Analysis of Seed Morphological and Color Traits in Recombinant Inbred Line(RIL) Population of Maize(zea mays) using RGB based Images
2023
Kim, Y.T. | Kim, M.J. | Kim, Y.U. | Baek, J.H. | Kim, N.H. | An, E.S. | Park, J.Y. | Park, K.J. | Ryu, S.H. | Wang, S.H. | Kim, S.L.
To identify some significant phenotypic characteristics of maize(zea mays) seeds, we have obtained Red, Green, Blue(RGB) digital image data from 82 recombinant inbred lines. Based on the collected image data, their morphological and color data were analyzed, and seven significant parameters were selected, including area, perimeter, length, width, circularity, roundness, and surface texture. The extracted RGB data were converted into color hex codes to visualize the representative colors of the seeds. These visualized colors were categorized into six groups: gray, yellowish white, yellow, grayish orange, purple, and brown. The results of maize seed phenotypic analysis using the RGB digital images in this study will serve as a useful tool for constructing a database of seed phenotyping database and establishing a standardized classification system.
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