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Australian Plant Phenomics Facility

The University of Adelaide Australia

Spectral Pheno Climatron

  • Pricing and availability - Please contact Alyssa Weirman or on +61 2 6125 8319.
  • Booking - To request a booking please fill in our web formĀ here.

The SpectralPhenoClimatron is a high throughput system that enables visual growth phenotyping of up to 320 plants per chamber in 7 climate chambers with multi-spectral LED lighting and dynamic environmental conditions. SolarCalc software controls light intensity and color, temperature and humidity at 1-minute intervals.

This allows the creation of dynamic growth conditions with diurnal and seasonal cycles from any location. Images are taken at 5-20 min. intervals and processed into Sunset in the growth chamberquantitative measures of plant color, size, and growth rate. Quantified developmental phenotypes are tested for genetic association through our GWAS pipeline to yield the genetic loci by which plants sense the environment to control growth.

To generalize and integrate next generation genomics with high throughput phenomics, the High Resolution Plant Phenomics Centre are developing an open-source software pipeline called ‘TraitCapture’.

TraitCapture is a “seeds to traits” pipeline which allows users to track seed/genotype selection, set growth conditions, and analyze phenotypic variation for heritable components through to mapping causative loci via GWAS and QTL analysis.

Web-based visualization tools will allow real-time graphing of environment data with associated plant growth in time-lapse. Cloud-enabled GWAS on plant growth variation can be performed during an experiment allowing for real time capturing of heritable traits and trait loci across environments. This feedback allows a user to tune the environments, phenotyping protocols and image analysis to improve QTL detection.

When QTL are identified, a user can resort plants based on alternative genotype classes to look for pleiotropic effects on growth, development, and physiology. Finally, published results should include links to the datasets and analysis protocols. This will allow new and previously cryptic traits to be identified. Importantly, standardized seed sets, growth protocols, phenotyping and analysis tools, will allow replication of experiments between different labs.

A brief list of experiments enabled by TraitCapture includes:

  • Iterative QTL identification and tests of pleiotropy.
  • Heritability of potential spectral indices using hyperspectral cameras.
  • Spatial and temporal distribution of fluorescent pigments under environmental stress.
  • Light and temperature interactions on transpiration using Infrared (IR) cameras.
  • Genetic basis of photosynthetic activity and efficiency using chlorophyll fluorescence cameras.
  • Integration of 2.5D and 3D quantification of plant growth with stereo imaging.