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rosettR: protocol and software for seedling area and growth analysis.

Filipa Tomé1,2,3, Karel Jansseune1, Bernadette Saey1

  • 1Bayer CropScience NV, Technologiepark 38, 9052 Ghent, Belgium.

Plant Methods
|March 24, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces rosettR, a new R package for high-throughput plant phenotyping. It enables accurate, non-destructive measurement of seedling rosette area and growth rates, simplifying complex analyses.

Keywords:
GrowthImage analysisLeaf areaPhenotypingR

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Area of Science:

  • Plant biology
  • Genetics
  • Computational biology

Background:

  • Plant growth analysis is crucial for understanding treatment and mutation impacts.
  • Traditional methods for leaf area and growth rate estimation from images are labor-intensive and require programming expertise.

Purpose of the Study:

  • To present rosettR, a non-destructive, high-throughput phenotyping protocol for measuring seedling rosette area.
  • To provide an R package simplifying experiment design, image analysis, and statistical evaluation for plant growth studies.

Main Methods:

  • Developed rosettR as an R package for automated plant phenotyping.
  • Protocol involves growing seedlings in plates under sterile conditions for image-based rosette area measurement.

Main Results:

  • rosettR accurately detects growth differences in various genotypes and under different light and osmotic stress conditions.
  • The package facilitates easy experiment design, image analysis, and generation of quality control and comparison reports.

Conclusions:

  • rosettR enables straightforward, accurate, and reproducible high-throughput measurements of rosette area and relative growth rate.
  • Ideal for screening mutant populations and profiling genotypes under diverse treatments, using affordable equipment.