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Title: Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat

Improving photosynthesis to raise wheat yield potential has emerged as a major target for wheat physiologists. Photosynthesis-related traits, such as nitrogen per unit leaf area (N area) and leaf dry mass per area (LMA), require laborious, destructive, laboratory-based methods, while physiological traits underpinning photosynthetic capacity, such as maximum Rubisco activity normalized to 25 °C (V cmax25) and electron transport rate (J), require time-consuming gas exchange measurements. The aim of this study was to assess whether hyperspectral reflectance (350–2500 nm) can be used to rapidly estimate these traits on intact wheat leaves. Predictive models were constructed using gas exchange and hyperspectral reflectance data from 76 genotypes grown in glasshouses with different nitrogen levels and/or in the field under yield potential conditions. Models were developed using half of the observed data with the remainder used for validation, yielding correlation coefficients (R 2 values) of 0.62 for V cmax25, 0.7 for J, 0.81 for SPAD, 0.89 for LMA, and 0.93 for N area, with bias <0.7%. The models were tested on elite lines and landraces that had not been used to create the models. The bias varied between -2.3% and -5.5% while relative error of prediction was similar for SPAD but slightly greatermore » for LMA and N area.« less
Authors:
ORCiD logo [1] ; ORCiD logo [2] ; ORCiD logo [3] ;  [1] ; ORCiD logo [2] ; ORCiD logo [1] ; ORCiD logo [4]
  1. CSIRO Agriculture, Canberra, ACT (Australia); Australian National Univ., Canberra, ACT (Australia). ARC Centre of Excellence for Translational Photosynthesis. Research School of Biology
  2. International Maize and Wheat Improvement Centre (CIMMYT), Mexico City (Mexico)
  3. Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental and Climate Sciences Dept.
  4. Australian National Univ., Canberra, ACT (Australia). ARC Centre of Excellence for Translational Photosynthesis. Research School of Biology
Publication Date:
Report Number(s):
BNL-114530-2017-JAAM
Journal ID: ISSN 0022-0957
Grant/Contract Number:
SC0012704; 207607; CE140100015; CSP00168
Type:
Accepted Manuscript
Journal Name:
Journal of Experimental Botany
Additional Journal Information:
Journal Volume: 69; Journal Issue: 3; Journal ID: ISSN 0022-0957
Publisher:
Oxford University Press
Research Org:
Brookhaven National Lab. (BNL), Upton, NY (United States); International Maize and Wheat Improvement Centre (CIMMYT), Mexico City (Mexico); CSIRO Agriculture, Canberra, ACT (Australia); Australian National Univ., Canberra, ACT (Australia)
Sponsoring Org:
USDOE; Secretariat of Agriculture, Livestock, Rural Development, Fisheries and Food (SAGARPA) (Mexico); National Council of Science and Technology (CONACYT) (Mexico); Australian Research Council (ARC); Grains Research & Development Corporation (Australia)
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; electron transport rate; hyperspectral reflectance; leaf dry mass per area; leaf nitrogen; partial least squares; photosynthesis; Rubisco; Triticum aestivum; velocity of carboxylation
OSTI Identifier:
1439796

Silva-Perez, Viridiana, Molero, Gemma, Serbin, Shawn P., Condon, Anthony G., Reynolds, Matthew P., Furbank, Robert T., and Evans, John R.. Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat. United States: N. p., Web. doi:10.1093/jxb/erx421.
Silva-Perez, Viridiana, Molero, Gemma, Serbin, Shawn P., Condon, Anthony G., Reynolds, Matthew P., Furbank, Robert T., & Evans, John R.. Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat. United States. doi:10.1093/jxb/erx421.
Silva-Perez, Viridiana, Molero, Gemma, Serbin, Shawn P., Condon, Anthony G., Reynolds, Matthew P., Furbank, Robert T., and Evans, John R.. 2017. "Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat". United States. doi:10.1093/jxb/erx421. https://www.osti.gov/servlets/purl/1439796.
@article{osti_1439796,
title = {Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat},
author = {Silva-Perez, Viridiana and Molero, Gemma and Serbin, Shawn P. and Condon, Anthony G. and Reynolds, Matthew P. and Furbank, Robert T. and Evans, John R.},
abstractNote = {Improving photosynthesis to raise wheat yield potential has emerged as a major target for wheat physiologists. Photosynthesis-related traits, such as nitrogen per unit leaf area (Narea) and leaf dry mass per area (LMA), require laborious, destructive, laboratory-based methods, while physiological traits underpinning photosynthetic capacity, such as maximum Rubisco activity normalized to 25 °C (Vcmax25) and electron transport rate (J), require time-consuming gas exchange measurements. The aim of this study was to assess whether hyperspectral reflectance (350–2500 nm) can be used to rapidly estimate these traits on intact wheat leaves. Predictive models were constructed using gas exchange and hyperspectral reflectance data from 76 genotypes grown in glasshouses with different nitrogen levels and/or in the field under yield potential conditions. Models were developed using half of the observed data with the remainder used for validation, yielding correlation coefficients (R2 values) of 0.62 for Vcmax25, 0.7 for J, 0.81 for SPAD, 0.89 for LMA, and 0.93 for Narea, with bias <0.7%. The models were tested on elite lines and landraces that had not been used to create the models. The bias varied between -2.3% and -5.5% while relative error of prediction was similar for SPAD but slightly greater for LMA and Narea.},
doi = {10.1093/jxb/erx421},
journal = {Journal of Experimental Botany},
number = 3,
volume = 69,
place = {United States},
year = {2017},
month = {12}
}