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"Soon-Wook Kwon"

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"Soon-Wook Kwon"

Research Article

Identification and Haplotype Validation of Major QTLs for Amylopectin Fine Structure in Korean Rice Accessions
Seong-Gyu Jang, Junghyun Gong, Jinkyung Jeong, Yu-Ri Chae, Soon-Wook Kwon
Plant Breed. Biotech. 2026;14:19-31.
Published online February 24, 2026
DOI: https://doi.org/10.9787/PBB.2026.14.19

Amylopectin branch-chain length distribution is a key determinant of rice starch functionality and eating quality, yet the genetic basis underlying specific chain fractions remains incompletely understood in diverse germplasm. In this study, amylopectin fine structure was quantified in 137 accessions of the Korean Rice Core Selection (KRICE_Core) using HPAEC-PAD, and genome-wide association studies were conducted with 2.1 million high-quality SNPs under the FarmCPU model. The short-chain distribution (SCD, DP 6-12) varied from 26.85% to 37.20%, whereas the intermediate-chain distribution (ICD, DP 12-24) ranged from 52.57% to 61.04%, and the two fractions showed a strong inverse correlation. GWAS identified two major loci on chromosomes 4 and 6, with the chromosome 6 region showing exceptionally strong association signals and co-localizing with Os06g0229800 (SSIIa). Haplotype analysis of SSIIa detected five non-synonymous SNPs defining five haplotypes. Hap1 and Hap5 were associated with increased SCD and reduced ICD, whereas indica-related haplotypes (Hap2-Hap4) showed the opposite trend, indicating that SSIIa allelic variation quantitatively shifts the balance between short and intermediate chain fractions. In a panel of 113 Korean-bred cultivars, Hap1 and Hap5 together accounted for > 99% of genotypes, suggesting strong directional selection for japonica-type SSIIa alleles during Korean breeding. These findings provide robust molecular targets for designing rice varieties with tailored starch architecture and cooking qualities.

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Rapid Communication

Genetic Analysis of Gene Related Length of Leaf Hair in Korean Weedy Rice (Oryza sativa L.)
Sang-Cheol Kim, Seong-Gyu Jang, Backki Kim, Da-Eun Im, Yuting Zeng, Junghyun Gong, Soon-Wook Kwon
Plant Breed. Biotech. 2023;11(4):278-281.   Published online December 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.4.278

Hairs on the leaf are an important agronomic characteristic for rice growth and farming. The segregation ratio of pubescence in the F2 population showed that the pubescence on the leaf is controlled by a single dominant gene. Fine mapping for the gene was carried out by producing an Indel (insertion-deletion) primer based on BSA-Seq data. Results of the analysis revealed within the candidate site the presence of HL6, a published pubescence gene. By haplotype analysis of HL6 in the core-collection data, SNPs were found in HL6’s exons between the plants. These sequence variations can be useful for marker-assisted selection.

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Research Articles
Discovery of Genomic Regions and Candidate Genes for Awn Length Using QTL-seq in Rice (Oryza sativa L.)
Dongryung Lee, Hongjia Zhang, Yuting Zeng, Backki Kim, Soon-Wook Kwon
Plant Breed. Biotech. 2023;11(4):271-277.   Published online December 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.4.271

Rice domestication has led to cultivated rice with no or short awns. Discovery of novel genes associated to awn length is of paramount importance for understanding the molecular mechanisms for the transformation of wild rice long awns to awnless cultivated rice. In this study, we employed Next-Generation Sequencing based QTL-seq approach to identify genomic regions associated with awn length using mapping population derived from a cross between awnless Tun Sart and awned Sobaekmangsudo. QTL-seq analysis identified two awn length QTLs viz. qAwn-4 (12.8-20.3 Mb) and qAwn-8 (22.3-27.2 Mb) on chromosome 4 and 8, respectively. Based on the sequence comparison between the two parents, Os04g0350700 (bHLH transcription factor) was postulated to be the candidate of Awn-4 gene. Further discovery of the novel genes in qAwn-8 interval will provide insights into the genetic architecture of awn length.

Citations

Citations to this article as recorded by  
  • Genetic variability, heritability and genetic advance in Iranian local rice genotypes for yield, and some agronomic traits
    Mostafa Modarresi
    Reproduction and Breeding.2026; 6(1): 9.     CrossRef
  • QTLs associated with sex inheritance in Pistacia atlantica
    S. Kafkas
    Acta Horticulturae.2025; (1439): 425.     CrossRef
  • OsLRR-RLP2 Gene Regulates Immunity to Magnaporthe oryzae in Japonica Rice
    Hyo-Jeong Kim, Jeong Woo Jang, Thuy Pham, Van Tuyet, Ji-Hyun Kim, Chan Woo Park, Yun-Shil Gho, Eui-Jung Kim, Soon-Wook Kwon, Jong-Seong Jeon, Sun Tae Kim, Ki-Hong Jung, Yu-Jin Kim
    International Journal of Molecular Sciences.2024; 25(4): 2216.     CrossRef
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Genome-Wide Association Study of Submergence Tolerance in Rice (Oryza sativa L.)
Seong-Gyu Jang, Backki Kim, Yongchul Kim, Soon-Wook Kwon
Plant Breed. Biotech. 2023;11(1):25-33.   Published online March 1, 2023
DOI: https://doi.org/10.9787/PBB.2023.11.1.25

Submergence damage to rice was reported as one of the major problems in rainfed lowland areas where the water remains. This study assessed the submergence tolerance of core collection during the seedling stage of the rice using dry seeds. Also, genome-wide association study (GWAS) combined with principal component analysis (PCA) and kinship matrix analysis was performed to identify quantitative trait loci (QTL) for submergence tolerance. Through this GWAS analysis, nine lead SNPs were confirmed to be associated with submergence tolerance, and a linkage disequilibrium (LD) decay analysis identified the 230 kb exploratory range for the detection of QTLs and candidate genes. Nine QTL were detected, on chromosomes 3 (qSUB3), 4 (qSUB4), 6 (qSUB6-1 and qSUB6-2), 11 (qSUB11-1, qSUB11-2 and qSUB11-3), and 12 (qSUB12-1 and qSUB12-2). Two candidate genes (Os03g0679300 and Os11g0517800) in the two QTL regions associated with submergence tolerance were detected. The results of this study provide associated SNPs in candidate genes for submergence condition and strategies for developing submergence condition in breeding programs.

Citations

Citations to this article as recorded by  
  • Comprehensive Evaluation of Cold and Anaerobic Tolerance in Rice Oryza sativa L. and Screening of Multistress‐Resistant Germplasm
    Jianghui Yu, Shaoran Suo, Cheng Zheng, Ling Liu, Yunpeng Peng, Huang Zhou, Zhijun Wang, Huan Cao, Yongkang Liu, Xiwen Shi, Dingyang Yuan, Meijuan Duan
    Plant Breeding.2026; 145(3): 425.     CrossRef
  • Identification of Candidate Genes for Hypoxia Tolerance in Rice by Genome-Wide Association Analysis and Transcriptome Sequencing
    Chenghang Tang, Di Bai, Xingmeng Wang, Guohui Dou, Jiaqi Lv, Yaling Bao, Nansheng Wang, Linjun Yu, You Zhou, Jinguo Zhang, Dezhuang Meng, Jun Zhu, Yingyao Shi
    Rice.2025;[Epub]     CrossRef
  • Unraveling the genetic enigma of rice submergence tolerance: Shedding light on the role of ethylene response factor-encoding gene SUB1A-1
    Md Ibrahim Khalil, Md Mahmudul Hassan, Swadesh Chandra Samanta, Abul Kashem Chowdhury, Md Zahid Hassan, Nasar Uddin Ahmed, Uzzal Somaddar, Sharmistha Ghosal, Arif Hasan Khan Robin, Ujjal Kumar Nath, Mohammad Golam Mostofa, David J. Burritt, Chien Van Ha,
    Plant Physiology and Biochemistry.2024; 206: 108224.     CrossRef
  • Biocuration of a Transcription Factors Network Involved in Submergence Tolerance during Seed Germination and Coleoptile Elongation in Rice (Oryza sativa)
    Sushma Naithani, Bijayalaxmi Mohanty, Justin Elser, Peter D’Eustachio, Pankaj Jaiswal
    Plants.2023; 12(11): 2146.     CrossRef
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Genome-Wide Association Study of Blast Resistant in Korean Rice (Oryza sativa L.) Breed Lines
Tae-Ho Ham, Ja-Hong Lee, Seong-Gyu Jang, Muhyun Kim, Hongjia Zhang, Na-Eun Kim, Soon-Wook Kwon, Joohyun Lee
Plant Breed. Biotech. 2022;10(2):139-144.   Published online June 1, 2022
DOI: https://doi.org/10.9787/PBB.2022.10.2.139

A total of 857 rice breed lines were used to evaluate rice blast resistance. Frequency of leaf spot index was skewed to the right of the 1-9 scale in bar plot, with a score of 7 showing the highest frequency. The average spot index score of 857 breed lines was 5.33. Associations showing higher than the threshold of ‒log10(P) = 5.17 were detected as significant associations. Significantly associated single nucleotide polymorphism (SNP) markers located within ± 250 kb on the lead SNP position was designated to one QTL locus of lead SNP markers. Five association loci were detected. Two associated QTLs detected on Chr. 4 were designated as qRB4.1 and qRB422, explaining 17.8% and 14.3% of total phenotypic variations, respectively. Associated QTLs detected on Chr. 1, 11, and 12 (one each) designated as qRB1, qRB11 and qRB12 explained 44.6%, 9.09%, and 13.7% of total phenotypic variations, respectively. We compared previously reported QTLs. The location of qRB4.2 was overlapped with the previously reported QTL for blast field resistance. The location of qRB12 was also overlapped with the field resistance leaf blast. The other one, qRB4.1, was overlapped with bacterial blight resistance.

Citations

Citations to this article as recorded by  
  • Genome-Wide Association Study of Body Conformation Traits in Tashi Goats (Capra hircus)
    Rong Yang, Di Zhou, Xiaoshan Tan, Zhonghai Zhao, Yanli Lv, Xingzhou Tian, Liqun Ren, Yan Wang, Jun Li, Yongju Zhao, Jipan Zhang
    Animals.2024; 14(8): 1145.     CrossRef
  • Genome-Wide Association Study of Submergence Tolerance in Rice (Oryza sativa L.)
    Seong-Gyu Jang, Backki Kim, Yongchul Kim, Soon-Wook Kwon
    Plant Breeding and Biotechnology.2023; 11(1): 25.     CrossRef
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Evaluation of the Rsistant to Bakanae Disease in Korean Rice Landraces (Oryza sativa L.)
Soon-Wook Kwon, Na-Eun Kim, Sang, Hyeon Jin, Jeonghwan Seo, Tae-Ho Ham, Joohyun Lee
Plant Breed. Biotech. 2021;9(4):355-359.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.355

Bakanae disease is an important fungal disease caused by Gibberella fujikuroi. The outbreak of rice bakanae disease causes the most important problems for rice producing countries and affects almost all known rice cultivars. Identifying balance disease resistance in Korean Rice Landrace with diverse genetic sources is important for efficient breeding. In this study, we tried to find out useful genetic resources for bakanae resistant cultivar. The result suggested highly strong 3 varieties (‘IT010631’, ‘IT009118’ and ‘IT009221’.) to be used in breeding program. Additionally, we applied reported marker related qFfR1 bakanae disease to accessions which showed strong resistance. It is expected that these resources can be used to develop useful cultivars for each trait. Especially, accessions showed strong resistance in this study have different genotype with reported resistant resources, they would be used to find other genes related to bakanae resistance.

Citations

Citations to this article as recorded by  
  • Genome-Wide Association Study to identify Bakanae disease resistance-related QTLs carrying novel candidate genes in rice (Oryza sativa L.)
    Yuting Zeng, Fang-Yuan Cao, Ah-Rim Lee, Dongryung Lee, Backki Kim, Soon-Wook Kwon
    npj Science of Plants.2025;[Epub]     CrossRef
  • Current insights on rice (Oryza sativa L.) bakanae disease and exploration of its management strategies
    Chinnannan Karthik, Qingyao Shu
    Journal of Zhejiang University-SCIENCE B.2023; 24(9): 755.     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
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Genome-Wide Association Study for Cold Tolerance in Rice Seedlings under Cold-Water Treatment
Na-Eun Kim, Soon-Wook Kwon, Jeonghwan Seo, Tae-Ho Ham, Joohyun Lee
Plant Breed. Biotech. 2021;9(4):345-354.   Published online December 1, 2021
DOI: https://doi.org/10.9787/PBB.2021.9.4.345

Rice is a temperature-sensitive crop, its yield is severely affected by low temperature, especially cold stress at the seedling stage will delay heading. To understand the genetic basis of cold tolerance, we evaluated the cold tolerance at the seedling stage of 136 rice accessions. To evaluate cold tolerance, we treated rice seedlings with cold water irrigation for ten days and scored the cold tolerance on a 1-9 scale, based on their low-temperature response and subsequent recovery. The genome-wide association study for cold tolerance revealed seven QTLs on chromosomes 1, 3, 6, 7, 10, and 12. The genomic region of the qCWS7 on chromosome 7 overlapped with a previously reported QTL associated with cold tolerance in the germinating stage. Similarly, qCWS1-1, qCWS1-2, qCWS3, qCWS6, and qCWS10 overlapped with a previously reported QTL associated with drought-stress tolerance. Subsequent bioinformatic and haplotype analyses suggested that five candidate genes affect cold tolerance: Os01g0228600 encoding a cytosolic hydroxypyruvate reductase, Os03g0115000 encoding a cupredoxin domain containing protein, Os06g0612800 encoding a stress-associated protein (SAP) gene family, Os12g0552500 encoding a universal stress protein (USP), and Os10g0482900 encoding a thioredoxin fold domain containing protein.

Citations

Citations to this article as recorded by  
  • 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
  • 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
  • Predicting the influence of extreme temperatures on grain production in the Middle-Lower Yangtze Plains using a spatially-aware deep learning model
    Zijun Mu, Junfei Xia
    PeerJ.2024; 12: e18234.     CrossRef
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Detection of Whole-Genome Resequencing-Based QTLs Associated with Pre-Harvest Sprouting in Rice (Oryza sativa L.)
Seong-Gyu Jang, San Mar Lar, Hongjia Zhang, Ah-Rim Lee, Ja-Hong Lee, Na-Eun Kim, So-Yeon Park, Joohyun Lee, Tae-Ho Ham, Soon-Wook Kwon
Plant Breed. Biotech. 2020;8(4):396-404.   Published online December 1, 2020
DOI: https://doi.org/10.9787/PBB.2020.8.4.396

Pre-harvest sprouting (PHS) is one of the important traits that not only cause serious economic issues but also lead to reduction in grain quality and yield in rice (Oryza sativa L.). To analyze the quantitative trait loci (QTLs) for PHS tolerance, we evaluated PHS, seed dormancy (SD), and low-temperature germination (LTG) of 88 F2:3 populations and their parental lines. Genotypic analysis was performed by using 441 single nucleotide polymorphisms (SNPs) detected from re-sequencing data. Seed dormancy (SD) and low-temperature germination (LTG) were identified to exhibit a positive correlation with PHS. Under the field condition, two major QTLs for PHS, qPHS1-1FC and qPHS1-2FC were identified on chromosome 1. Under the growth chamber condition, qPHS1-1GC and qPHS1-2GC had the same regions on chromosome 1. QTLs of SD and LTG (qSD1-1, qSD1-2, qLTG1-1, and qLTG1-2) had the same regions; these results suggested that candidate QTLs demonstrate pleiotropy about PHS, SD, and LTG. The major QTLs detected in this study are hypothesized to provide an important resource for molecular breeding and gain a better understanding of the genetics of traits in rice.

Citations

Citations to this article as recorded by  
  • Integrated physiological, genetic, and environmental insights into pre-harvest sprouting in cereal for climate-resilient breeding
    Trung Quoc Nguyen, Gioi Huy Dong, Nguyen LV, Thao Duc Le, Nguyen Nguyen Chuong, Weiqiang Li, Ha Duc Chu, Cuong Ngoc Duong, Lam-Son Phan Tran
    Seed Biology.2026;[Epub]     CrossRef
  • Mapping QTLs for PHS resistance and development of a deep learning model to measure PHS rate in japonica rice
    Soojin Jun, Mi Hyun Cho, Hyoja Oh, Younguk Kim, Dong Kyung Yoon, Myeongjin Kang, Hwayoung Kim, Seon‐Hwa Bae, Song Lim Kim, Jeongho Baek, HwangWeon Jeong, Jae Il Lyu, Gang‐Seob Lee, Changsoo Kim, Hyeonso Ji
    The Plant Genome.2025;[Epub]     CrossRef
  • Whole-genome meta-analysis coupled with haplotype analysis reveal new genes and functional haplotypes conferring pre-harvest sprouting in rice
    Kelvin Dodzi Aloryi, Nnaemeka Emmanuel Okpala, Mawuli Korsi Amenyogbe, Daniel Bimpong, Benjamin Karikari, Hong Guo, Semiu Folaniyi Bello, Selorm Akaba, Akwasi Yeboah, Abdul Razak Ahmed, Patrick Maada Ngegba, Nabieu Kamara, Juliet Nkiruku Anyanwu, Danielle
    BMC Plant Biology.2025;[Epub]     CrossRef
  • QTL Analysis for Pre-Harvest Sprouting and Low-Temperature Germinability Using Recombinant Inbred Lines Derived from a Cross between ‘Chamdongjin’ and ‘Younghojinmi’
    Hyun-Su Park, Jeonghwan Seo, Heyonso Ji, Gileung Lee, Chang-Min Lee, Jae-Ryoung Park, Songhee Park, Keon-Mi Lee, Mina Jin, O-Young Jeong
    Korean Journal of Breeding Science.2024; 56(2): 79.     CrossRef
  • Discovery of Genomic Regions and Candidate Genes for Awn Length Using QTL-seq in Rice (Oryza sativa L.)
    Dongryung Lee, Hongjia Zhang, Yuting Zeng, Backki Kim, Soon-Wook Kwon
    Plant Breeding and Biotechnology.2023; 11(4): 271.     CrossRef
  • Fine-Mapping Analysis of the Genes Associated with Pre-Harvest Sprouting Tolerance in Rice (Oryza sativa L.)
    Seong-Gyu Jang, Backki Kim, Insoo Choi, Joohyun Lee, Tae-Ho Ham, Soon-Wook Kwon
    Agronomy.2023; 13(3): 818.     CrossRef
  • QTL mapping and improvement of pre-harvest sprouting resistance using japonica weedy rice
    Chang-Min Lee, Hyun-Su Park, Man-Kee Baek, O-Young Jeong, Jeonghwan Seo, Suk-Man Kim
    Frontiers in Plant Science.2023;[Epub]     CrossRef
  • Application of CRISPR/Cas9 Genome Editing System to Reduce the Pre- and Post-Harvest Yield Losses in Cereals
    Thumadath Palayullaparambil Ajeesh Krishna, Theivanayagam Maharajan, Stanislaus Antony Ceasar
    The Open Biotechnology Journal.2022;[Epub]     CrossRef
  • Seed Dormancy and Pre-Harvest Sprouting in Rice—An Updated Overview
    Soo-In Sohn, Subramani Pandian, Thamilarasan Senthil Kumar, Yedomon Ange Bovys Zoclanclounon, Pandiyan Muthuramalingam, Jayabalan Shilpha, Lakkakula Satish, Manikandan Ramesh
    International Journal of Molecular Sciences.2021; 22(21): 11804.     CrossRef
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Effect of Proton Beam Irradiation on M1 Seeds and Seedling Growth in Rice
Joohyun Lee, A-Rim Lee, Soon-Wook Kwon
Plant Breed. Biotech. 2015;3(4):384-388.   Published online November 30, 2015
DOI: https://doi.org/10.9787/PBB.2015.3.4.384

This study was carried out to evaluate effect of proton beam irradiation on M1 seed germination and seedling growth. For dosage effect, mature and healthy Supersami2 seeds were irradiated with 0, 204, 395, 502, and 700Gy. The traits for germination were not affected by dosage effect of proton beam irradiation. Germination rate evaluated at 7 days after imbibition ranged from 93.3% to 98.7%; germination vigor ranged from 59.3% to 68.7% where in the dose of 700Gy showed the lowest value of 59.3%. The average days of germination ranged from 1.36 to 1.48. The seedling growth was affected by the dosage. Withered rate (withered plants after germination) was increased as the dose increased. The withered rate of 53.9% was detected in 395Gy and no plant survived in 700Gy. In the ~400Gy treatment, the sensitivity of the traits of germination among Dianxi4, Jeogjinju, MS11(Maligaya Special 11), and Superjami2 was not different while the withered rate was different: 9.7% in MS11, 32.1% in Dianxi4, 53.9% in Superjami2, and 59.7% in Jeogjinju. Based on the germination rate and withered rate, it can be suggested that 350Gy to 450Gy is a starting point for applying proton beam irradiation to rice seed for mutation breeding.

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  • Characteristics and Research Status of Mutation Breeding Using Accelerator Beams
    Si-Yong Kang
    Korean Journal of Breeding Science.2023; 55(2): 110.     CrossRef
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    S Nurhidayah, E Firmansyah, S Rahayu
    IOP Conference Series: Earth and Environmental Science.2021; 672(1): 012011.     CrossRef
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    Gopi Potupureddi, Vishalakshi Balija, Suneel Ballichatla, Gokulan C. G., Komal Awalellu, Swathi Lekkala, Karteek Jallipalli, Gayathri M. G., Ershad Mohammad, Milton M, Srikanth Arutla, Rajender Burka, Laha Gouri Shankar, Padmakumari Ayyangari Phani, Subba
    PLOS ONE.2021; 16(10): e0258816.     CrossRef
  • Impact of Proton Beam Irradiation on the Growth and Biochemical Indexes of Barley (Hordeum vulgare L.) Seedlings Grown under Salt Stress
    Lacramioara Oprica, Marius-Nicusor Grigore, Iulia Caraciuc, Daniela Gherghel, Cosmin-Teodor Mihai, Gabriela Vochita
    Plants.2020; 9(9): 1234.     CrossRef
  • Effects of proton beam irradiation on seed germination and growth of soybean (Glycine max L. Merr.)
    Juhyun Im, Woon Ji Kim, Sang Hun Kim, Bo-Keun Ha
    Journal of the Korean Physical Society.2017; 71(11): 752.     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.

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    H. Babaei Raouf, A. Sabouri, M. Allahgholipour
    Russian Journal of Genetics.2022; 58(6): 671.     CrossRef
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    Cereal Research Communications.2022; 50(4): 699.     CrossRef
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    IOP Conference Series: Earth and Environmental Science.2020; 482(1): 012037.     CrossRef
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    NJAS: Wageningen Journal of Life Sciences.2019; 88(1): 66.     CrossRef
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    Journal of the Korean Society of International Agricultue.2019; 31(4): 428.     CrossRef
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    Euphytica.2018;[Epub]     CrossRef
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    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
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    Rice.2016;[Epub]     CrossRef
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