Skip to main navigation Skip to main content
  • KSBS
  • E-Submission

Plant Breed. Biotech. : Plant Breeding and Biotechnology

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS

Articles

Review Article

Phenotyping of Plants for Drought and Salt Tolerance Using Infra-Red Thermography

Plant Breeding and Biotechnology 2015;3(4):299-307.
Published online: November 30, 2015

1Department of Agricultural Biotechnology, The National Academy of Agricultural Sciences, Jeonju 54874, Korea

2Stress Physiology Phenomic Center, Department of Botany, University of Karachi, Karachi 75270, Pakistan

*Corresponding author: Taek-ryoun Kwon, trkwon@Korea.kr, Tel: +82-63-238-4661, Fax: +82-63-238-4654
• Received: October 7, 2015   • Revised: November 17, 2015   • Accepted: November 19, 2015

Copyright © 2015 The Korean Society of Breeding Science

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • 18 Views
  • 0 Download
  • 9 Crossref
prev next

Citations

Citations to this article as recorded by  Crossref logo
  • Artificial Intelligence (AI) in Detection of Abiotic Stress in Plants: A Review
    Anushree Matabber, Lionel Lami-Ndame Rhuhanga, Shinsuke Agehara, Maryam Mozafarian
    Sensors.2026; 26(4): 1122.     CrossRef
  • High throughput phenomics in elucidating drought stress responses in rice (Oryza sativa L.)
    S. Anand, R. L. Visakh, R. Nalishma, R. P. Sah, R. Beena
    Journal of Plant Biochemistry and Biotechnology.2025; 34(1): 119.     CrossRef
  • Functional phenotyping: Understanding the dynamic response of plants to drought stress
    Sheikh Mansoor, Yong Suk Chung
    Current Plant Biology.2024; 38: 100331.     CrossRef
  • Water and Nutrient Recovery for Cucumber Hydroponic Cultivation in Simultaneous Biological Treatment of Urine and Grey Water
    Anna Wdowikowska, Małgorzata Reda, Katarzyna Kabała, Piotr Chohura, Anna Jurga, Kamil Janiak, Małgorzata Janicka
    Plants.2023; 12(6): 1286.     CrossRef
  • Field identification of drought tolerant wheat genotypes using canopy vegetation indices instead of plant physiological and biochemical traits
    Pengfei Wen, Yu Meng, Chenkai Gao, Xiaokang Guan, TongChao Wang, Wei Feng
    Ecological Indicators.2023; 154: 110781.     CrossRef
  • Improving Drought Tolerance in Mungbean (Vigna radiata L. Wilczek): Morpho-Physiological, Biochemical and Molecular Perspectives
    Chandra Mohan Singh, Poornima Singh, Chandrakant Tiwari, Shalini Purwar, Mukul Kumar, Aditya Pratap, Smita Singh, Vishal Chugh, Awdhesh Kumar Mishra
    Agronomy.2021; 11(8): 1534.     CrossRef
  • Sustainable effect of a symbiotic nitrogen‐fixing bacterium Sinorhizobium meliloti on nodulation and photosynthetic traits of four leguminous plants under low moisture stress environment
    Z.S. Siddiqui, F. Ali, Z. Uddin
    Letters in Applied Microbiology.2021; 72(6): 714.     CrossRef
  • High-throughput phenotyping platform for analyzing drought tolerance in rice
    Song Lim Kim, Nyunhee Kim, Hongseok Lee, Eungyeong Lee, Kyeong-Seong Cheon, Minsu Kim, JeongHo Baek, Inchan Choi, Hyeonso Ji, In Sun Yoon, Ki-Hong Jung, Taek-Ryoun Kwon, Kyung-Hwan Kim
    Planta.2020;[Epub]     CrossRef
  • Thermal Imaging for Plant Stress Detection and Phenotyping
    Mónica Pineda, Matilde Barón, María-Luisa Pérez-Bueno
    Remote Sensing.2020; 13(1): 68.     CrossRef

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Phenotyping of Plants for Drought and Salt Tolerance Using Infra-Red Thermography
Plant Breed. Biotech.. 2015;3(4):299-307.   Published online November 30, 2015
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Phenotyping of Plants for Drought and Salt Tolerance Using Infra-Red Thermography
Plant Breed. Biotech.. 2015;3(4):299-307.   Published online November 30, 2015
Close

Figure

  • 0
  • 1
  • 2
Phenotyping of Plants for Drought and Salt Tolerance Using Infra-Red Thermography
Image Image Image
Fig. 1 Relationship between IR image’s colour and water status in rice plants, especially, for the phenotyping for drought and salt tolerance. Image A, B, C and D (Siddiqui et al. 2014) E (Kuromori et al. 2011).
Fig. 2 IR image of CaMsrB2 transgenic rice plants in drought expressing different leaf temperature as compare to their wild type (Siddiqui et al. 2014b). L-8 and L-23 are transgenic lines with the overexpressed drought tolerant gene, CaMsrB2. WT is their wild type.
Fig. 3 Plants have different infra-red thermography depending on which they grown with or without drought/salt stress. The stressed plant has a limited water uptake in the presence of drought and salinity, resulting in less availability of tissue water. This dehydration causes plant to close stomata on leaf, leading an increment of temperature. Infra-red thermography can detect the stress-induced changes of temperature at last.
Phenotyping of Plants for Drought and Salt Tolerance Using Infra-Red Thermography

Average leaf temperature and their correlation with some physiological traits under drought stress. Seedlings of CaMsrB2 expressing transgenic lines and its wildtype were imposed by drought stress via withholding water prior to measure those physiological traits (Siddiqui et al. 2014). Correlations were calculated between plant tempertature and their physiological data.

Genotypes Temperature °C Osmotic Potential (bar) RWC (%) Stomatal Conductance (mmole m−2 s−1)
WT 27.80±0.12 1.2±0.32 40±3.22 8.00±3.22
Line-8 27.27±0.13 3.6±0.33 54±4.33 38.2±4.33
Line-23 27.07±0.12 6.9±0.25 68±6.52 120±17.95
r −0.85 −0.905 −0.704

Similar alphabet on each values represent non-significant at P=0.01) r=Correlation values Camera Model FLIR 620SC, software ThermaCAM.

Average leaf temperature, relative water content (RWC) and stomatal conductance of rice plants under various salinity. Seedlings of rice genotypes, cvs. ‘Dongjin’ and ‘Ilmi’, were imposed by several NaCl salinity prior to measure those physiological traits using a protocol mentioned in Siddiqui et al. (2014b). Correlations were calculated between salinity and physiological changes.

NaCl mM Temperature °C RWC (%) Stomatal conductance (mmole m−2 s−1)
0 27.9±0.12 75.3±3.22 140±7.55
75 28.5±0.13 70.0±4.33 115±3.15
150 29.4±0.12 52.5±3.95 50.0±2.88
225 30.4±0.15 40.0±2.25 30.0±1.15
r +0.88 −0.85 −0.62

Leaf temperature were measured by ThermaCAM software FLIR SC 620.

Table 1 Average leaf temperature and their correlation with some physiological traits under drought stress. Seedlings of CaMsrB2 expressing transgenic lines and its wildtype were imposed by drought stress via withholding water prior to measure those physiological traits (Siddiqui et al. 2014). Correlations were calculated between plant tempertature and their physiological data.

Similar alphabet on each values represent non-significant at P=0.01) r=Correlation values Camera Model FLIR 620SC, software ThermaCAM.

Table 2 Average leaf temperature, relative water content (RWC) and stomatal conductance of rice plants under various salinity. Seedlings of rice genotypes, cvs. ‘Dongjin’ and ‘Ilmi’, were imposed by several NaCl salinity prior to measure those physiological traits using a protocol mentioned in Siddiqui et al. (2014b). Correlations were calculated between salinity and physiological changes.

Leaf temperature were measured by ThermaCAM software FLIR SC 620.