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"Yong-Jae Won"

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"Yong-Jae Won"

Research Articles
Optimization of Temperature Regime to Screen Cold Tolerant Rice Seedlings
Ung-Jo Hyun, Sang-Min Yeo, Sang-Bok Lee, Jeong-Heui Lee, Jong-Min Jeong, Yeaul-Kyu Seong, Dae-Ha Seo, Yong-Jae Won, Eok-Keun Ahn, Jeom Ho Lee, Jun-Cheol Mun, Cheol-Seong Jang
Plant Breed. Biotech. 2016;4(2):176-187.   Published online May 31, 2016
DOI: https://doi.org/10.9787/PBB.2016.4.2.176

Low temperature stress at the seedling stage of rice is an important factor causing the leaf discoloration, wilting and consequently leads to non-uniform crop maturation. In order to screen the cold tolerance elite lines efficiently, the five cold treatment conditions with different water and air temperature were designed and treated at seedling stage. For the evaluation of seedling tolerance, the injury was scored by visual rate and measured by Soil and Plant Analyzer Development (SPAD) meter. In the reactions of varieties for each treatment, the treatment ‘B’ condition, 12ºC mean water with 24ºC mean air, shows clear discoloration, so it’s correlation coefficient was highest (r=−0.9, P<0.0001) among the treatments. In the treatment condition for screening the cold-tolerance elite line, the cultivar, treatment and their interaction significantly affect the SPAD value. The ‘A’ treatment, 12ºC mean water with 34ºC mean air, was the best way to observe the variation between the elite lines. On the basis of the Duncan’s test for SPAD value of cultivars, Keumo (moderate tolerant), Saetbyeol (sensitive) and Seolak (tolerant) were selected as check varieties. To study its impacts at the paddy field, the changes of crop characteristics such as height, panicle length, number of tiller and heading were investigated. In later growth period, the seedling treatment impact at the paddy field leads to heading delay. Due to the low temperature stress at the seedling stage induced by 12ºC mean cold water, Japonica and Tongil group shows the heading delay 4 to 7 and 8 to 11 days respectively.

Citations

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  • Genome-wide Association Study for Cold Tolerance at Seedling Stage Using a Core Collection of Korean Rice
    Sa-Eun Park, Ngoc Ha Luong, Sang-Nag Ahn, Kyu-Chan Shim
    Journal of Agriculture & Life Science.2025; 59(2): 13.     CrossRef
  • Identification of QTLs Related to Plant Growth at Low Temperatures in the Seedling Stage of Tongil Type Rice after Transplanting
    Seong-Gyu Jang, Ji-Yoon Lee, Ju-Won Kang, Youngho Kwon, So-Myeong Lee, Sais-Beul Lee, Jun-Hyeon Cho, Dong-Soo Park, Jong-Hee Lee, Soon-Wook Kwon, Sumin Jo
    Korean Journal of Breeding Science.2024; 56(3): 225.     CrossRef
  • Haplotype analysis of Tongil-type rice varieties through sequence polymorphism analysis of cold tolerance-enhancing genes
    Youngeun Lee, Sais-Beul Lee, Ju-Won Kang, Jun-Hyeon Cho, Dong-Soo Park, Jong-Hee Lee, Dongjin Shin, Byung Jun Jin
    Journal of Plant Biotechnology.2024;[Epub]     CrossRef
  • Temporal Changes of Leaf Spectral Properties and Rapid Chlorophyll—A Fluorescence under Natural Cold Stress in Rice Seedlings
    Árpád Székely, Tímea Szalóki, Mihály Jancsó, János Pauk, Csaba Lantos
    Plants.2023; 12(13): 2415.     CrossRef
  • Efficient Cold Tolerance Evaluation of Four Species of Liliaceae Plants through Cell Death Measurement and Lethal Temperature Prediction
    Woo-Hyeong Yang, Seong-Hyeon Yong, Dong-Jin Park, Sung-Jin Ahn, Do-Hyun Kim, Kwan-Been Park, Eon-Ju Jin, Myung-Suk Choi
    Horticulturae.2023; 9(7): 751.     CrossRef
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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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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

Citations to this article as recorded by  
  • 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.

Citations

Citations to this article as recorded by  
  • Analysis of Seed Vigor and Grain Quality Traits under Accelerated Aging Treatment in japonica Rice
    Kyeongmin Kang, Seung Young Lee, Su-Kyung Ha, Gileung Lee, Jae-Ryoung Park, Mina Jin, Jung-Pil Suh, Youngjun Mo, Hyun-Sook Lee
    Korean Journal of Breeding Science.2025; 57(3): 217.     CrossRef
  • Creating of novel Wx allelic variations significantly altering Wx expression and rice eating and cooking quality
    Pei Zhao, Yuxia Liu, Zhuyun Deng, Lingtong Liu, Tengwei Yu, Gege Ge, Bingtang Chen, Tai Wang
    Journal of Plant Physiology.2024; 303: 154384.     CrossRef
  • Preponderant alleles at Hd1 and Ehd1 lead to photoperiod insensitivity in japonica rice varieties
    Liting Sun, Tianzi Lin, Dedao Jing, Bo Yu, Shengyuan Zeng, Chuang Li, Huafei Qian, Cancan Du, Qingfeng Hu, Jun Yang, Yiwen Zhou, Zhangping Wu, Hongbing Gong
    Crop Breeding and Applied Biotechnology.2023;[Epub]     CrossRef
  • Using Heading date 1 preponderant alleles from indica cultivars to breed high‐yield, high‐quality japonica rice varieties for cultivation in south China
    Yujia Leng, Yihong Gao, Long Chen, Yaolong Yang, Lichao Huang, Liping Dai, Deyong Ren, Qiankun Xu, Ya Zhang, Kimberly Ponce, Jiang Hu, Lan Shen, Guangheng Zhang, Guang Chen, Guojun Dong, Zhenyu Gao, Longbiao Guo, Guoyou Ye, Qian Qian, Li Zhu, Dali Zeng
    Plant Biotechnology Journal.2020; 18(1): 119.     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
  • 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 the pasting properties of wheat flour treated by papain digestion
    Fang‐fang Wang, Tong‐tong Liu, Qing‐fang Li, Yu‐ling An, Chu‐peng Xie, Xiaoxiao Sun, Kai Liu, Zhi‐ying Deng, Ji‐chun Tian, Jian‐sheng Chen
    Starch - Stärke.2017;[Epub]     CrossRef
  • Genome-wide association study of eating and cooking qualities in different subpopulations of rice (Oryza sativa L.)
    Feifei Xu, Jinsong Bao, Qiang He, Yong-Jin Park
    BMC Genomics.2016;[Epub]     CrossRef
  • Cup Arrangement Ranking Method for a Rapid and Small-Sample Sensory Evaluation of Cooked Rice
    Jeom-Sig Lee, Jieun Kwak, Mi-Ra Yoon, Jeong-Heui Lee, Eok-Keun Ahn, Hyang-Mee Park, Yong-Jae Won, Ji Young Shon, Jun Hwan Kim, Jung-Pil Suh, Areum-Chun, Jaebuhm Chun, Jang Hee Lee
    Korean Journal of Breeding Science.2015; 47(2): 105.     CrossRef
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