Detection of the metabolic response to drought stress using hyperspectral reflectance. (3rd June 2021)

• Record Type: Journal Article
• Authors: Burnett, Angela C; Serbin, Shawn P; Davidson, Kenneth J; Ely, Kim S; Rogers, Alistair
• Editors: Gleadow, Ros
• Is Part Of: Journal of experimental botany. Volume 72:Number 18(2021)
• Page Start: 6474
• Page End: 6489
• Publication Date: 2021-06-03
• Subjects: Abscisic acid (ABA) -- climate change -- crop breeding and management -- drought stress -- leaf reflectance -- metabolites -- remote sensing -- stress responses -- water deficit -- water stress; Botany -- Periodicals; Botany, Experimental -- Periodicals; Plant physiology -- Periodicals; 580
• DOI: 10.1093/jxb/erab255
• Languages: English
• ISSNs: 0022-0957

Abstract

Abstract : Drought stress responses, including a drought signalling plant hormone, can be measured using light reflected from leaves before drought is visible to the naked eye. Abstract: Drought is the most important limitation on crop yield. Understanding and detecting drought stress in crops is vital for improving water use efficiency through effective breeding and management. Leaf reflectance spectroscopy offers a rapid, non-destructive alternative to traditional techniques for measuring plant traits involved in a drought response. We measured drought stress in six glasshouse-grown agronomic species using physiological, biochemical, and spectral data. In contrast to physiological traits, leaf metabolite concentrations revealed drought stress before it was visible to the naked eye. We used full-spectrum leaf reflectance data to predict metabolite concentrations using partial least-squares regression, with validation R 2 values of 0.49–0.87. We show for the first time that spectroscopy may be used for the quantitative estimation of proline and abscisic acid, demonstrating the first use of hyperspectral data to detect a phytohormone. We used linear discriminant analysis and partial least squares discriminant analysis to differentiate between watered plants and those subjected to drought based on measured traits (accuracy: 71%) and raw spectral data (66%). Finally, we validated our glasshouse-developed models in an independent field trial. We demonstrate that spectroscopy can detect drought stress via underlying biochemical changes, before visual differences occur, representing a powerful advance for measuring limitations on yield.