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Korean. J. Breed. Sci. : Korean Journal of Breeding Science

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"Younguk Kim"

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"Younguk Kim"

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디지털육종을 위한 RGB 이미지 기반 사과 과실 형태 측정 최적화 연구
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. J. Breed. Sci. 2023;55(4):303-310.
Published online December 1, 2023
DOI: https://doi.org/10.9787/KJBS.2023.55.4.303

The use of digital cameras in plant phenotyping studies using RGB sensors has increased. However, the need for standardization has become apparent because of the diverse analytical approaches used by individual researchers. In this study, we optimized the image acquisition conditions for apples, including scaling tool positioning, lighting conditions, and background color selection. In addition, we developed an ImageJ-based automated image acquisition and analysis program. We generated 240 images of four apple cultivars (Hongan, Hongro, Fuji, and Hwangok) and used 12 image indices to analyze the fruit size, width, length, and shape. We measured the accuracy by comparing the results with actual measurements. Significantly high correlation values were observed between fruit width and the major index (R2=0.947-0.993) as well as between fruit length and the height index (R2=0.964-0.984) based on the analysis using R-squared values to assess accuracy. These findings are expected to enhance the efficiency of apple fruit sorting in the future and can be applied to investigate the shapes of other fruits.

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형광영상을 이용한 옥수수 반수체 종자 선발 효율성 향상
Improvement of Selection Efficiency of Haploid Maize Seeds Using Fluorescence Imaging
Younguk Kim, Jeong Heon Han, Jaeyoung Kim, Yeongtae Kim, Nyunhee Kim, Chaewon Lee, Seoyeoun Lee, Song Lim Kim, Moon Jong Kim, Si Hwan Ryu, Hongro Lee, Hyeonso Ji, Kyung-Hwan Kim, Jeongho Baek
Korean. J. Breed. Sci. 2022;54(4):276-284.
Published online December 1, 2022
DOI: https://doi.org/10.9787/KJBS.2022.54.4.276

Many studies concerning breeding maize varieties are in progress in Korea and other countries. Double haploid technology is widely used for the development of commercial maize varieties worldwide, and has also been utilized in Korea since its introduction by the Maize Research Institute, Gangwondo. We performed a study to improve the efficiency of selecting haploid maize seeds using fluorescence imaging. It was verified that anthocyanin produced by the expression of R1-nj gene can be detected by fluorescence imaging, and we developed a high-throughput method for discriminating between haploid and diploid seeds. Compared with discriminating with naked eye, this method reduced the time for discriminating haploid and diploid maize by 91.7% and increased selection accuracy by 16.8% for haploid and 2.2% for diploid maize. This method enabled the acquisition of more haploid seeds and improved the efficiency of breeding research by shortening the time involved.

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