The feathery branched green alga Bryopsis plumosa (Hudson) C. Agardh bloomed at Songji Beach, Haenam, Korea, in November 2022. A terrible stench was present on the beach, and the bottom was covered in a thick green mat of green algae. The alga was identified as B. plumosa, which is an opportunistic species currently distributed worldwide. Dissolved inorganic nitrogen (DIN) and dissolved inorganic phosphorus (DIP) were analyzed in the bloomed area and compared with those of other vicinities. The DIN and DIP concentrations were 1.067 and 0.461 mg L-1, respectively, which were 6 to 19 times higher than the average concentrations on southwest coasts, including Haenam. The B. plumosa bloom at Songji Beach in November 2022 appears to have depended on DIN and DIP concentrations in seawater. In this study, we report on the mass occurrence of B. plumosa, which appeared for the first time in Korea. This occurrence was found to be closely related to the concentration of nutrients in seawater. Therefore, it is necessary to manage the concentration of nutrients on land flowing into coastal waters to control green algal blooms such as Bryopsis.

This study aimed to assess and determine the optimal model for predicting the full bloom date of ‘Fuji’ apples across South Korea. We evaluated the performance of four distinct models: the Development Rate Model (DVR)1, DVR2, the Chill Days (CD) model, and a sequentially integrated approach that combined the Dynamic model (DM) and the Growing Degree Hours (GDH) model. The full bloom dates and air temperatures were collected over a three-year period from six orchards located in the major apple production regions of South Korea: Pocheon, Hwaseong, Geochang, Cheongsong, Gunwi, and Chungju. Among these models, the one that combined DM for calculating chilling accumulation and the GDH model for estimating heat accumulation in sequence demonstrated the most accurate predictive performance, in contrast to the CD model that exhibited the lowest predictive precision. Furthermore, the DVR1 model exhibited an underestimation error at orchard located in Hwaseong. It projected a faster progression of the full bloom dates than the actual observations. This area is characterized by minimal diurnal temperature ranges, where the daily minimum temperature is high and the daily maximum temperature is relatively low. Therefore, to achieve a comprehensive prediction of the blooming date of ‘Fuji’ apples across South Korea, it is recommended to integrate a DM model for calculating the necessary chilling accumulation to break dormancy with a GDH model for estimating the requisite heat accumulation for flowering after dormancy release. This results in a combined DM+GDH model recognized as the most effective approach. However, further data collection and evaluation from different regions are needed to further refine its accuracy and applicability.

Environmental DNA (eDNA) can exist in both intracellular and extracellular forms in natural ecosystems. When targeting harmful cyanobacteria, extracellular eDNA indicates the presence of traces of cyanobacteria, while intracellular eDNA indicates the potential for cyanobacteria to occur. However, identifying the “actual” potential for harmful cyanobacteria to occur is difficult using the existing sediment eDNA analysis method, which uses silica beads and cannot distinguish between these two forms of eDNA. This study analyzes the applicability of a density gradient centrifugation method (Ludox method) that can selectively analyze intracellular eDNA in sediment to overcome the limitations of conventional sediment eDNA analysis. PCR was used to amplify the extracted eDNA based on the two different methods, and the relative amount of gene amplification was compared using electrophoresis and Image J application. While the conventional bead beating method uses sediment as it is to extract eDNA, it is unknown whether the mic gene amplified from eDNA exists in the cyanobacterial cell or only outside of the cell. However, since the Ludox method concentrates the intracellular eDNA of the sediment through filtration and density gradient, only the mic gene present in the cyanobacteria cells could be amplified. Furthermore, the bead beating method can analyze up to 1 g of sediment at a time, whereas the Ludox method can analyze 5 g to 30 g at a time. This gram of sediments makes it possible to search for even a small amount of mic gene that cannot be searched by conventional bead beating method. In this study, the Ludox method secured sufficient intracellular gene concentration and clearly distinguished intracellular and extracellular eDNA, enabling more accurate and detailed potential analysis. By using the Ludox method for environmental RNA expression and next-generation sequencing (NGS) of harmful cyanobacteria in the sediment, it will be possible to analyze the potential more realistically.

Algal bloom is an ongoing issue in the management of freshwater systems for drinking water supply, and the chlorophyll-a concentration is commonly used to represent the status of algal bloom. Thus, the prediction of chlorophyll-a concentration is essential for the proper management of water quality. However, the chlorophyll-a concentration is affected by various water quality and environmental factors, so the prediction of its concentration is not an easy task. In recent years, many advanced machine learning algorithms have increasingly been used for the development of surrogate models to prediction the chlorophyll-a concentration in freshwater systems such as rivers or reservoirs. This study used a light gradient boosting machine(LightGBM), a gradient boosting decision tree algorithm, to develop an ensemble machine learning model to predict chlorophyll-a concentration. The field water quality data observed at Daecheong Lake, obtained from the real-time water information system in Korea, were used for the development of the model. The data include temperature, pH, electric conductivity, dissolved oxygen, total organic carbon, total nitrogen, total phosphorus, and chlorophyll-a. First, a LightGBM model was developed to predict the chlorophyll-a concentration by using the other seven items as independent input variables. Second, the time-lagged values of all the input variables were added as input variables to understand the effect of time lag of input variables on model performance. The time lag (i) ranges from 1 to 50 days. The model performance was evaluated using three indices, root mean squared error-observation standard deviation ration (RSR), Nash-Sutcliffe coefficient of efficiency (NSE) and mean absolute error (MAE). The model showed the best performance by adding a dataset with a one-day time lag (i=1) where RSR, NSE, and MAE were 0.359, 0.871 and 1.510, respectively. The improvement of model performance was observed when a dataset with a time lag up of about 15 days (i=15) was added.

The present study aimed to analyze the metaproteome of the microbial community comprising harmful algal bloom (HAB) in the Daechung reservoir, Korea. HAB samples located at GPS coordinates of 36°29’N latitude and 127°28’E longitude were harvested in October 2013. Microscopic observation of the HAB samples revealed red signals that were presumably caused by the autofluorescence of chlorophyll and phycocyanin in viable cyanobacteria. Metaproteomic analysis was performed by a gelbased shotgun proteomic method. Protein identification was conducted through a two-step analysis including a forward search strategy (FSS) (random search with the National Center for Biotechnology Information (NCBI), Cyanobase, and Phytozome), and a subsequent reverse search strategy (RSS) (additional Cyanobase search with a decoy database). The total number of proteins identified by the two-step analysis (FSS and RSS) was 1.8-fold higher than that by one-step analysis (FSS only). A total of 194 proteins were assigned to 12 cyanobacterial species (99 mol%) and one green algae species (1 mol%). Among the species identified, the toxic microcystin-producing Microcystis aeruginosa NIES-843 (62.3%) species was the most dominant. The largest functional category was proteins belonging to the energy category (39%), followed by metabolism (15%), and translation (12%). This study will be a good reference for monitoring ecological variations at the meta-protein level of aquatic microalgae for understanding HAB.

본 연구는 농업용 호소의 녹조발생을 간편하고, 효율적으로 진단할 수 있는 도구를 개발하고자 하였다. 2018년 4월~10월 동안 15개 농업용 호소에서 채취된 182개의 시료를 이용하여 식물플랑크톤 현존량을 반영할 수 있는 수질 이화학적 항목을 살펴보고자 식물플랑크톤과 TN, TP, Chl-a, SD 등의 상관계수 (r)를 분석한 결과, 총 식물플랑크톤 현존량은 Chl-a (r=0.666), SD (r= -0.351)와 높은 상관관계, 남조류와 유해 남조류 현존량 역시 Chl-a과 각각 r=0.664, r=0.353, SD와 각각 r= - 0.340, r= -0.338로 유의성 있는 상관관계를 보여주었으나 TN, TP의 항목과는 유의한 상관관계가 나타나지 않았다. Chl-a 농도는 SD와 r= -0.434의 상관관계를 보여주어 식물플랑크톤 현존량 보다 높은 유사성을 나타냈으므로, 조류경보제에서 사용하는 유해 남조류 현존량 분석을 대신하여 녹조예찰을 위한 진단 요소항목으로 Chl-a와 SD를 선정하고 실시간 SD 실측 값을 이용하여 진단을 할 경우 그 결과에 대한 유의성이 있는 것으로 판단되었다. 녹조진단 도구는 SD와 탁도 측정 방법을 변형한 역원뿔 모양의 용기와 녹조판단조견표로 구성되어 있으며, 현장수를 채취하여 녹조발생 정도에 따라 용기 내에 보이는 원형환의 개수 또는 각 원형환에 표시 된 숫자를 관찰하고, 조류의 색도를 녹조판단조견표와 비교하여 최종 녹조단계를 판별할 수 있도록 하였다. 또한, 정확한 진단을 위해 Chl-a 농도와 원형환의 수에 근거한 4단계 진단 기준과 Hexa 코드명이 표기된 부채모양의 조견표를 제시하여 한가지 방법에 따른 변수와 오차를 보완하고 판단의 편리성을 함께 제공하였다. 이를 통해 농업용 호소의 녹조진단을 용이하게 할 수 있을 것으로 기대되며, 녹조 관리방안 수립을 효율화하여 녹조로부터 안전하고 건강한 농업용수 확보가 가능할 것으로 판단된다.

거제도 장목항에서 분리한 Akashiwo sanguinea의 형태와 계통학적 특성을 명확히 하고, 여러 온도와 염분구배에 따른 성장조건을 파악하고자 하였다. A. sanguinea의 세포는 오각형이었고, 세포의 길이는 54.7~70.3 μm, 폭은 31.5~48.5 μm로 나타났다. 핵은 세포의 중심에 위치하였고, 엽록체는 황갈색으로 세포 전체에 퍼져있었다. 상추구는 알파벳 e 모양이었다. 계통분석 결과 장목항에서 분리한 본 배양주는 ribotype A에 포함되었다. 온도 및 염분구배에 따른 성장 실험은 5°C 이하의 온도를 제외한 모든 온 도구배에서 성장이 나타났다. 그리고, 최대성장속도는 온도 20°C, 염분 20 psu에서 0.50 day-1로 나타났고, 최대세포 밀도는 온도 25°C, 염분 30 psu에서 1,372 cells mL-1였다. 이 결과는 A. sanguinea가 가을철에 한국 연안에서 최대 증식을 보일 수 있다는 것을 나타낸다.

The purpose of this study is to evaluate the fixed wing type domestic UAV for monitoring of algae bloom in aquatic environment. The UAV used in this study is operated automatically in-flight using an automatic navigation device, and flies along a path targeting preconfigured GPS coordinates of desired measurement sites input by a flight path controller. The sensors used in this study were Sequoia multi-spectral cameras. The photographed images were processed using orthomosaics, georeferenced digital surface models, and 3D mapping software such as Pix4D. In this study, NDVI(Normalized distribution vegetation index) was used for estimating the concentration of chlorophyll-a in river. Based on the NDVI analysis, the distribution areas of chlorophyll-a could be analyzed. The UAV image was compared with a airborne image at a similar time and place. UAV images were found to be effective for monitoring of chlorophyll-a in river.

본 연구는 전남 광양시 백운산의 조릿대 개화지에서 외적 환경인자가 개화원인으로 작용하는가를 조사했다. 이를 토대로 조릿대의 개화원인, 개화양식 및 생활사 전략을 고찰했다. 조릿대 개화지와 비개화지 사이의 토양･물리적 조건･광량 차이는 없었다. 2014~17년 사이에 조릿대가 개화했던 한국과 일본 개화지의 강수량･기온은 평년치(과거 30년)와 다른 특이점을 찾을 수 없었다. 또한 대면적으로 조릿대가 꽃을 피운 후에 대부분 죽었으나 일부 조릿대 간이 다시 발생하기도 하고 일부는 죽지 않았다. 즉, 조릿대는 외적 환경인자와 상관없이 일제히 개화했으며, 대부분의 조릿대 간은 죽지만 일부는 살아남았다. 이는 조릿대 개화원인은 외적 환경인자 영향보다 생물시계에 따라 주기적으로 발현하는 특정 유전자(일명, 유전자 시계)로 촉발된다고 본다. 한편, 멀리 떨어져 있는 조릿대 개체와 동조해 꽃을 대규모로 피우며, 소규모 단독으로 여러 번 개화하기도 한다. 이것은 평생 한 번 개화하는 조릿대의 유성번식 실패 리스크를 분산하기 위한 일종의 보험시스템이라고 판단된다. 열대성 대나무･조릿대류가 온대로 분포를 넓히면서 환경 의 불확실성 증가에 따른 유성번식의 최적화를 위해 장주기 단개화성이 강화된 것으로 추정된다.

The purpose of this study was to develop the NCS-based cooking practice education method by using the full learning model and to confirm its effect. The study design was a pre-post test of the non-equality control group. The subjects of this study included 28 students in the experimental group and 27 students in the control group. The experimental group participated in the NCS-based cooking practice training using the complete learning model, and the control group received only cooking practice training based on the full learning model. The data were collected during the second semester of 2016 and analyzed by SPSS WIN 23.0. The results of this study were as follows: First, homogeneity test showed that pre - homogeneity such as general characteristics, cooking ability, and knowledge of cooking theory were achieved (p>0.05). Second, the experimental group recognized that its cooking ability was high. With respect to the ability to cook food, the ability to cook, and the ability to prepare food ingredients (p<0.01), personal hygiene management, cooking hygiene management, and cooking safety management abilities were not significant. The mean value the experimental group was high. Third, the final theoretical knowledge score was not significant. The average score in the experimental group (69 points) was 5 points higher than that in the control group (64 points). This was about two times higher than the score of 37 points in the first stage preliminary survey. Finally, the final performance score was significant (p<0.05), and the score in the experimental group (89 points) was 5 points higher than that in the control group (84 points). Therefore, the NCS-based cooking education method is confirmed to be an effective method, especially for improvement of the practical ability, improvement of theoretical knowledge, and achievement of perfect learning standards.

This study was carried out to elucidate the development of unprecedented water-bloom caused by a single species of colonial green algae Eudorina elegans in the upstream area of the Seungchon weir located in the Yeongsan River from late April to May 2013. The Yeongsan River is typically regulated system and the waterbody is seriously enriched by both external and internal sources of nutrients. Seasonal algal outbreaks were highly probable due to various potential factors, such as the excessive nutrients contained in treated wastewater, slow current, high irradiation and temperature, in diatom (winter), green algae (spring) and bluegreen algae (summer). Spring green-tide was attributed to E. elegans with level up to 1,000 mg m-3 (>50×104 cells mL-1). The bloom was exploded in the initial period of the algal development and after then gradually diminished with transporting to the downstream by the intermittent rainfall, resulting in rapid expansion of the distribution range. Although the pulsed-flows by the weir manipulation was applied to control algal bloom, they were not the countermeasures to solve the underlying problem, but rather there still was a remaining problem related to the impact of pulsed-flows on the downstream. The green-tide of E. elegans in this particular region of the Yeongsan River revealed the blooming characteristics of a colonial motile microalga, and fate of vanishing away by the succeeding episodic events of mesoscale rainfall. We believe that the results of the present study contribute to limno-ecological understanding of the green-tide caused by blue-green algae in the four major rivers, Korea.

The study aimed to evaluate the damage persistence during subsequent years in kiwifruit vines defoliated by strong wind such as typhoons. Artificial defoliation was treated on five-year-old ‘Jecy Gold’ kiwifruit vines grown in a plastic house in year 2013 and 2014 by applying four levels of defoliation, i.e., 0, 50, 75, and 100% in August 23, 2013 and 100% defoliation in July 28 and August 29, 2014, respectively. Return bloom and fruit quality were investigated in the following two years, 2014 and 2015. A significant reduction in number of flowers per shoot in the following year, 2014 was recorded for the vines with 50%, 75%, and 100% defoliations treated in 2013 compared to the control vines. The number of flowers per florescence was significantly reduced for defoliated vines. Nevertheless, the fruit quality parameters, i.e., fruit length, width, weight, firmness, TSS, acidity, and dry matter content were not significantly different for the defoliated vines compared to the control vines. The vines defoliated in 2013 at 75% and 100% levels showed a significant reduction of number of flower per inflorescence in 2015 compared to the 0% defoliation. However, the number of flowers per shoot and fruit quality were not significantly different. Also, the number of flowers per inflorescence in 2015 was significantly reduced by July 28, 2014 or August 29, 2014 defoliation compared to non-defoliated vines while the number of flowers per shoot, and fruit quality in 2015 were not significantly different between treatments and control vines. Accordance with the present findings, the flowering is considerably affected by the shortage of carbohydrate supply than the fruit quality of ‘Jecy Gold’ kiwifruit. In addition, the negative impacts of severe defoliation in flowering of ‘Jecy Gold’ kiwifruit might be persisted more than one season from the time of defoliation and consequently, the total yield might be reduced in the following seasons after defoliation.

본 연구에서는 동물플랑크톤인 Daphnia magna를 이용하 여 유해조류인 Microcystis aeruginosa, Anabaena variabilis, Limnothrix planctonica에 대한 제어 가능성을 평가하였다. D. magna와 유해조류를 공생배양 시킨 경우, M. aeruginosa (80.2±4.2%), A. variabilis (39.7±4.0%) 그리고 L. planctonica (25.9±10.9%)의 순으로 조류 발생 억제효율을 보였 다. 동물플랑크톤의 섭생에 의한 조류 제어 효과 이외에 D. magna의 대사/분비물질의 조류 제어 가능성을 확인할 수 있 었다. D. magna를 배양한 배지를 유해조류 제어에 이용했을 때, M. aeruginosa와 A. variabilis에 대하여 각각 24.9±9.9% 와 8.9±4.0%의 성장 억제효과를 확인할 수 있었다. 하지만, L. planctonica에 대한 성장 억제효과는 나타나지 않았다. 본 연구의 결과를 통하여 동물플랑크톤인 D. magna를 활용한 친환경적 유해조류 제어기술 개발이 가능할 것으로 판단된 다.

본 실험은 왕우렁이를 대상으로 대발생한 식물플랑크톤을 제어할 수 있는 가를 파악하기 위해 섭식율 (grazing rate, GR) 및 유기물 생산 (pseudofaeces production)을 조사하였다. 섭식 효율을 조사하기 위해 시간 (12시간), 개체크기, 개체밀도, 먹이농도 조건 등의 조건을 달리하여 실험하였다. 왕우렁이는 투입 후 2시간 후에 2.5 L. gAFDW-1h-1의 최고 GR를 보이다가 12시간까지 일정한 섭식 경향을 나타내었다. 유기물 생산량은 4시간 후에 15.3 mg AFDW-1로 가장 많은 양을 나타냈다. 서로 다른 크기조건에서 각고가 1.5 cm 미만의 섭식율 변화가 크고 6시간 후에 비슷하였으며, 중간 크기(2.5 cm)가 3.0 cm 이상인 것보다 섭식율이 높았다. 밀도가 5 indiv. L-1 에서 엽록소 α 농도감소율이 가장 높았으며, 그 외의 밀도에서는 비슷한 변화를 나타내었다. 유기물 생산 역시 밀도가 높은 실험군에서 4시간에 최대로 증가하였다. 먹이농도가 600μg L-1일 때 0.54 L. gAFDW-1h-1의 가장높은 섭식율과 유기물 생산을 나타내었다. 본 연구에서 왕우렁이뿐만 아니라 논우렁이를 이용하여 식물플랑크톤 대발생을 제어 가능함을 본 연구를 통해 확인하였지만, 이들이 배설한 유기물의 제거 및 배설물의 분해에 다른 2차 문제에 대한 철저한 연구가 필요하다.