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.

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• Genome-Wide Characterization of the PaO Gene Family and Pyramiding Effects of Superior Haplotypes on Yield-Related Traits in Sorghum
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  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

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.

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  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