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NAPPN Annual Conference Abstract: Combining Image Analysis and GWAS to Dissect the Genetic Architecture of Mung Bean Leaf Morphology Traits
  • +3
  • Kevin Chiteri,
  • Shivani Chiranjeevi,
  • Talukder Zaki Jubery,
  • Ashlyn Rairdin,
  • Baskar Ganapathysubramanian,
  • Arti Singh
Kevin Chiteri
Department of Agronomy, Iowa State University

Corresponding Author:chiterikevin@gmail.com

Author Profile
Shivani Chiranjeevi
Department of Mechanical Engineering, Iowa State University
Talukder Zaki Jubery
Department of Mechanical Engineering, Iowa State University
Ashlyn Rairdin
Department of Agronomy, Iowa State University
Baskar Ganapathysubramanian
Department of Mechanical Engineering, Iowa State University
Arti Singh
Department of Agronomy, Iowa State University

Abstract

Mung bean (Vigna radiata (L.) Wilczek) is an important crop providing protein, fiber, carbohydrates, and minerals in Southeast Asia and Africa. Trifoliate leaves in mung beans are central to several plant processes like photosynthesis, light interception, early disease & pest warning signals, and overall canopy architecture. We sampled more than 5000 leaf images of the Iowa Mung bean diversity panel (IMDP) during the 2020 and 2021 growing seasons in a Randomized Complete Block Design. We recorded the phenotypic diversity, developed a regression model for the oval leaflet type, and conducted GWAS for the image extracted traits. The diversity in the morphology included leaflet type (oval or lobed), leaflet size (small, medium, large), lobed angle (shallow, deep), and vein coloration (green, purple). A universal regression model LA = b0 + b1L + b2W + b3L*W was the best at predicting the area of each ovate leaflet with an adjusted R2 of 0.97. 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) and would be suitable candidates 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 mung bean crop improvement.
04 Oct 2022Submitted to NAPPN 2023 Abstracts
04 Oct 2022Published in NAPPN 2023 Abstracts