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"Un Sang Yeo"

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"Un Sang Yeo"

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저항전분 기능성 고아밀로스 벼 ‘도담쌀 (밀양261호)’
‘Dodamssal (Milyang261)’, Functional Rice as a Resistant Starch with a High Amylose Content
Jun Hyeon Cho, You Chun Song, Jong Hee Lee, Ji Yoon Lee, Young Bo Son, Seong Hwan Oh, Sang Ik Han, Chun Song Kim, Kuk Hyun Chung, Dong Soo Park, Jeom sig Lee, Un Sang Yeo, Do Yeon Kwak
Korean. J. Breed. Sci. 2019;51(4):515-522.   Published online December 1, 2019
DOI: https://doi.org/10.9787/KJBS.2019.51.4.515

‘Dodamssal’ was developed as a functional rice by means of a cross between ‘Goamibyeo’, a high amylose cultivar for noodle rice, and ‘Goami2’, a mutant cultivar derived from ‘Ilpum’ treated with N-methyl N-nitrosourea (MNU), with a high amylose content. The bulk population was displayed from F2 to F4, followed by pedigree methods from F5, where line selection was performed based on amylose mutants with an opaque endosperm. Finally, ‘Milyang261’, which has a high amylose content and high resistant starch content, was selected and named as ‘Dodamssal’ in 2013. ‘Dodamssal’ is a mid-maturing ecotype with a heading date of August 10, susceptibility to both viruses and insects, and showed a slightly high viviparous germination rate of 23.4%. The yield capacity of ‘Dodamssal’ was 529 kg/10a over a 3-year regional yield test and would be suitable for cultivation in the middle and southern plain areas of Korea. The amylose content of ‘Dodamssal’ is 42.8%, with a grain appearance of opaque endosperms. Moreover, the starch granule of ‘Dodamssal’ was a round particle shape, unlike the polygonal shape of the ordinary grain. ‘Dodamssal’ is functional variety with resistant starch and dietary fiber contents of 13.6% and 5.3%, respectively (Registration No. 5637).

Citations

Citations to this article as recorded by  
  • Rice Starch Chemistry, Functional Properties, and Industrial Applications: A Review
    Rizwan Shoukat, Marta Cappai, Luca Pilia, Giorgio Pia
    Polymers.2025; 17(1): 110.     CrossRef
  • ‘Dapum’, a Late-Maturing Rice Cultivar with Low Amylose Content in the Chungnam Plain Area, Korea
    Giwon Cho, Gyucheol Kim, Chongtae Chung, Tugsang Yun, Yoetae Yun
    Korean Journal of Breeding Science.2024; 56(4): 513.     CrossRef
  • Allelic Diversity at Protein Disulfide Isomerase Like 1-1 (PDIL1-1) Gene is Associated with Amylose Content in Japonica Rice
    Cheryl Adeva, Ju-Won Kang, Kyu-Chan Shim, Ngoc Ha Luong, Hyun-Sook Lee, Jong-Hee Lee, Sang-Nag Ahn
    Plant Breeding and Biotechnology.2023; 11(1): 56.     CrossRef
  • Development of a database to estimate dietary intake of resistant starch in Koreans
    Kyeong-A. Jang, Hyun Ah Kim, Min-Sook Kang, Haeng-Ran Kim, Yong-Ju Lee, SuJin Song
    Journal of Food Composition and Analysis.2023; 120: 105283.     CrossRef
  • Quality Characteristics of Rice-Based Ice Creams with Different Amylose Contents
    Gi-Un Seong, Ji-Yoon Kim, Jung-Soo Kim, Sae-Ul Jeong, Jun-Hyeon Cho, Ji-Yoon Lee, Sais-Beul Lee, Nkulu-Rolly Kabange, Dong-Soo Park, Kwang-Deog Moon, Ju-Won Kang
    Foods.2023; 12(7): 1518.     CrossRef
  • High-amylose and Tongil type Korean rice varieties: physical properties, cooking behaviour and starch digestibility
    Andrea Bresciani, Valentina Vaglia, Francesca Saitta, Dimitrios Fessas, Maria Cristina Casiraghi, Daniela Erba, Maria Ambrogina Pagani, Ji Yoon Lee, Ju Won Kang, Jong-Min Ko, Stefano Bocchi, Jun Hyeon Cho, Alessandra Marti
    Food Science and Biotechnology.2022; 31(6): 681.     CrossRef
  • Body Weight Development in Adult Dogs Fed a High Level Resistant Starch Diet
    Kangmin Seo, Hyun-Woo Cho, Ju Lan Chun, Kyoung Min So, Ki Hyun Kim
    Animals.2022; 12(23): 3440.     CrossRef
  • Interaction of starch branching enzyme 3 and granule-bound starch synthase 1 alleles increases amylose content and alters physico-chemical properties in japonica rice (Oryza sativa L.)
    Kyu-Chan Shim, Cheryl Adeva, Ju-Won Kang, Ngoc Ha Luong, Hyun-Sook Lee, Jun-Hyeon Cho, HyunJung Kim, Thomas H. Tai, Sang-Nag Ahn
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • ‘Shingil (Milyang317)’, Tongil-Type Variety Specialized for Rice Flour
    Ji Yoon Lee, You Chun Song, Jong Hee Lee, Su min Jo, Yeong Ho Kwon, Dong Soo Park, Jun Hyeon Cho
    Korean Journal of Breeding Science.2020; 52(4): 502.     CrossRef
  • Two Complementary Genes,SBE3andGBSS1Contribute to High Amylose Content inJaponicaCultivar Dodamssal
    Cheryl C. Adeva, Hyun-Sook Lee, Sun-Ha Kim, Yun-A Jeon, Kyu-Chan Shim, Ngoc Ha Luong, Ju-Won Kang, Chang-Soo Kim, Jun-Hyeon Cho, Sang-Nag Ahn
    Plant Breeding and Biotechnology.2020; 8(4): 354.     CrossRef
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들깨 종간 교잡( × ) 집단의 양적 형질 유전자좌 분석
Detection of QTLs in an Interspecific Cross between Perilla citriodora × P. hirtella Mapping Population
Myoung Hee Lee, Ki Won Oh, Myung Sik Kim, Sung Up Kim, Jung In Kim, Eun Young Oh, Suk Bok Pae, Un Sang Yeo, Tae-Ho Kim, Jeong Hee Lee, Chan Sik Jung, Do Yeon Kwak, Yong Chul Kim
Korean. J. Breed. Sci. 2018;50(1):13-20.   Published online March 1, 2018
DOI: https://doi.org/10.9787/KJBS.2018.50.1.13

An interspecific cross between P. citriodora and P. hirtella constitutes ideal material for a linkage map construction in genome project of Perilla. The chromosomes of the species are same with n=10 and progenies of the cross are normal in growth and seed set. The phenotype of F2 population of the cross are normally distributed and this is a proof of high affinity of the chromosomes during their sexual reproduction. Rosmarinic acid, Luteolin and Apigenin contents of F2 plants were distributed in similar range with tetraploid perilla cultivars. Luteolin and Apigenin are positively correlated with correlation coefficient of 0.762. 21 QTLs were detected in agronomic traits and Rosmarinic acid, Luteolin and Apigenin contents. Even though Luteolin and Apigenin are positively correlated, QTLs were located in different position. Purple leaf color related QTL was mapped in Chromosome 3 with LOD of 14.3, PVE of 50.4%. Three anthocyanin biosynthesis transcription factor like sequences, WD40 repeat-like superfamily protein, myb domain protein 43 and basic helix-loop-helix (bHLH) DNA-binding superfamily protein, were detected near from the QTL.

Citations

Citations to this article as recorded by  
  • Applying Multivariate Statistical Analysis for Agronomic Characteristics to Evaluate Leaf Availability in Perilla Germplasms
    Myoung Hee Lee, Eun Soo Lee, Jung In Kim, Eun Ae Yoo, Sang Woo Kim, Sung Up Kim, Eun Young Oh, Min Young Kim, Jung Eun Lee, Jung Sook Sung, Kwang Soo Cho, Chun Song Kim
    Korean Journal of Medicinal Crop Science.2023; 31(4): 222.     CrossRef
  • Development of an SNP marker set for marker-assisted backcrossing using genotyping-by-sequencing in tetraploid perilla
    Jae-Eun Oh, Ji-Eun Kim, Jangmi Kim, Myoung-Hee Lee, Keunpyo Lee, Tae-Ho Kim, Sung-Hwan Jo, Jeong-Hee Lee
    Molecular Genetics and Genomics.2023; 298(6): 1435.     CrossRef
  • Bulk segregant analysis identifies SSR markers associated with leaf- and seed-related traits in Perilla crop (Perilla frutescens L.)
    Su Eun Lim, Kyu Jin Sa, Ju Kyong Lee
    Genes & Genomics.2021; 43(4): 323.     CrossRef
  • Identification of quantitative trait loci associated with flowering time in perilla using genotyping-by-sequencing
    Yun-Joo Kang, Bo-Mi Lee, Moon Nam, Ki-Won Oh, Myoung-Hee Lee, Tae-Ho Kim, Sung-Hwan Jo, Jeong-Hee Lee
    Molecular Biology Reports.2019; 46(4): 4397.     CrossRef
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