Literature DB >> 16898014

Estimating stomatal conductance with thermal imagery.

I Leinonen1, O M Grant, C P P Tagliavia, M M Chaves, H G Jones.   

Abstract

Most thermal methods for the study of drought responses in plant leaves are based on the calculation of 'stress indices'. This paper proposes and compares three main extensions of these for the direct estimation of absolute values of stomatal conductance to water vapour (gs) using infrared thermography (IRT). All methods use the measured leaf temperature and two environmental variables (air temperature and boundary layer resistance) as input. Additional variables required, depending on the method, are the temperatures of wet and dry reference surfaces, net radiation and relative humidity. The methods were compared using measured gs data from a vineyard in Southern Portugal. The errors in thermal estimates of conductance were of the same order as the measurement errors using a porometer. Observed variability was also compared with theoretical estimates of errors in estimated gs determined on the basis of the errors in the input variables (leaf temperature, boundary layer resistance, net radiation) and the partial derivatives of the energy balance equations used for the gs calculations. The full energy balance approach requires accurate estimates of net radiation absorbed, which may not be readily available in field conditions, so alternatives using reference surfaces are shown to have advantages. A new approach using a dry reference leaf is particularly robust and recommended for those studies where the specific advantages of thermal imagery, including its non-contact nature and its ability to sample large numbers of leaves, are most apparent. Although the results suggest that estimates of the absolute magnitude of gs are somewhat subjective, depending on the skill of the experimenter at selecting evenly exposed leaves, relative treatment differences in conductance are sensitively detected by different experimenters.

Entities:  

Mesh:

Year:  2006        PMID: 16898014     DOI: 10.1111/j.1365-3040.2006.01528.x

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  21 in total

Review 1.  Improving water use in crop production.

Authors:  J I L Morison; N R Baker; P M Mullineaux; W J Davies
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-02-12       Impact factor: 6.237

2.  Comparison of infrared canopy temperature in a rubber plantation and tropical rain forest.

Authors:  Qing-Hai Song; Yun Deng; Yi -Ping Zhang; Xiao-Bao Deng; You-Xing Lin; Li-Guo Zhou; Xue-Hai Fei; Li-Qing Sha; Yun-Tong Liu; Wen-Jun Zhou; Jin-Bo Gao
Journal:  Int J Biometeorol       Date:  2017-07-31       Impact factor: 3.787

3.  Challenges for a Massive Implementation of Phenomics in Plant Breeding Programs.

Authors:  Gustavo A Lobos; Félix Estrada; Alejandro Del Pozo; Sebastián Romero-Bravo; Cesar A Astudillo; Freddy Mora-Poblete
Journal:  Methods Mol Biol       Date:  2022

Review 4.  Breeding for drought and heat tolerance in wheat.

Authors:  Peter Langridge; Matthew Reynolds
Journal:  Theor Appl Genet       Date:  2021-03-14       Impact factor: 5.699

5.  Phenotyping for drought tolerance of crops in the genomics era.

Authors:  Roberto Tuberosa
Journal:  Front Physiol       Date:  2012-09-19       Impact factor: 4.566

6.  Determining the leaf emissivity of three crops by infrared thermometry.

Authors:  Chiachung Chen
Journal:  Sensors (Basel)       Date:  2015-05-15       Impact factor: 3.576

7.  Effect of Pisolithus tinctorious on Physiological and Hormonal Traits in Cistus Plants to Water Deficit: Relationships among Water Status, Photosynthetic Activity and Plant Quality.

Authors:  Beatriz Lorente; Inés Zugasti; María Jesús Sánchez-Blanco; Emilio Nicolás; María Fernanda Ortuño
Journal:  Plants (Basel)       Date:  2021-05-13

Review 8.  Coping with drought: stress and adaptive responses in potato and perspectives for improvement.

Authors:  Jude E Obidiegwu; Glenn J Bryan; Hamlyn G Jones; Ankush Prashar
Journal:  Front Plant Sci       Date:  2015-07-22       Impact factor: 5.753

9.  A novel system for spatial and temporal imaging of intrinsic plant water use efficiency.

Authors:  L McAusland; P A Davey; N Kanwal; N R Baker; T Lawson
Journal:  J Exp Bot       Date:  2013-09-16       Impact factor: 6.992

10.  Automatic detection of regions in spinach canopies responding to soil moisture deficit using combined visible and thermal imagery.

Authors:  Shan-e-Ahmed Raza; Hazel K Smith; Graham J J Clarkson; Gail Taylor; Andrew J Thompson; John Clarkson; Nasir M Rajpoot
Journal:  PLoS One       Date:  2014-06-03       Impact factor: 3.240

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