First pod height (FPH) is an agronomic trait for the mechanical harvesting of soybeans with combines. The seed loss could be minimized, if the FPH is higher than the height of the cutter bar in combines. Hence, developing soybeans with high FPH has become one of important breeding goals in current crop improvement programs. The
objective
of this study was to evaluate genetic and environmental variation of FPH in soybean and to analyze the effect of ratio of FPH to plant height (PH) on seed yield. Four genotypes were evaluated across six different environments to analyze environmental variation of agronomic traits including FPH. Three F₂ populations were evaluated to analyze genetic variation and relationship between the ratio of FPH to PH and seed yield. The main effects of planting distance, genotype and seeding date were significant for FPH, but FPH is affected more by genetic factors than by environmental factors. The mean heritability value of FPH was 66% across three F₂ populations. Seed yield was found to reduce with increase in the FPH/PH ratio. In conclusion, genetic factors have effect more than environments to the variation of FPH. While FPH is higher than cutting height, the smaller ratio can minimize seed yield decrease.

Citations

Citations to this article as recorded by  

• Machine learning for unmanned aerial vehicles-based soybean phenotyping: limits of cross-environment transfer and opportunities to reduce field measurements1
  João Amaro Ferreira Vieira Netto, Hernandes Peres Panichi, Paulo Eduardo Teodoro, Leonardo Lopes Bhering
  Pesquisa Agropecuária Tropical.2026;[Epub]     CrossRef
• Soybean (Glycine max(L.) Merrill) germplasm characterization on plant architecture and yield traits for potential mechanical harvest
  Iddi Tabdeen, Shirley Lamptey, Benjamin Karikari
  Discover Plants.2025;[Epub]     CrossRef
• The impact of planting density on yield and nutritional value of Glycine max (L.) Merr. under outdoor hydroponics in Armenia
  A. Tadevosyan, A. Matevosyan, A. Tovmasyan, A. Asatryan, A. Gasparyan, S. Mairapetyan
  Acta Horticulturae.2025; (1416): 513.     CrossRef
• EVALUATION OF CHICKPEA (Cicer arietinum L.) GENOTYPES FOR GENETIC VARIABILITY AND MECHANIZATION POTENTIAL UNDER GANGETIC PLAINS
  A.P. Singh, S Majumdar, G.V. Kumar, W Emam, Y Tashkandy, Md. Hedayetullah, H.L. Singh, P.K. Singh, S Ray, F Homa, A Matuka, R Sadhukhan
  The Journal of Animal and Plant Sciences.2025; (1): 221.     CrossRef
• Breeding Black Soybeans for High Yield and First Pod Height Is a Promising Approach to Improving Thai Commercial Soybean Varieties
  Jariya Chinnarat, Tidarat Monkham, Jirawat Sanitchon, Sompong Chankaew
  Agronomy.2025; 15(3): 600.     CrossRef
• Insights into the Roles of Gibberellin and Cytokinin Levels in Regulating Elongation of Basal Internodes and Lowest Pod Height in Soybean
  Ankita Thapar, Pham Anh Tuan, Amarjot Kaur, Deepak Sharma, Belay T. Ayele
  Journal of Plant Growth Regulation.2025; 44(9): 5575.     CrossRef
• ‘Ganghan,’ A High-Yielding and Mechanization-Compatible Soybean Cultivar with Lodging and Pod Shattering Resistance
  Namgeol Kim, Seuk-Ki Lee, Yo-han Yoo, Inhye Lee, Kwang-soo Cho, Min-Jung Seo, BeomKyu Kang, JeongHyun Seo, JunHoi Kim, SuVin Heo, Jinsil Choi, Hyeon Tae Cho
  Korean Journal of Breeding Science.2025; 57(3): 315.     CrossRef
• Wpływ zróżnicowanej rozstawy rzędów i ilości wysiewu na rozwój i plonowanie soi (Glycine max (L.) Merrill). Cz. I. Rozwój i cechy morfologiczne soi
  Małgorzata Gniadzik-Zasańska, Marcin Kozak, Anna Wondołowska-Grabowska
  Agronomy Science.2024; 79(1): 41.     CrossRef
• Maximising soybean productivity with late maturity groups in Mediterranean irrigated systems
  Genís Simon-Miquel, Moritz Reckling, Daniel Plaza-Bonilla
  Field Crops Research.2024; 307: 109274.     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
• Insights into management and physiological determinants of lowest pod height in soybean
  Piebiep Goufo, Robert W. Kluver, Aníbal Cerrudo, Seth L. Naeve
  Agronomy Journal.2024; 116(6): 3191.     CrossRef
• Common Bean Plant Size and Yield in Response to Rates of Foliar-Applied Paclobutrazol, Mepiquat Chloride, and Prohexadione Calcium
  Luan Santos de Oliveira, Rogério Peres Soratto, Paulo Araquém Ramos Cairo, Leandro Dias da Silva, Sylvana Naomi Matsumoto, Ricardo de Andrade Silva
  Journal of Plant Growth Regulation.2023; 42(6): 3543.     CrossRef
• Field Performance of Some Soybean [Glycine max (L.) Merr.] Cultivars Sown on Different Dates
  M. Necat IZGI
  Türkiye Tarımsal Araştırmalar Dergisi.2023; 10(1): 27.     CrossRef
• Height to first pod: A review of genetic and breeding approaches to improve combine harvesting in legume crops
  Marzhan Kuzbakova, Gulmira Khassanova, Irina Oshergina, Evgeniy Ten, Satyvaldy Jatayev, Raushan Yerzhebayeva, Kulpash Bulatova, Sholpan Khalbayeva, Carly Schramm, Peter Anderson, Crystal Sweetman, Colin L. D. Jenkins, Kathleen L. Soole, Yuri Shavrukov
  Frontiers in Plant Science.2022;[Epub]     CrossRef
• Precrops and N-fertilizer impacts on soybean performance in tropical regions of Brazil
  Anderson Hideo Yokoyama , Claudemir Zucareli , Antonio Eduardo Coelho, Marco Antonio Nogueira , Julio Cezar Franchini , Henrique Debiasi, Alvadi Antonio Balbinot Junior
  Acta Scientiarum. Agronomy.2022; 44: e54650.     CrossRef
• Water productivity of soybeans under regulated surface and subsurface drip irrigation conditions
  Koksal Aydinsakir, Nazmi Dinc, Dursun Buyuktas, Mehmet Kocaturk, Cevdet Fehmi Ozkan, Cihan Karaca
  Irrigation Science.2021; 39(6): 773.     CrossRef
• Farklı Ekim Zamanlarının Soya Fasulyesi Çeşitlerinde Bazı Tarımsal Özellikler Üzerine Etkileri
  Melih OKCU
  Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi.2020;[Epub]     CrossRef
• A model for the yield losses estimation in an early soybean (Glycine max (L.) Merr.) cultivar depending on the cutting height at harvest
  K. Rębilas, A. Klimek-Kopyra, M. Bacior, T. Zając
  Field Crops Research.2020; 254: 107846.     CrossRef
• Genotype and Sowing Time Effects on Soybean Yield and Quality
  Violeta Mandić, Snežana Đorđević, Nikola Đorđević, Zorica Bijelić, Vesna Krnjaja, Maja Petričević, Milan Brankov
  Agriculture.2020; 10(11): 502.     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
• Westward expansion of soybean: adaptability of maturity group 00 genotypes to row spacing and seeding density under irrigation in southern Alberta
  Tram T.N. Thai, Francis J. Larney, James E. Thomas, Manjula S. Bandara, Doon G. Pauly, Brian Beres
  Canadian Journal of Plant Science.2019; 99(5): 715.     CrossRef
• Correlations and Path Coefficients for Yield Related Traits in Soybean Progenies
  Thi Thuy Hang Vu, Thi Tuyet Cham Le, Dinh Hoa Vu, Thanh Tuan Nguyen, Thi Ngoc
  Asian Journal of Crop Science.2019; 11(2): 32.     CrossRef
• Identification of Major QTLs Associated With First Pod Height and Candidate Gene Mining in Soybean
  Hongwei Jiang, Yingying Li, Hongtao Qin, Yongliang Li, Huidong Qi, Candong Li, Nannan Wang, Ruichao Li, Yuanyuan Zhao, Shiyu Huang, Jingyao Yu, Xinyu Wang, Rongsheng Zhu, Chunyan Liu, Zhenbang Hu, Zhaoming Qi, Dawei Xin, Xiaoxia Wu, Qingshan Chen
  Frontiers in Plant Science.2018;[Epub]     CrossRef
• ADAPTATION ABILITIES AND QUALITY PARAMETERS OF SELECTED SOYBEAN LINES UNDER DOUBLE CROPPING IN THE MEDITERRANEAN REGION
  Emre ILKER, Mehmet KOCATURK, Abdullah KADIROGLU, Aliye YILDIRIM, Gulsum OZTURK, Hakan YILDIZ, İbrahim KOKEN
  Turkish Journal Of Field Crops.2018; 23(1): 49.     CrossRef

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.

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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
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  Korean Journal of Breeding Science.2018; 50(4): 396.     CrossRef
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  Food Science & Nutrition.2018; 6(8): 2423.     CrossRef
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  Korean Journal of Breeding Science.2018; 50(1): 50.     CrossRef
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  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
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  Korean Journal of Breeding Science.2018; 50(4): 478.     CrossRef
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  Korean Journal of Breeding Science.2018; 50(3): 307.     CrossRef
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  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
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  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
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  Journal of Applied Biological Chemistry.2016; 59(3): 261.     CrossRef
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  Crop Science.2016; 56(4): 1857.     CrossRef
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  PLOS ONE.2016; 11(7): e0159865.     CrossRef
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  Molecular Breeding.2016;[Epub]     CrossRef