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"So-Myeong Lee"

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"So-Myeong Lee"

Research Articles

Screening and Breeding for Biofortification of Rice with Protein and High Lysine Contents
Ji-Yun Lee, Ju-Won Kang, Su-Min Jo, Young-Ho Kwon, So-Myeong Lee, Sais-Beul Lee, Dong-Jin Shin, Dong-Soo Park, Jong-Hee Lee, Jong-Min Ko, Jun-Hyeon Cho
Plant Breed. Biotech. 2021;9(3):199-212.   Published online September 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.3.199

A total of 134 domestic and foreign genetic resources were analyzed for their protein and amino acids contents in order to identify breeding lines with high lysine content to improve nutritional components of rice. The protein contents ranged between 6.7% and 14.8%, with an average of 8.7%. The Dharial mutant-derived lines had relatively high protein content with the highest amino acids content of 130.16 mg/g and the highest lysine content of 3.86 mg/g which is about 5 times higher than that of the parent. In the case of mutant-derived lines with high floury endosperm such as Goami2, Dodamssal, Milyang320 and LA1, the total amino acids content was as low as 72.61-82.0 mg/g; however, lysine content ranged high between 2.64-3.35 mg/g with lysine ratio to the total amino acids was 3.6%-4.1% which is higher than the average lysine content ratio of 3.0%. Furthermore, correlation analysis revealed a very strong positive correlation between the total amino acids and total protein contents. In contrast, lysine content showed no significant correlation neither with total amino acids nor with protein contents. The lysine content of Milyang320, which was grown in 5 regions across Korea was 0.33%, showing an increase of about 22% compared to that recorded in Nampyeong (0.27%). Therefore, these data suggest that lysine content of Milyang320 is controlled genetically and could be serve as a source in high lysine rice breeding program.

Citations

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  • Lysine Matters: Genetic and Biotechnological Innovations to Combat Protein Malnutrition
    Varinder Singh, Manjari Mishra, Sneh Lata Singla‐Pareek, Joy K. Roy, Ashwani Pareek
    Plant, Cell & Environment.2026; 49(3): 1509.     CrossRef
  • Assessing two decades of breeding for biofortified rice with zinc, iron or protein
    Gogineni S.V. Prasad, Chilukuri S. Rao, Kalambur Muralidharan, Ranganathan Sridhar, Ebrahim A. Siddiq
    Journal of Agriculture and Food Research.2025; 24: 102317.     CrossRef
  • Biofortification as a solution for addressing nutrient deficiencies and malnutrition
    Bindu Naik, Vijay Kumar, Sheikh Rizwanuddin, Sadhna Mishra, Vivek Kumar, Per Erik Joakim Saris, Naresh Khanduri, Akhilesh Kumar, Piyush Pandey, Arun Kumar Gupta, Javed Masood Khan, Sarvesh Rustagi
    Heliyon.2024; 10(9): e30595.     CrossRef
  • Analysis of volatile compounds of several rice varieties according to endosperm type using an electronic nose
    Chae-Min Han, Jong-Hee Shin, Sang-Kuk Kim, Jung-Gi Ryu
    Journal of Crop Science and Biotechnology.2023; 26(3): 359.     CrossRef
  • Rice Storage Proteins: Focus on Composition, Distribution, Genetic Improvement and Effects on Rice Quality
    Long Xinkang, Guan Chunmin, Wang Lin, Jia Liting, Fu Xiangjin, Lin Qinlu, Huang Zhengyu, Liu Chun
    Rice Science.2023; 30(3): 207.     CrossRef
  • Comparative Proteome-wide Characterization of Three Different Tissues of High-Protein Mutant and Wild Type Unravels Protein Accumulation Mechanisms in Rice Seeds
    Cheol Woo Min, Ravi Gupta, Ju-Young Jung, Randeep Rakwal, Ju-Won Kang, Jun-Hyeon Cho, Jong-Seong Jeon, Sun Tae Kim
    Journal of Agricultural and Food Chemistry.2023; 71(32): 12357.     CrossRef
  • GWAS to spot candidate genes associated with grain quality traits in diverse rice accessions of North East India
    Rahul K. Verma, S. K. Chetia, Vinay Sharma, Samindra Baishya, Himanshu Sharma, M. K. Modi
    Molecular Biology Reports.2022; 49(6): 5365.     CrossRef
  • Comparison of physicochemical properties of pollen substitute diet for honey bee (Apis mellifera)
    Hyun Jee Kim, Jinseok Hwang, Zakir Ullah, Bilal Mustafa, Hyung Wook Kwon
    Journal of Asia-Pacific Entomology.2022; 25(4): 101967.     CrossRef
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A New Approach for Glutinous Rice Breeding through Dull Genes Pyramiding
Ji-Yoon Lee, Ju-Won Kang, Su-Min Jo, Youngho Kwon, So-Myeong Lee, Dong Jin Shin, You-Chun Song, Dong Soo Park, Jong-Hee Lee, Jong-Min Ko, Jun-Hyeon Cho
Plant Breed. Biotech. 2020;8(4):405-412.   Published online December 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.4.405

Glutinous rice is a key grain quality trait occupying an important part during rice processing in most rice growing areas. In this study, a gene pyramiding approach was used to introduce two dull genes, responsible for low amylose content, for glutinous rice breeding using marker assisted selection (MAS). The genotyping results revealed that rice cultivar Milyang319 carries both dull genes on chromosome 6, derived from cv. Milky-queen (Wx-mq) and cv. LGS-soft (du12(t)), respectively. Milyang319 had a significantly low amylose content (9.0%) compared to those observed in donor parents Milky-queen (15.7%) and LGS-soft (14.5%). In addition, the amylogram analysis of Milyang319 showed a similar pattern of glutinous rice. Originally, Milyang319 had a low hardness and more stickiness compared to those recorded in cooked rice of both dull parental lines. Therefore, Milyang319 is proposed as a promising candidate rice cultivar that could be used as a new source of waxy germplasms with same physicochemical features of glutinous rice in further breeding programs.

Citations

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  • Improved Processing Quality in a tongil-type Waxy Rice Cultivar Associated with a Rare granule-bound starch synthase I Allele
    Seong-Gyu Jang, Ji-Min Kim, Ji-Yoon Lee, Jun-Hyeon Cho, Youngho Kwon, So-Myeong Lee, Jisu Choi, Ju-Won Kang, Jong-Min Jeong, Jong-Hee Lee, Dong-Soo Park, Soon-Wook Kwon, Sumin Jo
    Korean Journal of Breeding Science.2026; 58(2): 123.     CrossRef
  • Molecular insights on the origin and development of waxy genotypes in major crop plants
    Vikram S Gaur, Salej Sood, Carlos Guzmán, Kenneth M Olsen
    Briefings in Functional Genomics.2024; 23(3): 193.     CrossRef
  • Genetic control of grain appearance quality in rice
    Dongsheng Zhao, Changquan Zhang, Qianfeng Li, Qiaoquan Liu
    Biotechnology Advances.2022; 60: 108014.     CrossRef
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Rapid Communication

Development and Validation of KASP Markers for Stv-bi, a Rice Stripe Virus Resistance Gene in Rice (Oryza sativa L.)
Ju-Won Kang, Sais-Beul Lee, Ji-Yun Lee, Young-Ho Kwon, So-Myeong Lee, Nkulu Rolly Kabange, Dongjin Shin, Jin-Gyeong Cha, Dong-Soo Park, Jong-Min Ko, Jong-Hee Lee
Plant Breed. Biotech. 2020;8(2):196-201.   Published online June 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.2.196

The application of molecular markers in rice breeding facilitates the rapid screening of genotypes in early growth stages without phenotypic assessment. In the present study, we developed and validated high throughput Kompetitive Allele Specific PCR (KASP) assays for rice stripe virus (RSV) resistance genes. The newly developed RSV-KASP markers were compared with the gel-based InDel marker, Indel7. The results of the RSV-KASP assay and the Indel7 analysis were consistent. Due to their high accuracy, time saving attribute, high throughput features, and cost-effectiveness, KASP could be more suitable for RSV genotyping than other methods.

Citations

Citations to this article as recorded by  
  • Genome-Wide Characterization of the PaO Gene Family and Pyramiding Effects of Superior Haplotypes on Yield-Related Traits in Sorghum
    Jinbiao Li, Haoxiang Li, Ruochen Zhang, Yizhong Zhang, Juanying Zhao, Xiaojuan Zhang, Huiyan Wang
    Agronomy.2025; 15(11): 2493.     CrossRef
  • KASP: a high-throughput genotyping system and its applications in major crop plants for biotic and abiotic stress tolerance
    Bhawna Dipta, Salej Sood, Vikas Mangal, Vinay Bhardwaj, Ajay Kumar Thakur, Vinod Kumar, Brajesh Singh
    Molecular Biology Reports.2024;[Epub]     CrossRef
  • Pyramiding effects of favorable haplotypes of loci on major fiber yield and quality traits in Upland Cotton (Gossypium hirsutum L.)
    Yingrui Zhao, Baojun Chen, Hongge Li, Jingjing Wang, Yinhua Jia, Zhaoe Pan, Daowu Hu, Zhen Peng, Yingxiao Li, Xu Gao, Peng Zhang, Liru Wang, Jun Peng, Shoupu He, Du Xiongming
    Industrial Crops and Products.2024; 217: 118805.     CrossRef
  • KASP mapping of QTLs for yield components using a RIL population in Basmati rice (Oryza sativa L.)
    Hamza Ashfaq, Reena Rani, Naila Perveen, Allah Ditta Babar, Umer Maqsood, Muhammad Asif, Katherine A. Steele, Muhammad Arif
    Euphytica.2023;[Epub]     CrossRef
  • Comparative Analysis between the ITS TaqMan SNP Genotyping Assay and CAPS for the Rapid Molecular Identification of Zoysia japonica and Zoysia sinica, Related Hybrid Lines, and the Habitat Distribution of Each Species
    Dae-Hwa Yang, Ok-Cheol Jeong, Yu-Ryang Kim, Mi-Jeong Kang, Yang-Ji Kim, Ji-Hi Son, Seong-Seop Han, Mi-Young Park, Il-Doo Jin, In-Ja Song, Min-Ji Hong, Hyeon-Jin Sun, Hong-Gyu Kang, Hyo-Yeon Lee
    Horticultural Science and Technology.2023; 41(4): 463.     CrossRef
  • Evaluation of Major Rice Varieties for Bakanae Disease Resistance in Korea
    Sais-Beul Lee, Ju-Won Kang, Ji-Yoon Lee, Gi-Un Seong, Youngho Kwon, So-Myeong Lee, Nkulu Rolly Kabang, Jun-Hyeon Cho, Seong-Hwan Oh, Dongjin Shin, Jong-Hee Lee, Ki-Won Oh, Dong-Soo Park
    Korean Journal of Breeding Science.2023; 55(2): 103.     CrossRef
  • New Transcriptome-Based SNP Markers for Noug (Guizotia abyssinica) and Their Conversion to KASP Markers for Population Genetics Analyses
    Sewalem Tsehay, Rodomiro Ortiz, Eva Johansson, Endashaw Bekele, Kassahun Tesfaye, Cecilia Hammenhag, Mulatu Geleta
    Genes.2020; 11(11): 1373.     CrossRef
  • Validation and Selection of Functional Allele-specific Molecular Markers to Analyze High-Molecular-Weight Glutenin Subunit Composition in Wheat
    Dongjin Shin, Jin-Kyung Cha, So-Myeong Lee, Jong-Min Ko, Jong-Hee Lee
    Korean Journal of Breeding Science.2020; 52(3): 235.     CrossRef
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Research Articles
QTL Analysis for Fe and Zn Concentrations in Rice Grains Using a Doubled Haploid Population Derived from a Cross Between Rice (Oryza sativa) Cultivar 93-11 and Milyang 352
So-Myeong Lee, Ju-Won Kang, Ji-Yoon Lee, Jeonghwan Seo, Dongjin Shin, Jun-Hyeon Cho, Sumin Jo, You-Chun Song, Dong-Soo Park, Jong-Min Ko, Hee-Jong Koh, Jong-Hee Lee
Plant Breed. Biotech. 2020;8(1):69-76.   Published online March 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.1.69

Biofortification is a cost-effective method for increasing the availability of micronutrients. Rice breeding for high levels of micronutrients is one of the best approaches to solve the problem of malnutrition. In this study, we developed a doubled haploid (DH) population derived from a cross between the rice cultivars 93-11 and Milyang 352 and evaluated QTLs for grain micronutrients and grain shape. Two co-localized QTLs, qFe3-1 and qZn3-1, were identified in the interval between ah03002520 and cmb0336.5 on chromosome 3, which explained 17.6% and 10.5% of the phenotypic variation, respectively. Correlation analysis between agronomic and micronutrient traits showed positive correlations between grain Fe and Zn contents but a negative correlation between grain Fe content and length-to-width ratio. This indicated the possibility of simultaneously increasing both Fe and Zn content in rice grains for improving the micronutrient profile of rice. We selected some promising lines by recombinant selection using linked markers on chromosome 3. The co-localized QTLs qFe3-1 and qZn3-1 might be useful for the improvement of biofortified rice breeding by marker-assisted selection and gene pyramiding.

Citations

Citations to this article as recorded by  
  • Precision breeding strategy to enrich iron and zinc in rice
    Rajvir Kaur, Rupinder Kaur, Renu Khanna, Gurjeet Singh, Dinesh Kumar Saini, Amandeep, Kumari Neelam, Navjot Sidhu, Ranvir Singh Gill
    Cereal Research Communications.2026; 54(1): 657.     CrossRef
  • Genomic Insights into the Genetic Control of Iron and Zinc Content in Rice: A Meta-analysis of Key Hotspots
    Om Prakash Raigar, Gaurav Augustine, Rupinder Kaur, Nitika Sandhu
    Journal of Plant Growth Regulation.2025;[Epub]     CrossRef
  • Analysis of quantitative trait loci and candidate gene exploration associated with cold tolerance in rice (Oryza sativa L.) during the seedling stage
    Sumin Jo, Seong-Gyu Jang, Sais-Beul Lee, Ji-Yoon Lee, Jun-Hyeon Cho, Ju-Won Kang, Yeongho Kwon, So-Myeong Lee, Dong-Soo Park, Soon-Wook Kwon, Jong-Hee Lee
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Deciphering the genetic basis of agronomic, yield, and nutritional traits in rice (Oryza sativa L.) using a saturated GBS-based SNP linkage map
    Mark Ian C. Calayugan, Tapas Kumer Hore, Alvin D. Palanog, Amery Amparado, Mary Ann Inabangan-Asilo, Gaurav Joshi, Balachiranjeevi Chintavaram, B. P. Mallikarjuna Swamy
    Scientific Reports.2024;[Epub]     CrossRef
  • Rice biofortification: breeding and genomic approaches for genetic enhancement of grain zinc and iron contents
    P. Senguttuvel, Padmavathi G, Jasmine C, Sanjeeva Rao D, Neeraja CN, Jaldhani V, Beulah P, Gobinath R, Aravind Kumar J, Sai Prasad SV, Subba Rao LV, Hariprasad AS, Sruthi K, Shivani D, Sundaram RM, Mahalingam Govindaraj
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Genome-wide association study (GWAS) with high-throughput SNP chip DNA markers identified novel genetic factors for mesocotyl elongation and seedling emergence in rice (Oryza sativa L.) using multiple GAPIT models
    Nkulu Rolly Kabange, Simon Alibu, Youngho Kwon, So-Myeong Lee, Ki-Won Oh, Jong-Hee Lee
    Frontiers in Genetics.2023;[Epub]     CrossRef
  • Genetic variability, G × E interaction and stability for iron and zinc content in sorghum grains in advanced breeding lines
    R. Madhusudhana, K. Hariprasanna, C. Aruna, Gowri M. Sajjanar, N.G. Hanamaratti, S. Sameera, Vilas A. Tonapi
    Journal of Cereal Science.2023; 110: 103653.     CrossRef
  • Improvement of Selection Efficiency of Haploid Maize Seeds Using Fluorescence Imaging
    Younguk Kim, Jeong Heon Han, Jaeyoung Kim, Yeongtae Kim, Nyunhee Kim, Chaewon Lee, Seoyeoun Lee, Song Lim Kim, Moon Jong Kim, Si Hwan Ryu, Hongro Lee, Hyeonso Ji, Kyung-Hwan Kim, Jeongho Baek
    Korean Journal of Breeding Science.2022; 54(4): 276.     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
  • Transcriptional Changes in the Developing Rice Seeds Under Salt Stress Suggest Targets for Manipulating Seed Quality
    Choonseok Lee, Chong-Tae Chung, Woo-Jong Hong, Yang-Seok Lee, Jong-Hee Lee, Hee-Jong Koh, Ki-Hong Jung
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Iron Biofortification in Rice: An Update on Quantitative Trait Loci and Candidate Genes
    B. P. Mallikarjuna Swamy, Balram Marathi, Ana I. F. Ribeiro-Barros, Mark Ian C. Calayugan, Felipe Klein Ricachenevsky
    Frontiers in Plant Science.2021;[Epub]     CrossRef
  • Combined Linkage Mapping and Genome-Wide Association Study Identified QTLs Associated with Grain Shape and Weight in Rice (Oryza sativa L.)
    Ju-Won Kang, Nkulu Rolly Kabange, Zarchi Phyo, So-Yeon Park, So-Myeong Lee, Ji-Yun Lee, Dongjin Shin, Jun Hyeon Cho, Dong-Soo Park, Jong-Min Ko, Jong-Hee Lee
    Agronomy.2020; 10(10): 1532.     CrossRef
  • Identification of a Novel QTL for Chlorate Resistance in Rice (Oryza sativa L.)
    Nkulu Rolly Kabange, So-Yeon Park, Dongjin Shin, So-Myeong Lee, Su-Min Jo, Youngho Kwon, Jin-Kyung Cha, You-Chun Song, Jong-Min Ko, Jong-Hee Lee
    Agriculture.2020; 10(8): 360.     CrossRef
  • Genetic Manipulation for Improved Nutritional Quality in Rice
    Priyanka Das, Sanghamitra Adak, Arun Lahiri Majumder
    Frontiers in Genetics.2020;[Epub]     CrossRef
  • STUDY OF ALLELIC VARIATION AT GENOME WIDE SSR LOCI IN PARENTS OF MAPPING POPULATION FOR HIGH GRAIN ZINC IN RICE (Oryza sativa L.)
    Sonali Habde, S. K. Singh, Korada Mounika, Amrutlal Khaire, D. K. Singh, Prasanta Kumar Majhi
    Journal of Experimental Biology and Agricultural Sciences.2020; 8(5): 558.     CrossRef
  • QTL Analysis of Heading Date Using 93-11×Milyang352 Doubled Haploid Lines in Rice
    So-Myeong Lee, Ju-Won Kang, Jun-Hyeon Cho, Ji-Yoon Lee, Dongjin Shin, Young-Ho Kwon, Jin-Kyung Cha, Sais-Beul Lee, Jong-Min Ko, Jong-Hee Lee
    Korean Journal of Breeding Science.2020; 52(4): 332.     CrossRef
  • Genetic Analysis Reveals a Major Effect QTL Associated with High Grain Zinc Content in Rice (Oryza sativaL.)
    Shaikh J. Mohiuddin, Md. Ashraful Haque, Md. Manjurul Haque, Md. Tofazzal Islam, Partha S. Biswas
    Plant Breeding and Biotechnology.2020; 8(4): 327.     CrossRef
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Identification of Yield and Yield-Related Quantitative Trait Loci for the Field High Temperature Condition in Backcross Populations of Rice (Oryza sativa L.)
Jeonghwan Seo, So-Myeong Lee, Jae-Hyuk Han, Na-Hyun Shin, Hee-Jong Koh, Joong Hyoun Chin
Plant Breed. Biotech. 2019;7(4):415-426.   Published online December 1, 2019
DOI: https://doi.org/10.9787/PBB.2019.7.4.415

The yield related traits are controlled by multiple quantitative trait loci (QTLs) and influenced by environmental change in rice. We analyzed QTLs for 15 yield related traits using two backcross populations, derived from crosses between IR64 as recurrent parent and Koshihikari as donor parent, through two years. A total of 67 backcross inbred lines (BILs) and 40 chromosome segment substitution lines (CSSLs) were genotyped using 183 SNP markers using a high-throughput genotyping system. Some genomic gaps between markers were identified in two populations. For fifteen traits in this study, 36 major QTLs (mQTLs) for 12 traits and 16 digenic epistatic QTLs (EpQTLs) for culm length were detected in BILs. On the other hand, 17 mQTLs were detected for nine traits in CSSLs. Among them, six mQTLs for grain yield traits were collocated on chromosome 10 in both years. For spikelet fertility, six putative QTLs were detected under high temperature conditions in 2018. The QTLs identified in this study could be used for the development of rice varieties conferring inter-subspecific combinations of yield-related traits.

Citations

Citations to this article as recorded by  
  • Haplotype-based multi-locus genome-wide association study reveals genomic regions associated with reproductive stage high temperature stress tolerance in rice
    Adhip Das, Madan Pal, Adam H. Price, Sukumar Taria, Ayushman Mallick, Megha Sharma, Sudhir Kumar, Ranjith Kumar Ellur, S. Gopala Krishnan, Lekshmy Sathee, Pradeep Kumar Jain, Monika Dalal, Annamalai Anandan, Siddharth Panda, Anita Kumari, Manu Agarwal, Vi
    Plant Molecular Biology.2026;[Epub]     CrossRef
  • Decrypting molecular mechanism of heat stress tolerance in rice to tackle climate change challenges through recent approaches
    Neeraj Kumar, Seyed Mahdi Hosseiniyan Khatibi, Deepak Sharma, Faraz Azeem, Ganesh Kumar Koutu, Jauhar Ali
    Frontiers in Plant Science.2026;[Epub]     CrossRef
  • ‘Drimi9ho’, A Lodging Tolerance with Mid-late Maturing, Improved White-backed Planthopper (Sogatella furcifera) and Cultivation Stability
    Jae-Ryoung Park, Eun-Gyeong Kim, Yoon-Hee Jang, Kyung-Min Kim
    Korean Journal of Breeding Science.2025; 57(4): 493.     CrossRef
  • Climate-driven trends in rice grain appearance: a 2023–2024 comparative study using Korea field data
    Jae-Ryoung Park, Su-Kyung Ha, Hyun-Sook Lee, Gileung Lee, Seung Young Lee, Kyeong Min Kang, Jung-Pil Suh, Mina Jin, Hyun-Su Park, Chang-Min Lee, Jeonghwan Seo, Songhee Park, Keon-Mi Lee, O-Young Jeong
    Journal of Crop Science and Biotechnology.2025; 28(5): 657.     CrossRef
  • Natural variation of HTH5 from wild rice, Oryza rufipogon Griff., is involved in conferring high‐temperature tolerance at the heading stage
    Zhibin Cao, Huiwu Tang, Yaohui Cai, Bohong Zeng, Jialiang Zhao, Xiuying Tang, Ming Lu, Huimin Wang, Xuejing Zhu, Xiaofeng Wu, Linfeng Yuan, Jianlin Wan
    Plant Biotechnology Journal.2022; 20(8): 1591.     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
  • A trait specific QTL survey identifies NL44, a NERICA cultivar as a novel source for reproductive stage heat stress tolerance in rice
    K. T. Ravikiran, S. Gopala Krishnan, K. K. Vinod, Gaurav Dhawan, Priyanka Dwivedi, Pankaj Kumar, Vijay Prakash Bansal, M. Nagarajan, Prolay K. Bhowmick, Ranjith K. Ellur, Haritha Bollinedi, Madan Pal, Amitha C. R. Mithra, A. K. Singh
    Plant Physiology Reports.2020; 25(4): 664.     CrossRef
  • Genetic and Phenotypic Characterization of Rice Backcrossed Inbred Sister Lines of Saltol in Temperate Saline Reclaimed Area
    Jae-Hyuk Han, Na-Hyun Shin, Je-Hoon Moon, Changhwan Yi, Soo-Cheul Yoo, Joong Hyoun Chin
    Plant Breeding and Biotechnology.2020; 8(1): 58.     CrossRef
  • Characterization of the Common Japonica-Originated Genomic Regions in the High-Yielding Varieties Developed from Inter-Subspecific Crosses in Temperate Rice (Oryza sativa L.)
    Jeonghwan Seo, So-Myeong Lee, Jae-Hyuk Han, Na-Hyun Shin, Yoon Kyung Lee, Backki Kim, Joong Hyoun Chin, Hee-Jong Koh
    Genes.2020; 11(5): 562.     CrossRef
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