Quantitative dynamics of stem water soluble carbohydrates in wheat can be monitored in the field using hyperspectral reflectance

Dreccer, M. Fernanda, Barnes, Laura R. and Meder, Roger (2014) Quantitative dynamics of stem water soluble carbohydrates in wheat can be monitored in the field using hyperspectral reflectance. Field Crops Research, 159 70-80. doi:10.1016/j.fcr.2014.01.001


Author Dreccer, M. Fernanda
Barnes, Laura R.
Meder, Roger
Title Quantitative dynamics of stem water soluble carbohydrates in wheat can be monitored in the field using hyperspectral reflectance
Journal name Field Crops Research   Check publisher's open access policy
ISSN 0378-4290
1872-6852
Publication date 2014-03-15
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.fcr.2014.01.001
Volume 159
Start page 70
End page 80
Total pages 11
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Subject 1102 Cardiovascular Medicine and Haematology
1111 Nutrition and Dietetics
Abstract The capacity of wheat to store water soluble carbohydrates (WSC) in the stem is regarded as a promising trait to buffer yield in environments with limited water availability. A high throughput, field-applicable, phenotyping technique would not only benefit agronomy/physiology applications but also help its quantification in wheat breeding programmes. The aim of this study was to evaluate if it was possible to estimate the concentration (WSCc, mgg-1) and amount (WSCa, gm-2) of stem WSC non-destructively and in situ using hyperspectral data obtained in wheat canopies, as opposed to currently available labour intensive laboratory methods. Hyperspectral reflectance data were obtained proximally at varying developmental stages from the canopy of wheat trials with a limited number of related genotypes growing under a range of management treatments, in two successive years. Data were calibrated, firstly independently for each year and then jointly, to provide a measure of stem WSC using partial least squares regression on wavelengths in the range of 350-1290nm. Pre-treated spectra (second derivative) enabled calibrations for the combined years with concentration (WSCc, mgg-1) (r2=0.90) and amount (WSCa, gm-2) (r2=0.88) of water soluble carbohydrate in the stems. In addition, from the same measurement, other canopy properties, leaf area index and canopy water content, could be simultaneously predicted. This study has shown that calibration models from canopy level data can robustly predict the dynamics of stem WSC throughout crop stages and treatments, while at the same time including variation in indices diagnostic of crop water and cover status, such as the Water Index and Enhanced Vegetation Index. Promising WSC prediction using spectral data below 1000nm needs to be investigated further, in order to harness the potential for impact using low cost silicon detectors.
Keyword Hyperspectral
Partial least square regression
Stem
Triticum aestivum
Water soluble carbohydrates
Wheat
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2015 Collection
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 18 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 16 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 11 Mar 2014, 10:19:53 EST by System User on behalf of Qld Alliance for Agriculture and Food Innovation