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Your search keyword '"Cho, Gyu-Taek"' showing total 132 results
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132 results on '"Cho, Gyu-Taek"'

3. A Study on the Infrageneric Classification of Hordeum Using Multiple Methods: Based on Morphological Data.

Author

Ro, Nayoung, Sung, Pilmo, Haile, Mesfin, Yoon, Hyemyeong, Yu, Dong-Su, Ko, Ho-Cheol, Cho, Gyu-Taek, Woo, Hee-Jong, and Chung, Nam-Jin

Subjects
BARLEY, BIOLOGICAL evolution, HIERARCHICAL clustering (Cluster analysis), DISCRIMINANT analysis, RANDOM forest algorithms, HORDEUM
Abstract

The genus Hordeum (barley) represents an essential group within the Poaceae family, comprising diverse species with significant ecological and economic importance. This study aims to improve the infrageneric classification of Hordeum by integrating multiple analytical approaches based on morphological data. A comprehensive dataset of key morphological traits was compiled from a wide range of Hordeum accessions, including representatives from all major taxonomic groups within the genus. Understanding and classifying the evolutionary traits of barley species, particularly in terms of environmental adaptation, pest resistance, and productivity improvement, is essential. DNA-based classification methods allow precise molecular-level analysis but are resource-intensive, especially when large-scale processing is required. This study addresses these limitations by employing an integrative approach combining hierarchical clustering, Principal Component Analysis–Linear Discriminant Analysis (PCA-LDA), and Random Forest (RF) to analyze the compiled morphological datasets. Morphological clustering via hierarchical analysis revealed clear taxonomic distinctions, achieving 86.0% accuracy at the subgenus level and 83.1% at the section level. PCA-LDA further refined classification by identifying key traits such as seed width, area, and 100-seed weight as primary contributors, achieving perfect accuracy for the Hordeum section and high accuracy for species like Hordeum vulgare and Hordeum spontaneum. RF analysis enhanced classification performance, achieving 100% accuracy at the section level and high accuracy for species with sufficient data. This approach offers a new framework for classifying diverse barley species and contributes significantly to data-driven decision-making in breeding and conservation efforts, supporting a deeper understanding of barley's adaptive evolution in response to environmental changes. [ABSTRACT FROM AUTHOR]

Published
2025
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16. Genome-Wide SNP Markers for Genotypic and Phenotypic Differentiation of Melon (Cucumis melo L.) Varieties Using Genotyping-by-Sequencing

Author

Hyun, Do Yoon, primary, Sebastin, Raveendar, additional, Lee, Gi-An, additional, Lee, Kyung Jun, additional, Kim, Seong-Hoon, additional, Yoo, Eunae, additional, Lee, Sookyeong, additional, Kang, Man-Jung, additional, Lee, Seung Bum, additional, Jang, Ik, additional, Ro, Na-Young, additional, and Cho, Gyu-Taek, additional

Published
2021
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31. Comparison of the Diversity of East Asian Oat (Avena sativaL.) Genetic Resources by Origins, Considering Major Nutritional Ingredients and Agronomic Traits

Author

Lee, Sukyeung, primary, Yoon, Hyemyeong, additional, Lee, Myung-chul, additional, Oh, Sejong, additional, Rauf, Muhammad, additional, Hur, On sook, additional, Ro, Na Young, additional, Yi, Jungyoon, additional, Hyun, Do yoon, additional, Cho, Gyu Taek, additional, Ko, Hocheol, additional, and Choi, Yu-Mi, additional

Published
2019
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34. Interspecific variation of seed morphological and micro‐morphological traits in the genus Vicia (Fabaceae).

Author

Han, Seahee, Sebastin, Raveendar, Lee, Kyung Jun, Wang, XiaoHan, Shin, Myoung‐Jae, Kim, Seong‐Hoon, Lee, Sookyeong, Lee, Jung‐Ro, Cho, Gyu‐Taek, Hyun, Do Yoon, and Chung, Jong‐Wook

Abstract

Seed macro‐ and micro‐morphology were analyzed to evaluate their capacity to discriminate species in the genus Vicia (Fabaceae). To assess the interspecific variation of the taxa in the genus Vicia, 41 accessions were obtained from the USDA‐ARS germplasm collection in the USA and 19 accessions were collected from Korea. Seed morphological characteristics such as shape, color, mottling, finish, length, width, diameter, hilum shape, hilum color, hilum length, and lens distance from the hilum were examined under a stereomicroscope. Testa texture characteristics such as testa pattern, papillae type, density, height, ribbing, surface deposits, and peaks topped with wax were examined under scanning electron microscopy. Various gross‐morphological traits of seeds of Vicia species have been analyzed and compared. The present study revealed significant variation in testa traits. Testa were papillose and papillose with mounds, the latter being observed only in Vicia lathyroides. The present study revealed 20 key traits that could be used to diagnose Vicia species and classify them. [ABSTRACT FROM AUTHOR]

Published
2021
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45. Investigation of Seed Garlic Production using Bulbils and Production of Garlic using None-cloved Bulb in Flowering Garlic (Allium Longicuspis R.) Introduced from Central Asia

Author

Lee, Gi-An, primary, Ko, Ho-Cheol, additional, Cho, Gyu-Taek, additional, Lee, Jung-Ro, additional, Sung, Jung-Sook, additional, Yi, Jung-Yoon, additional, Lee, Young-Yi, additional, Liu, Wei Xian, additional, Yuan, Dong Lin, additional, Xuan, Ying Shi, additional, and Gwag, Jae-Gyun, additional

Published
2015
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48. Comparative efficacy of four candidate DNA barcode regions for identification of Vicia species.

Author

Raveendar, Sebastin, Lee, Jung-Ro, Shim, Donghwan, Lee, Gi-An, Jeon, Young-Ah, Cho, Gyu-Taek, Ma, Kyung-Ho, Lee, Sok-Young, Sung, Gi-Ho, and Chung, Jong-Wook

Subjects
VETCH, PLANT DNA, LEGUMES, PLANT phylogeny, PLANT germplasm, NUCLEOTIDE sequencing
Abstract

The genus Vicia L., one of the earliest domesticated plant genera, is a member of the legume tribe Fabeae of the subfamily Papilionoideae (Fabaceae). The taxonomic history of this genus is extensive and controversial, which has hindered the development of taxonomic procedures and made it difficult to identify and share these economically important crop resources. Species identification through DNA barcoding is a valuable taxonomic classification tool. In this study, four DNA barcodes (ITS2, matK, rbcL and psbA-trnH) were evaluated on 110 samples that represented 34 taxonomically best-known species in the Vicia genus. Topologies of the phylogenetic trees based on an individual locus were similar. Individual locus-based analyses could not discriminate closely related Vicia species. We proposed a concatenated data approach to increase the resolving power of ITS2. The DNA barcodes matK, psbA-trnH and rbcL were used as an additional tool for phylogenetic analysis. Among the four barcodes, three-barcode combinations that included psbA-trnH with any two of the other barcodes (ITS2, matK or rbcL) provided the best discrimination among Vicia species. Species discrimination was assessed with bootstrap values and considered successful only when all the conspecific individuals formed a single clade. Through sequencing of these barcodes from additional Vicia accessions, 17 of the 34 known Vicia species could be identified with varying levels of confidence. From our analyses, the combined barcoding markers are useful in the early diagnosis of targeted Vicia species and can provide essential baseline data for conservation strategies, as well as guidance in assembling germplasm collections. [ABSTRACT FROM AUTHOR]

Published
2017
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