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"Eating quality"

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"Eating quality"

Research Articles
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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Modification of Starch Composition Using RNAi Targeting Soluble Starch Synthase I in Japonica Rice
Hye Jung Lee, Moo-Geun Jee, Joonki Kim, Franz M.C. Nogoy, Marjohn C. Niño, Dal-A Yu, Me Sun Kim, Mingmao Sun, Kwon-Kyoo Kang, Illsup Nou, Yong-Gu Cho
Plant Breed. Biotech. 2014;2(3):301-312.   Published online September 30, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.3.301

An increasing preference for good eating quality of rice among consumers has become one of the important considerations in rice breeding. Amylose content is a leading factor affecting eating quality of rice. Amylose composition is determined by the relative activity of soluble starch synthase (SSS) and granule-bound starch synthase (GBSS). This study focused on modifying the expression of SSSI gene which is responsible for amylopectin and amylose synthesis in rice by using RNA interference (RNAi) technology. The transgenic rice plants showed various amylose contents (11–17%) in rice grains. Favorable rice lines were selected according to genomic PCR, transgene expression and amylose contents analysis. A semi-quantitative RT-PCR was carried out to determine the expression level of SSSI gene after flowering of transgenic rice and wild type. Down-regulation of SSSI gene in transgenic plants was evident in the decreasing expression in rice grains. Accordingly, scanning electron microscopy (SEM) analysis revealed uniform size with smooth curves starch granules in down-regulation rice lines, in contrast with the non-uniform granules in wild type. Results indicated that RNAi-SSSI transgenic lines produced low amylose contents that fell between glutinous and non-glutinous rice. This study showed that down-regulation of endogenous SSSI may improve the eating quality in rice.

Citations

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  • Biochemical markers for low glycemic index and approaches to alter starch digestibility in rice
    Awadhesh Kumar, Upasana Sahoo, Milan Kumar Lal, Rahul Kumar Tiwari, Sangram Keshari Lenka, Nihar Ranjan Singh, Om Prakash Gupta, Rameswar Prasad Sah, Srigopal Sharma
    Journal of Cereal Science.2022; 106: 103501.     CrossRef
  • Soluble Starch Synthase Enzymes in Cereals: An Updated Review
    Ahsan Irshad, Huijun Guo, Shoaib Ur Rehman, Xueqing Wang, Chaojie Wang, Ali Raza, Chunyun Zhou, Yuting Li, Luxiang Liu
    Agronomy.2021; 11(10): 1983.     CrossRef
  • SSIIIa-RNAi suppression associated changes in rice grain quality and starch biosynthesis metabolism in response to high temperature
    Qian Zhao, Yu Ye, Zhanyu Han, Lujian Zhou, Xianyue Guan, Gang Pan, Muhammad-Asad-Ullah Asad, Fangmin Cheng
    Plant Science.2020; 294: 110443.     CrossRef
  • Physico-chemical characterization and transcriptome analysis of 5-methyltryptophan resistant lines in rice
    Franz Marielle Nogoy, Yu Jin Jung, Kwon-Kyoo Kang, Yong-Gu Cho, Wujun Ma
    PLOS ONE.2019; 14(9): e0222262.     CrossRef
  • Characterization of ‘GolSam’ Lines Developed from the Cross between Samgwang and 5MT Resistant Lines in Rice
    Franz Marielle Nogoy, Yu Jin Jung, Kwon Kyoo Kang, Yong-Gu Cho
    Plant Breeding and Biotechnology.2018; 6(3): 233.     CrossRef
  • Crop resistant starch and genetic improvement: a review of recent advances
    Jian Xia, Dong Zhu, Ruomei Wang, Yue Cui, Yueming Yan
    Theoretical and Applied Genetics.2018; 131(12): 2495.     CrossRef
  • Application of ZFN for Site Directed Mutagenesis of Rice SSIVa Gene
    Yu-Jin Jung, Franz Marielle Nogoy, Sang-Kyu Lee, Yong-Gu Cho, Kwon-Kyoo Kang
    Biotechnology and Bioprocess Engineering.2018; 23(1): 108.     CrossRef
  • Potential impact of genome editing in world agriculture
    Wendy Harwood, Jorge Martínez-Fortún, Dylan W. Phillips, Huw D. Jones
    Emerging Topics in Life Sciences.2017; 1(2): 117.     CrossRef
  • Overexpression of BrCIPK1 Gene Enhances Abiotic Stress Tolerance by Increasing Proline Biosynthesis in Rice
    Sailila E. Abdula, Hye-Jung Lee, Hojin Ryu, Kwon Kyoo Kang, Illsup Nou, Mark E. Sorrells, Yong-Gu Cho
    Plant Molecular Biology Reporter.2016; 34(2): 501.     CrossRef
  • BrUGE1 transgenic rice showed improved growth performance with enhanced drought tolerance
    Sailila E. Abdula, Hye Jung Lee, Joonki Kim, Marjohn C. Niño, Yu-Jin Jung, Young-Chan Cho, Illsup Nou, Kwon-Kyoo Kang, Yong-Gu Cho
    Breeding Science.2016; 66(2): 226.     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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  • 9 Crossref