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"Young-Chan Cho"

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"Young-Chan Cho"

Research Articles
Development of Resistant Gene-Pyramided Japonica Rice for Multiple Biotic Stresses Using Molecular Marker-Assisted Selection
Jung-Pil Suh, Young-Chan Cho, Yong-Jae Won, Eok-Keun Ahn, Man-Kee Baek, Myeong-Ki Kim, Bo-Kyeong Kim, Kshirod K. Jena
Plant Breed. Biotech. 2015;3(4):333-345.   Published online November 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.4.333

Advances in plant molecular techniques have dramatically widened the applicability of gene identification and pyramiding valuable genes. This study was carried out to pyramid five resistance genes for biotic stress into the japonica rice cultivar using marker-assisted selection (MAS) and marker-assisted background analysis of selected progenies using SSR markers. The Pi40, Xa4, xa5, Xa21 and Bph18 genes were combined in Jinbubyeo, a Korean japonica rice variety using MAS. Gene specific co-dominant PCR-based markers were used to select for homozygous recombinant lines in a segregating population derived from a cross between the parental homozygous resistant gene introgression lines. We had successfully developed multiple gene pyramided breeding lines (GPLs) for bacterial blight, blast, and brown planthopper using MAS in rice. The GPLs exhibited high resistance against biotic stress and had around 93% of the genetic background of the recurrent parent Jinbubyeo based on SSR graphical mapping. The yield and agronomic traits of the GPLs were similar to those of the recurrent parent, indicating that there is no apparent agronomic trait penalty associated with the presence of the resistance genes. The strategy of simultaneous foreground and phenotypic selection to introduce multiple R genes is very useful to reduce the cost and the time required for the isolation of desirable recombinants with target resistance genes in rice. The GPLs could be useful to enhance effective resistance for biotic stress and produce stable grain yield in japonica rice breeding programs.

Citations

Citations to this article as recorded by  
  • Genetic Dissection of Resistance to Pseudomonas amygdali pv. tabaci in Soybean [Glycine max (L.) Merr.] by Linkage Analysis
    Seo Yoon Yang, In-Jeong Kang, Ji-Min Kim, Sungtaeg Kang, Sungwoo Lee
    The Plant Pathology Journal.2026; 42(2): 207.     CrossRef
  • Grain quality characterization of indigenous rice (Oryza sativa L.) landraces using mixed clustering and selection index approaches
    A. K. Jukanti, S. Rathod, C. N. Neeraja, S. Gopala Krishnan, D. Aleena, G. Mahesh, G. Prasanna, R. M. Sundaram
    Discover Food.2025;[Epub]     CrossRef
  • Genomic Confirmation of Resistance Genes for Blast, Bacterial Leaf Blight, Rice Tungro Spherical Virus, and Brown Planthopper in Tropically Adapted Temperate Japonica Rice Varieties
    Myrish Alvarez Pacleb, Seongkyeong Lee, Sherry Lou Hechanova, Thelma Padolina, Lenie Pautin, Jesson Del-Amen, Dong-Soo Park, Il-Ryong Choi, Sung-Ryul Kim, Dongjin Shin, Jung-Pil Suh
    Agronomy.2025; 15(11): 2585.     CrossRef
  • Superior haplotypes towards the development of blast and bacterial blight-resistant rice
    Shamshad Alam, Krishna Tesman Sundaram, Uma Maheshwar Singh, Madamshetty Srinivas Prasad, Gouri Sankar Laha, Pallavi Sinha, Vikas Kumar Singh
    Frontiers in Plant Science.2024;[Epub]     CrossRef
  • Toward Food Security in 2050: Gene Pyramiding for Climate-Smart Rice
    Isnaini Isnaini, Yudhistira Nugraha, Niranjan Baisakh, Nono Carsono
    Sustainability.2023; 15(19): 14253.     CrossRef
  • Designing rice panicle architecture via developmental regulatory genes
    Ayumi Agata, Motoyuki Ashikari, Yutaka Sato, Hidemi Kitano, Tokunori Hobo
    Breeding Science.2023; 73(1): 86.     CrossRef
  • Control of rice ratooning ability by a nucleoredoxin that inhibits histidine kinase dimerization to attenuate cytokinin signaling in axillary buds
    Yilong Yao, Denghao Xiang, Nai Wu, Yao Wang, Yu Chen, Yang Yuan, Ying Ye, Dan Hu, Chang Zheng, Yu Yan, Qingya Lv, Xiaokai Li, Guoxing Chen, Honghong Hu, Haiyan Xiong, Shaobing Peng, Lizhong Xiong
    Molecular Plant.2023; 16(12): 1911.     CrossRef
  • Drought stress in rice: morpho-physiological and molecular responses and marker-assisted breeding
    Muhammad A. Hassan, Ni Dahu, Tong Hongning, Zhu Qian, Yi Yueming, Li Yiru, Wang Shimei
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Genetic Improvement of Rice for Bacterial Blight Resistance: Present Status and Future Prospects
    R. Abdul Fiyaz, D. Shivani, K. Chaithanya, K. Mounika, M. Chiranjeevi, G.S. Laha, B.C. Viraktamath, L.V. Subba Rao, R.M. Sundaram
    Rice Science.2022; 29(2): 118.     CrossRef
  • Pyramiding of Four Broad Spectrum Bacterial Blight Resistance Genes in Cross Breeds of Basmati Rice
    Irfan Ullah, Hamid Ali, Tariq Mahmood, Mudassar Nawaz Khan, Muhammad Haris, Hussain Shah, Adil Mihoub, Aftab Jamal, Muhammad Farhan Saeed, Roberto Mancinelli, Emanuele Radicetti
    Plants.2022; 12(1): 46.     CrossRef
  • Molecular Breeding of Water-Saving and Drought-Resistant Rice for Blast and Bacterial Blight Resistance
    Anning Zhang, Yi Liu, Feiming Wang, Deyan Kong, Junguo Bi, Fenyun Zhang, Xingxing Luo, Jiahong Wang, Guolan Liu, Lijun Luo, Xinqiao Yu
    Plants.2022; 11(19): 2641.     CrossRef
  • A quantitative genomics map of rice provides genetic insights and guides breeding
    Xin Wei, Jie Qiu, Kaicheng Yong, Jiongjiong Fan, Qi Zhang, Hua Hua, Jie Liu, Qin Wang, Kenneth M. Olsen, Bin Han, Xuehui Huang
    Nature Genetics.2021; 53(2): 243.     CrossRef
  • Identification of QTL Combinations that Cause Spikelet Sterility in Rice Derived from Interspecific Crosses
    Chang-Min Lee, Jung-Pil Suh, Hyun-Su Park, Man-Kee Baek, O-Young Jeong, Song-Joong Yun, Young-Chan Cho, Suk-Man Kim
    Rice.2021;[Epub]     CrossRef
  • Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population
    Swapnil Ravindra Kulkarni, S. M. Balachandran, K. Ulaganathan, Divya Balakrishnan, A. S. Hari Prasad, G. Rekha, M. B. V. N. Kousik, S. K. Hajira, Ravindra Ramarao Kale, D. Aleena, M. Anila, E. Punniakoti, T. Dilip, K. Pranathi, M. Ayyappa Das, Mastanbee S
    3 Biotech.2021;[Epub]     CrossRef
  • Recent Advances in Rice Varietal Development for Durable Resistance to Biotic and Abiotic Stresses through Marker-Assisted Gene Pyramiding
    Md Azadul Haque, Mohd Y. Rafii, Martini Mohammad Yusoff, Nusaibah Syd Ali, Oladosu Yusuff, Debi Rani Datta, Mohammad Anisuzzaman, Mohammad Ferdous Ikbal
    Sustainability.2021; 13(19): 10806.     CrossRef
  • Effect of Resistance Genes on the Occurrence of Rice Undesirable Characters in a Wide Cross
    Chang-Min Lee, Hyun-Su Park, Man-Kee Baek, Jung-Pil Suh, O-Young Jeong, Song-Joong Yun, Suk-Man Kim
    Korean Journal of Breeding Science.2021; 53(4): 392.     CrossRef
  • Molecular mapping of QTLs for yield related traits in recombinant inbred line (RIL) population derived from the popular rice hybrid KRH-2 and their validation through SNP genotyping
    Swapnil Ravindra Kulkarni, S. M. Balachandran, K. Ulaganathan, Divya Balakrishnan, M. Praveen, A. S. Hari Prasad, R. A. Fiyaz, P. Senguttuvel, Pragya Sinha, Ravindra R. Kale, G. Rekha, M. B. V. N. Kousik, G. Harika, M. Anila, E. Punniakoti, T. Dilip, S. K
    Scientific Reports.2020;[Epub]     CrossRef
  • Impact of Marker Assisted Breeding for Bacterial Blight Resistance in Rice: A Review
    Hari Kesh, Prashant Kaushik
    Plant Pathology Journal.2020; 19(2): 151.     CrossRef
  • Characterization and application of a gall midge resistance gene (Gm6) from Oryza sativa ‘Kangwenqingzhan’
    Yang Li, Yi Mo, Zhihua Li, Meng Yang, Lihua Tang, Ling Cheng, Yongfu Qiu
    Theoretical and Applied Genetics.2020; 133(2): 579.     CrossRef
  • Marker Assisted Forward Breeding to Combine Multiple Biotic-Abiotic Stress Resistance/Tolerance in Rice
    Shilpi Dixit, Uma Maheshwar Singh, Arun Kumar Singh, Shamshad Alam, Challa Venkateshwarlu, Vishnu Varthini Nachimuthu, Shailesh Yadav, Ragavendran Abbai, Ramchander Selvaraj, M. Nagamallika Devi, Perumalla Janaki Ramayya, Jyothi Badri, T. Ram, Jhansi Laks
    Rice.2020;[Epub]     CrossRef
  • Marker-assisted selection for grain number and yield-related traits of rice (Oryza sativa L.)
    Gayatri Gouda, Manoj Kumar Gupta, Ravindra Donde, Trilochan Mohapatra, Ramakrishna Vadde, Lambodar Behera
    Physiology and Molecular Biology of Plants.2020; 26(5): 885.     CrossRef
  • Pyramiding Xa21, Bph14, and Bph15 genes into the elite restorer line Yuehui9113 increases resistance to bacterial blight and the brown planthopper in rice
    Chao He, Youlun Xiao, Jianghui Yu, Jinjiang Li, Qiucheng Meng, Xianguo Qing, Guoying Xiao
    Crop Protection.2019; 115: 31.     CrossRef
  • Breeding Hybrid Rice with Genes Resistant to Diseases and Insects Using Marker-Assisted Selection and Evaluation of Biological Assay
    Me-Sun Kim, Sothea Ouk, Kuk-Hyun Jung, Yoohan Song, Le Van Trang, Ju-Young Yang, Yong-Gu Cho
    Plant Breeding and Biotechnology.2019; 7(3): 272.     CrossRef
  • Insight into MAS: A Molecular Tool for Development of Stress Resistant and Quality of Rice through Gene Stacking
    Gitishree Das, Jayanta Kumar Patra, Kwang-Hyun Baek
    Frontiers in Plant Science.2017;[Epub]     CrossRef
  • Rational design of high-yield and superior-quality rice
    Dali Zeng, Zhixi Tian, Yuchun Rao, Guojun Dong, Yaolong Yang, Lichao Huang, Yujia Leng, Jie Xu, Chuan Sun, Guangheng Zhang, Jiang Hu, Li Zhu, Zhenyu Gao, Xingming Hu, Longbiao Guo, Guosheng Xiong, Yonghong Wang, Jiayang Li, Qian Qian
    Nature Plants.2017;[Epub]     CrossRef
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Breeding for Heat Tolerance Rice Based on Marker-Assisted Backcrosing in Vietnam
Nguyen Thi Lang, Pham Thi Thu Ha, Pham Cong Tru, Tran Bao Toan, Bui Chi Buu, Young-Chan Cho
Plant Breed. Biotech. 2015;3(3):274-281.   Published online September 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.3.274

A total of six markers RM3586 and RM160 on chromosome 3 and RM3735, RM3471, RM3687 and RM3536 on chromosome 4 were used to select promising lines in backcrossing populations for heat tolerance at flowering stage in rice. Fifty lines selected in BC3F2, BC4F1, and BC4F2 and parents were planted in 2013, and 2014 dry seasons at the CLRRI field under natural heat stress and greenhouse to evaluate heat tolerance at the reproductive period. Heat tolerance scoring under field condition was based on percentage of unfilled grains. All selected lines exhibited their homozygous alleles with two heat tolerance germplasm N22 or Dular in QTL loci. Twelve lines harboring homozygous alleles to QTL loci RM3586 on chromosome 3 and RM3735 on chromosome 4, respectively were selected and evaluated to agronomic traits and yield potential. Four lines BC4-1-10-1 from OM5930/N22//4 *OM5930, BC4-5-8 from OM5930/Dular//4*OM5930, BC4-5-9-4 from AS996/N22//4*AS996, and BC4-6-3 from AS996/Dular//4 *AS996, respectively were finally selected to would be for regional adaptable test in Central Coast of Vietnam under heat stress condition to release to rice farmers.

Citations

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  • 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
  • Breeding for Heat Tolerant Aromatic Rice Varieties and Identification of Novel QTL Regions Associated with Heat Tolerance During Reproductive Phase by QTL-Seq
    Surangkana Chimthai, Sulaiman Cheabu, Wanchana Aesomnuk, Siriphat Ruengphayak, Siwaret Arikit, Apichart Vanavichit, Chanate Malumpong
    Rice Science.2025; 32(1): 67.     CrossRef
  • Unlocking the potential of rice for thermotolerance using simple sequence repeat (SSR) marker-based assessment of genetic variability and population structure
    Ravi Teja Seelam, Venkata Ramana Rao Puram, Veronica Nallamothu, Sudhir Kumar Injeti, Vani Praveena Madhunapantula
    Genetic Resources and Crop Evolution.2025; 72(1): 947.     CrossRef
  • Short‐Term High Temperature Alters psbA Gene Expression and D1 Protein Related Photosystem II Function in Rice Seedlings
    Warunya Paethaisong, Manida Suksawat, Anyarin Jirahiranpat, Jutarop Phetcharaburanin, Sadudee Wannapat, Piyada Theerakulpisut, Anoma Dongsansuk
    Journal of Agronomy and Crop Science.2025;[Epub]     CrossRef
  • Dissecting genetic variation for agro-morphological traits of elevated temperature under CO2-temperature gradient chamber and validation of markers linked to heat tolerance of rice (Oryza sativa L.)‏ cultivars of north-eastern Himalayan Region
    Amit Kumar, Letngam Touthang, Shankar. P. Das, R. Krishnappa, Avinash Pandey, Arvind Prasad, Shiv Poojan Singh, Simardeep Kaur, C. Aochen, Veerendra Kumar Verma, N. Umakanta, A. Gangarani Devi, Harendra Verma, E. Lamalakshmi Devi, Samarendra Hazarika, Vin
    Euphytica.2024;[Epub]     CrossRef
  • Rice Heat Tolerance Breeding: A Comprehensive Review and Forward Gaze
    Ravindran Lalithambika Visakh, Sreekumar Anand, Sukumaran Nair Arya, Behera Sasmita, Uday Chand Jha, Rameswar Prasad Sah, Radha Beena
    Rice Science.2024; 31(4): 375.     CrossRef
  • Utilization of marker-assisted backcrossing to generate new gynoecious cucumber lines with genetic heritage similar to the indigenous Vietnamese cucumber
    Linh T. T. Le, Kinh L. Le
    Molecular Breeding.2024;[Epub]     CrossRef
  • Booting heat stress alters leaf photosynthesis, growth rate, phenology and yield in rice
    Natthamon Chandarak, Prasit Somjinda, Phanupong Phoncharoen, Poramate Banterng, Worasitikulya Taratima, Piyada Theerakulpisut, Anoma Dongsansuk
    Plant Stress.2023; 10: 100226.     CrossRef
  • Editorial: Multiple abiotic stresses: Molecular, physiological, and genetic responses and adaptations in cereals
    Nabin Bhusal, Pradeep Sharma, Ranjeet Ranjan Kumar, Sindhu Sareen
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Improvement of grain yield under moisture and heat stress conditions through marker-assisted pedigree breeding in rice (Oryza sativa L.)
    Darsha Manjula Withanawasam, Madhavilatha Kommana, Syamala Pulindala, Aparna Eragam, Vinodkumar N. Moode, Amarnath Kolimigundla, Ramanarao V. Puram, Sudhakar Palagiri, Ravindrareddy Balam, Lakshminarayana R. Vemireddy, Rajeev Varshney
    Crop & Pasture Science.2022; 73(4): 356.     CrossRef
  • Breeding rice for heat tolerance and climate change scenario; possibilities and way forward. A review
    Ponnuvel Senguttuvel, Veerendra Jaldhani, Nannapu Sravan Raju, Divya Balakrishnan, Pasumarthi Beulah, Vijai Pal Bhadana, Satendra Kumar Mangrauthia, Chirravuri Naga Neeraja, Desiraju Subrahmanyam, Puskur Raghuveer Rao, Arramsetty Subrahmanyam Hariprasad,
    Archives of Agronomy and Soil Science.2022; 68(1): 115.     CrossRef
  • Biotechnological Advances to Improve Abiotic Stress Tolerance in Crops
    Miguel Angel Villalobos-López, Analilia Arroyo-Becerra, Anareli Quintero-Jiménez, Gabriel Iturriaga
    International Journal of Molecular Sciences.2022; 23(19): 12053.     CrossRef
  • High Temperature Alters Leaf Lipid Membrane Composition Associated with Photochemistry of PSII and Membrane Thermostability in Rice Seedlings
    Paphitchaya Prasertthai, Warunya Paethaisong, Piyada Theerakulpisut, Anoma Dongsansuk
    Plants.2022; 11(11): 1454.     CrossRef
  • Rice Breeding in Vietnam: Retrospects, Challenges and Prospects
    Tran Dang Khanh, Vu Xuan Duong, Phi Cong Nguyen, Tran Dang Xuan, Nguyen Thanh Trung, Khuat Huu Trung, Dong Huy Gioi, Nguyen Huy Hoang, Hoang-Dung Tran, Do Minh Trung, Bui Thi Thu Huong
    Agriculture.2021; 11(5): 397.     CrossRef
  • Backcross breeding for improvement of heat tolerance at reproductive phase in Thai rice (Oryza sativaL.) varieties
    C. Malumpong, R. Buadchee, B. Thammasamisorn, P. Moung-ngam, B. Wasuri, C. Saensuk, S. Arikit, A. Vannavichit, S. Cheabu
    The Journal of Agricultural Science.2020; 158(6): 496.     CrossRef
  • Identification of a Novel Gene, Osbht, in Response to High Temperature Tolerance at Booting Stage in Rice
    Jae-Ryoung Park, Won-Tae Yang, Doh-Hoon Kim, Kyung-Min Kim
    International Journal of Molecular Sciences.2020; 21(16): 5862.     CrossRef
  • QTLian breeding for climate resilience in cereals: progress and prospects
    Mukesh Choudhary, Shabir Hussain Wani, Pardeep Kumar, Pravin K. Bagaria, Sujay Rakshit, Manish Roorkiwal, Rajeev K. Varshney
    Functional & Integrative Genomics.2019; 19(5): 685.     CrossRef
  • Effect of short-term heat exposure on physiological traits of indica rice at grain-filling stage
    Payu Pansarakham, Paweena Pongdontri, Piyada Theerakulpisut, Anoma Dongsansuk
    Acta Physiologiae Plantarum.2018;[Epub]     CrossRef
  • Introgression of heat shock protein (Hsp70 and sHsp) genes into the Malaysian elite chilli variety Kulai (Capsicum annuum L.) through the application of marker-assisted backcrossing (MAB)
    Magaji G. Usman, Mohd Y. Rafii, Mohammad Y. Martini, Oladosu A. Yusuff, Mohd R. Ismail, Gous Miah
    Cell Stress and Chaperones.2018; 23(2): 223.     CrossRef
  • Mechanisms and molecular approaches for heat tolerance in rice (Oryza sativa L.) under climate change scenario
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    Journal of Integrative Agriculture.2018; 17(4): 726.     CrossRef
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QTL Detection Associated with Eating Quality Based on Palatability Test in Japonica Rice (Oryza sativa L.)
Young-Chan Cho, Man-Ki Baek, Jung-Pil Suh, Yong-Jae Won, Jeong-Heui Lee, Jeong-Ju Kim, Hyun-Su Park, Woo-Jae Kim, Soon-Wook Kwon, Yong-Gu Cho, Bo-Kyeong Kim, Jeom-Ho Lee
Plant Breed. Biotech. 2014;2(4):342-353.   Published online December 31, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.4.342

A recombinant inbred line (RIL) population derived from the cross between Ilpumbyeo (a Japonica of high eating quality) and Moroberekan (a tropical Japonica type of low eating quality) was used for mapping QTLs associated with grain physicochemical properties and eating quality traits in rice. A total of 182 recombinant inbred lines were evaluated for two physicochemical traits, alkali digestive value and amylose content, and five traits associated with eating quality including glossiness of cooked rice determined by Toyo-taste meter, and glossiness, stickiness, hardness and overall evaluation for taste evaluation by panels. A total of 30 QTLs associated with seven traits in 10 loci on chromosomes 1, 3, 5, 6, 10, and 12 were identified. The most critical regions for eating quality were on chromosomes 3, 5 and 6 by Ilpumbyeo alleles, whereas Moroberekan contributed a total of 6 loci on chromosomes 1, 10 and 12. The QTL region on chromosome 5 contains the novel alleles for eating quality from Ilpumbyeo. MAS using DNA markers tightly linked with those QTLs will be useful for breeding Japonica cultivars with high eating quality.

Citations

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  • Study of Physicochemical Properties of Rice Grains, Association and Haplotype Analysis Using SSR Genetic Markers
    H. Babaei Raouf, A. Sabouri, M. Allahgholipour
    Russian Journal of Genetics.2022; 58(6): 671.     CrossRef
  • Mapping QTLs for rice (Oryza sativa L.) grain protein content via chromosome segment substitution lines
    L. Zhao, C.-F. Zhao, L.-H. Zhou, S. Yao, Q.-Y. Zhao, T. Chen, Z. Zhu, Y.-D. Zhang, C.-L. Wang
    Cereal Research Communications.2022; 50(4): 699.     CrossRef
  • Genetic diversity of red rice varieties originating from West Java and Banten based on SSR marker related to palatability
    Susiyanti, Nurmayulis, F R Eris, A M Kartina, Y Maryani, T Aryani
    IOP Conference Series: Earth and Environmental Science.2020; 482(1): 012037.     CrossRef
  • Saturation mapping of consistent QTLs for yield and days to flowering under drought using locally adapted landrace in rice (Oryza sativa L.)
    Ashish B. Rajurkar, C. Muthukumar, A. Bharathi, Helen Baby Thomas, R. Chandra Babu
    NJAS: Wageningen Journal of Life Sciences.2019; 88(1): 66.     CrossRef
  • Improving the Glossiness of Cooked Rice, an Important Component of Visual Rice Grain Quality
    Seul-Gi Park, Hyun-Su Park, Man-Kee Baek, Jong-Min Jeong, Young-Chan Cho, Gun-Mi Lee, Chang-Min Lee, Jung-Pil Suh, Choon-Song Kim, Suk-Man Kim
    Rice.2019;[Epub]     CrossRef
  • Development of Elite Lines with Improved Eating Quality Using RIL Population Derived from the Korean Weedy Rice, Wandoaengmi6
    Suk-Man Kim, Seul-Gi Park, Hyun-Su Park, Man-Kee Baek, Jong-Min Jeong, Young-Chan Cho, Keon-Mi Lee, Chang-Min Lee, Jung-Pil Suh, Choon-Song Kim
    Journal of the Korean Society of International Agricultue.2019; 31(4): 428.     CrossRef
  • Identification and characteristics of quantitative trait locus for grain protein content, TGP12, in rice (Oryza sativa L.)
    Takayuki Kashiwagi, Jun Munakata
    Euphytica.2018;[Epub]     CrossRef
  • Superior adaptation of aerobic rice under drought stress in Iran and validation test of linked SSR markers to major QTLs by MLM analysis across two years
    Atefeh Sabouri, Reza Afshari, Tayebeh Raiesi, Haniyeh Babaei Raouf, Elham Nasiri, Masoud Esfahani, Ali Kafi Ghasemi, Arvind Kumar
    Molecular Biology Reports.2018; 45(5): 1037.     CrossRef
  • Genetic mapping of the qGCR6 locus affecting glossiness of cooked rice
    Sheng-Shan Wang, Kai-Yi Chen, Yann-Rong Lin, Rong-Kuen Chen
    Euphytica.2017;[Epub]     CrossRef
  • QTL Mapping of Grain Quality Traits Using Introgression Lines Carrying Oryza rufipogon Chromosome Segments in Japonica Rice
    Yeo-Tae Yun, Chong-Tae Chung, Young-Ju Lee, Han-Jung Na, Jae-Chul Lee, Sun-Gye Lee, Kwang-Won Lee, Young-Hwan Yoon, Ju-Won Kang, Hyun-Sook Lee, Jong-Yeol Lee, Sang-Nag Ahn
    Rice.2016;[Epub]     CrossRef
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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

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  • 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
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QTL Mapping for Paste Viscosity Characteristics Related to Eating Quality and QTL-NIL Development in Japonica Rice (Oryza sativa L.)
Young-Chan Cho, Jung-Pil Suh, Mi-Ra Yoon, Man-Ki Baek, Yong-Jae Won, Jeong-Heui Lee, Hyun-Su Park, So-Hyeon Baek, Jeom-Ho Lee
Plant Breed. Biotech. 2013;1(4):333-346.   Published online December 31, 2013
DOI: https://doi.org/10.9787/PBB.2013.1.4.333

Eating and cooking qualities are the most important trait in japonica rice breeding program. In this study, we performed genetic analysis to identify quantitative trait loci (QTLs) related to eating quality using 182 recombinant inbred lines (RILs) derived from a cross between two japonica cultivars, ‘Ilpumbyeo’ and ‘Moroberekan’. Parameters for eating quality being investigated include alkali digestive value (ADV) and amylose content (AC) for physico-chemical properties, glossiness of cooked rice (GCR), and six paste viscosity properties, peak viscosity (PV), hot-paste viscosity (HPV), cool-paste viscosity (CPV), breakdown (BD), setback (SB), and consistency viscosity (CSV) in RILs. This study revealed 28 QTLs on chromosomes 1, 3, 4, 5, 6, 7, 8, 9, and 10. Two QTL regions on chromosomes 3 and 6 were clustered with QTLs for physico-chemical property, GCR, and paste viscosity. The QTL loci for ADV, AC, GCR, PV, HPV, CPV, BD, SB, and CSV of paste viscosity properties in wx locus on chromosome 6 are the most important region for improving the texture of cooked rice. Three QTLs for PV, BD, and SB were detected on chromosome 9. PV and BD were highly positively correlated while SB showed high negative correlation with PV and BD. The QTLs for PV, BD, and SB are important to develop high eating quality rice lines of delayed retrogradation of cooked rice. Seven QTL-NILs substituted with Ilpumbyeo genetic background in most loci except for qLB4.2 for leaf blast resistance from Moroberekan allele, are expected to improve cooking and eating quality in japonica rice.

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  • Analysis of Seed Vigor and Grain Quality Traits under Accelerated Aging Treatment in japonica Rice
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    Korean Journal of Breeding Science.2025; 57(3): 217.     CrossRef
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    Journal of Plant Physiology.2024; 303: 154384.     CrossRef
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    Korean Journal of Breeding Science.2015; 47(2): 105.     CrossRef
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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.

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