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"Hyun Young Kim"

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"Hyun Young Kim"

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들깨의 FT-IR 스펙트럼 데이터로부터 다변량통계분석을 이용한 원산지 판별
Multivariate Analysis of FT-IR Spectroscopy Data from Different Countries of Perilla Seeds
Ji Yeong Yang, Hyun Young Kim, Mi Ja Lee, Woo Duck Seo, June-Yeol Choi, Seung-Yeob Song
Korean. J. Breed. Sci. 2022;54(3):195-202.
Published online September 1, 2022
DOI: https://doi.org/10.9787/KJBS.2022.54.3.195

To determine whether Fourier-transform infrared (FT-IR) spectral analysis based on multivariate analysis for whole-cell extracts can be used to discriminate different countries of Perilla seeds at the metabolic level, leaves of Perilla seeds were subjected to FT-IR spectroscopy. FT-IR spectral data of leaves were analyzed by principal component analysis (PCA), partial least square discriminant analysis (PLS-DA), and hierarchical clustering analysis (HCA). FT-IR spectra confirmed typical spectral differences between frequency regions of 1,700-1,500, 1,500-1,300, and 1,100-950 cm-1. These spectral regions reflect the quantitative and qualitative variations of amide I, II in amino acids and proteins (1,700-1,500 cm-1), phosphodiester groups in nucleic acids and phospholipids (1,500-1,300 cm-1), and carbohydrates (1,100-950 cm-1). PCA revealed separate clusters corresponding to their country relationship. Thus, PCA could be used to distinguish between countries of origin with different metabolite contents. And PLS-DA showed a similar country classification of Perilla seeds. Furthermore, these metabolic discrimination systems could be used for the rapid selection and classification of useful field crop cultivars.

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  • Metabolic Discrimination of Mungbean (Vigna radiata L.) Sprout Depending on Growth Time from Multivariate Analysis of FT-IR Spectroscopy Data
    Song Yie Park, Yeong Jae Ah, Eun Ji Suh, Eun Bin Choi, Mi Ja Lee, Han Gyeol Lee, Woo Duck Seo, Yu-Na Kim, Seung-Yeob Song
    Korean Journal of Breeding Science.2024; 56(3): 269.     CrossRef
  • Determination of Production Year Using Multivariate Statistical Analysis from FTIR Spectrum Data of Perilla Leaves
    Hye-Young Seo, Eun Ji Suh, Eun Bin Choi, Mi Ja Lee, Han Gyeol Lee, Woo Duck Seo, Jung In Kim, Seung-Yeob Song
    Korean Journal of Breeding Science.2024; 56(1): 11.     CrossRef
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대립 내도복 다수성 된장·두부용 콩 품종 ‘선풍’
Large seed, Lodging resistant and High yield Soybean Cultivar ‘Seonpung’ for Soy-paste and Tofu
Hyun Tae Kim, Jong Min Ko, Byoung Won Lee, Hong Tae Yun, Yeong Hoon Lee, Sang Ouk Shin, Min Jung Seo, Man Soo Choi, Myeong gi Jeon, Beom Kyu Kang, Hyun Young Kim, Jeong Hyun Seo, Hong Sik Kim, Woo Sam Yang, Jung Ho Shin, In Seok Oh
Korean. J. Breed. Sci. 2017;49(2):96-102.   Published online June 1, 2017
DOI: https://doi.org/10.9787/KJBS.2017.49.2.96

Soybean cultivar ‘Seonpung’ was developed for soy-paste and tofu. Suwon 224 and YS1325-3S-2 were crossed in 2003 and selected from F3 to F5 by pedigree method. The preliminary yield trial (PYT) and advanced yield trial (AYT) were conducted from 2009 to 2010, and regional yield trial (RYT) in twelve regions was conducted from 2011 to 2013. In RYT, ‘Seonpung’ was stable in variable environments and a high yield cultivar. ‘Seonpung’ is determinate, white flower, yellow spherical seed and yellow hilum. Flowering date and maturity date were Aug. 5 and Oct. 19, respectively. Plant height was similar to ‘Daewonkong (standard cultivar)’. However ‘Seonpung’ has higher node number (16) and seed weight (25.9g/100-seed weight) than ‘Daewonkong’ (14 and 24.2g/100-seed weight). ‘Seonpung’ is resistant to root rot, and it also has high level of resistance to bacterial pustule and soybean mosaic virus. The yield of tofu of ‘Seonpung’ was 241%, and noticeably lighter, and solidity was higher than ‘Daewonkong’. Soybean malt scent, fermented soybean yield and γ-polyglutamic acid (γ-PGA) of ‘Seonpung’ were 4, 181% and 31.7㎎/g. The yield in adaptable regions was 340kg/10a (21% increase compared to ‘Daewonkong’). ‘Seonpung’ is expected to be cultivated and used widely for soy-paste and tofu. (Registration number: 5931)

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  • Generation of Processed‐to‐Raw Food Conversion Factors for Estimating Food Raw Material Intake From Various Processed Foods: Valuable Tools for Dietary Exposure Assessments
    Jiyun Baek, Yerim Han, Chaehyun Kim, You Rim Kang, Seung Hui Baik, Yoon Jung Park, Ji‐Myung Kim, Youngjoo Kwon
    Food Science & Nutrition.2025;[Epub]     CrossRef
  • Functional Properties Modulation of Soybean, Adzuki Bean, Mung Bean, and Peanut Proteins Through Alkaline Extraction pH
    Hyun‐Jin Park, You‐Geun Oh, Areum Chun, Jung Hyun Seo, Eunyoung Oh, Ji Ho Chu, Young Kwang Ju, Sang‐Jin Ye
    Food Science & Nutrition.2025;[Epub]     CrossRef
  • Lodging and Bacterial Pustule Resistant Soybean Cultivar ‘Saedeul’ with a Saddle-Patterned Seed Coat
    Jeong Hyun Seo, Beom Kyu Kang, Jun Hoi Kim, Su Vin Heo, Won Young Han, Yeong Hoon Lee, Gi Rim Park, Ki Young Kim
    Korean Journal of Breeding Science.2025; 57(2): 189.     CrossRef
  • Stomatal Density Variation Within and Among Different Soybean Cultivars Across Various Growth Stages
    Syada Nizer Sultana, Hyun Jo, Jong Tae Song, Kihwan Kim, Jeong-Dong Lee
    Agriculture.2024; 14(11): 2028.     CrossRef
  • Development of Fast and Simple Processing Method to Evaluate Tofu Traits in Soybean Breeding System
    Jiyoung Jung, Ji-Min Kim, Taeklim Lee, Jinho Heo, Ilseob Shin, Ju Seok Lee, Sungtaeg Kang
    Korean Journal of Breeding Science.2022; 54(1): 34.     CrossRef
  • Soybean Cultivar ‘Hipro’ for Tofu and Soymilk with High Seed Protein Content and Pod Shattering Resistance
    Ji-Min Kim, Ilseob Shin, Soo-Kwon Park, Man Soo Choi, Jeong-Dong Lee, Bo-Keun Ha, Juseok Lee, Yang Jae Kang, Soon-Chun Jeong, Jung-Kyung Moon, Sungteag Kang
    Korean Journal of Breeding Science.2021; 53(1): 60.     CrossRef
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침수에 의한 습해 저항성 콩 유전자원 선발
Screening of Flooding Tolerance in Soybean Germplasm Collection
Sung Cheol Koo, Hyun Tae Kim, Beom Kyu Kang, Young Hoon Lee, Ki Won Oh, Hyun Young Kim, In Youl Baek, Hong Tai Yun, Man Soo Choi
Korean. J. Breed. Sci. 2014;46(2):129-135.   Published online June 30, 2014
DOI: https://doi.org/10.9787/KJBS.2014.46.2.129

Soybean [Glycine max. (L.) Merr] is one of the most important legumes in the world. However, soybean varieties are sensitive to flooding stress and their seed yields are substantially reduced in response to the flooding stress. 192 soybean germplasm collection was screened to identify flooding tolerant germplasm at an early vegetative growth stage (V1). Soybean plants at V1 stage were waterlogged for 4 to 10 days. To evaluate flooding tolerance, survival rate were investigated as a time dependent manner. Jangbaegkong, Danbaegkong, Sowonkongkong, Socheong2 and Suwon269 showed flooding tolerance, while Shillog, T201, T181, NTS1116 and HP-963 showed flooding sensitivity. We also investigated effects of flooding stress on soybean morphology. The adventitious root development was greatly increased in flooding tolerant plants compared to it in flooding sensitive plants. In addition, root length and root number were analyzed. The significant reduction of root length and root number was observed in flooding sensitive plants. Thus, these results indicate that the morphological changes in roots are important for acclimation to flooding stress. Taken together, the relationship between the morphological changes in the roots and flooding tolerance may be useful in selecting a flooding tolerant soybean germplasm.

Citations

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  • The Effect of Sowing Date on Soybean Growth and Yield Under Changing Climate in the Southern Coastal Region of Korea
    SeEun Chae, Pyeong Shin, JongTag Youn, JwaKyung Sung, SeungHo Jeon
    Agriculture.2025; 15(11): 1174.     CrossRef
  • Characterization of the Regulatory Network under Waterlogging Stress in Soybean Roots via Transcriptome Analysis
    Yo-Han Yoo, Seung-Yeon Cho, Inhye Lee, Namgeol Kim, Seuk-Ki Lee, Kwang-Soo Cho, Eun Young Kim, Ki-Hong Jung, Woo-Jong Hong
    Plants.2024; 13(18): 2538.     CrossRef
  • Identification of QTL for Tolerance to Flooding Stress at Seedling Stage of Soybean (Glycine max L. Merr.)
    Sanjeev Kumar Dhungana, Hong-Sik Kim, Beom-Kyu Kang, Jeong-Hyun Seo, Hyun-Tae Kim, Sang-Ouk Shin, Jae-Hyeon Oh, In-Youl Baek
    Agronomy.2021; 11(5): 908.     CrossRef
  • Analysis of differentially expressed genes in soybean leaf tissue of tolerant and susceptible cultivars under flooding stress revealed by RNA sequencing
    Sanjeev K. Dhungana, Hong-Sik Kim, Beom-Kyu Kang, Jeong-Hyun Seo, Hyun-Tae Kim, Jae-Hyeon Oh, Sang-Ouk Shin, In-Yeol Baek
    Journal of Crop Science and Biotechnology.2021; 24(1): 83.     CrossRef
  • Establishment of Soil Suitability and Assessment of Wet Injury in Astragalus membranaceus (Fisch.) Bunge by Soil Properties
    Eun Song Lee, Geun Soo Hyeon, Yong Il Kim, Jae Ki Chang, Tae Jin An
    Korean Journal of Medicinal Crop Science.2021; 29(4): 273.     CrossRef
  • Yearly Variation of Isoflavone Composition and Yield-Related Traits of 35 Korean Soybean Germplasm
    Hyemyeong Yoon, Jungyoon Yi, Kebede taye Desta, Myong-Jae Shin, Yoonjung Lee, Sukyeung Lee, Xiaohan Wang, Yu-Mi Choi, Sungwoo Lee
    Korean Journal of Breeding Science.2021; 53(4): 411.     CrossRef
  • Quantitative trait loci mapping for flooding tolerance at an early growth stage of soybean recombinant inbred line population
    Sanjeev K. Dhungana, Hong‐Sik Kim, Beom‐Kyu Kang, Jeong‐Hyun Seo, Hyun‐Tae Kim, Sang‐Ouk Shin, Chang‐Hwan Park, Do‐Yeon Kwak, Bradley Morris
    Plant Breeding.2020; 139(3): 626.     CrossRef
  • Exo-ethylene application mitigates waterlogging stress in soybean (Glycine max L.)
    Yoonha Kim, Chang-Woo Seo, Abdul Latif Khan, Bong-Gyu Mun, Raheem Shahzad, Jeung-Woo Ko, Byung-Wook Yun, Soon-Ki Park, In-Jung Lee
    BMC Plant Biology.2018;[Epub]     CrossRef
  • A New Soybean Cultivar, 'Gangpoong' for Soy-Paste and Tofu with Large Seeds and Lodging Resistance
    Eun Seob Yi, Jin Young Kim, Jong Hyong Lee, Jin Goo Lee, Jeong A Han, Chang Seong Kang
    Korean Journal of Breeding Science.2018; 50(3): 307.     CrossRef
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