Abstract

In this paper we describe a non-invasive method of measuring leaf water content using THz radiation and combine this with psychrometry for determination of leaf pressure–volume relationships. In contrast to prior investigations using THz radiation to measure plant water status, the reported method exploits the differential absorption characteristic of THz radiation at multiple frequencies within plant leaves to determine absolute water content in real-time. By combining the THz system with a psychrometer, pressure–volume curves were generated in a completely automated fashion for the determination of leaf tissue water relations parameters including water potential at turgor loss, osmotic potential at full turgor and the relative water content at the turgor loss point. This novel methodology provides for repeated, non-destructive measurement of leaf water content and greatly increased efficiency in generation of leaf PV curves by reducing user handling time.

Details

Title
Non-invasive measurement of leaf water content and pressure–volume curves using terahertz radiation
Author
Li, Ran 1 ; Lu Yaojie 2 ; Peters, Jennifer M, R 3 ; Choat Brendan 4 ; Lee, Andrew J 1 

 Macquarie University, MQ Photonics Research Centre, Department of Physics and Astronomy, North Ryde, Australia (GRID:grid.1004.5) (ISNI:0000 0001 2158 5405) 
 Macquarie University, MQ Photonics Research Centre, Department of Physics and Astronomy, North Ryde, Australia (GRID:grid.1004.5) (ISNI:0000 0001 2158 5405); University of Western Sydney, Hawkesbury Institute for the Environment, Richmond, Australia (GRID:grid.1029.a) (ISNI:0000 0000 9939 5719) 
 University of Western Sydney, Hawkesbury Institute for the Environment, Richmond, Australia (GRID:grid.1029.a) (ISNI:0000 0000 9939 5719); Oak Ridge National Laboratory, Climate Change Science Institute & Environmental Science Division, Oak Ridge, USA (GRID:grid.135519.a) (ISNI:0000 0004 0446 2659) 
 University of Western Sydney, Hawkesbury Institute for the Environment, Richmond, Australia (GRID:grid.1029.a) (ISNI:0000 0000 9939 5719) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2473284290
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.