Thermal infrared imaging of crop canopies for the remote diagnosis and quantification of plant responses to water stress in the field

Functional Plant Biology : FPB
Hamlyn G JonesAdam H Price

Abstract

Thermal imaging using infrared (IR) is now an established technology for the study of stomatal responses and for phenotyping plants for differences in stomatal behaviour. This paper outlines the potential applications of IR sensing in drought phenotyping, with particular emphasis on a description of the problems with extrapolation of the technique from the study of single leaves in controlled environments to the study of plant canopies is field plots, with examples taken from studies on grapevine (Vitis vinifera L.) and rice (Oryza sativa L.). Particular problems include the sensitivity of leaf temperature (and potentially the temperature of reference surfaces) to both temporal and spatial variation in absorbed radiation, with leaf temperature varying by as much as 15°C between full sun and deep shade. Examples of application of the approach to phenotyping in the field and the steps in data analysis are outlined, demonstrating that clear genotypic variation may be detected despite substantial variation in soil moisture status or incident radiation by the use of appropriate normalisation techniques.

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Citations

Sep 10, 2019·Plant Methods·Stefan Paulus
Oct 28, 2014·Sensors·Lei LiDanfeng Huang
Jan 9, 2018·Journal of Experimental Botany·Viridiana Silva-PerezJohn R Evans
Jun 7, 2018·Annals of Botany·Erik H MurchieTracy Lawson
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Oct 16, 2019·Journal of Experimental Botany·Justyna Jadwiga OlasFederico Apelt
Feb 6, 2020·Frontiers in Plant Science·Dilip K BiswasYong-Bi Fu
Dec 18, 2019·Journal of Experimental Botany·Giovanni MelandriCarolien Ruyter-Spira
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Dec 1, 2014·Functional Plant Biology : FPB·Wouter H MaesKathy Steppe
Mar 5, 2013·Annual Review of Plant Biology·Fabio Fiorani, Ulrich Schurr
Feb 1, 2012·Functional Plant Biology : FPB·Greg J RebetzkeAnthony Tony G Condon
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Feb 12, 2019·Frontiers in Plant Science·Yang-Er ChenShu Yuan

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