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Stem Rot of Pansy (Viola tricolor) Caused by Sclerotium rolfsii (Sclerotium rolfsii에 의한 팬지 흰비단병)

  • Kwon, Jin-Hyeuk;Park, Chang-Seuk
    • Research in Plant Disease
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    • v.9 no.1
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    • pp.25-27
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    • 2003
  • In 2002, a stem rot disease was found on Pansy (Viola tricolor) in several road-side flower beds in Jinju City, Gyeongnam province, Korea. The typical symptoms of the disease were stem rot, crown rot, wilt or blight. Upper parts of the infected stems were mostly blighted. White mycelial mats were spread over lesions and the sclerotia were farmed on the stems near soil line. The sclerotia was globoid or irregular in shape, 1.3~4.2 mm in size, and brown in color, The optimum temperature for fungal growth was about 3$0^{\circ}C$. The typical clamp connections were found in the hyphae of the fungus grown on PDA, and hyphal diameter was 3.9~10.4 ${\mu}{\textrm}{m}$. On the basis of mycological characteristics and pathogenecity test on host plants, the fungus was identified as Sclerotium rolfsii. This is the first report on the stem rot of Viola tricolor caused by Sclerotium rolfsii in Korea.

Sclerotium Rot of Sponge Gourd Caused by Sclerotium rolfsii (Sclerotium rolfsii에 의한 수세미오이 흰비단병)

  • Kwon, Jin-Hyeuk;Kim, Jin-Woo;Lee, Yong-Hwan;Shim, Hong-Sik
    • Research in Plant Disease
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    • v.18 no.1
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    • pp.54-56
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    • 2012
  • Sclerotium rot of sponge gourd occurred at the experimental field of Gyeongsangnam-do Agricultural Research and Extension Services in August 2010. The infected fruits showed water-soaked and rot symptoms. White mycelial mats spread over lesions, and then sclerotia were formed on fruit and near soil line. The sclerotia were globoid in shape, 1-3 mm in size and white to brown in color. The optimum temperature for mycelial growth and sclerotia formation on PDA was $30^{\circ}C$ and the hyphal width was 4-8 ${\mu}m$. The typical clamp connections were observed in the hyphae of the fungus grown on PDA. On the basis of mycological characteristics, ITS rDNA sequence analysis, and pathogenicity to host plants, this fungus was identified as Sclerotium rolfsii Saccardo. This is the first report of sclerotium rot on sponge gourd caused by S. rolfsii in Korea.

Complete genome sequence of Deinococcus puniceus DY1T, a radiation resistant bacterium (방사선 내성 세균 Deinococcus puniceus DY1T의 완전한 게놈 서열 분석)

  • Srinivasan, Sathiyaraj;Sohn, Eun-Hwa;Jung, Hee-Young;Kim, Myung Kyum
    • Korean Journal of Microbiology
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    • v.54 no.1
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    • pp.84-86
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    • 2018
  • Cells of Deinococcus puniceus $DY1^T$ are Gram-positive, coccus-shaped, and crimson color-pigmented. Strain $DY1^T$ was isolated from soil irradiated with 5 kGy gamma radiation and showed resistance to UVC and gamma radiation. In this study, we report the complete genome sequence of a bacterium Deinococcus puniceus $DY1^T$ is consist of circular chromosome comprised of 2,971,983 bp, with the G + C content of 62.5%. The complete genome sequence was obtained using the PacBio RS II platform, it included 2,617 coding sequences (CDs), 2,762 genes, and 88 pseudogene.

Collar Rot of Broad Bean (Vicia faba) Caused by Sclerotium rolfsii (Sclerotium rolfsii에 의한 잠두 흰비단병 발생)

  • Kwon, Jin-Hyeuk;Kim, Tae-Sung;Kang, Soo-Woong;Park, Chang-Seuk
    • The Korean Journal of Mycology
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    • v.29 no.2
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    • pp.131-133
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    • 2001
  • A destructive collar rot disease was found on broad bean (Vicia faba) in several farmer's field located in Changseon-myon, Namhae-gun, Gyeongsangnam-do in 2001. The typical symptoms of the disease were stem rot, crown rot, wilt or blight. Upper parts of the infected stems were mostly blighted and white mycelial mats were spread over lesions and the sclerotia were formed on the stems near soil line. The infection rates of the disease in the surveyed area were ranged from 28.6 to 42.8%. The sclerotia of the fungus readily formed in artificial media such as PDA at $30^{\circ}C$ and its shape was globoid or irregular and size was $1.0{\sim}3.7{\times}1.0{\sim}2.8\;mm\;(av.\;1.0{\sim}2.3\;mm)$ and was brown or dark brown in color. The optimum temperature for growth of the fungus was about $30^{\circ}C$. The typical clamp connections were found in the hypha of the fungus grown on PDA. On the basis of mycological characteristics and pathogenecity test on host plants, the fungus was identified as Sclerotium rolfsii. This is the first report on the collar rot of broad bean caused by Sclerotium rolfsii in Korea.

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Identification of Pisolithus tinctorius from GNU Campus

  • Han, Ki-Soo;Lee, Jung-Han;Kwon, Young-Sang;Bae, Dong-Won;Kim, Hee-Kyu
    • Journal of agriculture & life science
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    • v.43 no.4
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    • pp.33-36
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    • 2009
  • Globose to clavate base-ball sized, pear shaped, fruiting bodies were found under the Himalayan cedar, Cedrus deodora at less fertile and poor sandy poor soil in the campus of Gyeongsang National University in Jinju, Korea. The fruiting body was at first, round to club-shaped, usually with a narrow, rooting base with yellowish rhizomorphs attached to it and lack a volva and a sterile base. The peridium of fruiting body was tough and crusty. The peridioles were white pea-like capsules in a blackish matrix. The color change to darker tints of brown at the top of the exterior peridium reflected the gradual ripening of the interior gleba and peridioles, which proceeded from the top downward to become a mass of spore dust, appearing as cinnamon brown at the apex of the vertical section. At around this stage, the peridium cracked open linearly, exposing the gleba with powdery spores mass released from overmatured peridioles. Spores were more or less round, warty or spiny, 10 to $12{\mu}m$; globose, cinnamon brown in powdery mass, with spines up to $2{\mu}m$ long. The thin peridium ruptured further in response to the disintegration of the peridioles, releasing the powdery spores, which proceeded until whole fruiting body disappeared leaving the dry spore dust coats in the vicinity. The absence of a capillitium is a distinctive characteristic that distinguishes the specimen from other puff-ball fungi and from most of earthballs. Based on the above characteristics, the specimen was identified as Poslithus tinctorius.

Isolation and Characterization of Thermophilic Microorganism Producing Starch-hydrolyze Enzyme (한국 토양으로부터 전분가수분해효소를 생산하는 고온성 균주의 선별과 동정)

  • Choi, Wonseok;Bai, Dong-Hoon
    • Food Engineering Progress
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    • v.14 no.1
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    • pp.7-13
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    • 2010
  • A thermophilic microorganism, which is able to hydrolyze starch, was isolated from soil and compost in Korea. It was Gram-positive, rod-shaped, catalase positive, nonmotile, glucose and mannitol fermentative, xylose oxidative, and spore forming microorganism. It also has an ability to hydrolyze casein and gelatin. The color of colony was yellowish white. The sequence of 16S rDNA of strain 2719 showed 99.5% sequence homology with the sequence of 16S rDNA of Bacillus thermoglucosidasius. On the basis of biochemical and physiological properties and phylogenetic analysis, the isolated strain was named as Bacillus thermoglucosidasius 2719.

Breeding of Cut Rose 'Wooami Salmon' with Good Productivity (다수성 절화장미 'Wooami Salmon' 육성)

  • Han, Youn Yol;Ko, Jin Yong;Kwon, Min Kyung;Seong, Jeon Joong
    • FLOWER RESEARCH JOURNAL
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    • v.16 no.3
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    • pp.218-221
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    • 2008
  • A new cultivar of Rosa hybrida 'Wooami Salmon' was developed by crossing 'Silver 87' and 'Lambada' at Gumi Floricultural Experiment Station in 2001. Characteristics trials were conducted three times from 2003 to 2006. This cultivar showed pale salmon flower color (RHS, Orange group 27-B) and standard type with good flower shape. The flower diameter is 10.8cm and the number of petals per flower is 46. Vase life of 'Wooami Salmon' could be as long as 12.8 days. The yearly mean yields of 'Wooami Salmon' was $129stems/m^2$. 'Wooami Salmon' has good quality of cut flower and strong vigor in plant growth. This cultivar is appropriate for both soil and solution(hydroponics) cultures.

Isolation and Identification of Alkalophilic Microorganism Producing Xylanase (Xylanase를 생산하는 호알칼리성 균주의 분리 및 동정)

  • Choi, Ji-Hwi;Bai, Dong-Hoon
    • Food Engineering Progress
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    • v.14 no.3
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    • pp.263-270
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    • 2010
  • An alkalophilic microorganism named DK-2386, which produces xylanase, was isolated from soil of Taejo-mountain, Cheonan-si, Chungnam, Korea. The isolated strain was characterized as Gram-positive, with size of 0.4${\times}$2.5 ${\mu}$m, spore forming, anaerobic, catalase positive, possessed with hydrolysis abilities of casein, starch, sodium carboxy methyl cellulose, and xylan, reduction of nitrate to nitrite, resistant against lysozyme, urease positive, and motility positive. The color of culture broth was reddish yellow. The strain DK-2386 was identified as Bacillus agaradhaerens by whole cell fatty-acid composition analysis and 16S rDNA sequence analysis. However, it was not identical to Bacillus agaradhaerens 40952 obtained from the Korean Culture Center of Microorganism in its colour of culture broth. Therefore, we have named the newly isolated strain as Bacillus agaradhaerens DK-2386.

A Study on the Granulometry and Chemical Composition of Psudo-Gleized Soil in Jeongdongjin Area (정동진 의사글레이층의 입도와 화학 조성에 대한 연구)

  • Kim, Jong Yeon
    • Journal of The Geomorphological Association of Korea
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    • v.24 no.3
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    • pp.27-45
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    • 2017
  • At the upper part of terrace deposits at Jeongdongjin area, there is a structure in which reddish brown and grayish white layers laying horizontally. Previous studies have reported the existence of these structures within the deposits and suggested the theoretical background related to the formation process. However, the analysis of physical properties and chemical composition such as particle size, classification, etc. of the materials constituting the reddish brown and grayish white layers is scarcely done. In this study, the physico - chemical properties of gray - white and reddish brown beds are investigated. The mean grain size of the particles was less than $4{\varphi}$ in both layers and the reddish brown layer was more coarse. The results shows that the sorting of the grayish white layer is better. The chemical composition of both layers shows that the average concentration of $SiO_2$, $Al_2O_3$ and $K_2O$ of the grayish white layer was higher than those of the reddish brown layer. The concentration of $Fe_2O_3$ of reddish brown lyaer was 3 times higher than those of the grayish white layer. The degree of chemical weathering (CIA) is 90 or so in both the reddish brown and grayish white layers, indicating a significant level of chemical weathering. In conclusion, reddish brown layers had been formed by the processes related to the migration of iron and the migration of water that induced aggregation after the formation of sediments (psudo-gleization). In this study area, a vertical layer of grayish white which cuts off horizontal reddish brown and grayish white color was found. The vertical layer or wedge similar to a ice-wedge or columnar structure that in a cold environment, and there is a difference in shape and size. The vertical layer appears to have occurred three or more cycles. The vertical layers begin to form at a certain height within the outcrop and descend downwards, which of course is difficult to see as directing certain times.

Development of 3D Crop Segmentation Model in Open-field Based on Supervised Machine Learning Algorithm (지도학습 알고리즘 기반 3D 노지 작물 구분 모델 개발)

  • Jeong, Young-Joon;Lee, Jong-Hyuk;Lee, Sang-Ik;Oh, Bu-Yeong;Ahmed, Fawzy;Seo, Byung-Hun;Kim, Dong-Su;Seo, Ye-Jin;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.64 no.1
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    • pp.15-26
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    • 2022
  • 3D open-field farm model developed from UAV (Unmanned Aerial Vehicle) data could make crop monitoring easier, also could be an important dataset for various fields like remote sensing or precision agriculture. It is essential to separate crops from the non-crop area because labeling in a manual way is extremely laborious and not appropriate for continuous monitoring. We, therefore, made a 3D open-field farm model based on UAV images and developed a crop segmentation model using a supervised machine learning algorithm. We compared performances from various models using different data features like color or geographic coordinates, and two supervised learning algorithms which are SVM (Support Vector Machine) and KNN (K-Nearest Neighbors). The best approach was trained with 2-dimensional data, ExGR (Excess of Green minus Excess of Red) and z coordinate value, using KNN algorithm, whose accuracy, precision, recall, F1 score was 97.85, 96.51, 88.54, 92.35% respectively. Also, we compared our model performance with similar previous work. Our approach showed slightly better accuracy, and it detected the actual crop better than the previous approach, while it also classified actual non-crop points (e.g. weeds) as crops.