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"Morphological traits"

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"Morphological traits"

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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Analysis of Qualitative and Quantitative Traits to Identify Different Chinese Jujube Cultivars
Sea-Hyun Kim, Jae-Ik Nam, Chul-Woo Kim
Plant Breed. Biotech. 2019;7(3):175-185.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.175

Chinese jujube (Ziziphus jujuba Mill.) is highly resistant to environmental stress and can be easily cultivated, thus many jujube cultivars are being developed. However, the same cultivars had been cultivated with different names. Thus, systematic management is required to protect the intellectual property of different varieties. To aid systematic control of jujube cultivars, this study presents efficient markers for distinguishing cultivars through identification of morphological characteristics and relationships among 25 jujubes. Among 10 qualitative characteristics, flowering time, fructification time, presence of thorns, and shape of fruit were found to be useful traits for the cultivar identification. In the results of principal component analysis, 3 principal components (PC) represented 73% for the total variations. PC1 showed high positive correlations with fruit–related characteristics and PC2 formed a cluster with leaf-related characteristics. Therefore, the differences in fruit and leaf were identified as useful traits for the cultivar identification. According to the results of cluster analysis, which largely divided cultivars into 4 clusters, Sour jujube 2, with smaller fruits and leaves, was separated first. Cluster II included Chinese cultivars with large fruit sizes, such as Dalizao, Dabailing, Damaya, and Daguazao. Three Korean cultivars were grouped with Bokjo, Panzao, Zanhuangdazao, and Jinsi No. 3, and the remaining 13 cultivars formed a separate cluster.

Citations

Citations to this article as recorded by  
  • Discriminative Power of Geometric Parameters of Different Cultivars of Sour Cherry Pits Determined Using Machine Learning
    Ewa Ropelewska, Kadir Sabanci, Muhammet Fatih Aslan
    Agriculture.2021; 11(12): 1212.     CrossRef
  • The Application of Machine Learning for Cultivar Discrimination of Sweet Cherry Endocarp
    Ewa Ropelewska
    Agriculture.2020; 11(1): 6.     CrossRef
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