High-throughput scoring of seed germination

Wilco Ligterink*, Henk W.M. Hilhorst

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

5 Citations (Scopus)

Abstract

High-throughput analysis of seed germination for phenotyping large genetic populations or mutant collections is very labor intensive and would highly benefit from an automated setup. Although very often used, the total germination percentage after a nominated period of time is not very informative as it lacks information about start, rate, and uniformity of germination, which are highly indicative of such traits as dormancy, stress tolerance, and seed longevity. The calculation of cumulative germination curves requires information about germination percentage at various time points. We developed the GERMINATOR package: a simple, highly cost-efficient, and flexible procedure for high-throughput automatic scoring and evaluation of germination that can be implemented without the use of complex robotics. The GERMINATOR package contains three modules: (I) design of experimental setup with various options to replicate and randomize samples; (II) automatic scoring of germination based on the color contrast between the protruding radicle and seed coat on a single image; and (III) curve fitting of cumulative germination data and the extraction, recap, and visualization of the various germination parameters. GERMINATOR is a freely available package that allows the monitoring and analysis of several thousands of germination tests, several times a day by a single person.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
EditorsJürgen Kleine-Vehn, Michael Sauer
PublisherHumana Press Inc.
Pages57-72
Volume1497
ISBN (Electronic)9781493964697
ISBN (Print)9781493964673
DOIs
Publication statusPublished - 2017

Publication series

NameMethods in Molecular Biology
Volume1497
ISSN (Print)1064-3745

Keywords

  • Arabidopsis thaliana
  • Automatic scoring
  • Curve-fitting
  • Germination
  • High-throughput analysis
  • Image analysis

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