Skip to main navigation Skip to main content
  • KSBS
  • E-Submission

Plant Breed. Biotech. : Plant Breeding and Biotechnology

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS

Page Path

30
results for

"Genetic diversity"

Article category

Keywords

Publication year

Authors

"Genetic diversity"

Research Articles

Genetic Diversity Analysis and DNA Fingerprinting of Bread Wheat (Triticum Aestivum L.) Cultivars in Uzbekistan Using SSR Markers
Jurabek K. Norbekov, Naim N. Khusenov, Ilkhom B. Salokhutdinov, Ilyos S. Normamatov, Umid A. Boykobilov, Ravshan I. Muxammadaliyev, Maftuna M. Kholmuradova, Abdusalom Kh. Makamov, Ozod S. Turaev, Dilrabo K. Ernazarova, Fakhriddin N. Kushanov, Zabardast T. Buriev
Plant Breed. Biotech. 2024;12:193-209.   Published online December 24, 2024
DOI: https://doi.org/10.9787/PBB.2024.12.193

Bread wheat (Triticum aestivum L.) is a fundamental crop worldwide, playing a crucial role in ensuring food security for human beings. Understanding the genetic diversity of wheat cultivars and developing genetic passports through DNA fingerprinting is essential for preventing varietal duplication enhancing breeding diversity and protecting breeders' rights globally. This study investigated the genetic diversity, phylogenetic relationships, and allelic frequencies of 32 Uzbekistan bread wheat cultivars using 66 polymorphic simple sequence repeat (SSR) markers. Unique marker alleles were identified and used to develop genetic passports for the cultivars. The results showed that the primers Barc181, Wmc522, Wmc407, Wms18, Cfa2201, Wms294, Cfd76, Wmc73, Wmc486, Cfa220, Wmc314, And Wms495 are reliable SSR markers for assessing genetic polymorphism in Uzbek wheat cultivars.

Citations

Citations to this article as recorded by  
  • Genetic analysis of fusarium wilt resistance in Upland cotton germplasm ( Gossypium hirsutum L.)
    Naim N. Khusenov, Jurabek K. Norbekov, Umid A. Boykobilov, Zebo S. Yuldosheva, Ilyos S. Normamatov, Abdusalom Kh. Makamov, Mirzakamol S. Ayubov, Mukhtor M. Darmanov, Akmal M. Asrorov, Zabardast T. Buriev, Maftuna U. Makhmudova, Ozod S. Turaev, John Z. Yu,
    Journal of Plant Interactions.2025;[Epub]     CrossRef
  • 29 View
  • 0 Download
  • 1 Crossref
Association Study for Drought Tolerance of Flint Maize Inbred Lines Using SSR Markers
Kyu Jin Sa, Hyeon Park, Zhenyu Fu, So Jung Jang, Ju-Kyong Lee
Plant Breed. Biotech. 2022;10(4):257-271.   Published online December 1, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.4.257

Drought tolerance is derived from complex quantitative traits that are associated with different shoot and root morphological characters. This study assessed the genetic and phenotypic variation of 12 maize inbred lines and performed association analysis of 11 drought-related traits using 360 simple sequence repeats (SSRs), detecting 1,604 alleles, with an average of 4.4 alleles per locus. The average values of gene diversity (GD) and polymorphism information content (PIC) were 0.648 and 0.598, respectively. In principal component analysis (PCA), shoot fresh weight (SFW), shoot dry weight (SDW), stem weight (SW), leaf weight (LW), root fresh weight (RFW), root dry weight (RDW), and leaf area (LA) traits contributed greatly to the PCA. Association analysis was performed using a general linear model with a Q-matrix (Q GLM) and a mixed linear model with Q and K-matrices (Q + K MLM). Twelve SSR markers for drought tolerance trait were detected by Q GLM, and all maize inbred lines were clearly divided into two groups in accordance with their drought tolerance. Duplicated significant marker-trait associations (SMTAs) between Q GLM and Q + K MLM identified eight marker-trait associations involving four SSR markers that were associated with the traits of SW, SFW, RFW, and RDW with a significant level of P < 0.05. The umc1175 and umc2092 were associated with SW and SFW; umc1503 was associated with RFW, SFW, and SW; and umc2341 was associated with RDW. The detection of loci associated with drought-related traits in this study may provide better opportunities to improve maize drought tolerance by marker-assisted selection (MAS).

Citations

Citations to this article as recorded by  
  • Using Flint Maize for Developing New Hybrids: A Case Study in Romania
    Roxana Elena Călugăr, Andrei Varga, Carmen Daniela Vana, Loredana Ancuța Ceclan, Felicia Chețan, Andras Fodor, Nicolae Tritean
    Agronomy.2025; 15(9): 2215.     CrossRef
  • Leveraging Multiomics Insights and Exploiting Wild Relatives’ Potential for Drought and Heat Tolerance in Maize
    Shakra Jamil, Shakeel Ahmad, Rahil Shahzad, Noroza Umer, Shamsa Kanwal, Hafiz Mamoon Rehman, Iqrar Ahmad Rana, Rana Muhammad Atif
    Journal of Agricultural and Food Chemistry.2024; 72(29): 16048.     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
  • 9 View
  • 1 Download
  • 4 Crossref

Review Article

Genetic Analysis of Coffee (Coffea arabica L.) Genotypes in Zimbabwe Using Morphological Traits
Pardon Chidoko, Caleb Mahoya, Samson Tarusenga, Dumisani Kutywayo
Plant Breed. Biotech. 2022;10(4):212-223.   Published online December 1, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.4.212

The coffee value chain is a source of livelihood for millions of people across the world and yet the resilience of coffee is limited by the relatively narrow genetic base among commercial coffee cultivars. A study was conducted to determine genetic variation, heritability estimates and relationships among coffee genotypes in Zimbabwe. Quantitative morphological characteristics of twelve genotypes were recorded under field conditions. There were significant variations in coffee yield, plant height, stem girth, number of primary branches, number of bearing branches, internode length and leaf characteristics, with no significant variations in seed characteristics and number of nodes. Broad sense heritability estimates for the quantitative traits ranged from 0.03% to 91.4%, being highest for plant height, coffee yield, stem girth, leaf length and leaf area. The implications are that coffee yield and plant height are independent of significant environmental influences while seed, branching traits and leaf traits are influenced by the environment in their expression. Yield was significantly correlated to branches per plant, plant height, seed traits and stem girth. Clustering of genotypes was influenced by plant height, yield and stem girth. Overall, few traits were important in distinguishing coffee genotypes, implying narrow diversity. Hybridization, further introductions from other producer countries, coffee gene banks and/or introductions from the wild, and concerted germplasm conservation efforts are recommended.

Citations

Citations to this article as recorded by  
  • Structural Equation Modeling and Genome-Wide Selection for Multiple Traits to Enhance Arabica Coffee Breeding Programs
    Matheus Massariol Suela, Camila Ferreira Azevedo, Ana Carolina Campana Nascimento, Eveline Teixeira Caixeta Moura, Antônio Carlos Baião de Oliveira, Gota Morota, Moysés Nascimento
    Agronomy.2025; 15(7): 1686.     CrossRef
  • Towards a minimum number of key flower traits in studies of Coffea spp. phenotype variability
    Larícia Olária Emerick Silva, Maria Juliete Lucindo Rodrigues, Rafael Nunes de Almeida, José Nobre Semedo, Miroslava Rakocevic, Fábio Luiz Partelli
    Scientia Horticulturae.2024; 337: 113513.     CrossRef
  • 19 View
  • 2 Download
  • 2 Crossref

Research Articles

High-Throughput Digital Genotyping Tools for Panax ginseng Based on Diversity among 44 Complete Plastid Genomes
Woojong Jang, Yeeun Jang, Woohyeon Cho, Sae Hyun Lee, Hyeonah Shim, Jee Young Park, Jiang Xu, Xiaofeng Shen, Baosheng Liao, Ick-Hyun Jo, Young Chang Kim, Tae-Jin Yang
Plant Breed. Biotech. 2022;10(3):174-185.   Published online August 31, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.3.174

Cultivation of the medicinal herb Panax ginseng Meyer began by domesticating wild mountain ginsengs several hundred years ago in Korea. Elucidating the diversity of the maternally inherited plastid genome (plastome) in diverse ginseng collections including wild ginsengs would provide valuable information on ginseng breeding and cultivation history. We sequenced and compared the plastomes of 44 ginseng accessions collected from various Northeast Asian countries. The plastomes revealed 18 polymorphic sites, including 11 SNPs and 7 InDels, which portrayed less diversity than in the most closely related species, P. quinquefolius. We developed 10 kompetitive allele-specific PCR (KASP) markers and utilized them along with four previously developed InDel markers to characterize the genotypes of 203 ginseng accessions. Digital genotyping based on the developed KASP markers classified the accessions into 10 main and 2 branching haplotypes. Four InDel markers derived from different copy numbers of tandem repeats showed dynamic subgrouping within the haplotypes due to the occurrence of multi-alleles and reversible mutations. The digital haplotype genotyping (haplotyping) revealed that haplotype A, representing 60.1% of the accessions, might be the original plastome form without any SNP occurrence. Accumulation patterns of the variations suggest that nine main haplotypes (B-J) diverged independently by new SNP occurrences from the original plastome, and branching haplotypes may have derived from the first mutant lineage by additional SNP deposition. The digital haplotyping system based on plastome diversity deepens understanding of ginseng evolution and serves as a useful molecular breeding tool.

Citations

Citations to this article as recorded by  
  • PCR-Based Molecular Authentication Method for Sources of Agrimoniae Herba via Comparative Analyses of Complete Chloroplast Genomes
    Woojong Jang, Sae Hyun Lee, Wook Jin Kim, Sungyu Yang, Byeong Cheol Moon
    International Journal of Molecular Sciences.2025; 26(22): 11189.     CrossRef
  • Development and authentication of Panax ginseng cv. Sunhong with high yield and multiple tolerance to heat damage, rusty roots and lodging
    Jiho Seo, Joon-Soo Lee, Sung-Lye Shim, Jun-Gyo In, Chol-Soo Park, Yong-Jae Lee, Hee-Jun Ahn
    Horticulture, Environment, and Biotechnology.2023; 64(5): 753.     CrossRef
  • The current research progress of ginseng species: The cultivation and application
    Kaimei Zhang, Shengai Zhang, Atsushi Ebihara, Xiaoqi Zhou, Likun Fan, Pengfei Li, Zhuqi Zhang, Yuyan Wang, Yu Shen
    Cogent Food & Agriculture.2023;[Epub]     CrossRef
  • In Vitro Cultivation and Ginsenosides Accumulation in Panax ginseng: A Review
    Fengjiao Xu, Anjali Kariyarath Valappil, Ramya Mathiyalagan, Thi Ngoc Anh Tran, Zelika Mega Ramadhania, Muhammad Awais, Deok Chun Yang
    Plants.2023; 12(17): 3165.     CrossRef
  • 22 View
  • 0 Download
  • 4 Crossref
Assessment of Genetic Diversity in Durum and Bread Wheat Genotypes Based on Drought Tolerance and SSR Markers
Mahmoud A. El-Rawy, Mohamed I. Hassan
Plant Breed. Biotech. 2021;9(2):89-103.   Published online June 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.2.89

Six durum and twelve bread wheat genotypes were evaluated under favorable and drought-stressed field conditions, and screened with thirty simple sequence repeats (SSR) markers. The traits studied were stomata frequency (STF), relative water content (RWC), flag leaf area (FLA), flag leaf weight (FLW), flag leaf dry matter content (FLD), chlorophyll a content (Chl.a), chlorophyll b content (Chl.b), grain yield/plant (GYP) and 1000-kerenl weight (TKW). Highly significant differences were observed among wheat genotypes for all the traits, indicating considerable genetic variation. Moderate to high broad-sense heritability estimates were observed for the studied traits. Under drought stress, GYP was positively correlated with RWC, FLA, FLW and TKW, whereas negatively correlated with STF. G3 (Svevo) and G6 (WK-12-1) were the most drought-tolerant durum wheat, whereas G11 (L.S-15) and G16 (SIDS-1) were the most drought-tolerant bread wheat genotypes. SSR markers analysis indicated considerable genetic variation between and within durum and bread wheat genotypes. The percentage of polymorphism ranged from 14.3% (Xgwm174-5D) to 100% (Xgwm294-2A and Xgwm573-7B), with an average of 61.4%. The polymorphism information content (PIC) ranged from 0.20 (Xwmc596-7A) to 0.48 (Xgwm294-2A), with an average of 0.33.The highest polymorphism (77.1%) was observed in the B genome followed by A (57.8%) and D (50.0%) genomes. Cluster analysis based on phenotypic data distinguished the most drought-tolerant genotypes (G6 and G11) from the remaining genotypes. Cluster analysis based on SSR markers distinguished durum from bread wheat genotypes. The study indicated that phenotypic data and SSR markers were effective in assessing the genetic diversity in the studied genotypes.

Citations

Citations to this article as recorded by  
  • Revealing Genetic Diversity and Drought Tolerance in Durum Wheat through Agro-Physiological and Molecular Approaches
    Ferhat Kızılgeçi, Aras Türkoğlu, Kamil Haliloğlu, Seval Eliş, Büşra Polat, Gaye Akçelik, Mehmet Yıldırım, Fatih Demirel, Jan Bocianowski
    Turkish Journal Of Field Crops.2026;[Epub]     CrossRef
  • Gene markers generating polygenic resistance in wheat - Bipolaris sorokiniana interaction pathosystem
    Fatemeh Qalavand, Mehdi Nasr Esfahani, Davood Amin Azarm, Maryam Monazzah, Marzie Motamedi, Niloufar Abbasi, Arman Nasr Esfahani, Mojtaba Mohammadi
    South African Journal of Botany.2025; 185: 182.     CrossRef
  • Molecular marker based analysis of allelic variation in the spring wheat genome
    Hafiz Ghulam Muhu Din Ahmed, Tao Yang, Muhammad Irfan Akram, Rashid Iqbal, Abdullah Ahmed Al-Ghamdi, Dunia A. Al Farraj
    Genetic Resources and Crop Evolution.2025; 72(5): 5393.     CrossRef
  • Genetic diversity of some bread wheat genotypes under water stress using morphological traits and SSR markers
    S.E Abd.Salam, E.E. Hassn, A.A. Hassan, Mohamed Abdelghany
    South African Journal of Botany.2025; 178: 360.     CrossRef
  • Genetic diversity analysis of Azerbaijani bread wheat (Triticum aestivum L.) genotypes with simple sequence repeat markers linked to drought tolerance
    Ruhangiz Mammadova, Zeynal Akparov, Ahmad Amri, Allah Bakhsh, Fida Alo, Shader Alizade, Nurlan Amrahov, Firuza Yunisova
    Genetic Resources and Crop Evolution.2025; 72(1): 315.     CrossRef
  • Association mapping for Striga resistance and agronomic‐related traits in sorghum
    Wilbert T. Mutezo, Moosa M. Sedibe, Justice Norvienyeku, Bingting Lai
    The Plant Genome.2025;[Epub]     CrossRef
  • Biochemical characteristics of bread wheat genotypes related to SSR markers in moisture stress conditions
    Fatemeh Bavandpouri, Ezatollah Farshadfar, Kianoosh Cheghamirza, Mohsen Farshadfar
    Genetic Resources.2025; 6(12): 171.     CrossRef
  • Agronomic and Molecular Identification of Drought-Tolerant Bread Wheat Varieties in Iran
    Arezoo Karkhaneh, Hooman Salari, Kianoosh Cheghamirza, Leila Zarei
    Journal of Plant Growth Regulation.2025; 44(6): 3039.     CrossRef
  • Multivariate Analysis Techniques and Tolerance Indices for Detecting Bread Wheat Genotypes of Drought Tolerance
    Ibrahim Al-Ashkar
    Diversity.2024; 16(8): 489.     CrossRef
  • Combining Genetic and Phenotypic Analyses for Detecting Bread Wheat Genotypes of Drought Tolerance through Multivariate Analysis Techniques
    Mohammed Sallam, Abdelhalim Ghazy, Abdullah Al-Doss, Ibrahim Al-Ashkar
    Life.2024; 14(2): 183.     CrossRef
  • Assessing Heat Stress Tolerance of Wheat Genotypes through Integrated Molecular and Physio-Biochemical Analyses
    Mohammed Sallam, Ibrahim Al-Ashkar, Abdullah Al-Doss, Khalid A. Al-Gaadi, Ahmed M. Zeyada, Abdelhalim Ghazy
    Agronomy.2024; 14(9): 1999.     CrossRef
  • Assessment of genetic variation among wheat genotypes for drought tolerance utilizing microsatellite markers and morpho-physiological characteristics
    Sheikh Faruk Ahmed, Jalal Uddin Ahmed, Mehfuz Hasan, Mohammed Mohi-Ud-Din
    Heliyon.2023; 9(11): e21629.     CrossRef
  • Molecular cytological analysis of alien introgressions in common wheat lines created by crossing of Triticum aestivum with T. dicoccoides and T. dicoccum
    О. A. Orlovskaya, I. N. Leonova, L. A. Solovey, N. I. Dubovets
    Vavilov Journal of Genetics and Breeding.2023; 27(6): 553.     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
  • Assessment of Genetic Diversity of Bread Wheat Genotypes for Drought Tolerance Using Canopy Reflectance-Based Phenotyping and SSR Marker-Based Genotyping
    Mohammed Mohi-Ud-Din, Md. Alamgir Hossain, Md. Motiar Rohman, Md. Nesar Uddin, Md. Sabibul Haque, Eldessoky S. Dessoky, Mohammed Alqurashi, Salman Aloufi
    Sustainability.2022; 14(16): 9818.     CrossRef
  • Enzyme activity and population genetic structure analysis in wheat associated with resistance to Bipolaris sorokiniana-common root rot diseases
    Fatemeh Qalavand, Mehdi Nasr Esfahani, Jafar Vatandoost, Davood Amin Azarm
    Phytochemistry.2022; 200: 113208.     CrossRef
  • 14 View
  • 0 Download
  • 16 Crossref
Genetic Diversity and Physiological Response to Drought Stress of Chamaecyparis obtuse from Six Geographical Locations
Tae-Lim Kim, Kyungmi Lee, Wonwoo Cho, Danbe Park, Il Hwan Lee, Hyemin Lim
Plant Breed. Biotech. 2021;9(2):112-123.   Published online June 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.2.112

Water deficit is a critical factor obstructing the growth and survival of plant. Therefore, researchers have been trying to develop drought-resistant varieties. To find indicators of drought stress-tolerance of cypress (Chamaecyparis obtusa), we analyzed the response of cypress seedlings from six provenances of Korea (Jeju, Suwon, Seoul, Seongnam, Yong-in, and Osan) to drought stress. Additionally, the genetic diversity of C. obtusa from the six provenances were determined using microsatellite markers. We confirmed that populations from Suwon and Seongnam were relatively separated from other populations through genetic distance and cluster analysis. We examined their physiologic and metabolic responses after drought treatment for five weeks. Almost all of the cypress seedlings showed a reduced shoot growth rate under drought treatment compared to controls. In addition, temperature of drought treated cypress seedling leaves was 1.2-2℃ higher than that of the controls. Almost all of the drought stress-treated cypress showed increased carbon metabolite contents and pigments. In particular, the cypress seedlings from Osan showed the highest increase in all of the measured metabolites. Therefore, it is suggested that the seedlings from Osan are susceptible to drought stress. Conversely, the seedlings from Jeju, Suwon, and Yong-in showed a lower sensitivity to drought treatment. These results indicate that the cypress trees from the six provenances have a different response to drought stress. In addition, it is confirmed that previously identified indicators of drought stress, especially those that measure total soluble sugar, carotenoid, and H2O2, can be used in the selection of drought resistance cypress. These findings may useful in studies concerned with the metabolic and physiological responses of young cypress to drought.

Citations

Citations to this article as recorded by  
  • Comparative phenotypic, physiological, and transcriptomic responses to drought and recovery in two Fraxinus species
    Tae-Lim Kim, Hyemin Lim, Kyungmi Lee, Michael Immanuel Jesse Denison, Sathishkumar Natarajan, Changyoung Oh
    BMC Plant Biology.2025;[Epub]     CrossRef
  • Cashew nut shell oil as a potential feedstock for biodiesel production: An overview
    Srinivasan Kandaswamy, Venkatesa Murthy Swarupa, Souvik Sur, Gautam Choubey, Yuvarajan Devarajan, Ruby Mishra
    Biotechnology and Bioengineering.2023; 120(11): 3137.     CrossRef
  • Comparison of Physiological and Biochemical Responses of Two Poplar Species under Drought Stress
    Tae-Lim Kim, Kyungmi Lee, Hwan-Su Hwang, Changyoung Oh, Il Hwan Lee, Hyemin Lim
    Plant Breeding and Biotechnology.2022; 10(3): 145.     CrossRef
  • A Cold-Shock Protein from the South Pole-Dwelling Soil Bacterium Arthrobacter sp. Confers Cold Tolerance to Rice
    So Young Kim, Joung Sug Kim, Woosuk Cho, Kyong Mi Jun, Xiaoxuan Du, Kyung Do Kim, Yeon-Ki Kim, Gang-Seob Lee
    Genes.2021; 12(10): 1589.     CrossRef
  • 16 View
  • 0 Download
  • 4 Crossref

Review Article

Visiting Bitter Gourd (Momordica charantia) from a Breeding Perspective: A Review
Hari Kesh, Prashant Kaushik
Plant Breed. Biotech. 2020;8(3):211-225.   Published online September 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.3.211

Bitter gourd is an important vegetable of the family Cucurbitaceae, cultivated mainly in humid and subtropical Asia. Bitter gourd is a vegetable with immense health benefits due to the presence of medicinal compounds such as charantin, vicine, and polypeptide-p, which play essential roles in lessening blood glucose levels. Moreover, bitter gourd fruits are particularly rich in vitamin C, minerals, and carotenes. Here, an effort has been made to critically evaluate the extent of achievements during the enhancement and enactment of bitter gourd breeding programs with the use of latest technologies. Broadening the genetic base of cultivated bitter gourd varieties as a result of enrichment of existing resources by using wild species in breeding programs. Practical seed production technological know-how along with the use of the MS system (male sterility)/chemical-induced sterility procedure is nonetheless vital to cope with market demands. Superior yielding bitter gourd hybrids combining early maturity and resistance to biotic and abiotic stresses are regularly needed to cope with the challenge of bitter gourd production.

Citations

Citations to this article as recorded by  
  • Utilization of crop wild relatives in genetic improvement of bitter gourd, Momordica charantia L.
    S. Devi, R. Neelavathi, C. Indu Rani, R. Kalaiyarasi, K. Gurusamy
    Genetic Resources and Crop Evolution.2026;[Epub]     CrossRef
  • Status of soluble sugars and the related enzymes of Momordica charantia L. seedlings in response to low temperature stress
    V. Devi, M. Kaur Sangha, M. Pathak, P. Kumar, M. Pal
    European Journal of Horticultural Science.2023; 88(6): 1.     CrossRef
  • Advances in melon (Cucumis melo L.) breeding: An update
    Hari Kesh, Prashant Kaushik
    Scientia Horticulturae.2021; 282: 110045.     CrossRef
  • 21 View
  • 1 Download
  • 3 Crossref

Research Articles

Genetic Variation Analysis of Chinese Jujube Cultivars Using ISSR Molecular Markers
Jae-Ik Nam, Sea-Hyun Kim, Chul-Woo Kim
Plant Breed. Biotech. 2019;7(3):200-207.   Published online September 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.3.200

Chinese jujube (Ziziphus jujuba Mill.) is an economically important species with over 4,000 years of cultivation history. Cultivar classification and phylogenetic relationship of jujube have been controversial due to the lack of data related to species origin and cultivation. In this study, inter simple sequence repeat (ISSR) markers were used to analyze the genetic characteristics and relationships of Korean and Chinese jujube cultivars. The amplification of genomic DNA of the 32 accessions using 11 primers yielded 149 amplified bands, of which 141 were polymorphic. The amplification of 22 jujube cultivars generated 76 bands, 40 of which were polymorphic, suggesting that many polymorphic bands appeared in the outgroup. The mean genetic similarity index (GSI) of the cultivars was 0.835; Bokjo, Geumseong, Wolchul, and Mudeung cultivars showed the highest GSI of 1, and Sandonglizao and Xiaolizao had the lowest GSI of 0.658. The cluster analysis resolved Indian jujube (Z. mauritiana Lam.) and Paliurus ramosissimus Poir. in a basal Group I, sour jujube 2 (Z. acidojujuba C.Y. Cheng & M.J. Liu) and Damaya formed Group II, Dabailing and Daguazao were clustered in Group III, and the remaining accessions formed Group IV. The Korean cultivars and Korean native varieties showed genetic uniformity and were close to some Chinese cultivars. Accordingly, exploration of domestic and foreign genetic resources should be supplemented with survey of characteristics of collected material for genetic resources management and breeding of elite lines.

Citations

Citations to this article as recorded by  
  • Genetic diversity analysis of pomelo germplasm resources based on leaf phenotype and SCoT markers
    Xiaoqi Duan, Faisal Hayat, Ziqi Lei, Haocheng Ruan, Wenzhao Lin, Panfeng Tu, Caiqin Li, Wenpei Song, Yongquan Li, Juan Li, Lubin Zhang, Guohua Li, Ruifeng Ma, Wentao Gou, Gensheng Xiao, Qin Wang, Qiansong Wang
    Scientia Horticulturae.2025; 346: 114174.     CrossRef
  • 12 View
  • 0 Download
  • 1 Crossref
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
  • 17 View
  • 0 Download
  • 14 Crossref
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
  • 13 View
  • 0 Download
  • 2 Crossref

Rapid Communication

Development of Polymorphic SSR Markers from Pinus densiflora (Pinaceae) Natural Population in Korea
Hee Chung, Jaebok Lee, Jinsu Gil, Yurry Um, Ji Hyun Kim, Min Yeong Hwang, Ho Bang Kim, Chang Pyo Hong, Shin Gi Park, Donghwan Shim, Yi Lee
Plant Breed. Biotech. 2019;7(1):67-71.   Published online March 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.1.67

Simple sequence repeat (SSR) markers were developed from Pinus densiflora, a species native to Asia, to investigate its genetic diversity and population structure in order to provide information for the management and breeding of this species. Using next-generation sequencing, a total of 1,008 putatively polymorphic SSR primer sets were designed. Seventeen polymorphic SSR markers in 121 individuals belonging to four natural populations of P. densiflora were identified and characterized, with three to seventeen alleles per locus. The expected heterozygosity ranged from 0.1844 to 0.8731 in four populations, and the average of the PIC values ranged from 0.2789 to 0.8488. Cross amplification of these markers was performed among the related species P. rigida, P. koraiensis, P. parviflora, and P. bungeana. The developed novel SSR markers are promising tools for studying the genetic diversity or population structure of P. densiflora and its related species.

Citations

Citations to this article as recorded by  
  • Analysis of the genetic diversity and population structure of Lindera obtusiloba (Lauraceae), a dioecious tree in Korea
    Ho Bang Kim, Hye-Young Lee, Mi Sun Lee, Yi Lee, Youngtae Choi, Sung-Yeol Kim, Jaeyong Choi
    Journal of Plant Biotechnology.2023;[Epub]     CrossRef
  • Genome-wide microsatellite characterization and marker development in Diospyros oleifera
    Yang Xu, Cuiyu Liu, Xu Yang, Kaiyun Wu, Bangchu Gong
    Industrial Crops and Products.2023; 203: 117182.     CrossRef
  • Genetic Diversity and Structure of Pinus densiflora Siebold & Zucc. Populations in Republic of Korea Based on Microsatellite Markers
    Ji-Young Ahn, Jei-Wan Lee, Kyung-Nak Hong
    Forests.2021; 12(6): 750.     CrossRef
  • 7 View
  • 0 Download
  • 3 Crossref

Research Articles

Genetic Diversity and Association Analyses of Canadian Maize Inbred Lines with Agronomic Traits and Simple Sequence Repeat Markers
Kyu Jin Sa, Tak Ki Hong, Ju Kyong Lee
Plant Breed. Biotech. 2018;6(2):159-169.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.159

We evaluated genetic diversity and population structure in 32 Canadian maize inbred lines and performed association analysis for five agronomical traits and 50 simple sequence repeat (SSR) markers. Genetic diversity analysis revealed a total of 381 alleles at the 50 SSR loci. The average number of alleles per locus was 7.6. The average genetic diversity and polymorphic information content values were 0.709 and 0.676, respectively. The average major allele frequency was 0.414. Population structure analysis indicated that these maize inbred lines were comprised of four major groups and one admixed group based on a membership probability threshold of 0.80. A general linear model showed 20 marker-trait associations involving 12 SSR markers associated with the four agronomic traits except for leaf length. For these marker-trait associations, phi056, mmc0022, bnlg1621, bnlg1695, phi116, and bnlg1028 were associated with only one trait. The other nc005, bnlg1012, phi065, and umc1982 were associated with two traits. Two SSR markers, mmc0111 and umc1038, were associated with three traits. These results will help in optimizing the choice of parents for crossing combinations, as well as in selecting markers for marker-assisted selection for maize improvement.

Citations

Citations to this article as recorded by  
  • Harnessing teosinte for quality traits enhancement and genetic diversity in maize
    Pardeep Kumar, Mukesh Choudhary, Seema Sheoran, Bhupender Kumar, Sushil Kumar, Ankush Sharma, Bharat Bhushan, Bahadur Singh Jat, Dharam Paul, Sumit Kumar Aggarwal, Shyam Bir Singh
    Cereal Research Communications.2026; 54(1): 645.     CrossRef
  • Genetic diversity of Turkish colored maize landraces assessed by simple sequence repeat (SSR) markers
    Ezgi Alaca Yıldırım, Fatih Kahrıman, Ferhat Matur
    Genetic Resources and Crop Evolution.2025; 72(8): 9623.     CrossRef
  • DNA Profiling of Indonesian Maize Hybrids and their Parental Lines Using SSR Markers
    Slamet Bambang Priyanto, Lesty Ayu Bidhari, Roy Efendi, Bunyamin Zainuddin, Nining Nurini Andayani, Muhammad Azrai
    Agriculture (Pol'nohospodárstvo).2025; 71(2): 53.     CrossRef
  • Genetic Diversity and Population Structure of Maize (Zea mays L.) Inbred Lines in Association with Phenotypic and Grain Qualitative Traits Using SSR Genotyping
    Rumit Patel, Juned Memon, Sushil Kumar, Dipak A. Patel, Amar A. Sakure, Manish B. Patel, Arna Das, Chikkappa G. Karjagi, Swati Patel, Ujjaval Patel, Rajib Roychowdhury
    Plants.2024; 13(6): 823.     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
  • Application Marker-Assisted Selection (MAS) and Multiplex PCR Reactions in Resistance Breeding of Maize (Zea mays L.)
    Aleksandra Sobiech, Agnieszka Tomkowiak, Jan Bocianowski, Bartosz Nowak, Dorota Weigt, Danuta Kurasiak-Popowska, Michał Kwiatek, Sylwia Mikołajczyk, Janetta Niemann, Katarzyna Szewczyk
    Agriculture.2022; 12(9): 1412.     CrossRef
  • Fuzzy model for clustering open pollinated maize variety released in Indonesia
    Muhammad Aqil, N.N. Andayani, T Fahdiana, Suwardi
    IOP Conference Series: Earth and Environmental Science.2020; 484: 012046.     CrossRef
  • Characterization of Mimban maize landrace from North-Eastern Himalayan region using microsatellite markers
    Nenavath Krishna Kumar Rathod, Jyoti Kumari, Firoz Hossain, Rashmi Chhabra, Somnath Roy, Ganjalagatta Dasaiah Harish, Rakesh Bhardwaj, Raveendra N. Gadag, Anup Kumar Misra
    Journal of Plant Biochemistry and Biotechnology.2020; 29(2): 323.     CrossRef
  • 9 View
  • 0 Download
  • 8 Crossref
Comparative SNP Analysis of Chloroplast Genomes and 45S nrDNAs Reveals Genetic Diversity of Perilla Species
Kyeong-Seong Cheon, In-Seon Jeong, Kyung-Hee Kim, Myoung-Hee Lee, Tae-Ho Lee, Jeong-Hee Lee, Ung-Han Yoon, Romika Chandra, Ye-Ji Lee, Tae-Ho Kim
Plant Breed. Biotech. 2018;6(2):125-139.   Published online June 1, 2018
DOI: https://doi.org/10.9787/PBB.2018.6.2.125

Perilla species belong to the Lamiaceae family of flowering plants and are widely grown in East Asia, for use in a traditional herbal medicine or functional food. To identify single nucleotide polymorphisms (SNPs) in Perilla species and conduct a phylogenomic analysis, we determined the complete sequences of the chloroplast (cp) genome and 45S nuclear ribosomal DNA (45S nrDNA) of six cultivated and three wild Perilla species. The complete cp genome ranged in size from 152,588 bp to 152,656 bp and the length variation in cp genomes was 68 bp. The length of the 45S nrDNA ranged from 6,235 bp to 8,303 bp and the main variation of length differences was in the intergenic spacer (IGS) region. Comparative analysis of the cp genome sequences of nine Perilla species showed low genetic diversity at the intra- and inter-species level. Using SNP analysis, we detected 42 synonymous SNPs (sySNPs) from 27 genes and 37 non-synonymous SNPs (nsSNPs) from 15 genes. A comparison of the 45S nrDNA sequences revealed two SNPs in the 18S rRNA, five SNPs in the 26S rRNA, three SNPs and two InDels in the internal transcribed spacer (ITS) 1 region, and six SNPs in the ITS 2 region. Our phylogenomic analysis suggests that the tetraploidization of Perilla cultivars may have arisen from the P. citriodora genome. The genotyping data from this study may be used to develop molecular markers associated with useful traits for use in Perilla breeding.

Citations

Citations to this article as recorded by  
  • Construction of a core collection of tomato (Solanum lycopersicum) germplasm based on phenotypic traits and SNP markers
    Xiang Chen, Yi-Yang Liu, Fu-Shun Zheng, Guo-Xin Cheng, Meng Guo, Jian-She Li, Xiao-Min Wang
    Scientia Horticulturae.2025; 339: 113855.     CrossRef
  • Comparative Analysis of Chloroplast Promoters for Optimized Production of Recombinant Proteins in Plants
    Juho Lee, Woo-Hyun Jeong, Seon-Kyeong Lee, Kyeong-Ryeol Lee, Sichul Lee, Beom-Gi Kim
    Korean Journal of Breeding Science.2025; 57(4): 359.     CrossRef
  • Plastome sequences fail to resolve shallow level relationships within the rapidly radiated genus Isodon (Lamiaceae)
    Ya-Ping Chen, Fei Zhao, Alan J. Paton, Purayidathkandy Sunojkumar, Lian-Ming Gao, Chun-Lei Xiang
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Foliose Ulva Species Show Considerable Inter‐Specific Genetic Diversity, Low Intra‐Specific Genetic Variation, and the Rare Occurrence of Inter‐Specific Hybrids in the Wild
    Antoine Fort, Marcus McHale, Kevin Cascella, Philippe Potin, Björn Usadel, Michael D. Guiry, Ronan Sulpice
    Journal of Phycology.2021; 57(1): 219.     CrossRef
  • Heterogeneous Genetic Diversity Estimation of a Promising Domestication Medicinal Motherwort Leonurus Cardiaca Based on Chloroplast Genome Resources
    Jiahui Sun, Yiheng Wang, Thomas Avery Garran, Ping Qiao, Mengli Wang, Qingjun Yuan, Lanping Guo, Luqi Huang
    Frontiers in Genetics.2021;[Epub]     CrossRef
  • 17 View
  • 0 Download
  • 5 Crossref
Study of Transferability of Rubus Microsatellite Markers to Hybrid Boysenberry
Jaihyunk Ryu, Woon Ji Kim, Juhyun Im, Sang Hun Kim, Seung Cheol Oh, Lan Cho, Si-Yong Kang, Bo-Keun Ha
Plant Breed. Biotech. 2017;5(4):253-260.   Published online December 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.4.253

Boysenberry, a Rubus hybrid between loganberry and a trailing blackberry, possesses distinctive polyphenol compounds, which have demonstrated positive biological effects on human health. Several new boysenberry genotypes have recently been developed from mutation breeding technology. In this study, a total of 103 SSR markers developed from expressed sequence tag (EST) and genomic libraries in blackberry and red raspberry were tested for cross-amplifications in 10 boysenberry genotypes. All primer pairs successfully produced amplification products, ranging from 1 to 4 loci per primer. Eleven polymorphic SSR markers (RH_MEa0007aB01, RH_MEa12cE03, RH_MEa14bF07, RH_MEa15aD04, RH_MEa13cF08, ERubLR_SQ01_N03, ERubLR_SQ053_H01, ERubLR_SQ191_A05, RubfruitG7, Rubusr43a, and RiM019) were detected among boysenberry genotypes, while polymorphic loci were not detected in 92 markers. Polymorphism information content (PIC) and genetic diversity (GD) values ranged from 0.160 to 0.580 and from 180 to 0.640, with average values of 0.359 and 0.407, respectively, in the 11 polymorphic markers. According to a cluster analysis, all the mutant boysenberry genotypes can be classified into one category. Although the level of genetic diversity revealed by SSR markers in 10 boysenberry genotypes was low, these SSR markers will be useful for future genetic diversity, cultivar identification, QTL mapping, and gene cloning studies in boysenberry.

Citations

Citations to this article as recorded by  
  • Characterization of genetic variation and antioxidant properties in strawberry (Fragaria × ananassa Duch.) mutant genotypes
    Jaihyunk Ryu, Woon Ji Kim, Sang Hun Kim, Kang-Seop Lee, Han-Jig Jo, Ee-Youb Kim, Sang Hoon Kim, Si-Yong Kang, Jeong-Hee Lee, Bo-Keun Ha
    Genetic Resources and Crop Evolution.2020; 67(6): 1457.     CrossRef
  • Single nucleotide polymorphism (SNP) discovery through genotyping-by-sequencing (GBS) and genetic characterization of Dendrobium mutants and cultivars
    Jaihyunk Ryu, Woon Ji Kim, Juhyun Im, Kyung-Won Kang, Sang Hoon Kim, Yeong Deuk Jo, Si-Yong Kang, Jeong-Hee Lee, Bo-Keun Ha
    Scientia Horticulturae.2019; 244: 225.     CrossRef
  • Genotyping-by-sequencing based single nucleotide polymorphisms enabled Kompetitive Allele Specific PCR marker development in mutant Rubus genotypes
    Jaihyunk Ryu, Woon Ji Kim, Juhyun Im, Sang Hun Kim, Kang-Seop Lee, Han-Jig Jo, Ee-Youb Kim, Si-Yong Kang, Jeong-Hee Lee, Bo-Keun Ha
    Electronic Journal of Biotechnology.2018; 35: 57.     CrossRef
  • 18 View
  • 0 Download
  • 3 Crossref
Genetic Diversity and Population Structure of Mongolian Wheat Based on SSR Markers: Implications for Conservation and Management
Narantsetseg Ya, Sebastin Raveendar, N Bayarsukh, Myagmarsuren Ya, Jung-Ro Lee, Kyung-Jun Lee, Myoung-Jae Shin, Gyu-Taek Cho, Kyung-Ho Ma, Gi-An Lee
Plant Breed. Biotech. 2017;5(3):213-220.   Published online September 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.3.213

Production of spring wheat, the major crop in Mongolia, accounts for 98% of the cultivated area. Understanding genetic variability in existing gene bank accessions is critical for collection, conservation and use of wheat germplasms. To determine genetic diversity and population structure among a representative collection of Mongolian local wheat cultivars and lines, 200 wheat accessions were analyzed with 15 SSR markers distributed throughout the wheat genome. A total of 85 alleles were detected, with three to five alleles per locus and a mean genetic richness of 5.66. Average genetic diversity index was 0.69, with values ranging from 0.37–0.80. The 200 Mongolian wheat accessions were mainly divided into two subgroups based on structure and phylogenetic analyses, and some phenotypes were divergent by the subgroups. Results from this study will provide valuable information for conservation and sustainable use of Mongolian wheat genetic resources.

Citations

Citations to this article as recorded by  
  • The Genetic Diversity of Tunisian Sea Barley (Hordeum marinum ssp. marinum): Insights from Cross-species SSRs
    Warda Saoudi, Wael Taamalli, Mounawer Badri, António Martin, Chedly Abdelly
    Plant Molecular Biology Reporter.2026;[Epub]     CrossRef
  • Harnessing genetic potentials for drought tolerance in wheat (Triticum aestivum L.) using tolerance indices and molecular markers
    Mst. Anamika Amzad, Md. Arifuzzaman, Md. Ashraful Alam
    Gene Reports.2025; 40: 102230.     CrossRef
  • Morphological characterization and molecular diversity assessment of rust resistant genetic stocks of wheat
    Sneha Adhikari, S. C. Bhardwaj, O. P. Gangwar, Pramod Prasad, Charu Lata, Subodh Kumar, Gulab Chand
    Tropical Plant Pathology.2024; 49(4): 525.     CrossRef
  • Structure and genetic diversity of macauba [Acrocomia aculeata (Jacq.) Lodd. ex Mart.] approached by SNP markers to assist breeding strategies
    Bruno Galvêas Laviola, Adriano dos Santos, Erina Vitório Rodrigues, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Tatiana Barbosa Rosado, Cíntia Gonçalves Guimarães, Léo Duc Haa Carson Schwartzhaupt da Conceição
    Genetic Resources and Crop Evolution.2022; 69(3): 1179.     CrossRef
  • Genetic diversity, population structure and relationship of Ethiopian barley (Hordeum vulgare L.) landraces as revealed by SSR markers
    Allo A. Dido, M. S. R. Krishna, Ermias Assefa, Dawit T. Degefu, B. J. K. Singh, Kassahun Tesfaye
    Journal of Genetics.2022;[Epub]     CrossRef
  • Genetic diversity and population structure in Jatropha (Jatropha curcas L.) based on molecular markers
    Adriana de Souza Carneiro, Adriano dos Santos, Bruno Galvêas Laviola, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro, Erina Vitório Rodrigues
    Genetic Resources and Crop Evolution.2022; 69(1): 245.     CrossRef
  • Association analysis for agronomic traits in wheat under terminal heat stress
    Adeel Khan, Munir Ahmad, Mukhtar Ahmed, Kulvinder Singh Gill, Zahid Akram
    Saudi Journal of Biological Sciences.2021; 28(12): 7404.     CrossRef
  • Genetic Diversity and Genome-Wide Association Study of Seed Aspect Ratio Using a High-Density SNP Array in Peanut (Arachis hypogaea L.)
    Kunyan Zou, Ki-Seung Kim, Kipoong Kim, Dongwoo Kang, Yu-Hyeon Park, Hokeun Sun, Bo-Keun Ha, Jungmin Ha, Tae-Hwan Jun
    Genes.2020; 12(1): 2.     CrossRef
  • Population structure of Nepali spring wheat (Triticum aestivum L.) germplasm
    Kamal Khadka, Davoud Torkamaneh, Mina Kaviani, Francois Belzile, Manish N. Raizada, Alireza Navabi
    BMC Plant Biology.2020;[Epub]     CrossRef
  • Development of genomic simple sequence repeat markers for Glycyrrhiza lepidota and cross-amplification of other Glycyrrhiza species
    Jun Hyoung Bang, Chi Eun Hong, Sebastin Raveendar, Kyong Hwan Bang, Kyung Ho Ma, Soon Wook Kwon, Hojin Ryu, Ick Hyun Jo, Jong-Wook Chung
    PeerJ.2019; 7: e7479.     CrossRef
  • Genome-Wide Genetic Diversity and Population Structure of Tunisian Durum Wheat Landraces Based on DArTseq Technology
    Cyrine Robbana, Zakaria Kehel, M’barek Ben Naceur, Carolina Sansaloni, Filippo Bassi, Ahmed Amri
    International Journal of Molecular Sciences.2019; 20(6): 1352.     CrossRef
  • Melatonin Mitigates Salt Stress in Wheat Seedlings by Modulating Polyamine Metabolism
    Qingbo Ke, Jun Ye, Bomei Wang, Jianhong Ren, Lina Yin, Xiping Deng, Shiwen Wang
    Frontiers in Plant Science.2018;[Epub]     CrossRef
  • 16 View
  • 0 Download
  • 12 Crossref
Cross Species Amplification of Cowpea Derived Unigene-SSR Markers and Diversity Analysis in Black Gram [Vigna mungo (L.) Hepper]
Jegadeesan Souframanien, Sudhir Kumar Gupta, Kandali Srinivasulu Reddy
Plant Breed. Biotech. 2017;5(2):88-96.   Published online June 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.2.88

Black gram [Vigna mungo (L.) Hepper] is an important legume crop in Asia, where it is a major source of dietary protein for its predominantly vegetarian population. Molecular breeding programme in this crop has made little progress due to lack of genomic resources. It largely depends on the sequence information available in the closely related taxa. Ninety-six cowpea derived unigene-SSR markers were tested for their cross species amplification in black gram. Forty-nine unigene-SSR primers showed cross species amplification and diversity among 42 black gram accessions were studied. Each unigene-SSR marker detected two to five alleles and 49 SSR primers collectively amplified 119 alleles in black gram with an average of 2.4 alleles/locus. The polymorphic information content (PIC) of the unigene-SSR markers ranged from 0.05 to 0.72 with an average of 0.41. Cluster analysis based on neighbor-joining method grouped the 42 accessions into three major clusters. The genetic closeness among the cultivars can be explained by the high degree of commonness in their pedigree. These unigene-SSR markers were also successful in detecting variation among 15 gamma ray induced mutants of black gram included in the present investigation. Functional categorization of these unigene-SSR markers corresponded to many genes with biological, cellular and molecular functions, and hence offers an opportunity to investigate the consequences of SSR polymorphism on gene functions and serves as valuable resource for black gram genetic analysis.

Citations

Citations to this article as recorded by  
  • Genetic Dissection of Genomic Regions Associated with Resistance to Urdbean Leaf Crinkle Disease and Yield Related Traits in Black Gram (Vigna mungo (L.) Hepper)
    Bala Barathi Modugula, Ratna Babu Didla
    Plant Molecular Biology Reporter.2025; 43(2): 723.     CrossRef
  • Morphological and molecular characterization of cowpea (Vigna unguiculata L. Walp.) genotypes
    C.G. Patel, P.T. Patel, D.T. Dharajiya, A.B. Patel, H.N. Zala, A.B. Khatri, K.K. Tiwari
    Genetika.2022; 54(2): 633.     CrossRef
  • 21 View
  • 0 Download
  • 2 Crossref
Characterization of Post-Rainy Season Grown Indigenous and Exotic Germplasm Lines of Sorghum for Morphological and Yield Traits
Ashok Badigannavar, A. Ashok Kumar, G. Girish, T.R. Ganapathi
Plant Breed. Biotech. 2017;5(2):106-114.   Published online June 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.2.106

Sorghum is a major staple crop and vital for the marginal farmers in Asian and African countries. Landraces or germplasm lines adapted to biotic and abiotic stresses are the prime source of adaptive traits in the crop breeding programs. In order to assess the genetic variability, 141 exotic germplasm lines and 36 popular varieties were evaluated for eight agro-morphological traits. Wide range of values were observed for grain yield (6.6–124.4 g/plant), seed index (1.5–7.1 g/100 seeds), panicle length (8–44 cm) and panicle width (7.25 cm). High genotypic and phenotypic coefficient of variation was observed for grain yield per plant. The values of broad sense heritability in the sorghum core population ranged from 0.75 to 0.99. Seed weight, days to flowering, panicle width and leaf area were significantly correlated with grain yield (P ≤ 0.01). Seed weight was positively correlated with panicle width (correlation coefficient 0.31), while negatively correlated with panicle length (correlation coefficient −0.15). Cluster analysis resolved all the genotypes into four major clusters. Among germplasm lines, TSG-313 had high seed weight of 7.05 g/100 seeds, while TSG-325 had highest grain yield of 124.4 g/plant as against control variety. Germplasm lines with high heritability scores would help us to utilise them in recombination breeding.

Citations

Citations to this article as recorded by  
  • Post-flowering drought stress response of advanced breeding lines and cultivars in post-rainy season sorghum [Sorghum bicolor (L.)] Moench
    S.K. Pooja, Basavaraj Bagewadi, D.P. Biradar, I.S. Katageri, Rakeshkumar S. Choudhary, B. Fakrudin
    South African Journal of Botany.2025; 178: 266.     CrossRef
  • Genetic variability assessment of post‐flowering drought stress tolerance in selected sorghum (Sorghum bicolor L. Moench) genotypes
    Yirgalem Tsehaye, Fetien Abay, Taye Tadesse, Kassahun Bantte, Temesgen M. Menamo
    Agrosystems, Geosciences & Environment.2025;[Epub]     CrossRef
  • 11 View
  • 0 Download
  • 2 Crossref
Genetic Diversity and Population Structure of Rubus Accessions Using Simple Sequence Repeat Markers
Kyung Jun Lee, Gi-An Lee, Hee-Kyoung Kang, Jung-Ro Lee, Sebastin Raveendar, Myoung-Jae Shin, Yang-Hee Cho, Kyung-Ho Ma
Plant Breed. Biotech. 2016;4(3):345-351.   Published online August 31, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.3.345

Sixty-nine Rubus accessions were analyzed to determine the genetic relationships using simple sequence repeat (SSR) markers. Twenty-three SSR markers generated a total of 351 alleles from all accessions, with an average of 15.3 alleles per locus. The average value of polymorphism information content was 0.76, ranging from 0.52 to 0.91. As a result of population structure analysis, 69 Rubus accessions of six Rubus species were subdivided into six subpopulations. Four subpopulations included distinct Rubus species accessions; pop2 (Rubus crataegifolius var. subcuneatus, 2 accessions), pop3 (R. crataegifolius Bunge., 18 accessions), pop4 (R. fruticosus L., 3 accessions) and pop6 (R. coreanus Miq., 36 accessions) while The pop1 and pop5 mainly included R. idaeus L. and R. parvifolius L., respectively. In cluster analysis, 69 Rubus accessions were divided into three groups. Group I contained 35 Rubus accessions, which consisted of six Rubus species. Groups II and III had 30 and 4 Rubus accessions, respectively. They consisted of only R. coreanus. The uncertain diversity of species and artificial groups of the Rubus genus has created confusion with respect to the correct classification of the species at both commercial and scientific levels. The results of the present study will provide basic information for phylogeny, taxonomy and breeding programs of Rubus species.

Citations

Citations to this article as recorded by  
  • Genetic diversity and population structure of some blackberry genotypes collected from different parts of Türkiye using inter simple sequence repeat (ISSR) markers
    Fatma Alan, Aydın Uzun, Hasan Pınar
    Genetic Resources and Crop Evolution.2025; 72(7): 9001.     CrossRef
  • Cross-transferability of Rubus ellipticus EST–SSR markers for genetic diversity analysis of peach (Prunus persica)
    Samriti Sharma, Rajinder Kaur, Krishan Kumar, Heerendra Sagar
    Genetic Resources and Crop Evolution.2024; 71(4): 1615.     CrossRef
  • Genetic diversity and population relationships in wild Korean black raspberry (Rubus coreanus Miq.) based on microsatellite markers: establishing a fruit tree breeding strategy
    Sung-Kyung Han, Hanna Shin, Jei-Wan Lee, Kyung-Nak Hong, Ji-Young Ahn
    Horticulture, Environment, and Biotechnology.2024; 65(2): 293.     CrossRef
  • Genetic differentiation between Czech and Norwegian raspberry populations: new options for breeding
    Jiří Sedlák, Leona Leišová-Svobodová, Inger Martinussen, Vojtěch Holubec
    Euphytica.2022;[Epub]     CrossRef
  • Genetic variability in Rubus ellipticus collections assessed by morphological traits and EST-SSR markers
    Samriti Sharma, Rajinder Kaur, Krishan Kumar, Dinesh Kumar, Amol Kumar U. Solanke
    Journal of Plant Biochemistry and Biotechnology.2021; 30(1): 37.     CrossRef
  • Evaluación de marcadores microsatélites (SSRs) heterólogos en Rubus niveus para estudios de diversidad genética en las Islas Galápagos
    Pablo Alarcón Bolaños, María de Lourdes Torres, Gabriela Pozo, María Paula Erazo, Mayra Ortega, Estefanía Rojas, Noelia Barriga, Antonio Leon Reyes
    ACI Avances en Ciencias e Ingenierías.2021; 13(2): 20.     CrossRef
  • Recent Large-Scale Genotyping and Phenotyping of Plant Genetic Resources of Vegetatively Propagated Crops
    Hilde Nybom, Gunārs Lācis
    Plants.2021; 10(2): 415.     CrossRef
  • MODERN WAYS OF RASPBERRY BREEDING
    L. V. FROLOVA, T. A. HASHENKO, O. A. HASHENKO
    Fruit-Growing.2021; 33: 211.     CrossRef
  • Genetic diversity of the Andean blackberry (Rubus glaucusBenth.) in Ecuador assessed by AFLP markers
    Patricia Garrido, Eduardo Morillo, Wilson Vásquez-Castillo
    Plant Genetic Resources: Characterization and Utilization.2020; 18(4): 243.     CrossRef
  • Molecular markers in the genetic diversity studies of representatives of the genus Rubus L. and prospects of their application in breeding
    A. M. Kamnev, O. Yu. Antonova, S. E. Dunaeva, T. A. Gavrilenko, I. G. Chukhina
    Vavilov Journal of Genetics and Breeding.2020; 24(1): 20.     CrossRef
  • Genetic and genomic resources for Rubus breeding: a roadmap for the future
    Toshi M. Foster, Nahla V. Bassil, Michael Dossett, Margaret Leigh Worthington, Julie Graham
    Horticulture Research.2019;[Epub]     CrossRef
  • 19 View
  • 0 Download
  • 11 Crossref
Genetic Diversity and Population Structure of Asian Tomato Accessions Based on Simple-Sequence Repeats
Sebastin Raveendar, Jong-Wook Chung, Gi-An Lee, Jung-Ro Lee, Kyung-Jun Lee, Myoung-Jae Shin, Yang-Hee Cho, Kyung-Ho Ma
Plant Breed. Biotech. 2016;4(3):306-314.   Published online August 31, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.3.306

Tomato (Solanum lycopersicum L.) is one of the most economically important plants in the family Solanaceae. Understanding its genetic diversity of accessions is vital for additional collection of tomato germplasms. The
objective
of this study was to determine the genetic diversity and population structure of 355 tomato accessions from Asia using 18 simple-sequence repeats (SSRs). A total of 176 alleles were detected at an average of ten alleles per SSR locus. The average major allele frequency and polymorphic information content were 0.69 and 0.39, respectively. Model-based structure analysis revealed two subpopulations (88%), including admixtures (11%) in the 355 Asian tomato accessions, consistent with clustering results based on genetic distance. The overall FST value was 0.135, indicating a moderate differentiation between the inferred subpopulations. Analysis of molecular variance showed that the genetic variance among geographical groups was less than 6%, in contrast to 86% of genetic variance among individuals. The results from this study will provide important information for future germplasm conservation and improvement programs for tomato.

Citations

Citations to this article as recorded by  
  • Next generation sequencing technologies to explore the diversity of germplasm resources: Achievements and trends in tomato
    Pasquale Tripodi
    Computational and Structural Biotechnology Journal.2022; 20: 6250.     CrossRef
  • Genetic diversity, population structure and validation of SSR markers linked to Sw-5 and I-2 genes in tomato germplasm
    Saidaiah Pidigam, Vishnukiran Thuraga, Suchandranath Babu Munnam, Geetha Amarapalli, Gopal Kuraba, Someswara Rao Pandravada, Srinivas Nimmarajula, Hari Kishan Sudini
    Physiology and Molecular Biology of Plants.2021; 27(8): 1695.     CrossRef
  • 16 View
  • 0 Download
  • 2 Crossref
Characterization of Selected Rice Varieties Adapted in Africa
Abebe Megersa, Jeonghwan Seo, Joong Hyoun Chin, Backki Kim, Hee-Jong Koh
Plant Breed. Biotech. 2016;4(3):297-305.   Published online August 31, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.3.297

Rice varieties developed through the inter-specific crosses between Asian (Oryza sativa L.) and African cultivated rice (O. glaberrima Steud.) have contributed to yield enhancement of African rice. However, the genetic diversity and genetic structure of the African varieties have rarely been reported. In this study, we characterized 40 rice varieties including rice released in Africa based on eleven yield related agronomic traits and 96 single nucleotide polymorphism (SNP) markers. They were grouped into three categories based on the cluster analysis using agronomic traits. Meanwhile, they were grouped into two distinct clusters, indica- and japonica-type, based on the genetic distance using 96 SNP markers. CG14, which belongs to O. glaberrima, was found to be an admixture type between indica and japonica. The number of secondary branches (SBs) was the only agronomic trait which was significantly different between two groups. The results of this study provide basic agronomic and genomic information of cultivated and tested rice varieties for Africa, that would be helpful for further rice varietal improvement in Africa.

Citations

Citations to this article as recorded by  
  • Analysis of Agricultural Traits of O. sativa and O. glaberrima under Korean Climatic Conditions
    Jae-Ryoung Park, Hyun-Su Park, Jeonghwan Seo, Chang-Min Lee, Songhee Park, Mina Jin, Keon Mi Lee, Keunpyo Lee, Sukyeung Lee, Ebrima Jallow, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(2): 97.     CrossRef
  • QTL Analysis of Rice Grain Size Using Segregating Populations Derived from the Large Grain Line
    Ja-Hong Lee, Jeonghwan Seo, San Mar Lar, Seong-Gyu Jang, Hongjia Zhang, Ah-Rim Lee, Fang-Yuan Cao, Na-Eun Kim, Joohyun Lee, Soon-Wook Kwon
    Agriculture.2021; 11(6): 565.     CrossRef
  • Development and application of indica–japonica SNP assays using the Fluidigm platform for rice genetic analysis and molecular breeding
    Jeonghwan Seo, Gileung Lee, Zhuo Jin, Backki Kim, Joong Hyoun Chin, Hee-Jong Koh
    Molecular Breeding.2020;[Epub]     CrossRef
  • 10 View
  • 0 Download
  • 3 Crossref

Review Article

Genome Sequencing, a Milestone for Genomic Research and Plant Breeding
Md. Amdadul Huq, Shahina Akter, Yu-Jin Jung, Ill Sup Nou, Yong-Gu Cho, Kwon-Kyoo Kang
Plant Breed. Biotech. 2016;4(1):29-39.   Published online February 28, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.1.29

Plant breeding programs are often used to improve varieties through creating diverse agronomic traits. During a breeding program, a lot of genetic diversities are created in the genome after different generations through homologous recombination. Genome sequencing technology has revolutionized the discovery of genes and molecular markers associated with diverse agronomic traits in crop improvement programs. Genomic research is now in the peak of success, thus creating new opportunities for crop improvement modern sequencing technology is now capable of sequencing thousands to millions of bases per run. Modern sequencing technologies enable the sequencing of different cultivars with small to complex genomes at a reasonable time and cost. These massive data can be used to identify important agronomic traits of crops such as fruit color, size, ripening, flowering time adaptation, grain yield, and quality maintenance. In addition, they can be used to develop crop varieties. This mini-review is focused on the role of genome sequencing in genomic research and plant breeding for crop improvements.

Citations

Citations to this article as recorded by  
  • Combining Traditional Breeding with Molecular Techniques: An Integrative Approach
    Md. Nahid Hasan, Tasmina Islam Simi, Sk Shoaibur Rahaman, Md. Abdur Rahim
    Phyton.2025; 94(8): 2313.     CrossRef
  • Genome resequencing reveals the population structure and genetic diversity of almond in Xinjiang, China
    Pengyu Wu, Dong Li, Rui Zhuang, Hao Zuo, Zhiyong Pan, Bo Yang, Chongzhi Xu
    Genetic Resources and Crop Evolution.2023; 70(8): 2713.     CrossRef
  • Mechanism and Utilization of Ogura Cytoplasmic Male Sterility in Cruciferae Crops
    Wenjing Ren, Jinchao Si, Li Chen, Zhiyuan Fang, Mu Zhuang, Honghao Lv, Yong Wang, Jialei Ji, Hailong Yu, Yangyong Zhang
    International Journal of Molecular Sciences.2022; 23(16): 9099.     CrossRef
  • Molecular Marker Development and Gene Cloning for Diverse Disease Resistance in Pepper (Capsicum annuumL.): Current Status and Prospects
    Geleta Dugassa Barka, Jundae Lee
    Plant Breeding and Biotechnology.2020; 8(2): 89.     CrossRef
  • Current understanding of male sterility systems in vegetable Brassicas and their exploitation in hybrid breeding
    Saurabh Singh, S. S. Dey, Reeta Bhatia, Raj Kumar, T. K. Behera
    Plant Reproduction.2019; 32(3): 231.     CrossRef
  • Next generation crop improvement program: Progress and prospect in tea ( Camellia sinensis (L.) O. Kuntze)
    Anjan Hazra, Nirjhar Dasgupta, Chandan Sengupta, Sauren Das
    Annals of Agrarian Science.2018; 16(2): 128.     CrossRef
  • 16 View
  • 0 Download
  • 6 Crossref

Research Article

Genetic Diversity Among Korean Rice Landraces (Oryza sativa L.) Based on Characters and SSR Markers
Kyung Jun Lee, Jong-Ro Lee, Gi-An Lee, Ho Sun Lee, Soon Ik Kwon, Yong-Gu Cho, Yang-Hee Cho, Kyung-Ho Ma, Sok-Young Lee, Jong-Wook Chung
Plant Breed. Biotech. 2015;3(3):216-225.   Published online September 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.3.216

In order to estimate genetic diversity of Korean rice landraces, rice characters and SSR markers of 76 rice germplasms were analyzed. Of 12 rice characters, amylose content (AC) showed as largest variance (4.9 to 28.9%), whereas grain length (GL) showed as the lowest variance (4.4 to 5.9 mm). In principal component analyses (PCA), the first principal component explained 60.3% of total variance, in which culm length (CL) and growth period (GP) showed as positive variance and AC showed as negative variance. The second principal component explained an additional 22.4% of the total variance, in which GP and AC showed highly positive variables and CL showed a negative variable. Forty nine SSR markers produced a total of 473 alleles with an average of 9.65 alleles. Polymorphism information content (PIC) was in the range of 0.11 to 0.93. Average observed heterozygosity ranged from 0.12 to 0.39, with an average value of 0.61. As a result of STRUCTURE analysis, 76 Korean rice landraces showed two subpopulations. In clustering analysis, rice characters and SSR markers were clustered into four groups and three groups, respectively. However, they were not significant different from each other. These results provided insight into the characteristics of Korean rice landraces, thus improving our knowledge on rice breeding.

Citations

Citations to this article as recorded by  
  • Genome-Wide Association Study to identify Bakanae disease resistance-related QTLs carrying novel candidate genes in rice (Oryza sativa L.)
    Yuting Zeng, Fang-Yuan Cao, Ah-Rim Lee, Dongryung Lee, Backki Kim, Soon-Wook Kwon
    npj Science of Plants.2025;[Epub]     CrossRef
  • Physio-biochemical and molecular characterization for drought tolerance in rice genotypes at early seedling stage
    Al-Ashkar IM, Zaazaa EI, EL Sabagh A, Barutçular C
    Journal of Experimental Biology and Agricultural Sciences.2016; 4(6): 675.     CrossRef
  • 21 View
  • 0 Download
  • 2 Crossref

Review Article

Soybean [Glycine max (L.) Merrill]: Importance as A Crop and Pedigree Reconstruction of Korean Varieties
Chaeyoung Lee, Man-Soo Choi, Hyun-Tae Kim, Hong-Tai Yun, Byungwook Lee, Young-Soo Chung, Ryan W. Kim, Hong-Kyu Choi
Plant Breed. Biotech. 2015;3(3):179-196.   Published online September 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.3.179

Soybean [Glycine max (L.) Merrill] is one of the most important crops in the world and in Korea as well. Since the official start of soybean breeding program in Korea at which a landrace ‘Jangdanbaekmok’ was first released to promote cultivation in 1913, approximately one century has elapsed. Currently, a total of 178 soybean varieties are registered at two representative Korean national institutes, the RDA-Genebank Information Center (http://www.genebank.go.kr) and the Korea Seed & Variety Service (http://www.seed.go.kr). Of these, 155 varieties (87.1%) have been developed through hybridization-based breeding technologies, of which most cultivars (133 varieties, 85.8%) have been released in the last twenty five years. In this review, we attempted to integrate all the information for individual cultivars and to rebuild a breeding pedigree including the entirety of registered Korean soybean varieties. The analysis has resulted in a total of four pedigrees involving 168 cultivars (94.4% out of 178 cultivars), which form the broadest network of pedigrees. Each of pedigrees highlights different key varieties within the context of progenitor networks derived from crossing of various elite parental lines as follows; pedigree I-‘Kwangkyo’, ‘Hwangkeumkong’, ‘Paldalkong’ and ‘Sinpaldalkong2’, pedigree II-‘Baegunkong’, ‘Jangyeobkong’ and ‘Keunolkong’, pedigree III-‘Danyeob’, ‘Pangsa’ and ‘Eunhakong’. These pedigrees also reveal purpose (i.e., desirable traits)-driven development of characteristic soybean varieties during the past century of breeding history in Korea. We expect that the pedigree reconstructed in this study will provide breeders with information useful to design breeding schema and guidance towards the genomics-assisted soybean improvement in the future.

Citations

Citations to this article as recorded by  
  • Transcriptomic and Metabolic Insight Into Flavonoid Biosynthesis Underlying Black and Yellow Seed Coat Color Variation in Soybean (Glycine max)
    Kahee Moon, Prakash Basnet, Seung Young Choi, Beom‐Soon Choi, Grace Lachica, Nam‐Il Park, Kyong‐Cheul Park, Taeyoung Um, Ik‐Young Choi
    Plant Direct.2026;[Epub]     CrossRef
  • The Soybean Cultivar ‘Dadrim’ Exhibits a High Tofu Process Ability, Large Seeds, and High-Yield
    Beom Kyu Kang, Jeong Hyun Seo, Jun Hoi Kim, Su Vin Heo, Man Soo Choi, Jee Yeon Ko, Byung Won Lee, In Youl Baek, Jae Seong Park, Choon Song Kim, Ji Ho Choo, Won Young Han, Myeong Cheol Seo, Myung Hee Lee, Nam Geol Kim, Gi Young Kim, Taek Rim Lee, Ji Ae Lee
    Korean Journal of Breeding Science.2026; 58(1): 31.     CrossRef
  • Advancements in Molecular Breeding Techniques for Soybeans
    Ivan Fetisov, Olga Eizikovich, Dominique Charles Diouf, Elena Romanova, Parfait Kezimana
    Plants.2025; 15(1): 5.     CrossRef
  • Molecular Characterization of an EMS-Induced Ab-γg-Rich Saponin Mutant in Soybean (Glycine max (L.) Merr.)
    Junbeom Park, Haereon Son, Hyun Jo, Chigen Tsukamoto, Jinwon Lee, Jeong-Dong Lee, Hak Soo Seo, Jong Tae Song
    Agronomy.2025; 15(3): 648.     CrossRef
  • Quantitative Trait Locus Mapping and Identification of Candidate Genes Controlling Sucrose and Stachyose Contents in Soybean [Glycine max (L.) Merr.]
    Hye Rang Park, Jeong‐Hyun Seo, Eunsoo Lee, Beom‐Kyu Kang, Jun‐Hoi Kim, Su Vin Heo, Yeong‐Hoon Lee, Won Young Han, Jee Yeon Ko
    Plant Breeding.2025; 144(4): 559.     CrossRef
  • Soybean Molecular Breeding Through Genome Editing Tools: Recent Advances and Future Perspectives
    Chan Yong Kim, Sivabalan Karthik, Hyeran Kim
    Agronomy.2025; 15(8): 1983.     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
  • Paddy Field and Mechanization-Adaptable Soybean Cultivar, ‘Jangpung’, with Fewer Branches and Higher First Pod Height
    Beom Kyu Kang, Jeong Hyun Seo, Jun Hoi Kim, Su Vin Heo, Gi Rim Park, Won Young Han, Myung Chul Seo, Yeong Hoon Lee, In Youl Baek, Jee Yeon Ko, Ji Hee Park, Jung Suk Sung, Hong Sik Kim, Chan Sik Jung, Hye Sun Choi, Yeong Min Jo, Eun Byul Go, Ji Ae Lee
    Korean Journal of Breeding Science.2024; 56(4): 547.     CrossRef
  • Increased yield performance of mutation induced Soybean genotypes at varied agro-ecological conditions
    M. S. H. Bhuiyan, M. A. Malek, R. M. Emon, M. K. Khatun, Mohammad Moneruzzaman Khandaker, Md. Amirul Alam
    Brazilian Journal of Biology.2024;[Epub]     CrossRef
  • Identification of the Initial Anthesis of Soybean Varieties Based on UAV Multispectral Time-Series Images
    Di Pan, Changchun Li, Guijun Yang, Pengting Ren, Yuanyuan Ma, Weinan Chen, Haikuan Feng, Riqiang Chen, Xin Chen, Heli Li
    Remote Sensing.2023; 15(22): 5413.     CrossRef
  • Genetic Diversity of Korean Black Soybean (Glycine max L.) Germplasms with Green Cotyledons Based on Seed Composition Traits
    Ji Yun Lee, Hyun Jo, Chang Ki Son, Jeong Suk Bae, Jeong-Dong Lee
    Agriculture.2023; 13(2): 406.     CrossRef
  • Biogenic Selenium Nanoparticles: Anticancer, Antimicrobial, Insecticidal Properties and Their Impact on Soybean (Glycine max L.) Seed Germination and Seedling Growth
    Asmaa Abdelsalam, Heba El-Sayed, Heba M. Hamama, Mostafa Y. Morad, Abeer S. Aloufi, Rehab M. Abd El-Hameed
    Biology.2023; 12(11): 1361.     CrossRef
  • Breeding for black rot resistance in grapevine: advanced approaches for germplasm screening
    Paola Bettinelli, Daniela Nicolini, Oscar Giovannini, Marco Stefanini, Ludger Hausmann, Silvia Vezzulli
    Euphytica.2023;[Epub]     CrossRef
  • Selection of Soybean Accessions with Seed Storability Test Under Accelerated Aging Conditions
    Hyun Jo, Noy Noy, Jong Tae Song, Jeong-Dong Lee
    Plant Breeding and Biotechnology.2023; 11(4): 263.     CrossRef
  • QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean
    Hye Rang Park, Jeong Hyun Seo, Beom Kyu Kang, Jun Hoi Kim, Su Vin Heo, Man Soo Choi, Jee Yeon Ko, Choon Song Kim
    Plants.2023; 12(20): 3589.     CrossRef
  • GWAS and genomic selection for marker-assisted development of sucrose enriched soybean cultivars
    Awais Riaz, Qasim Raza, Anuj Kumar, Derek Dean, Kenani Chiwina, Theresa Makawa Phiri, Julie Thomas, Ainong Shi
    Euphytica.2023;[Epub]     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 expansion impacts on soil organic matter in the eastern region of the Maranhão State (Northeastern Brazil)
    Marcos Siqueira‐Neto, Gustavo V. Popin, Gregori E. Ferrão, Arthur K. B. Santos, Carlos E. P. Cerri, Tiago O. Ferreira
    Soil Use and Management.2022; 38(2): 1203.     CrossRef
  • Black Soybean Cultivar ‘Gyeongheukcheong’ with Dark Green Cotyledon and High Yield Potential
    Ji Yun Lee, Chang Ki Son, Jeong Suk Bae, Hyeon Tae Cho, Hong Jib Choi, Jeong-Dong Lee, Hyun Jo
    Korean Journal of Breeding Science.2022; 54(4): 461.     CrossRef
  • Black Soybean Cultivar “Saebaram” with Dark Green Cotyledons and a Large Seed Size
    Ji Yun Lee, Chang Ki Son, Jeong Suk Bae, Hyeon Tae Cho, Hong Jib Choi, Jeong-Dong Lee, Hyun Jo
    Korean Journal of Breeding Science.2022; 54(4): 453.     CrossRef
  • Modeling the Influence of Seasonal Climate Variability on Soybean Yield in a Temperate Environment: South Korea as a Case Study
    Golden Odey, Bashir Adelodun, Gunho Cho, Seulgi Lee, Khalid Adeola Adeyemi, Kyung Sook Choi
    International Journal of Plant Production.2022; 16(2): 209.     CrossRef
  • Semi-Early Maturing, Shattering Resistant, Large Seed, and High Yield Soybean Cultivar, “Seonyu2ho,” for Double Cropping
    Beom Kyu Kang, Jeong Hyun Seo, Hyun Tae Kim, In Youl Baek, Man Soo Choi, Chang Hwan Park, Hong Tae Yun, Sang Ouk Shin, Hong Sik Kim, Do Yeon Gwak, Ji Yeon Ko, Jung Suk Seong, Jae Bok Hwang, Jun Hoi Kim, Su Vin Heo, Chan Sik Jung, Nam Geol Kim, Yeong Min J
    Korean Journal of Breeding Science.2022; 54(4): 411.     CrossRef
  • SoyPedi: A searchable pedigree‐linked web interface for phenotypic data of soybean cultivars
    Min‐Gyun Jeong, Chaeyoung Lee, Jin‐Hyun Kim, Joo‐Seok Park, Yoram Choi, Hye Jeong Kim, Young‐Soo Chung, Hong‐Kyu Choi
    Crop Science.2022; 62(6): 2319.     CrossRef
  • Geographical distribution and genetic diversity of Bradyrhizobium spp. isolated from Korean soybean root nodules
    Ye-eun Kim, Hanseob Shin, Youri Yang, Hor-Gil Hur
    Applied Biological Chemistry.2022;[Epub]     CrossRef
  • Agronomic Traits of a New Soybean Germplasm with Higher Ratio of Four-seeded Pods
    Hyun Jo, Ammala Namsavanh, Changwan Woo, Hwayeop Kim, Syada Nizer Sultana, Jong Tae Song, Jeong-Dong Lee
    Plant Breeding and Biotechnology.2022; 10(3): 197.     CrossRef
  • Genome-wide association study, haplotype analysis, and genomic prediction reveal the genetic basis of yield-related traits in soybean (Glycine max L.)
    Javaid Akhter Bhat, Kehinde Adewole Adeboye, Showkat Ahmad Ganie, Rutwik Barmukh, Dezhou Hu, Rajeev K. Varshney, Deyue Yu
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • RNA-seq Gene Profiling Reveals Transcriptional Changes in the Late Phase during Compatible Interaction between a Korean Soybean Cultivar (Glycine max cv. Kwangan) and Pseudomonas syringae pv. syringae B728a
    Myoungsub Kim, Dohui Lee, Hyun Suk Cho, Young-Soo Chung, Hee Jin Park, Ho Won Jung
    The Plant Pathology Journal.2022; 38(6): 603.     CrossRef
  • Identification of noble candidate gene associated with sensitivity to phytotoxicity of etofenprox in soybean
    Ji-Min Kim, Jungmin Ha, Ilseob Shin, Ju Seok Lee, Jung-Ho Park, Jeong-Dong Lee, Sungteag Kang
    Scientific Reports.2022;[Epub]     CrossRef
  • Novel Allele of FAD2-1A from an EMS-Induced Mutant Soybean Line (PE529) Produces Elevated Levels of Oleic Acid in Soybean Oil
    Hyun Jo, Changwan Woo, Nabachwa Norah, Jong Tae Song, Jeong-Dong Lee
    Agronomy.2022; 12(9): 2115.     CrossRef
  • Identification of a novel trait associated with phytotoxicity of an insecticide etofenprox in soybean
    Ji-Min Kim, Jungmin Ha, Kyung-Hye Kim, Taeklim Lee, Jinho Heo, Jiyeong Jung, Juseok Lee, Sungteag Kang
    Journal of Pesticide Science.2021; 46(2): 168.     CrossRef
  • Role of conventional and molecular techniques in soybean yield and quality improvement: A critical review
    Gai YUHONG, Adnan RASHEED, Zhao ZHOU, John J. GARDINER, Muhammad ILYAS, Muhammad AKRAM, Wang PIWU, Syed F.G. GILLANI, Maria BATOOL, Wei JIAN
    Notulae Botanicae Horti Agrobotanici Cluj-Napoca.2021; 49(4): 12555.     CrossRef
  • Genetic Diversity of Soybeans (Glycine max (L.) Merr.) with Black Seed Coats and Green Cotyledons in Korean Germplasm
    Hyun Jo, Ji Yun Lee, Hyeontae Cho, Hong Jib Choi, Chang Ki Son, Jeong Suk Bae, Kristin Bilyeu, Jong Tae Song, Jeong-Dong Lee
    Agronomy.2021; 11(3): 581.     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
  • Modeling the Impacts of Climate Change on Yields of Various Korean Soybean Sprout Cultivars
    Chang Yong Yoon, Sojung Kim, Jaepil Cho, Sumin Kim
    Agronomy.2021; 11(8): 1590.     CrossRef
  • Optimizing the Experimental Method for Stomata-Profiling Automation of Soybean Leaves Based on Deep Learning
    Syada Nizer Sultana, Halim Park, Sung Hoon Choi, Hyun Jo, Jong Tae Song, Jeong-Dong Lee, Yang Jae Kang
    Plants.2021; 10(12): 2714.     CrossRef
  • Identification of a Potential Gene for Elevating ω-3 Concentration and Its Efficiency for Improving the ω-6/ω-3 Ratio in Soybean
    Hyun Jo, Minsu Kim, Hyeontae Cho, Bo-Keun Ha, Sungtaeg Kang, Jong Tae Song, Jeong-Dong Lee
    Journal of Agricultural and Food Chemistry.2021; 69(13): 3836.     CrossRef
  • Potential of vegetable soybean cultivation in Lithuania
    Julė JANKAUSKIENĖ, Aušra BRAZAITYTĖ, Viktorija VAŠTAKAITĖ-KAIRIENĖ
    Notulae Botanicae Horti Agrobotanici Cluj-Napoca.2021; 49(1): 12267.     CrossRef
  • Construction of Soybean Mutant Diversity Pool (MDP) Lines and an Analysis of Their Genetic Relationships and Associations Using TRAP Markers
    Dong-Gun Kim, Jae Il Lyu, Min-Kyu Lee, Jung Min Kim, Nguyen Ngoc Hung, Min Jeong Hong, Jin-Baek Kim, Chang-Hyu Bae, Soon-Jae Kwon
    Agronomy.2020; 10(2): 253.     CrossRef
  • Genetic Diversity Patterns and Discrimination of 172 Korean Soybean (Glycine max (L.) Merrill) Varieties Based on SSR Analysis
    Tae-Young Hwang, Byeong Sam Gwak, Jwakyung Sung, Hong-Sig Kim
    Agriculture.2020; 10(3): 77.     CrossRef
  • Validation of marker-assisted selection in soybean breeding program for pod shattering resistance
    Ji-Min Kim, Kyung-Hye Kim, Jiyeong Jung, Beom Kyu Kang, Juseok Lee, Bo-Keun Ha, Sungtaeg Kang
    Euphytica.2020;[Epub]     CrossRef
  • The Prospect of Bentazone-Tolerant Soybean for Conventional Cultivation
    Liakat Ali, Hyun Jo, Jong Tae Song, Jeong-Dong Lee
    Agronomy.2020; 10(11): 1650.     CrossRef
  • Genetic Analysis of Foxglove Aphid (Aulacorthum solani Kaltenbach) Resistance in Soybeans
    Hong-Min Koh, Bo Yoon Seo, Kyung Hye Kim, Ji-Min Kim, Taeklim Lee, Jinho Heo, Jiyeong Jung, Jinkyo Jung, Sungteag Kang
    Korean Journal of Breeding Science.2020; 52(4): 354.     CrossRef
  • Environmental Stability of Elevated α-Linolenic Acid Derived from a Wild Soybean in Three Asian Countries
    Hyun Jo, Minsu Kim, Liakat Ali, Rupesh Tayade, Danim Jo, Duc Thao Le, Siviengkhek Phommalth, Bo-Keun Ha, Sungtaeg Kang, Jong Tae Song, Jeong-Dong Lee
    Agriculture.2020; 10(3): 70.     CrossRef
  • Soybean Viromes in the Republic of Korea Revealed by RT-PCR and Next-Generation Sequencing
    Yeonhwa Jo, Young Nam Yoon, Yun-Woo Jang, Hoseong Choi, Yeong-Hoon Lee, Sang-Min Kim, Soo Yeon Choi, Bong Choon Lee, Won Kyong Cho
    Microorganisms.2020; 8(11): 1777.     CrossRef
  • Phytochemicals and Antioxidant Activity of Korean Black Soybean (Glycine max L.) Landraces
    Kyung Jun Lee, Da-Young Baek, Gi-An Lee, Gyu-Taek Cho, Yoon-Sup So, Jung-Ro Lee, Kyung-Ho Ma, Jong-Wook Chung, Do Yoon Hyun
    Antioxidants.2020; 9(3): 213.     CrossRef
  • Silicon Confers Soybean Resistance to Salinity Stress Through Regulation of Reactive Oxygen and Reactive Nitrogen Species
    Yong Suk Chung, Ki-Seung Kim, Muhammad Hamayun, Yoonha Kim
    Frontiers in Plant Science.2020;[Epub]     CrossRef
  • Highly geographical specificity of metabolomic traits among Korean domestic soybeans (Glycine max)
    Eun Mi Lee, Soo Jin Park, Jung-Eun Lee, Bo Mi Lee, Byeung Kon Shin, Dong Jin Kang, Hyung-Kyoon Choi, Young-Suk Kim, Do Yup Lee
    Food Research International.2019; 120: 12.     CrossRef
  • Biosynthesis of DDMP saponins in soybean is regulated by a distinct UDP‐glycosyltransferase
    Jagadeesh Sundaramoorthy, Gyu Tae Park, Kumpei Komagamine, Chigen Tsukamoto, Jeong Ho Chang, Jeong‐Dong Lee, Jeong Hoe Kim, Hak Soo Seo, Jong Tae Song
    New Phytologist.2019; 222(1): 261.     CrossRef
  • Lodging-Tolerant, High Yield, Mechanized-Harvest Adaptable and Small Seed Soybean Cultivar ‘Aram’ for Soy-sprout
    Beom Kyu Kang, Hyun Tae Kim, Jong Min Ko, Hong Tai Yun, Young Hoon Lee, Jeong Hyun Seo, Chan Sik Jung, Sang Ouk Shin, Eun Yeong Oh, Hong Sik Kim, In Seok Oh, In Youl Baek, Jae Hyun Oh, Min Jeong Seo, Woo Sam Yang, Dong Kwan Kim, Do Yeon Gwak
    Korean Journal of Breeding Science.2019; 51(3): 214.     CrossRef
  • Soybean-VCF2Genomes: a database to identify the closest accession in soybean germplasm collection
    Jungmin Ha, Ho Hwi Jeon, Dong U. Woo, Yejin Lee, Halim Park, Joohyeong Lee, Yang Jae Kang
    BMC Bioinformatics.2019;[Epub]     CrossRef
  • Retracted: Dissection of soybean populations according to selection signatures based on whole-genome sequences
    Jae-Yoon Kim, Seongmun Jeong, Kyoung Hyoun Kim, Won-Jun Lim, Ho-Yeon Lee, Namhee Jeong, Jung-Kyung Moon, Namshin Kim
    GigaScience.2019;[Epub]     CrossRef
  • Comparative assessment of quality characteristics of Chungkookjang made from soybean seeds differing in oleic acid concentration
    Dong-Ho Lee, Krishnanand P. Kulkarni, Byung-Oh Kim, Young Mi Seok, Jong Tae Song, Jeong-Dong Lee
    Journal of Functional Foods.2019; 52: 529.     CrossRef
  • Identification and Chromosomal Reshuffling Patterns of Soybean Cultivars Bred in Gangwon-do using 202 InDel Markers Specific to Variation Blocks
    Hwang-Bae Sohn, Yun-Ho Song, Su-Jeong Kim, Su-Young Hong, Ki-Deog Kim, Bon-Cheol Koo, Yul-Ho Kim
    Korean Journal of Breeding Science.2018; 50(4): 396.     CrossRef
  • Black soybeans protect human keratinocytes from oxidative stress‐induced cell death
    Young Yoon, Yoon‐Mi Lee, Sooji Song, Yu Young Lee, Kyung‐Jin Yeum
    Food Science & Nutrition.2018; 6(8): 2423.     CrossRef
  • Variation of Isoflavone Contents and Classification Using Multivariate Analysis in Korean Soybean Varieties Released from 1913 to 2013
    Hyun Myung Kim, Eun Kyu Jang, Byeong Sam Gwak, Tae Young Hwang, Geon Sig Yun, Se Gu Hwang, Heon Sang Jeong, Hong Sig Kim
    Korean Journal of Breeding Science.2018; 50(1): 50.     CrossRef
  • Comparison of Isoflavone Content in 43 Soybean Varieties Adapted to Highland Cultivation Areas
    Su-Young Hong, Su-Jeong Kim, Hwang-Bae Sohn, Yul-Ho Kim, Kwang-Soo Cho
    Korean Journal of Breeding Science.2018; 50(4): 442.     CrossRef
  • ‘Chamol’, an Early Maturing, High Yield, and Large-seed Soybean Cultivar for Double Cropping
    Jong Min Ko, Hyun Tae Kim, Won Young Han, In Youl Baek, Hong Tae Yun, Young Hoon Lee, Byong Won Lee, Chan Sik Jeong, Tae Joung Ha, Sang Ouk Shin, Chang Hwan Park, Hong Sik Kim, Jeong Hyun Seo, Beom Kyu Kang, Min Jeong Seo, Kyu Hwan Choi, Jeong Ho Shin, Do
    Korean Journal of Breeding Science.2018; 50(4): 478.     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
  • Growth Characteristics and Biological Responses of Korean Elite Soybean (Glycine maxL. Merr.) Cultivars Exposed to Gamma-Rays
    Juhyun Im, Jaihyunk Ryu, Woon Ji Kim, Sang Hun Kim, Si-Yong Kang, Bo-Keun Ha
    Plant Breeding and Biotechnology.2018; 6(2): 109.     CrossRef
  • Molecular mapping and genomics of soybean seed protein: a review and perspective for the future
    Gunvant Patil, Rouf Mian, Tri Vuong, Vince Pantalone, Qijian Song, Pengyin Chen, Grover J. Shannon, Tommy C. Carter, Henry T. Nguyen
    Theoretical and Applied Genetics.2017; 130(10): 1975.     CrossRef
  • Identification of SNPs tightly linked to the QTL for pod shattering in soybean
    Ju Seok Lee, Kyung Ryun Kim, Bo-Keun Ha, Sungtaeg Kang
    Molecular Breeding.2017;[Epub]     CrossRef
  • Isolation of soybean mutants with high and low inorganic phosphorus
    Jagadeesh Sundaramoorthy, Yean Joo Seo, Gyu Tae Park, Jeong-Dong Lee, Soon-Ki Park, Hak Soo Seo, Jong Tae Song
    Journal of Applied Biological Chemistry.2016; 59(3): 261.     CrossRef
  • Association of New Mutant Allele, w4‐nw, at W4 Locus with Near‐White Flower Color in Soybean
    Gyu Tae Park, Jagadeesh Sundaramoorthy, Jeong‐Dong Lee, Jeong Hoe Kim, Soon‐Ki Park, Hak Soo Seo, Jong Tae Song
    Crop Science.2016; 56(4): 1857.     CrossRef
  • Identification and Molecular Analysis of Four New Alleles at the W1 Locus Associated with Flower Color in Soybean
    Jagadeesh Sundaramoorthy, Gyu Tae Park, Jeong Ho Chang, Jeong-Dong Lee, Jeong Hoe Kim, Hak Soo Seo, Gyuhwa Chung, Jong Tae Song, Yuepeng Han
    PLOS ONE.2016; 11(7): e0159865.     CrossRef
  • Positional mapping and identification of novel quantitative trait locus responsible for UV-B radiation tolerance in soybean [Glycine max (L.) Merr.]
    Ju Seok Lee, Sungmin Kim, Bo-Keun Ha, Sungtaeg Kang
    Molecular Breeding.2016;[Epub]     CrossRef
  • 43 View
  • 0 Download
  • 65 Crossref
Research Articles
Genetic Diversity and Relationship Assessment based on AFLP Analysis in Blackberry (Rubus fructicosus L.) Mutant Lines
Jaihyunk Ryu, Bo-Keun Ha, Dong sub Kim, Jin-Baek Kim, Sang Hoon Kim, Joon-Woo Ahn, Il Yun Jeong, Han-Jik Jo, Ee-Yup Kim, Si-Yong Kang
Plant Breed. Biotech. 2014;2(4):386-395.   Published online December 31, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.4.386

This study was carried out to evaluate the genetic diversity and relationships among fifty-six blackberry (Rubus fructicosus) mutants derived from gamma-ray treatment (fifty-two lines) by analysis of Amplified fragment length polymorphism (AFLP) markers. Both cluster analysis and principal coordinate analysis (PCOORDA) were conducted in order to study the genetic diversity, using both morphological traits and AFLP makers. A total of 589 bands were amplified with an average of 58.9 bands per primer. Among them, 560 were identified to be polymorphic, with a rate of 95.08%. A showed a highly significant (P≤0.01) positive correlation with GD and PIC (r2=0.999). MI also showed a significant (P≤0.05) positive correlation with GD and PIC. According to the clustering analysis, all mutant lines could be classified into five categories, but the three gamma-ray treatment lines and the cross-bred line were not clustered into any groups. For the morphological traits, cluster analysis divided the blackberry germplasm into six clusters and two independent groups. In addition, the morphological dendrogram indicated an unclear pattern of division among the groups based on AFLP analysis. The findings of this study indicate that mutant lines have high genetic diversity, and can be effectively utilized as materials for the improvement of breeding.

Citations

Citations to this article as recorded by  
  • Development of new genomic resources and tools for molecular breeding in blackberry
    M.L. Worthington, R. Aryal, N.V. Bassil, D. Mead, G.E. Fernandez, J.R. Clark, F. Fernández-Fernández, C.E. Finn, K.E. Hummer, H. Ashrafi
    Acta Horticulturae.2020; (1277): 39.     CrossRef
  • Genotyping-by-sequencing based single nucleotide polymorphisms enabled Kompetitive Allele Specific PCR marker development in mutant Rubus genotypes
    Jaihyunk Ryu, Woon Ji Kim, Juhyun Im, Sang Hun Kim, Kang-Seop Lee, Han-Jig Jo, Ee-Youb Kim, Si-Yong Kang, Jeong-Hee Lee, Bo-Keun Ha
    Electronic Journal of Biotechnology.2018; 35: 57.     CrossRef
  • 13 View
  • 0 Download
  • 2 Crossref
Field Performance and SSR Analysis of Drought QTL Introgression Lines of Rice
Jung-Pil Suh, Yong-Jae Won, Eok-Keun Ahn, Jeong-Heui Lee, Woon-Goo Ha, Myeong-Ki Kim, Young-Chan Cho, Eung-Gi Jeong, Bo-Kyeong Kim
Plant Breed. Biotech. 2014;2(2):158-166.   Published online June 30, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.2.158

A set of five Korean rice cultivars and seven drought-tolerant indica lines were screened under irrigated non-stress and drought-stressed conditions in the 2011 and 2012 dry seasons at IRRI, Philippines. The drought-stressed experiment received mild to moderate stress. Under drought stress, ‘IR86918-B-439-B’ had the highest grain yield among all tested lines and ‘Hanarembyeo’ had the highest grain yield among the five Korean rice cultivars. ‘IR86918-B-439-B’ also had the highest yield under irrigated non-stress conditions. The grain yield of ‘Hanareumbyeo’ was similar to ‘IR86918-B-439-B’ under non-stress conditions. SSR marker analysis was performed using 125 SSR markers for detection of polymorphic markers between the Korean rice cultivars and the drought-tolerant indica lines, and for genetic diversity analysis. Twelve polymorphic markers were identified in the region of three major drought QTLs (DTY1.1, DTY2.2, DTY3.1) in two of the Korean rice cultivars and three of the drought-tolerant lines. These polymorphic markers will be useful as foreground genotyping markers for drought-QTL introgression in Korean rice genetic backgrounds.

Citations

Citations to this article as recorded by  
  • qDTY introgression to improve the drought tolerance of Taiwanese japonica rice variety Tainan 11
    Alicia Bordeos, Amelia Henry, Arnel Pocsedio, Shalabh Dixit, Ming-Hsin Lai, Hei Leung
    Journal of Crop Improvement.2025; 39(4): 291.     CrossRef
  • Enhancing crop resilience through elite pre‐breeding lines with key traits for dry direct‐seeded rice
    Pronob J. Paul, Suyash B. Patil, Abhilash K. Vipparla, Deepti B. Sagare, Abhinav Jain, E. Balaraju, Challa Venkateswarlu, Shamshad Alam, A. Anandan, Sushant Dash, Rameshwar Sah, Anantha MS, C. Gireesh, Sanjay Kalia, Uma Maheshwar Singh, Arvind Kumar, Sank
    The Plant Genome.2025;[Epub]     CrossRef
  • Gene expression analyses of the calmodulin binding protein 60 family under water stress conditions in rice
    Bishun Deo Prasad, Ramakant, Sangita Sahni, Diksha Kumari, Pankaj Kumar, Sanjay J. Jambhulkar, Saud Alamri, Muhammad Faheem Adil
    Scientific Reports.2025;[Epub]     CrossRef
  • Drought Tolerance in a Recombinant Rice Population and the Association between Yield and Its Components with Microsatellite Markers
    Shamim Khaleghjoo, Alireza Tarang
    Journal of Crop Breeding.2021; 13(39): 14.     CrossRef
  • Genetic Diversity of Selected Rice Genotypes under Water Stress Conditions
    Mahmoud M. Gaballah, Azza M. Metwally, Milan Skalicky, Mohamed M. Hassan, Marian Brestic, Ayman EL Sabagh, Aysam M. Fayed
    Plants.2020; 10(1): 27.     CrossRef
  • 18 View
  • 0 Download
  • 5 Crossref
Preliminary Characterization and Evaluation of Landraces of Indian Spinach (Basella spp. L.) for Agro-economic and Quality Traits
Medagam Thirupathi Reddy, Hameedunnisa Begum, Neelam Sunil, Pandravada Someswara Rao, Natarajan Sivaraj, Sashi Kumar
Plant Breed. Biotech. 2014;2(1):48-63.   Published online March 31, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.1.048

Indian spinach (Basella spp. L.) is an underutilized and underexploited indigenous leafy vegetable which has high nutritional and medicinal value and extensively used in the sub-continent. Landrace germplasm is endowed with rich genetic variability for various yield and quality traits. A total of six accessions collected through an exploration during 2010 were pre-bred by selfing during the October–January cropping season in 2011. These landraces were evaluated in a randomized block design with four replications in June–September, 2012 at Vegetable Research Station, Dr. Y. S. R. Horticultural University, Rajendranagar to assess the genetic diversity, variability, heritability and genetic advance for yield and its components in the material. Multivariate analysis following Ward’s minimum variance-method revealed distinct clustering pattern. Analysis of variance revealed highly significant differences among all genotypes for all the studied traits indicating considerable variability among ecotypes for most of the measured parameters. There was significant variability for genetic potential of all genotypes for different traits under study. The highest variability at genotypic level was observed for stalk yield (73.95%) followed by leaf-stalk ratio (46.70%) and weight of tender shoot (41.25%). Low to high estimates of broad sense heritability were found in different traits. High estimates of heritability (>60%) coupled with high genetic advance as percent of mean (>20%) for petiole length, internodal length, weight of tender shoot, stalk yield, leaf-stalk ratio and harvest index revealed that most likely the heritability is due to additive gene effects and selection may be effective.

Citations

Citations to this article as recorded by  
  • Comparative study of physicochemical, nutritional, antioxidant, and sensory qualities of hydroponically grown and soil-grown choy sum (Brassica rapa subsp. chinensis var. parachinensis)
    Emily Wan Tyn Sia, Sook Wah Chan, Nallammai Singaram, Chen Hau Liew, Pek Kui Lim
    Journal of Food Measurement and Characterization.2026; 20(5): 9413.     CrossRef
  • Evaluation of Agronomic Trait Diversity and Selection of Promising Breeding Materials in 481 Oat (Avena sativa L.) Accessions
    Keunchun Park, Ja Hwan Ku, Sujung Kim, Jeong Ju Kim, Su Jeong Kim
    Korean Journal of Breeding Science.2026; 58(2): 135.     CrossRef
  • The Promotive Effect of Light on Seed Germination in Basella alba and B. rubra
    Jun-ichiro Masuda, Shohei Takamatsu, Michikazu Hiramatsu, Yukio Ozaki, Junghee Kim, Kaori Sakai, Keita Tomiyoshi
    The Horticulture Journal.2025; 94(4): 483.     CrossRef
  • Assessment of genetic diversity and principal component analysis of Spinach (Spinacia oleracea L.) genotypes for yield and other traits under North Indian plains
    Deepak Sharma, Jatinder Kumar Sharma, Radhika Negi, Munish Sharma, Jeenia Thalyari, Raman Thakur
    Environment Conservation Journal.2025; 26(4): 1312.     CrossRef
  • Correlation and path coefficient analysis in spinach genotypes for yield and agronomic traits under Jalandhar, Punjab conditions
    Deepak Sharma, Munish Sharma, Jeenia Thalyari
    International Journal of Farm Sciences.2025; 15(2): 106.     CrossRef
  • Performance of spinach genotypes for yield and associated traits under north Indian plain conditions
    Deepak Sharma, Shivani Sharma, Jeenia Thalyari
    International Journal of Farm Sciences.2025; 15(3): 26.     CrossRef
  • Genetic variability in spinach genotypes for yield and yield components under north Indian conditions
    Deepak Sharma, Shivani Sharma, Jeenia Thalyari
    International Journal of Farm Sciences.2025; 15(2): 43.     CrossRef
  • Genetic diversity assessment of accessions of Basella alba var alba and Basella alba var rubra morphotypes using vegetative and reproductive trait
    Isaac Oluwatobi Adeniran, Abolade Oluremi Bolaji
    International Journal of Vegetable Science.2024; 30(2): 163.     CrossRef
  • Variation in Nutritional Components and Antioxidant Capacity of Different Cultivars and Organs of Basella alba
    Yi Zhang, Wenjuan Cheng, Hongmei Di, Shihan Yang, Yuxiao Tian, Yuantao Tong, Huanhuan Huang, Victor Hugo Escalona, Yi Tang, Huanxiu Li, Fen Zhang, Bo Sun, Zhi Huang
    Plants.2024; 13(6): 892.     CrossRef
  • Combining Ability and Performance Evaluation of Vegetative and Reproductive Traits of Hybrids of Basella alba var alba and Basella alba var rubra Morphotypes from Southwestern Nigeria
    Isaac Oluwatobi Adeniran, Abolade O. Bolaji
    Plant Breeding and Biotechnology.2023; 11(4): 225.     CrossRef
  • Contributions of crop-wild relatives toward broadening the list of leafy vegetables
    Saubhik Das
    International Journal of Vegetable Science.2023; 29(2): 95.     CrossRef
  • Comprehensive Ethnomedicinal, Pharmacological and Phytochemical Report on Basella alba L. (Basellaceae)
    Abhijit Bose, Sabyasachi Banerjee, Sudip Kumar Mandal, Sankhadip Bose, Subhasis Maity
    Journal of Natural Remedies.2023; : 1307.     CrossRef
  • Enhancing crop growth in rooftop farms by repurposing CO2 from human respiration inside buildings
    Sarabeth Buckley, Rebecca Sparks, Elizabeth Cowdery, Finn Stirling, Jane Marsching, Nathan Phillips
    Frontiers in Sustainable Food Systems.2022;[Epub]     CrossRef
  • The inheritance of betalain pigmentation in Basella alba L.
    Vidya Sagar, Pragya, Rakesh Bhardwaj, Jyoti Devi, Sunil K Singh, PM Singh, Jagdish Singh
    South African Journal of Botany.2022; 145: 360.     CrossRef
  • Plant Growth and Nutritional Quality Attributes of Basella alba Applied with Variable Rates of Nitrogen Fertilizer at Different Planting Dates under Canadian Maritime Climatic Conditions
    Nishchitha Hemmige Natesh, Mercy O. Ijenyo, Samuel Kwaku Asiedu, H. P. Vasantha Rupasinghe, Lord Abbey, Othmane Merah
    International Journal of Agronomy.2021; 2021: 1.     CrossRef
  • Predicting suitable habitats of endangered Juniperus procera tree under climate change in Northern Ethiopia
    Haftu Abrha, Emiru Birhane, Haftom Hagos, Ashenafi Manaye
    Journal of Sustainable Forestry.2018; 37(8): 842.     CrossRef
  • Climate change impact on coffee and the pollinator bee suitable area interaction in Raya Azebo, Ethiopia
    Haftu Abrha, Fatih Yildiz
    Cogent Food & Agriculture.2018; 4(1): 1564538.     CrossRef
  • Ceylon spinach: A promising crop for skin hydrating products
    Nattaya Lourith, Mayuree Kanlayavattanakul
    Industrial Crops and Products.2017; 105: 24.     CrossRef
  • EST-SSR Based Genetic Diversity and Population Structure among Korean Landraces of Foxtail Millet (Setaria italica L.)
    Asjad Ali, Yu-Mi Choi, Yoon-Hyun Do, Sukyeung Lee, Sejong Oh, Hong-Jae Park, Yang-Hee Cho, Myung Chul Lee
    Korean Journal of Plant Resources.2016; 29(3): 322.     CrossRef
  • Identification and Phylogenetic Classification of Pennisetum (Poaceae) Ornamental Grasses Based on SSR Locus Polymorphisms
    Yuan Zhang, Xiaohuan Yuan, Wenjun Teng, Chao Chen, Juying Wu
    Plant Molecular Biology Reporter.2016; 34(6): 1181.     CrossRef
  • 10 View
  • 0 Download
  • 20 Crossref
Evaluation of Genetic Diversity and Comparison of Biochemical Traits of Soybean (Glycine max L.) Germplasm Collections
Jae Young Song, Xiang-min Piao, Yu-Mi Choi, Gi-An Lee, Jong-Wook Chung, Jung-Ro Lee, Yeonju Jung, Hong-Jae Park, Myung Chul Lee
Plant Breed. Biotech. 2013;1(4):374-384.   Published online December 31, 2013
DOI: https://doi.org/10.9787/PBB.2013.1.4.374

Assessment of the genetic variation and biochemical traits among various germplasm collections are necessary for utilization of valuable genetic resource and effective strategies of germplasm conservation. The aims of this study were to analyze the genetic diversity using SSR markers and compare protein, oil content and fatty acid composition of about 185 soybean germplasm which is comprised of Korean landraces and collections from six different global regions. Seventy two SSR markers were selected based on their distribution on the 17 genetic linkage groups of soybean. A total of 784 alleles were detected from all accessions, with an average of 10.9 alleles per microsatellite locus. The genetic diversity observed was high wherein three distinct groups were formed containing several subgroups according to their geographic origins. Biochemical contents assay revealed significant differences in their protein and oil contents. Generally, the crude protein content was highest among India and Myanmar collections, while oil content was highest among accessions from USA and China. A negative correlation was observed between protein and oil contents, and between oleic and linolenic acids. The highest value observed for biochemical content among all germplam tested was 45.8% for crude protein, 26.7% for crude oil and 35.7% for oleic acid composition. Our study provided a better understanding of genetic relationships and geographical origin among various germplasm collections, and it could contribute to more efficient utilization of valuable genetic resources.

Citations

Citations to this article as recorded by  
  • Analyses of phytochemicals and nutritional compositions in Bambara groundnut (Vigna subterranea [L.] Verdc)
    Nomathemba Gloria Majola, Abe Shegro Gerrano, Hussein Shimelis, Jacob Mashilo
    Journal of Agriculture and Food Research.2025; 19: 101610.     CrossRef
  • An Efficient Protoplast Isolation Method Using Hypocotyl in Soybean (Glycine max)
    Jaehwan Kim, Yeong Yeop Jeong, Hyunwoo Park, Pil Joon Seo, Kyung Do Kim
    Korean Journal of Breeding Science.2025; 57(1): 1.     CrossRef
  • Genetic diversity in early maturity Chinese and European elite soybeans: A comparative analysis
    Xindong Yao, Jiang-yuan Xu, Zhang-xiong Liu, Martin Pachner, Eva Maria Molin, Leopold Rittler, Volker Hahn, Willmar Leiser, Yong-zhe Gu, Yu-qing Lu, Li-juan Qiu, Johann Vollmann
    Euphytica.2023;[Epub]     CrossRef
  • Natural Variation of Seed Tocopherol Composition in Diverse World Soybean Accessions from Maturity Group 0 to VI Grown in China
    Suprio Ghosh, Shengrui Zhang, Muhammad Azam, Berhane S. Gebregziabher, Ahmed M. Abdelghany, Abdulwahab S. Shaibu, Jie Qi, Yue Feng, Kwadwo Gyapong Agyenim-Boateng, Yitian Liu, Huoyi Feng, Yecheng Li, Jing Li, Bin Li, Junming Sun
    Plants.2022; 11(2): 206.     CrossRef
  • Physicochemical and Nutraceutical Profiles Assessment of Genotypes within Nigerian Active Breeding Cocoa Germplasm
    Daniel Adewale, Oluwayemisi Oluwatosin Adeigbe
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • Origin, Maturity Group and Seed Coat Color Influence Carotenoid and Chlorophyll Concentrations in Soybean Seeds
    Berhane Sibhatu Gebregziabher, Shengrui Zhang, Suprio Ghosh, Abdulwahab S. Shaibu, Muhammad Azam, Ahmed M. Abdelghany, Jie Qi, Kwadwo G. Agyenim-Boateng, Honey T. P. Htway, Yue Feng, Caiyou Ma, Yecheng Li, Jing Li, Bin Li, Lijuan Qiu, Junming Sun
    Plants.2022; 11(7): 848.     CrossRef
  • Evaluating nutritional content among Bambara groundnut lines
    Nokuthula Cherry Hlanga, Albert Thembinkosi Modi, Isack Mathew
    Journal of Food Composition and Analysis.2021; 102: 104053.     CrossRef
  • Profiling and associations of seed nutritional characteristics in Chinese and USA soybean cultivars
    Muhammad Azam, Shengrui Zhang, Jie Qi, Ahmed M. Abdelghany, Abdulwahab S. Shaibu, Suprio Ghosh, Yue Feng, Yuanyuan Huai, Berhane S. Gebregziabher, Jing Li, Bin Li, Junming Sun
    Journal of Food Composition and Analysis.2021; 98: 103803.     CrossRef
  • Genetic Diversity Patterns and Discrimination of 172 Korean Soybean (Glycine max (L.) Merrill) Varieties Based on SSR Analysis
    Tae-Young Hwang, Byeong Sam Gwak, Jwakyung Sung, Hong-Sig Kim
    Agriculture.2020; 10(3): 77.     CrossRef
  • Multiple-trait selection of soybean for biodiesel production in Brazil
    Leomar Guilherme Woyann, Daniela Meira, Andrei Daniel Zdziarski, Gilvani Matei, Anderson Simionato Milioli, Ana Claudia Rosa, Laura Alexandra Madella, Giovani Benin
    Industrial Crops and Products.2019; 140: 111721.     CrossRef
  • Natural Variation in Fatty Acid Composition of Diverse World Soybean Germplasms Grown in China
    Ahmed M. Abdelghany, Shengrui Zhang, Muhammad Azam, Abdulwahab S. Shaibu, Yue Feng, Jie Qi, Yanfei Li, Yu Tian, Huilong Hong, Bin Li, Junming Sun
    Agronomy.2019; 10(1): 24.     CrossRef
  • Endonuclease com incompatibilidade heteroduplex para detectar mutação e variações genéticas de inibidores da tripsina em soja
    Gordana Petrović, Zorica Nikolić, Vuk Đorđević, Vesna Župunski, Dušica Jovičić, Maja Ignjatov, Dragana Milošević
    Pesquisa Agropecuária Brasileira.2014; 49(2): 102.     CrossRef
  • Genetic Diversity and Population Structure of Korean Soybean Collection Using 75 Microsatellite Markers
    Gi-An Lee, Yu-Mi Choi, Jung-Yoon Yi, Jong-Wook Chung, Myung-Chul Lee, Kyung-Ho Ma, Sok-young Lee, Jin-Woong Cho, Jung-Ro Lee
    KOREAN JOURNAL OF CROP SCIENCE.2014; 59(4): 492.     CrossRef
  • 9 View
  • 0 Download
  • 13 Crossref
Development of 34 New Microsatellite Markers from Actinidia arguta: Intra- and Interspecies Genetic Analysis
Soon-Jae Kwon, Gi-An Lee, Yong-Bum Kwack, Ho-Sun Lee, Gyu-Taek Cho, Ho-Cheol Ko, Sok-Young Lee, Yeon-Gyu Kim, Kyung-Ho Ma
Plant Breed. Biotech. 2013;1(2):137-147.   Published online June 30, 2013
DOI: https://doi.org/10.9787/PBB.2013.1.2.137

The present study investigated the isolation and characterization of 34 polymorphic microsatellite markers developed from Actinidia arguta (Sieb. and Zucc.) Planch. ex Miq. var arguta. These markers produced 349 alleles in eight Actinidia species, with an average of 10.3 alleles per locus. Observed heterozygosity ranged from 0.50 to 0.87 (mean = 0.72), and polymorphism information content ranged from 0.37 to 0.88 (mean = 0.69). The phylogenetic relationship obtained using microsatellite markers showed minor clustering and population differences among species while 38 A. arguta accessions fell into two subgroups. These newly developed polymorphic microsatellite markers will be very useful in sustainable genetic conservation, marker-assisted breeding, and classification of the Actinidia genus.

Citations

Citations to this article as recorded by  
  • Scientific and breeding value of wild Actinidia Sect. Leiocarpae
    X.-M. Lu, J. Wang, Z.-Z. Li, Y.-C. Wang
    Acta Horticulturae.2025; (1431): 193.     CrossRef
  • Structural analysis of Actinidia arguta natural populations and preliminary application in association mapping of fruit traits
    Xue-Mei Lu, Yu-Ping Man, Rui Lei, Yongbo Liu, Jin-Hu Wu, Yan-Chang Wang
    Scientia Horticulturae.2022; 304: 111306.     CrossRef
  • Ploidy levels and genetic diversity of Actinidia arguta (Siebold & Zucc.) Planch. ex Miq., A. kolomikta (Rupr. & Maxim.) Maxim., A. callosa Lindl., and A. melanandra Franch., accessions
    Sigita Bogačiovienė, Laima Česonienė, Sezai Ercisli, Andrius Valatavičius, Baltramiejus Jakštys, Saulius Šatkauskas, Algimantas Paulauskas
    Genetic Resources and Crop Evolution.2019; 66(5): 1107.     CrossRef
  • Development and validation of polymorphic EST-SSR markers for genetic diversity analysis in Actinidia arguta
    Haiyue Sun, Jiahui Wang, Li Chen, Jian Xu, Yadong Li
    Fruits.2019; 74(1): 25.     CrossRef
  • Genetic diversity of kiwifruit (Actinidia spp.), including Korean native A. arguta, using single nucleotide polymorphisms derived from genotyping-by-sequencing
    Sewon Oh, Mockhee Lee, Keumsun Kim, Hyeondae Han, Kyungho Won, Yong-Bum Kwack, Hyunsuk Shin, Daeil Kim
    Horticulture, Environment, and Biotechnology.2019; 60(1): 105.     CrossRef
  • Development of microsatellite markers at the National Agrobiodiversity Center in Korea for the genetic assessment of underutilized crops
    Gi-An Lee, Sok-Young Lee, Ho-Sun Lee, Kyung-Ho Ma, Jae-Gyun Gwag, Yeon-Gyu Kim, Jung-Ro Lee
    Plant Genetic Resources.2014; 12(S1): S125.     CrossRef
  • 10 View
  • 0 Download
  • 6 Crossref
SSR Analysis of Genetic Diversity and Cold Tolerance in Temperate Rice Germplasm
Jung-Pil Suh, Young-Chan Cho, Jeong-Heui Lee, Sang-Bok Lee, Jae-Youn Jung, Im-Soo Choi, Myeong-Ki Kim, Chung-Kon Kim, Kshirod K. Jena
Plant Breed. Biotech. 2013;1(2):103-110.   Published online June 30, 2013
DOI: https://doi.org/10.9787/PBB.2013.1.2.103

A total of 23 elite rice cultivars from eight countries were evaluated for cold tolerance using two screening methods at Chuncheon Substation, National Institute of Crop Science (NICS), Republic of Korea. The rice cultivars Jinbu, Mustaqillik, and Avangard showed cold tolerance and high spikelet fertility (63–79%) in cold-water irrigation screening. Under greenhouse screening, five cultivars (Giza 177, Avangard, Mustaqillik, Jinbu, and Jungan) showed high cold tolerance and high spikelet fertility (71–81%). Simple sequence repeat (SSR) marker analysis of 21 genotypes revealed two major clusters, the japonica and indica groups, with a genetic similarity of 0.69. Out of 21 rice cultivars, only four (Giza 178 from Egypt, Attey and Zakha from Bhutan, and Millin from Australia) fell under the indica cluster. The cold-tolerant varieties Jinbu, Mustaqillik, and Avangard were clustered with the japonica group, which had genetic similarity of 0.83. These varieties are considered as potential germplasm that will help diversify the japonica gene pool for cold-tolerant rice breeding. A one-way linear analysis of variance identified a significant relationship between individual alleles and traits. Three SSR markers were significantly associated with spikelet fertility under cold-water irrigation on chromosomes 1, 2, and 7. Five SSR markers were associated with spikelet fertility under a cool-environment greenhouse on chromosomes 8, 9, 10, and 12. The SSR markers associated with cold tolerance may also be useful as selection markers in indica/japonica cross combinations to improve cold tolerance.

Citations

Citations to this article as recorded by  
  • Cold stress resilience in rice: genotypic variation, yield traits, and GGE biplot insights
    Tanaya Bala, Sarita Pradhan, Twinkle Jena, Sujatha Patta, Simanta Mohanty, Kamini Kaushal, Megha Kumari, Sandeep Kumar Mallik, Manoj Kumar Rout
    Scientific Reports.2025;[Epub]     CrossRef
  • Identification and evaluation of high-performing advanced germplasm of rice through morphological and breeding value analysis
    Md. Ariful Islam, Md. Moniruzzaman Hasan, Mohammad Anwar Hossain, Md. Ashraful Haque, Md. Nur Alam Siddique, Md. Shamsuddoha, Muhammad Ashraful Habib, Sumaiya Sultana Risha
    Discover Agriculture.2024;[Epub]     CrossRef
  • Mitigating cold stress in rice: a study of genotype performance and sowing time
    Yasser Z. El-Refaee, Hany S. Gharib, Shimaa A. Badawy, Eman M. Elrefaey, Samira A.F. El-Okkiah, Mohamed K. Okla, María Gabriela Maridueña-Zavala, Hamada AbdElgawad, Amira M. El-Tahan
    BMC Plant Biology.2024;[Epub]     CrossRef
  • Selection of rice breeding lines for resistance to biotic and abiotic stresses
    A. Amirova, B. Usenbekov, Kh. Berkimbay, D. Mynbayeva, S. Atabayeva, G. Baiseitova, A. Meldebekova, Zh. Zhunusbayeva, S. Kenzhebayeva, S. Mukhambetzhanov
    Brazilian Journal of Biology.2024;[Epub]     CrossRef
  • Phenotypic and Molecular Characterization of Rice Genotypes’ Tolerance to Cold Stress at the Seedling Stage
    Nasira Akter, Partha Sarathi Biswas, Md. Abu Syed, Nasrin Akter Ivy, Amnah Mohammed Alsuhaibani, Ahmed Gaber, Akbar Hossain
    Sustainability.2022; 14(9): 4871.     CrossRef
  • Screening of rice germplasms (Oryza sativa L.) for seedling stage cold tolerance utilizing morphological and molecular markers
    Brijesh Kumar Singh, Monoj Sutradhar, Chayanika Lahkar, Amit Kumar Singh, N.G. Tombisana Meetei, Nirmal Mandal
    Ecological Genetics and Genomics.2022; 24: 100128.     CrossRef
  • Genetic relationship of tropical region‐bred temperate japonica rice (Oryza sativa) plants and their grain yield variations in three different tropical environments
    Jeom‐Sig Lee, Gideon Torollo, Alexis Ndayiragije, Jean Berchmans Bizimana, Il‐Ryong Choi, Alaine Gulles, Un‐Sang Yeo, O‐Young Jeong, Shoba Venkatanagappa, Bo‐Kyeong Kim, Sang Nag Ahn
    Plant Breeding.2018; 137(6): 857.     CrossRef
  • Agro-Morphological Evaluation of Rice (Oryza sativa L.) for Seasonal Adaptation in the Sahelian Environment
    Daba Ndour, Diaga Diouf, Isaac Bimpong, Abdoulaye Sow, Ghislain Kanfany, Baboucarr Manneh
    Agronomy.2016; 6(1): 8.     CrossRef
  • Nuclear and chloroplast diversity and phenotypic distribution of rice (Oryza sativa L.) germplasm from the democratic people’s republic of Korea (DPRK; North Korea)
    HyunJung Kim, Eung Gi Jeong, Sang-Nag Ahn, Jeffrey Doyle, Namrata Singh, Anthony J Greenberg, Yong Jae Won, Susan R McCouch
    Rice.2014;[Epub]     CrossRef
  • 17 View
  • 0 Download
  • 9 Crossref
Analysis and comparison of the γ-oryzanol content based on phylogenetic groups in Korean landraces of rice (Oryza sativa L.)
Myung-Chul Lee, Dong-Jin Lee, Gi-An Lee, Hong-Jae Park, Jung-Ro Lee, Yu-Mi Choi, Su Kyeung Lee, Yeonju Jung, Yong-Gu Cho, Jae Young Song
Plant Breed. Biotech. 2013;1(1):58-69.   Published online March 31, 2013
DOI: https://doi.org/10.9787/PBB.2013.1.1.058

Brown rice contains beneficial phytonutrients such as antioxidants, anthocyanins and oryzanol, and oryzanol is one of the major components. However, the information of oryzanol contents and genetic data are limited in Korean rice landraces to use the genetic resources. This study was conducted to investigate varietal differences of the oryzanol content and analyze the genetic diversity using SSR marker about 196 Korean rice landraces. Among tested germplasm, the total γ-oryzanol values showed the high variation ranged from 9.8 to 55.9 mg 100g−1 and an average content value was 27.2 mg 100g−1. Particularly, IT007903, IT007714, IT006622 and IT006125 accessions were showed γ-oryzanol contents higher than 50mg 100g−1. The 24-methylene cycloartenyl ferulate was the most prevalent with an average value of 29.9% among the total γ-oryzanol components, and followed by cycloartenyl ferulate (26.7%). Genetic diversity among 196 landrace accessions was evaluated based on 46 SSR markers carrying total 396 alleles. The mean values of observed (HO) and expected heterozygosities (HE) were 0.009 and 0.497, respectively, indicating a considerable amount of polymorphism within this collection. A genetic distance-based phylogeny grouped into seven clusters with genetic distance (GD) value was 0.6. According to the phylogenetic analysis, roughly 7 clusters were divergent, and the γ-oryzanol content values showed statistical differences by the four groups (P<0.001). These traits of the selected accession would be helped broadening for parent materials selection to improve the γ-oryzanol content through the rice breeding.

Citations

Citations to this article as recorded by  
  • Rice grain quality and starch digestibility- desired traits for evaluating rice varieties
    Torit Baran Bagchi, Sarangadhar Nayak, Monalisha Biswal, Soumya Kumar Sahoo, Awadhesh Kumar
    Oryza-An International Journal on Rice.2021; 58(Special): 208.     CrossRef
  • Improved annotation and quantification of metabolites in rice (Oryza sativa L.) seeds using two-dimensional gas chromatography–time-of-flight mass spectrometry
    Seung-A. Baek, So Yeon Kim, Young Jin Park, Tae Jin Kim, Sun-Hyung Lim, Sang Un Park, Jae Kwang Kim
    Applied Biological Chemistry.2021;[Epub]     CrossRef
  • Characterization and quantification ofγ-oryzanol in grains of 16 Korean rice varieties
    Heon Woong Kim, Jung Bong Kim, Soo-Muk Cho, Il Kyu Cho, Qing X. Li, Hwan-Hee Jang, Sung-Hyeon Lee, Young-Min Lee, Kyung-A. Hwang
    International Journal of Food Sciences and Nutrition.2015; 66(2): 166.     CrossRef
  • 16 View
  • 0 Download
  • 3 Crossref