Journal article
Effect of leaf temperature on the estimation of photosynthetic and other traits of wheat leaves from hyperspectral reflectance
Journal of Experimental Botany, Vol.72(4), pp.1271-1281
2020
Abstract
A growing number of leaf traits can be estimated from hyperspectral reflectance data. These include structural and compositional traits, such as leaf mass per area (LMA) and nitrogen and chlorophyll content, but also physiological traits such a Rubisco carboxylation activity, electron transport rate, and respiration rate. Since physiological traits vary with leaf temperature, how does this impact on predictions made from reflectance measurements? We investigated this with two wheat varieties, by repeatedly measuring each leaf through a sequence of temperatures imposed by varying the air temperature in a growth room. Leaf temperatures ranging from 20 °C to 35 °C did not alter the estimated Rubisco capacity normalized to 25 °C (Vcmax25), or chlorophyll or nitrogen contents per unit leaf area. Models estimating LMA and Vcmax25/N were both slightly influenced by leaf temperature: estimated LMA increased by 0.27% °C–1 and Vcmax25/N increased by 0.46% °C–1. A model estimating Rubisco activity closely followed variation associated with leaf temperature. Reflectance spectra change with leaf temperature and therefore contain a temperature signal.
Details
- Title
- Effect of leaf temperature on the estimation of photosynthetic and other traits of wheat leaves from hyperspectral reflectance
- Authors/Creators
- H.A. Khan (Author/Creator) - Australian National UniversityY. Nakamura (Author/Creator) - Australian National UniversityR.T. Furbank (Author/Creator) - Australian National UniversityJ.R. Evans (Author/Creator) - Australian National UniversityC. Foyer (Author/Creator)
- Publication Details
- Journal of Experimental Botany, Vol.72(4), pp.1271-1281
- Publisher
- Oxford University Press
- Identifiers
- 991005541197707891
- Copyright
- © 2020 The Authors.
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
25 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.169 Remote Sensing
- 4.169.91 Vegetation Mapping
- Web Of Science research areas
- Plant Sciences
- ESI research areas
- Plant & Animal Science