Thermal infrared imaging of crop canopies for the remote diagnosis and quantification of plant responses to water stress in the field
Hamlyn G. Jones A G , Rachid Serraj B , Brian R. Loveys C , Lizhong Xiong D , Ashley Wheaton E and Adam H. Price FA Division of Plant Sciences, University of Dundee at SCRI, Invergowrie, Dundee DD2 5DA, Scotland.
B International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines.
C CSIRO Plant Industry, PO Box 350, Glen Osmond, SA 5064, Australia.
D National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China.
E Melbourne School of Land and Environment, Dookie Campus, The University of Melbourne, Dookie College, Vic. 3647, Australia.
F Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 3UU, UK.
G Corresponding author. Email: h.g.jones@dundee.ac.uk
This paper originates from a presentation at the 1st International Plant Phenomics Symposium, Canberra, Australia, April 2009.
Functional Plant Biology 36(11) 978-989 https://doi.org/10.1071/FP09123
Submitted: 26 May 2009 Accepted: 15 September 2009 Published: 5 November 2009
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.
Additional keywords: BRDF, drought, grapevine, IR thermography, Oryza sativa, phenotyping, rice, stress diagnosis, stress sensing, Vitis vinifera.
Acknowledgements
We are particularly grateful to various colleagues including Pietà Schofield, Ilkka Leinonen and Laury Chaerle for their contributions to aspects of the work described, and to funding agencies including EU Human Potential Program - HPRN-CT-2002–00254, EU FP6 project 015468 ‘CEDROME’, EU WATERUSE Project (EVKI-2000–22061), UK Defra HortLink project WaterLink2 (project HL0168), the Rockefeller Foundation Project (IRRI), the International Rice Research Institute and the Australian Grape and Wine Research and Development Corporation.
Breidenbach RW,
Saxton MJ,
Hansen LD, Criddle RS
(1997) Heat generation and dissipation in plants: can the alternative oxidase pathway serve a thermoregulatory role in plant tissues other than specialised organs? Plant Physiology 114, 1137–1140.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Chaerle L,
Hagenbeek D,
De Bruyne E,
Valcke R, Van Der Straeten D
(2004) Thermal and chlorophyll-fluorescence imaging distinguish plant–pathogen interactions at an early stage. Plant & Cell Physiology 45, 887–896.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Chaerle L,
Hagenbeek D,
Vanrobaeys X, Van Der Straeten D
(2007) Early detection of nutrient and biotic stress in Phaseolus vulgaris. International Journal of Remote Sensing 28, 3479–3492.
| Crossref | GoogleScholarGoogle Scholar |
Cohen Y,
Alchantis V,
Meron M,
Saranga Y, Tsipris J
(2005) Estimation of leaf water potential by thermal imagery and spatial analysis. Journal of Experimental Botany 56, 1843–1852.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Fuchs M
(1990) Infrared measurement of canopy temperature and detection of plant water stress. Theoretical and Applied Climatology 42, 253–261.
| Crossref | GoogleScholarGoogle Scholar |
Garrity DP, O’Toole JC
(1995) Selection for reproductive stage drought avoidance in rice, using infrared thermometry. Agronomy Journal 87, 773–779.
González-Dugo MP,
Moran MS,
Mateos L, Bryant R
(2006) Canopy temperature variability as an indicator of crop water stress severity. Irrigation Science 24(4), 233–240.
| Crossref | GoogleScholarGoogle Scholar |
Grant OM,
Tronina L,
Jones HG, Chaves MM
(2007) Exploring thermal imaging variables for the detection of stress responses in grapevine under different irrigation regimes. Journal of Experimental Botany 58, 815–825.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Guiliani R, Flore JA
(2000) Potential use of infra-red thermometry for the detection of water stress in apple trees. Acta Horticulturae 537, 383–392.
Guilioni L,
Jones HG,
Leinonen I, Lhomme JP
(2008) On the relationships between stomatal resistance and leaf temperatures in thermography. Agricultural and Forest Meteorology 148(11), 1908–1912.
| Crossref | GoogleScholarGoogle Scholar |
Guisard Y,
Whish JPM, Scollary GR
(2009) Canopy temperature as indicator of water stress: image analysis of grapevine canopies. Acta Horticulturae in press. ,
Idso SB
(1982) Non-water-stressed baselines – a key to measuring and interpreting plant water-stress. Agricultural Meteorology 27, 59–70.
| Crossref | GoogleScholarGoogle Scholar |
Idso SB,
Jackson RD,
Pinter PJ,
Reginato RJ, Hatfield JL
(1981) Normalizing the stress-degree-day parameter for environmental variability. Agricultural Meteorology 24, 45–55.
| Crossref | GoogleScholarGoogle Scholar |
Jackson RD,
Reginato RJ, Idso SB
(1977) Wheat canopy temperature: a practical tool for evaluating water requirements. Water Resources Research 13, 651–656.
| Crossref | GoogleScholarGoogle Scholar |
Jia L,
Li Z-I,
Menenti M,
Su Z, Verhoef W
(2003) A practical algorithm to infer soil and foliage component temperatures from bi-angular ATSR-2 data. International Journal of Remote Sensing 24, 4739–4760.
| Crossref | GoogleScholarGoogle Scholar |
Jones HG
(1994) Use of infrared thermometry for irrigation scheduling. Aspects of Applied Biology 28, 247–253.
Jones HG
(1999a) Use of infrared thermometry for estimation of stomatal conductance in irrigation scheduling. Agricultural and Forest Meteorology 95, 139–149.
| Crossref | GoogleScholarGoogle Scholar |
Jones HG
(1999b) Use of thermography for quantitative studies of spatial and temporal variation of stomatal conductance over leaf surfaces. Plant, Cell & Environment 22(9), 1043–1055.
| Crossref | GoogleScholarGoogle Scholar |
Jones HG
(2004) Application of thermal imaging and infrared sensing in plant physiology and ecophysiology. Advances in Botanical Research 41, 107–163.
| Crossref | GoogleScholarGoogle Scholar |
Jones HG,
Aikman D, McBurney TA
(1997) Improvements to infra-red thermometry for irrigation scheduling. Acta Horticulturae 449, 259–266.
Jones HG,
Stoll M,
Santos T,
de Sousa C,
Chaves MM, Grant OM
(2002) Use of infrared thermography for monitoring stomatal closure in the field: application to grapevine. Journal of Experimental Botany 53(378), 2249–2260.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Kimes DS,
Idso SB,
Pinter PJ,
Reginato RJ, Jackson RD
(1980) View angle effects in the radiometric measurement of plant canopy temperatures. Remote Sensing of Environment 10, 273–284.
| Crossref | GoogleScholarGoogle Scholar |
Leinonen I, Jones HG
(2004) Combining thermal and visible imagery for estimating canopy temperature and identifying plant stress. Journal of Experimental Botany 55, 1423–1431.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Leinonen I,
Grant OM,
Tagliavia CPP,
Chaves MM, Jones HG
(2006) Estimating stomatal conductance with thermal imagery. Plant, Cell & Environment 29, 1508–1518.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Lenk S, Buschmann C
(2006) Distribution of UV-shielding of the epidermis of sun and shade leaves of the beech (Fagus sylvatica L.) as monitored by multi-colour fluorescence imaging. Journal of Plant Physiology 163, 1273–1283.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Loveys BR,
Jones HG,
Theobald JC, McCarthy MG
(2008) An assessment of plant-based measures of grapevine performance as irrigation-scheduling tools. Acta Horticulturae 792, 391–403.
Merlot S,
Mustilli AC,
Genty B,
North H,
Lefebvre V,
Sotta B,
Vavasseur A, Giraudat J
(2002) Use of infrared thermal imaging to isolate Arabidopsis mutants defective in stomatal regulation. The Plant Journal 30(5), 601–609.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
PubMed |
Möller M,
Alcanatis V,
Cohen Y,
Meron M,
Tsipris J,
Naor A,
Ostrovsky V,
Sprintsin M, Cohen S
(2007) Use of thermal and visible imagery for estimating crop water status of irrigated grapevine. Journal of Experimental Botany 58, 827–838.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Nemani RR, Running SW
(1989) Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data. Journal of Applied Meteorology 28, 276–284.
| Crossref | GoogleScholarGoogle Scholar |
Otterman J,
Brakke TW,
Fuchs M,
Lakshmi V, Cadeddu M
(1999) Long-wave emission from a plant/soil surface as a function of the view direction: dependence on the canopy architecture. International Journal of Remote Sensing 20, 2195–2201.
| Crossref | GoogleScholarGoogle Scholar |
Price AH,
Steele KA,
Moore BJ,
Barraclough PB, Clark LJ
(2000) A combined RFLP and AFLP linkage map of upland rice (Oryza sativa L.) used to identify QTLs for root penetration ability. Theoretical and Applied Genetics 100, 49–56.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Raskin I, Ladyman JAR
(1988) Isolation and characterisation of a barley mutant with abscisic-acid-insensitive stomata. Planta 173, 73–78.
| Crossref | GoogleScholarGoogle Scholar |
Reynolds MP,
Singh RP,
Ibrahim A,
Ageeb OA,
Larqué-Saavedra A, Quick JS
(1998) Evaluating physiological traits to compliment empirical selection for wheat in warm environments. Euphytica 100, 85–94.
| Crossref | GoogleScholarGoogle Scholar |
Sepulcre-Cantó G,
Zarco-Tejada PJ,
Jiménez-Muñoz JC,
Sobrino JA,
Spriano MA,
Fereres E,
Vega V, Pastor M
(2007) Monitoring yield and fruit quality parameters in open-canopy tree crops under water stress. Implications for ASTER. Remote Sensing of Environment 107, 455–470.
| Crossref | GoogleScholarGoogle Scholar |
Serraj R,
Kumar A,
McNally KL,
Slamet-Loedin I,
Bruskiewich R,
Mauleon R,
Cairns J, Hijmans R
(2009) Improvement of drought resistance in rice. Advances in Agronomy 103, 41–99.
| Crossref | GoogleScholarGoogle Scholar |
Seymour RS
(1999) Pattern of respiration by intact inflorescences of the thermogenic arum lily Philodendron selloum. Journal of Experimental Botany 50, 845–852.
| Crossref | GoogleScholarGoogle Scholar |
CAS |
Wisniewski M,
Lindow SE, Ashworth EN
(1997) Observations of ice nucleation and propagation in plants using infrared video thermography. Plant Physiology 113, 327–334.
|
CAS |
PubMed |
