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Data for: Dissecting the genetic architecture of leaf morphology traits in mungbean (Vigna radiata (L.) Wizcek) using genome‐wide association study

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DataCite Commons2025-05-01 更新2025-04-09 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.xsj3tx9k5
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资源简介:
Mungbean (Vigna radiata (L) Wizcek) is an important pulse crop, increasingly used as a source of protein, fiber, low fat, carbohydrates, minerals, and bioactive compounds in human diets. Mungbean is a dicot plant with trifoliate leaves. Leaves are central to various plant processes like photosynthesis, light interception, and overall canopy structure. The objectives were to study leaf morphological traits, use image analysis to extract leaf traits from images from the Iowa Mungbean Diversity (IMD) panel, develop a regression model for the prediction of leaflet area, and conduct association mapping for leaf morphological traits. We collected more than 5000 leaf images of the IMD panel consisting of 484 accessions over two years (2020 and 2021) with two replications per experiment. Leaf traits were extracted using image analysis, analyzed, and used for association mapping. Morphological diversity included leaflet type (oval or lobed), leaflet size (small, medium, large), lobed angle (shallow, deep), and vein coloration (green, purple). A regression model was developed to predict each ovate leaflet's area (adjusted R2 = 0.97; residual standard errors of <= 1.10). The candidate genes Vradi01g07560, Vradi05g01240, Vradi02g05730, and Vradi03g00440, are associated with multiple traits (length, width, perimeter, and area) across the leaflets (left, terminal, and right). These are suitable candidate genes for further investigation in their role in leaf development, growth, and function. Future studies will be needed to correlate the observed traits discussed here with yield or important agronomic traits for use as phenotypic or genotypic markers in marker-aided selection methods for mungbean crop improvement.
提供机构:
Dryad
创建时间:
2023-02-03
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