• The Plant Pathology Journal
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• v.39 no.3
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• pp.275-289
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• 2023

Fungal isolates from infected Chinese quince trees were found to cause black rot in Yeongcheon, Gyeongsangbuk Province, Korea. The quince leaves withered and turned reddish-brown and fruits underwent black mummification. To elucidate the cause of these symptoms, the pathogen was isolated from infected leaf and fruit tissues on potato dextrose agar and Levan media. Several fungal colonies forming a fluffy white or dark gray mycelium and two types of fungi forming an aerial white mycelium, growing widely at the edges, were isolated. Microscopic observations, investigation of fungal growth characteristics on various media, and molecular identification using an internal transcribed spacer, β-tubulin, and translation elongation factor 1-α genes were performed. The fungal pathogens were identified as Diplodia parva and Diplodia crataegicola. Pathogenicity tests revealed that the pathogen-inoculated fruits exhibited a layered pattern, turning brown rotting; leaves showed circular brown necrotic lesions. The developed symptoms were similar to those observed in the field. Fungal pathogens were reisolated to fulfill Koch's postulates. Apples were inoculated with fungal pathogens to investigate the host range. Strong pathogenicity was evident in the fruits, with browning and rotting symptoms 3 days after inoculation. To determine pathogen control, a fungicidal sensitivity test was conducted using four registered fungicides. Thiophanate-methyl, propineb, and tebuconazole inhibited the mycelial growth of pathogens. To the best of our knowledge, this is the first report on the isolation and identification of the fungal pathogens D. parva and D. crataegicola from infected fruits and leaves of Chinese quince, causing black rot disease in Korea.

• Journal of Korean Society of Forest Science
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• v.10 no.1
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• pp.41-45
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• 1970

This study was carried out to investigate the identification of the woods of commercially important exotic tree species grown in Korea. The test trees used in this study were selected 21 species grown in Kwangyang and Suwon, Korea. The items of macroscopical features were observed and examined principally on the annual rings, transitions spring to the summerwood, pore types and arrangements, sap and heartwoods, wood colors, odor and tastes, resin ducts, parenchymas, and rays etc. The microscopical features observable in the elements, and their compositions such as vessels, tracheids, wood fibers, ray parenchyma cells, and intercellular cannals were observed and measured. The observed and measured results investigated were synthesized, and accordance with these results macroscopical and microscopical keys were prepared for the wood identification as seen in the text.

• Conservation Science in Museum
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• v.10
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• pp.29-42
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• 2009

This paper explores the types (species of trees) of 25 pieces of waterlogged wood excavated from the area between Gwangju and Jangseong during road expansion by the Gwangju National Museum. These 25 pieces of wood include nine pieces of Quercus (Lepidobalanus Cerris)sp., six pieces of Quercus (Lepidobalanus Prinus)sp., three pieces of Castanea sp., two pieces of Salix sp., one piece of Alnus sp., one piece of Prunus sp., one piece of Morus sp., one piece of Chionanthus sp., and one piece of Acanthopanax sp.

• Mycobiology
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• v.35 no.2
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• pp.87-90
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• 2007

A total of 520 overwintered sclerotia were collected from surface of soil under mulberry trees in six locations in Korea during February in 2006 and 2007. The collected sclerotia were tested for their germination in vitro and identified based on their morphological characteristics. Out of all sclerotia tested, 52.3% of the sclerotia germinated and produced two types of apothecia. The two types of fungi occurred from the sclerotia at the ratio of 49.8 vs. 50.2. The fungal type with cup-shaped apothecia was identified as Ciboria shiraiana and another type of fungus with club-shaped apothecia as Scleromitrula shiraiana. Taxonomy and distribution of the two sclerotial fungi were described and discussed.

• Research in Plant Disease
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• v.29 no.3
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• pp.299-303
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• 2023

Rust symptoms on Meliosma myriantha trees have been noticed during disease surveys in Korea since 2010, with a high disease incidence frequently surpassing 90%. The causal fungus of the rust disease was identified as Neophysopella vitis based on the morphological investigation and molecular sequence analysis of the internal transcribed spacer (ITS) and large subunit (LSU) rDNA regions. This is the first report of rust disease caused by N. vitis on M. myriantha in Korea. A pathogenicity assay proved that M. myriantha serves as the aecial host of N. vitis as spermogonia and aeciospores were produced, which can infect the two uredinial hosts, Boston ivy (Parthenocissus tricuspidata) and Virginia creeper (Parthenocissus quinquefolia).

• Korean Journal of Remote Sensing
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• v.7 no.2
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• pp.149-163
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• 1991

This paper discusses the capabilities of airborne remotely sensed data to detect and classify forest damades. In this work the AMS (Aircraft Multiband Scanner) was used to obtain digital imagery at 300m altitude for forest damage inventory in the Black Forest of Germany. MSS(Multispectral Scanner) digital numbers were converted to spectral emittance and radiance values in 8 spectral bands from the visible to the thermal infrared and submitted to a maximum-likelihood classification for : (1) tree species ; and. (2) damage classes. As expected, the resulted, the results of MSS data with high spatial resolution 0.75m$\times$0.75m enabled the detection and identification of single trees with different damages and were nearly equivalent to the truth information of ground checked data.

• Mycobiology
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• v.51 no.1
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• pp.16-25
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• 2023

Lecanora is one of the largest genera of lichens worldwide. These lichens can be easily seen, and are commonly found on trees and rocks. Most Korean Lecanora species belong to the Lecanora subfusca group, which has well-defined superficial thallus, red-brown apothecia, and soredia. The new species of L. neobarkmaniana grows on rocks, farinose soredia coalescing, usually covering the whole thallus, and containing atranorin and zeorin. We used internal transcribed spacer (ITS) and mitochondrial small subunit (mtSSU) sequence data to identify the phylogenetic relationship across Lecanora sequence data and found the species to form different clades. In this study, we reported some interesting findings and described the genetic relationship with other sorediate Lecanora species and the characteristics of the new species. An identification key for the Korean sorediate Lecanora species is given.

• 한국데이터정보과학회:학술대회논문집
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• 2003.10a
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• pp.215-228
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• 2003

Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, interaction effect identification, category merging and discretizing continuous variable, etc. CHAID(Chi-square Automatic Interaction Detector), is an exploratory method used to study the relationship between a dependent variable and a series of predictor variables. CHAID modeling selects a set of predictors and their interactions that optimally predict the dependent measure. In this paper we explore CHAID algorithm in view of accuracy and speed by sampling proportion.

• Korean Journal Plant Pathology
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• v.14 no.5
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• pp.382-385
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• 1998

Molecular identification and genetic relationships between a phytoplasma associated with chestnut little leaf (CLL) and phytoplasma isolates of other trees in Korea were amplified by polymerase chain reaction (PCR). These 16S rDNA sequences amplified from the various phytoplasmas were used in DNA heteroduplex mobility assays (HMA). In DNA HMA combined with PCR, the mobility shift was observed for a heteroduoplex formed in combined with CLL and jujube witches broom, but not for those formed in combined with CLL and each of sumac witches broom, paulownia witches broom, and mulberry dwarf. HMA combined with PCR has been shown to be a very useful method for detection and differentiation of phytoplasmas.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.5
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• pp.358-365
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• 2016

We propose a novel application of random forest, a machine learning-based general classification algorithm, to analyze the influence of design attributes on the silicon-to-SPICE (S2S) gap. To improve modeling accuracy, we introduce magnification of learning data as well as randomization for the counting of design attributes to be used for each tree in the forest. From the automatically generated decision trees, we can extract the so-called importance and impact indices, which identify the most significant design attributes determining the S2S gap. We apply the proposed method to actual silicon data, and observe that the identified design attributes show a clear trend in the S2S gap. We finally unveil 10nm key fin-shaped field effect transistor (FinFET) structures that result in a large S2S gap using the measurement data from 10nm test vehicles specialized for model-hardware correlation.