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"Su Eun Lim"

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"Su Eun Lim"

Research Articles
Geographic Variation of Morphological Characters among Cultivated Types of Perilla Crop and Their Weedy Types in Korea and China
Kyu Jin Sa, Dae Hyun Park, Su Eun Lim, Shi Jun Ma, Ju Kyong Lee
Plant Breed. Biotech. 2019;7(4):313-325.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.313

In this study, we detected the morphological variation of 83 Perilla accessions from Korea and China by observing the measurements of seven quantitative and eight qualitative characters. Most accessions of cultivated var. frutescens from Southern China showed higher plant height than accessions from Korea and Northern China. The accessions of cultivated var. frutescens from Southern China have a relatively late flowering time, while there were three types of accessions for cultivated var. frutescens from Korea and Northern China: early-maturity, middle-maturity, and late-maturity. These results indicate that latitude with geographical distribution may be an essential factor affecting the flowering time in Perilla species in East Asia. In principal components analyses (PCAs), four quantitative traits and five qualitative characters contributed in the positive direction on the first axis. The accessions of cultivated var. frutescens were clearly separated from accessions of cultivated and weedy types of var. crispa in the PCAs, while the accessions of cultivated and weedy types of var. crispa revealed no separation. In addition, most accessions of weedy type of var. frutescens were not clearly separated with the accessions of cultivated and weedy types of var. crispa. In this study, we have provided the information regarding the morphological variation of accessions of two cultivated types of Perilla crop and their weedy types from Korea and China. The findings provide further insight into the morphological variations and differentiation of Perilla accessions with different geographical distributions in Korea and China.

Citations

Citations to this article as recorded by  
  • Construction of a core collection of Perilla frutescens (L.) Britton Germplasm in the South Korean gene bank using agro-morphological traits
    Hyeon Park, Tae Hyeon Heo, Da Hyeon Lee, Jungeun Cho, Ju Kyong Lee
    Industrial Crops and Products.2025; 235: 121783.     CrossRef
  • Phylogenetic analysis of Perilla crop (Perilla frutescens L.) based on morphological characteristics and volatile substances
    Jungeun Cho, Hyeon Park, Tae Hyeon Heo, Kyu Jin Sa, Ju Kyong Lee
    Genetic Resources and Crop Evolution.2025; 72(3): 2959.     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
  • Evaluation of Agronomic Traits, Total Phenolic Content, and Antioxidant Properties of Sesame Seeds of Different Colors and Origin
    Collins Yeboah Osei, Sookyeong Lee, Gi-An Lee, Sae Hyun Lee, Eunae Yoo, Jae-Eun Lee, Eun-Gyeong Kim, Tae-Jin Yang
    Foods.2024; 13(18): 2932.     CrossRef
  • Morphological Variation in Normal Maize Landrace Accessions Collected from South Sudan
    Emmanuel Andrea Mathiang, Kyu Jin Sa, Hyeon Park, So Jung Jang, Ju Kyong Lee
    Plant Breeding and Biotechnology.2023; 11(1): 15.     CrossRef
  • Metabolites and chemometric study of Perilla (Perilla frutescens) from different varieties and geographical origins
    Yuan Li, Yue Zhang, Youyou Wang, Xiang Li, Li Zhou, Jian Yang, Lanping Guo
    Journal of Food Science.2022; 87(12): 5240.     CrossRef
  • Cultivation of Perilla frutescens (Lamiaceae) in prehistoric Korea
    Brian Li, Minkoo Kim
    Journal of Archaeological Science: Reports.2021; 40: 103224.     CrossRef
  • Metabolite Profiling and Chemometric Study for the Discrimination Analyses of Geographic Origin of Perilla (Perilla frutescens) and Sesame (Sesamum indicum) Seeds
    Tae Jin Kim, Jeong Gon Park, Hyun Young Kim, Sun-Hwa Ha, Bumkyu Lee, Sang Un Park, Woo Duck Seo, Jae Kwang Kim
    Foods.2020; 9(8): 989.     CrossRef
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Genetic Diversity and Association Analyses of Chinese Maize Inbred Lines Using SSR Markers
Yin Vathana, Kyu Jin Sa, Su Eun Lim, Ju Kyong Lee
Plant Breed. Biotech. 2019;7(3):186-199.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.186

We selected 68 Chinese maize inbred lines to understand the genetic diversity, population structure, and marker-trait associations for eight agronomic traits and 50 simple sequence repeats (SSRs) markers. In this study, effective traits, such as days of anthesis (DA), days of silking (DS), ear height (EH), plant to ear height ratio (ER), plant height (PH), and leaf width (LW) were divided into PC1 and PC2 by PCA analysis for maize inbred lines. Genetic diversity analysis revealed a total of 506 alleles at 50 SSR loci. The mean number of alleles per locus was 10.12. The averages of genetic diversity (GD) and polymorphic information content (PIC) values were 0.771 and 0.743, respectively. Based on a membership probability threshold of 0.80, the population structure revealed that the total inbred lines were divided into three major groups with one admixed group. A marker-trait association using Q + K MLM showed that nine SSR markers (bnlg1017, umc2041, umc2400, bnlg105, umc1229, umc1250, umc1066, umc2092, and umc1426) were related with seven agronomic traits. Among these SSR markers, eight SSR markers were associated with only one agronomic trait (DA, DS, ER, LL, LW, PH, and ST), whereas one SSR marker (umc1229) was associated with two agronomic traits (DA and ST). These results will help in optimizing the choice of inbred lines for cross combinations, as well as in selecting markers for further maize breeding programs.

Citations

Citations to this article as recorded by  
  • Assessment of combining ability for grain yield and its attributing traits in maize (Zea mays L.)
    Jiban Shrestha, Surya Kant Ghimire, Krishna Hari Dhakal, Mahendra Prasad Tripathi
    Discover Agriculture.2026;[Epub]     CrossRef
  • Mapping of quantitative trait loci associated with fodder quality traits in forage maize (Zea mays L.)
    Palaniyappan Subramani, Ganesan Kalipatty Nalliappan, Manivannan Narayana, Senthil Natesan
    Euphytica.2025;[Epub]     CrossRef
  • Phylogenetic analysis of Perilla crop (Perilla frutescens L.) based on morphological characteristics and volatile substances
    Jungeun Cho, Hyeon Park, Tae Hyeon Heo, Kyu Jin Sa, Ju Kyong Lee
    Genetic Resources and Crop Evolution.2025; 72(3): 2959.     CrossRef
  • Molecular diversity, population structure analysis, and assessment of parent hybrid relationships in fodder maize
    Palaniyappan Subramani, Ganesan Kalipatty Nalliappan, Manivannan Narayana, Ravichandran Veerasamy, Senthil Natesan
    Crop Breeding and Applied Biotechnology.2024;[Epub]     CrossRef
  • Selection of superior and stable fodder maize hybrids using MGIDI and MTSI indices
    Palaniyappan Subramani, Ganesan Kalipatty Nalliappan, Manivannan Narayana, Ravichandran Veerasamy, Senthil Natesan
    Crop Breeding and Applied Biotechnology.2024;[Epub]     CrossRef
  • Association Mapping for Evaluation of Population Structure, Genetic Diversity, and Physiochemical Traits in Drought-Stressed Maize Germplasm Using SSR Markers
    Muhammad Zahaib Ilyas, Hyeon Park, So Jung Jang, Jungeun Cho, Kyu Jin Sa, Ju Kyong Lee
    Plants.2023; 12(24): 4092.     CrossRef
  • Uncovering microsatellite markers associated with agronomic traits of South Sudan landrace maize
    Emmanuel Andrea Mathiang, Hyeon Park, So Jung Jang, Jungeun Cho, Tae Hyeon Heo, Ju Kyong Lee
    Genes & Genomics.2023; 45(12): 1587.     CrossRef
  • Morphological Variation in Normal Maize Landrace Accessions Collected from South Sudan
    Emmanuel Andrea Mathiang, Kyu Jin Sa, Hyeon Park, So Jung Jang, Ju Kyong Lee
    Plant Breeding and Biotechnology.2023; 11(1): 15.     CrossRef
  • Genetic diversity and population structure analysis in early generations maize inbreds derived from local germplasm of Eastern Himalayan regions using microsatellite markers
    E. Lamalakshmi Devi, Umakanta Ngangkham, Sunil Kumar Chongtham, Bhuvaneswari S, Ingudam Bhupenchandra, Konsam Sarika, Harendra Verma, Akoijam Ratankumar Singh, Amit Kumar, Tensubam Basanta Singh, Amit Kumar, T. L. Bhutia, S. K. Dutta, Shaon Kumar Das, Ram
    Plant Genetic Resources: Characterization and Utilization.2023; 21(5): 418.     CrossRef
  • Identification of SSR Markers Associated with Yield-Related Traits and Heterosis Effect in Winter Oilseed Rape (Brassica Napus L.)
    Joanna Wolko, Agnieszka Łopatyńska, Łukasz Wolko, Jan Bocianowski, Katarzyna Mikołajczyk, Alina Liersch
    Agronomy.2022; 12(7): 1544.     CrossRef
  • Genetic Diversity and Population Structure of Normal Maize Germplasm Collected in South Sudan Revealed by SSR Markers
    Emmanuel Andrea Mathiang, Kyu Jin Sa, Hyeon Park, Yeon Joon Kim, Ju Kyong Lee
    Plants.2022; 11(20): 2787.     CrossRef
  • Using of Molecular Markers in Prediction of Wheat (Triticum aestivum L.) Hybrid Grain Yield Based on Artificial Intelligence Methods and Multivariate Statistics
    E. E. Shamsabadi, H. Sabouri, H. Soughi, S. J. Sajadi
    Russian Journal of Genetics.2022; 58(5): 603.     CrossRef
  • Genetic characterization and association mapping in near-isogenic lines of waxy maize using seed characteristics and SSR markers
    Hae Ri Kim, Kyu Jin Sa, Min Nam-Gung, Ki Jin Park, Si-Hwan Ryu, Chang Yeun Mo, Ju Kyong Lee
    Genes & Genomics.2021; 43(1): 79.     CrossRef
  • Genetic variation and association mapping in the F2 population of the Perilla crop (Perilla frutescens L.) using new developed Perilla SSR markers
    Ju Yeon Kim, Kyu Jin Sa, Ye Ju Ha, Ju Kyong Lee
    Euphytica.2021;[Epub]     CrossRef
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  • 14 Crossref