MNA-SF) and the Nutrition Quotient for Elderly (NQ-E) scores after the consumption of senior-friendly foods. Further, the intake increased daily calories by an average of 322.9 kcal, protein intake by 14.2 g, and fat intake by 12.1 g. The utility weight, indicating quality of life, also significantly increased by 0.037. Policy directions should prioritize promoting the senior-friendly food market to improve nutritional intake and quality of life among the rapidly growing older adult population, as evidenced by the significant positive effects observed in this study.

This study aims to quantitatively evaluate the life cycle carbon emissions of continuously reinforced concrete pavements on Korean expressways. The analysis focuses on assessing the effect of the changes in pavement design life and maintenance frequency on total carbon emissions to provide a basis for effective carbon reduction strategies. In accordance with ISO 14040 and ISO 14044, carbon emissions were calculated using actual design documents, including bills of quantities and unit price lists. National emission factors were applied to each life cycle stage, including the maintenance stage that was modeled based on the standard maintenance scenarios of the Korea Expressway Corporation. The study also conducted a scenario-based evaluation to examine the impact of extending the pavement design life from 20 to 30 years on maintenance-related emissions. The usage stage accounted for the largest share of total emissions, followed by the material production and maintenance stages. Notably, repeated asphalt overlay maintenance contributed significantly to emissions. Extending the design life reduced the number of high-emission maintenance activities, leading to a significant reduction in the total life cycle emissions. Extending the pavement design life and optimizing maintenance cycles were effective strategies for reducing the life cycle carbon emissions in road infrastructure. Furthermore, applying eco-design principles—such as incorporating recycled aggregates or low-carbon cement during the design stage—could further enhance sustainability. Future research should include various case studies and support the development of standardized national life cycle inventory databases for road infrastructure systems.

본 연구는 정정렬제 춘향가 전승 과정에서 나타난 변화 양상을 사설의 선율과 리듬 구조 중심으로 고찰하였다. 정정렬과 그의 직계 제자 김여 란 그리고 최승희로 이어지는 소리 중 ‘어사와 장모’를 분석하고자 했다. 정정렬 소리는 신나라 레코드사에서 발매한 SP복각본, 김여란 소리는 지 구레코드사에서 나온 음반을 채보하였으며, 최승희 소리는 그가 펴낸 ‘정 정렬제 춘향가 악보집’을 기반으로 3인의 소리를 비교 분석하였다. 분석 결과 첫째, 사설의 리듬 구조는 3소박과 2소박 그리고 혼용 리듬형 등 여러 분박 구조를 보이고 있으며, 정정렬은 분박 구조에서 비슷한 비율 을 보이는 반면, 김여란과 최승희에서는 2소박 계열의 두드러짐이 나타 났다. 둘째, 선율 구조는 악조에 있어서 김여란과 최승희는 계면조와 평 조에서 같은 청을 유지하는 데 비해 정정렬은 평조 대목에서 3차례 중심 음 변화가 보였다. 이러한 연구 결과를 토대로 정정렬제 판소리의 여러 다양한 대목들에 대한 폭넓은 분석도 논할 것을 제언하였다.

This study analyzed the structural characteristics and influencing factors of fish assemblages according to lake size (small, medium, large) based on fish survey data from 90 lakes designated under the National Aquatic Ecosystem Health Monitoring Program in Korea. From surveys conducted between 2022 and 2024, a total of 107 fish species belonging to 32 families were recorded. The dominant species was the bluegill (Lepomis macrochirus, relative abundance [RA]: 21.2%), followed by Hemiculter eigenmanni as the subdominant species (RA: 13.6%). Statistical analysis based on lake size revealed significant differences across eight ecological indicators including species richness, abundance, diversity, evenness, richness, dominance, number of endemic species, and number of exotic species according to lake size. These indicators tended to increase with lake size. While this pattern may be initially attributed to positive factors associated with larger lakes, such as greater habitat heterogeneity and food resource diversity, it is considered that the primary factor influencing these results is the difference in the number of sampling sites per lake. Since sampling sites were designated based on the national water quality monitoring network, they are considered representative of each lake’s environmental conditions. Bray-Curtis similarity and SIMPER analyses identified patterns in assemblage similarity and the key contributing species for each size group. This study provides empirical evidence that demonstrates the influence of lake size on fish assemblage composition and structure and highlights the necessity of incorporating lake size and typology into fish-based assessments of lentic ecosystem health.

This study investigates how lake morphology, water quality, and water-level fluctuations (WLF) collectively shape wetland plant communities across 90 lakes in the Republic of Korea. By analyzing morphological indices (Index of Basin Permanence; IBP, Rawson Index; RI), WLF, water quality, and vegetation data, we identified four distinct lake groups through cluster analysis. Group C, comprising large dams, was characterized by the highest IBP and extreme WLF. Despite having favorable water quality, this group exhibited the lowest species richness, suggesting that severe physical disturbance from WLF is a primary limiting factor for wetland plant community. In contrast, Group A (estuarine reservoirs) showed stable water levels but high nutrient concentrations, which led to eutrophic conditions and communities dominated by a few tolerant species. Group D, which included small agricultural reservoirs and floodplain wetlands, had complex shorelines (highest RI) and supported the higher diversity of aquatic plants. This indicates that habitat heterogeneity can mitigate moderate physical disturbances and enhance richness. Canonical Correspondence Analysis and Variation Partitioning Analysis revealed that community structure is primarily influenced by hydrological disturbance, chemical stress (eutrophication), salinity, and shoreline complexity. These analyses confirmed that the interplay of these environmental factors explains community variation more effectively than any single factor alone. Our findings demonstrate that lake plant communities are shaped by a complex interaction of geomorphological, hydrological, and chemical factors. Therefore, effective lake management must adopt an integrated approach, considering both water-level regulation and shoreline complexity to enhance ecological integrity.

The 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) gene derived from Agrobacterium sp. strain CP4 is known to confer herbicide resistance. It has been extensively utilized in the development of living modified organism (LMO) over the past 25 years. With increasing importation of LMO agricultural products, there is a growing need for rapid and reliable detection methods for detecting the CP4 EPSPS protein. In this study, a rapid immunoassay kit based on the lateral flow assay (LFA) principle was developed to detect herbicide-resistant crops. Using recombinant CP4 EPSPS protein developed by the National Institute of Ecology, two in-house antibodies were produced and evaluated alongside two commercially available antibodies. The optimized antibody combination demonstrated a detection limit of 1%, exhibiting superior sensitivity and accuracy to an existing commercial rapid kit. Furthermore, the developed kit showed shorter analysis time and higher cost efficiency, significantly improving its applicability in field settings. These advancements highlight the potential of this rapid immunoassay kit not only for domestic and international market penetration, but also as a critical tool for advancing GMO detection technologies.

포트홀은 도로 안전과 밀접한 관련이 있으며 차량 손상 및 사고를 유발할 수 있어 신속한 발견과 보수가 필요하다. 그러나 기존의 포트홀 유지보수 방법은 인력 부족으로 인해 효율적이지 못하다. 관리를 간소화하기 위해 인공지능을 활용한 포트홀 객체 인식이 시 도되었지만, 데이터 수집의 어려움과 부족한 일반화 성능으로 이러한 접근법에도 한계가 있다. 이를 해결하기 위해, 본 연구에서는 객체 검출 모델 YOLOv8, 객체 분할 모델 SAM2, 그리고 대형 언어 모델 LLM을 결합한 PotholeSAM 프레임워크를 제안한다. 이 프레 임워크는 세 단계로 구성된다; 첫째, YOLOv8을 사용하여 이미지 내 포트홀의 위치를 검출한다; 둘째, SAM2를 활용하여 검출된 포 트홀 영역을 정밀하게 분할한다; 셋째, LLM이 분할된 영역의 밝기 정보를 분석하여 포트홀의 깊이를 추정한다. 제안된 방법은 포트 홀의 위치, 면적, 깊이에 대한 정보를 자동으로 분석하여 도로 관리에 필요한 데이터를 효율적으로 획득할 수 있다. 이를 통해 지방 정 부의 인력 부족을 완화하고 운전자에게 위험한 포트홀을 조기에 발견하여 선제적으로 대응할 수 있다.

Italian ryegrass (Lolium multiflorum L.) is an annual forage crop widely cultivated across the globe for its excellent nutritional value and high productivity. Despite its importance, studies on differentially expressed genes (DEGs) involved in its morphogenesis remain limited. In this study, we employed a high-yielding mutant line developed through radiation mutagenesis to identify candidate genes associated with morphogenesis, focusing on Expansins (EXPs), GRFs (Growth regulating factors), GIFs (GRF-interacting factors), and growth hormone-related genes. RT-qPCR primers were designed, and differential gene expression analysis was performed. Gene expression was assessed in the leaves of seedlings at one to three weeks of age, comparing the control cultivar 'Kowinearly' with the mutant line. Expression patterns fell into four distinct categories: (1) genes consistently exhibiting lower expression in the mutant line across all developmental stages; (2) genes showing persistently low expression in the mutant, while the control displayed a sharp increase at early stages followed by a decline; (3) genes with low expression in the control but a marked early-stage increase in the mutant; and (4) genes with decreasing expression over time in the mutant, contrasting with gradually increasing expression in the control. These expression profiles highlight Actin and GRF6 as Group 1 genes, AXR1 (Auxin-resistant protein 1) and EXPB6 (c) as Group 2 genes, PEVMPP1 (Pyrophosphate-energized vacuolar membrane proton pump 1) as a Group 3 gene, and EF1A (Elongation factor 1-alpha) as a Group 4 gene, all of which are key candidate genes for the development of high-yielding Italian ryegrass cultivars.

This study aimed to evaluate the effects of dietary tryptophan supplementation on growth performance, skin lesions, and blood parameters in weaned piglets. A total of 144 piglets (Landrace × Yorkshire × Duroc; initial BW: 6.63±0.21 kg) were randomly assigned to one of three dietary treatments, with six replicates of eight pigs each for 28 days. The treatments included a control diet (CON), a diet supplemented with 0.10 % tryptophan (T1), and a diet with 0.20% tryptophan (T2). Growth performance was assessed by measuring average daily gain (ADG), average daily feed intake (ADFI), and feed efficiency (G:F). Skin lesions were scored on days 14 and 28, and blood samples were collected at the end of each phase for analysis of growth hormone, cortisol, and serotonin levels. Results indicated that tryptophan supplementation improved ADG and G:F compared with the control, particularly in the T2 group. Skin lesion scores were lower in the tryptophan supplemented groups, suggesting reduced aggression. Furthermore, blood serotonin levels tended to increase and cortisol levels showed a decreasing trend in tryptophan-supplemented groups, suggesting potential stress mitigation. These findings suggest that dietary tryptophan supplementation can enhance performance and welfare in weaned piglets under stress.

최근 증가한 상어의 출현빈도 증가는 상어 혼획의 증가와 더불어 상어에 의한 생태계 변화의 정밀 해석의 필요성으로 이어지고 있다. 안정동위원소는 생태학적 현상을 해석하 고 이해하는 데 사용되며, 상어의 이동에 대한 원인과 생태계 내 상어의 위치 및 생태를 이해하는데 도움이 될 수 있다. 본 총론에서는 한국의 상어 연구에서 영양 단계와 먹이 구성을 추정하고 이동 및 서식지 이용 패턴을 추론하기 위한 안정동위원소 기법의 활용을 제안하고자 한다. 연구자들이 이 접근법의 강점과 한계를 이해하는 데 도움을 주기 위해, 탄소 및 질소 안정동위원소의 영양 단계 판별 특성, 그리고 영양 단계 및 먹이 구성 추정을 위한 방법론적 고려 사항에 대한 간략한 개요를 제공하고자 하며 연골어류 특유의 특성에 대한 동위원소 기법의 주의 사항 및 화합물 안정동위원소비를 이용한 최신 연구도 소개한다. 안정동위원소 기법은 위내용물, 유전자, 생지화학적 마커와 공동 활용을 통해 상어 생태학에 대한 기본적인 의문을 해결하는 데 강력한 도구로 활용될 수 있을 것이다.