Root System Phenotying of Soil-Grown Plants via RGB and Hyperspectral Imaging

Methods Mol Biol. 2021:2264:245-268. doi: 10.1007/978-1-0716-1201-9_17.

Abstract

Phenotyping root systems provide essential information for plant breeding, particularly aiming for better abiotic stress resistance. Rhizobox systems provide a field-near growth environment for in situ imaging of root systems in soil. A protocol for RGB and hyperspectral imaging of rhizobox-grown plants is presented that enables gathering of root structural (morphology, architecture) as well as functional (water content, decomposition) information. The protocol exemplifies the setup of a root phenotyping platform combining low-cost RGB with advanced short-wave infrared hyperspectral imaging. For both types of imaging approach, the essential steps of an image analysis pipeline are provided to retrieve biological information on breeding-relevant traits from the imaging datasets.

Keywords: Hyperspectral imaging; Image processing; Rhizobox platform; Root architecture analysis; Root phenotyping.

MeSH terms

  • Color
  • Hyperspectral Imaging / methods*
  • Image Processing, Computer-Assisted / methods*
  • Phenotype*
  • Plant Development*
  • Plant Roots / growth & development
  • Plant Roots / physiology*
  • Soil / chemistry*

Substances

  • Soil