SeedExtractor: An Open-Source GUI for Seed Image Analysis

Feiyu Zhu, Puneet Paul, Waseem Hussain, Kyle Wallman, Balpreet K. Dhatt, Jaspreet Sandhu, Larissa Irvin, Gota Morota, Hongfeng Yu, Harkamal Walia

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Accurate measurement of seed size parameters is essential for both breeding efforts aimed at enhancing yields and basic research focused on discovering genetic components that regulate seed size. To address this need, we have developed an open-source graphical user interface (GUI) software, SeedExtractor that determines seed size and shape (including area, perimeter, length, width, circularity, and centroid), and seed color with capability to process a large number of images in a time-efficient manner. In this context, our application takes ∼2 s for analyzing an image, i.e., significantly less compared to the other tools. As this software is open-source, it can be modified by users to serve more specific needs. The adaptability of SeedExtractor was demonstrated by analyzing scanned seeds from multiple crops. We further validated the utility of this application by analyzing mature-rice seeds from 231 accessions in Rice Diversity Panel 1. The derived seed-size traits, such as seed length, width, were used for genome-wide association analysis. We identified known loci for regulating seed length (GS3) and width (qSW5/GW5) in rice, which demonstrates the accuracy of this application to extract seed phenotypes and accelerate trait discovery. In summary, we present a publicly available application that can be used to determine key yield-related traits in crops.

Original languageEnglish (US)
Article number581546
JournalFrontiers in Plant Science
Volume11
DOIs
StatePublished - Feb 1 2021
Externally publishedYes

Keywords

  • GWAS
  • genome wide analysis
  • image analysis
  • rice
  • seed color
  • seed size

ASJC Scopus subject areas

  • Plant Science

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