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"Population structure"

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밀 유전자원의 농업형질과 SSR마커를 이용한 다양성 분석
Diversity Analysis Using Agricultural Traits and SSR Markers of Wheat Germplasms
Myoung-Jae Shin, Miae Oh, Kyung-Min Kim, Xiaohan Wang, Seong-Hoon Kim, Seahee Han, Kebede Taye Desta, Yu-Mi Choi, Hye-myeong Yoon, Yoonjung Lee, Jung Yoon Yi, Sukyeung Lee
Korean. J. Breed. Sci. 2022;54(4):345-357.
Published online December 1, 2022
DOI: https://doi.org/10.9787/KJBS.2022.54.4.345

Breeders typically use core collections of a specific trait or core collections selected by a few genotypes to efficiently select breeding materials or to study functional genes. As a result, many accessions have been deemed redundant or duplicated and are no longer considered for use. This study aimed to investigate the agronomical characteristics and genetic diversity of 1,514 previously unused and unstudied wheat germplasms and to confirm their value as breeding materials using population structure analysis. The performance of these wheat germplasms was compared with that of 8,878 wheat breeding materials and 72 known Korean wheat cultivars. The results of agronomic trait diversity comparison showed that the germplasm populations used for breeding research did not completely encompass the unused germplasm populations. The agronomic traits of wheat germplasms varied greatly. ANOVA and PCA results revealed the greatest differences in growth habits (CV=0.339), panicle length (CV=0.330), and awn length (CV=0.296). To accurately assess the value of unused wheat germplasms as breeding materials, 106 SSR markers were extracted from the analysis of four representative Korean cultivars: Geuru, Geumgang, Uri, and Jokyoung. Among these, 24 SSR markers were chosen, and 129 wheat resources were subjected to population structure analysis, which revealed five subpopulations. Most of the 34 germplasms that originated in Korea were distributed in subpopulation 1 (18 accessions, 52.9%) and subpopulation 4 (12 accessions, 35.3%). Subgroups 2, 3, and 5 differed significantly in agronomic traits and genotypes, indicating their potential as breeding materials. The findings of this study could serve as a foundation for breeders and aid in the discovery and utilization of new wheat breeding materials.

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  • Phenotypic characterization of underutilized common wheat germplasm for diversifying breeding materials in Korea
    Sun-Hwa Kwak, Ho-Sun Cheon, Sukyeung Lee, Young-ah Jeon, Sieun Choi, Chul Soo Park, Youngjun Mo
    Journal of Crop Science and Biotechnology.2024; 27(3): 397.     CrossRef
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한국형 밀 핵심집단의 유전적 다양성과 집단 구조 분석
Genetic Diversity and Population Structure of Korean Common Wheat (Triticum Aestivum)
Kyeong Do Min, Yu Na Kang, Chang Soo Kim, Chang Hyun Choi, Jae Yoon Kim
Korean. J. Breed. Sci. 2021;53(3):277-288.
Published online September 1, 2021
DOI: https://doi.org/10.9787/KJBS.2021.53.3.277

Wheat (Triticum aestivum) is one of the three major food crops, along with rice and corn, and is the second most consumed crop after rice in Korea. However, the domestic production of wheat is insufficient, and the self-sufficiency rate is recorded in single digits. As wheat has a large genome size of 17 Gbp, and contains many repeated nucleotide sequences, it is difficult to conduct breeding studies and genome-based breeding lags behind that of other crops. To overcome the above challenges, we constructed a wheat core collection using simple sequence repeat markers that are suitable for the domestic cultivation environment with excellent reproducibility. Genetic diversity and population structure were analyzed using a core collection. Agricultural traits were evaluated in the Korean wheat core collection. Single marker analysis was correlated with 21 agricultural traits to identify potential molecular markers. These results may be useful for wheat breeding programs in the precision breeding era.

Citations

Citations to this article as recorded by  
  • Integrated Genomic and Transcriptomic Analyses Reveal a Two-Tier Adaptive Strategy for Wheat Root Salt Tolerance: Constitutive Auxin Biosynthetic Capacity and Stress-Responsive Transcriptional Repression
    Kyung-Hee Kim, Ji Yu Jeong, Taekyeom Kim, Sang Yong Park, Byung-Moo Lee, Jae Yoon Kim
    Biology.2026; 15(12): 965.     CrossRef
  • Exploring morphological traits related to potential milling yield based on image-analysis
    Anh Tuan Le, Ji Eun Park, Thanh Tuan Thai, Sang Yong Park, Min Seo Kim, Yong Suk Chung, Jae Yoon Kim
    Scientific Reports.2026;[Epub]     CrossRef
  • Genetic Diversity Analysis of Korean Herbaceous Peony Germplasm Using InDel and SSR Markers
    Jin-Tae Jeong, Mi Sun Lee, Ei Hyun Kim, Su Yeon Jang, Jeong-Hoon Lee, Hur Mok, Sung Cheol Koo, Woo Tae Park, Hye Won Kim, Jae Wan Park, Woo Seok Ahn, Dongkyun Son, Yun Ji Lee, Moonkyo Kim, Chang Jae Oh, Ma Kyung Ho, Yi Lee
    Korean Journal of Medicinal Crop Science.2025; 33(6): 333.     CrossRef
  • Genome-wide association study to identify the genomic loci associated with wheat heading date variation under autumn-sowing conditions
    Yurim Kim, Myoung-Goo Choi, Myoung Hui Lee, Chuloh Cho, Jun Yong Choi, Suk-Jin Kim, Chon-Sik Kang, Chul Soo Park, Ki-Chang Jang, Youngjun Mo, Changhyun Choi, Harsh Raman
    PLOS One.2025; 20(4): e0322306.     CrossRef
  • Identification and validation of a major quantitative trait locus for precise control of heading date in wheat (Triticum aestivum L.)
    Jin-Kyung Cha, Hyeonjin Park, Seong-Gyu Jang, Changhyun Choi, Youngho Kwon, So-Myeong Lee, Yurim Kim, Byung Jun Jin, Jong-Hee Lee, Soon-Wook Kwon, Woo-Jae Kim
    BMC Plant Biology.2025;[Epub]     CrossRef
  • Integrative multi-locus GWAS and SNP effect analysis reveal the genetic basis of heading, maturity, and grain-filling duration in a bread wheat
    Bhagwat Nawade, Kyoung Do Min, Man Bo Lee, Do Yoon Hyun, Changhyun Choi, Jae Yoon Kim
    Plant Physiology and Biochemistry.2025; 229: 110729.     CrossRef
  • Genome-Wide Association Analysis of a Wheat Core Collection Based on Chlorophyll Content at Heading Stage in Response to NaCl Stress
    Kyoung Do Min, Do Yoon Hyun, Sang Yong Park, Jae Yoon Kim
    Korean Journal of Breeding Science.2025; 57(2): 175.     CrossRef
  • Phenotypic characterization of underutilized common wheat germplasm for diversifying breeding materials in Korea
    Sun-Hwa Kwak, Ho-Sun Cheon, Sukyeung Lee, Young-ah Jeon, Sieun Choi, Chul Soo Park, Youngjun Mo
    Journal of Crop Science and Biotechnology.2024; 27(3): 397.     CrossRef
  • Current Trends in Wheat Breeding Strategies for Developing Domestic Wheat Cultivars in Korea
    Hajeong Kang, Hyoun-Min Park, San-Gu Lee, Eun-Ha Kim, Muhammad Imran, Hanyoung Choi, Myeong-Ji Kim, Seonwoo Oh
    Korean Journal of Breeding Science.2024; 56(4): 491.     CrossRef
  • Acceleration of wheat breeding: enhancing efficiency and practical application of the speed breeding system
    Jin-Kyung Cha, Hyeonjin Park, Changhyun Choi, Youngho Kwon, So-Myeong Lee, Ki-Won Oh, Jong-Min Ko, Soon-Wook Kwon, Jong-Hee Lee
    Plant Methods.2023;[Epub]     CrossRef
  • Optimizing genomic selection of agricultural traits using K-wheat core collection
    Yuna Kang, Changhyun Choi, Jae Yoon Kim, Kyeong Do Min, Changsoo Kim
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Research Advances in Diversity of Wheat Genetic Resources
    Do Yoon Hyun, Jae Yoon Kim
    Korean Journal of Breeding Science.2023; 55(4): 350.     CrossRef
  • Genome-Wide Association Study of Arabinoxylan Content from a 562 Hexaploid Wheat Collection
    Myoung Hui Lee, Jinhee Park, Kyeong-Hoon Kim, Kyeong-Min Kim, Chon-Sik Kang, Go Eun Lee, Jun Yong Choi, Jiyoung Shon, Jong-Min Ko, Changhyun Choi
    Plants.2023; 12(1): 184.     CrossRef
  • Assessment of Cold Tolerance Traits of Wheat Cultivars using RGB Images
    Myoung Hui Lee, Jae-kyeong Baek, Kyeong-Min Kim, Kyeong-Hoon Kim, Chon-Sik Kang, Go Eun Lee, Jun Yong Choi, Jiyoung Son, Jong-Min Ko, Changhyun Choi
    Korean Journal of Breeding Science.2022; 54(3): 171.     CrossRef
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We collected 32 maize inbred lines from eastern cereal and oilseed research center in Canada to develop new maize varieties. We also evaluated genetic diversity, genetic relationships, and population structure using 35 SSR markers. A total of 269 alleles were revealed in 35 loci with an average of 7.69 and a range between 3 and 15 alleles per locus. The genetic diversity values varied from 0.176 to 0.889 with an average of 0.691. The polymorphic information content varied from 0.171 to 0.879 with an average of 0.659. Population structure analysis indicated that 32 Canadian maize inbred lines comprised four major groups and one admixed group based on a membership probability threshold of 0.80. The four major groups contained 13, 2, 5 and 2 maize inbred lines, respectively. From genetic relationships analysis, the all inbred lines were divided into three main groups at 26% genetic similarity. Group I included 22 inbred lines, and Group II included 9 inbred lines. Group III consist of only one inbred line. The results in this study would be useful for the improvement and development of new cultivars, planning crosses for hybrids or development of inbred line in maize breeding program

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