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"Jun Yong Choi"

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"Jun Yong Choi"

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밀 유전자원의 단백질 특성 분석 및 글루텐 단백질 조성 평가
Analysis of Protein Properties and Gluten Protein Composition Evaluation of Wheat Genetic Resources
Myoung Hui Lee, Changhyun Choi, Kyeong-Hoon Kim, Jae-Han Son, Jinhee Park, Go Eun Lee, Jun Yong Choi, Chon-Sik Kang, Jiyoung Shon, Jong-Min Ko, Kyeong-Min Kim
Korean. J. Breed. Sci. 2022;54(4):245-259.
Published online December 1, 2022
DOI: https://doi.org/10.9787/KJBS.2022.54.4.245

Gluten proteins in wheat grains are generally considered one of the most important factors in determining dough properties and bread quality. In this study, wheat protein quality characteristics were investigated in 607 varieties collected from seven countries grown in a South Korean wheat breeding field for two years. The average protein content was 12.2±1.86%, and the sodium dodecyl sulfate-sediment volume (SDSS) was 46.9±8.39 mL. HI-LINE had the highest protein content (18.3±0.35%) and SDSS (76.7±1.98 mL), while both NE 84557 and Iksan 374 showed small deviations in protein content and SDSS. Protein content and SDSS values were higher in Ax2*+By8 and By9+Dy10 combinations at Glu-A, Glu-B1, and Glu-D1 loci of high molecular weight gluten subunit (HMW-GS) than in other combinations. However, no difference in Glu-A3 and Glu-B3 loci in LMW-GS was observed. Furthermore, in HMW-GS, the composition of Glu-D1 Dy10 and Dy12 had a greater effect on protein quality than Glu-B1 By8 and By9 when the allele of Glu-A1 had Ax2*. Significant differences were found between Dy10 and Dy12 genes of the HMW-GS Glu-D1 and between protein content and SDSS, but not among others. These results suggest that Glu-D1 is extremely important for improving protein quality in HMW-GSs. As a result of this study, HMW-GS allele selection using functional markers, protein content, and SDSS investigation are expected to enable the development of varieties with high protein quality that are stable amid various environmental changes.

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  • High-Molecular-Weight-Glutenin Subunit Allelic Composition at the GLU-A1 and GLU-D1 Loci in Domestic Wheat Cultivars: Insights from PCR-Based Markers
    Myoung Hui Lee, Changhyun Choi, Min-Ju Kim, Chon-Sik Kang, Jeong-Heui Lee, Kyeong-Min Kim
    Korean Journal of Breeding Science.2025; 57(4): 433.     CrossRef
  • Molecular and genetic basis for improving the quality of soft wheat grain
    Gulshan Huseyn Poladova, Gatiba Musa kyzy Gasanova, Sevinj Mehdi Mammedova, Shenay Guloghlan Ibrahimova
    Scientific Horizons.2024; 27(3): 53.     CrossRef
  • Assessment of Fusarium Head Blight Resistance Genes in Domestic Wheat Varieties
    Myoung Hui Lee, Changhyun Choi, Sumin Hong, Chon-Sik Kang, Mira Yoon, Ki-Chang Jang, Chul Soo Park, Kyeong-Min Kim
    Korean Journal of Breeding Science.2024; 56(3): 205.     CrossRef
  • Assessment of Allele Composition of HMW-GS Glu-B1 Locus in Domestic Wheat Cultivars Using PCR-based Markers
    Myoung Hui Lee, Kyeong-Min Kim, Myoung-Goo Choi, Chon-Sik Kang, Mira Yoon, Ki-Chang Jang, Changhyun Choi
    Korean Journal of Breeding Science.2024; 56(3): 257.     CrossRef
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RGB 컬러 이미지를 이용한 국산밀 품종 내한성 간이 평가
Assessment of Cold Tolerance Traits of Wheat Cultivars using RGB Images
Myoung Hui Lee, Jae-kyeong Baek, Kyeong-Min Kim, Kyeong-Hoon Kim, Chon-Sik Kang, Go Eun Lee, Jun Yong Choi, Jiyoung Son, Jong-Min Ko, Changhyun Choi
Korean. J. Breed. Sci. 2022;54(3):171-176.
Published online September 1, 2022
DOI: https://doi.org/10.9787/KJBS.2022.54.3.171

Low-temperature damage at the seedling stage is one of the most significant natural obstacles to wheat’s growth. In domestic wheat breeding programs, the selection of cold-tolerant varieties is crucial for the development of superior wheat varieties. Traditionally, the extent of damage caused by freezing wheat is estimated through visual observation. In this study, we compared the RGB image analysis method with conventional visual evaluation and chlorophyll content analysis methods to determine if this method could accurately quantify the cold tolerance discrimination of wheat in the field. First, single-leaf-level RGB image analysis revealed a pattern similar to dead leaf ratio and chlorophyll content in three grades of freezing injury. Next, we compared the significance of plant-level RGB image analysis. The greenness index by RGB image analysis showed a higher correlation with dead leaf ratio by visual evaluation. Finally, 40 wheat varieties were planted in the field and wheat canopy images were collected at the seedling stage after wintering. There was a high correlation between the greenness index and the visual evaluation. However, there was no correlation between dead leaf ratio and visual evaluation or greenness index as determined by RGB image analysis. These findings suggest that using RGB image analysis rather than visual evaluation can be useful in assessing freeze damage in wheat fields.

Citations

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  • Current Trends in Wheat Breeding Strategies for Developing Domestic Wheat Cultivars in Korea
    Hajeong Kang, Hyoun-Min Park, San-Gu Lee, Eun-Ha Kim, Muhammad Imran, Hanyoung Choi, Myeong-Ji Kim, Seonwoo Oh
    Korean Journal of Breeding Science.2024; 56(4): 491.     CrossRef
  • Optimization Study of RGB Image-based Apple Fruit Measurement for Digital Breeding
    Jae Il Lyu, Chaewon Lee, Seo Yeon Lee, Younguk Kim, Nyunhee Kim, Ji Seon Song, JeongHo Baek, Jung Gun Cho, Kyung-Hwan Kim
    Korean Journal of Breeding Science.2023; 55(4): 303.     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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