Spectral assessments of wheat plants grown in pots and containers under saline conditions.

Funct Plant Biol

Chair of Plant Nutrition, Technische Universität München, Emil-Ramann-Straße 2, D-85350 Freising-Weihenstephan, Germany.

Published: May 2013

AI Article Synopsis

  • Spectral measurements are effective for quickly assessing plant traits without harming them, but plant growth conditions (like pot vs. close-to-field) can affect results.
  • The study focused on spring wheat cultivars experiencing salt stress, finding that spectral sensing was more accurate for container-grown plants than pot-grown ones, likely due to better sensor-plant interaction.
  • Certain spectral indices (like R760:R670 and NDVI) were strongly linked to key traits (fresh weight, water content) of the plants, indicating that while spectral sensors have potential, more research is needed to fully understand their capabilities and limitations.

Article Abstract

Spectral measurements allow fast nondestructive assessment of plant traits under controlled greenhouse and close-to-field conditions. Field crop stands differ from pot-grown plants, which may affect the ability to assess stress-related traits by nondestructive high-throughput measurements. This study analysed the potential to detect salt stress-related traits of spring wheat (Triticum aestivum L.) cultivars grown in pots or in a close-to-field container platform. In two experiments, selected spectral indices assessed by active and passive spectral sensing were related to the fresh weight of the aboveground biomass, the water content of the aboveground biomass, the leaf water potential and the relative leaf water content of two cultivars with different salt tolerance. The traits were better ascertained by spectral sensing of container-grown plants compared with pot-grown plants. This may be due to a decreased match between the sensors' footprint and the plant area of the pot-grown plants, which was further characterised by enhanced senescence of lower leaves. The reflectance ratio R760 : R670, the normalised difference vegetation index and the reflectance ratio R780 : R550 spectral indices were the best indices and were significantly related to the fresh weight, the water content of the aboveground biomass and the water potential of the youngest fully developed leaf. Passive sensors delivered similar relationships to active sensors. Across all treatments, both cultivars were successfully differentiated using either destructively or nondestructively assessed parameters. Although spectral sensors provide fast and qualitatively good assessments of the traits of salt-stressed plants, further research is required to describe the potential and limitations of spectral sensing.

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http://dx.doi.org/10.1071/FP12208DOI Listing

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