Literature DB >> 17032729

Exploring thermal imaging variables for the detection of stress responses in grapevine under different irrigation regimes.

Olga M Grant1, Lukasz Tronina, Hamlyn G Jones, M Manuela Chaves.   

Abstract

Temperatures of leaves or canopies can be used as indicators of stomatal closure in response to soil water deficit. In 2 years of field experiments with grapevines (Vitis vinifera L., cvs Castelão and Aragonês), it was found that thermal imaging can distinguish between irrigated and non-irrigated canopies, and even between deficit irrigation treatments. Average canopy temperature was inversely correlated with stomatal conductance measured with a porometer. Variation of the distribution of temperatures within canopies was not found to be a reliable indicator of stress. A large degree of variation between images was found in reference 'wet' and 'dry' leaves used in the first year for the calculation of an index proportional to stomatal conductance. In the second year, fully irrigated (FI) (100% Et(c)) and non-irrigated (NI) canopies were used as alternatives to wet and dry leaves. A crop water stress index utilizing these FI and NI 'references', where stressed canopies have the highest values and non-stressed canopies have the lowest values, was found to be a suitable measure for detecting stress. It is suggested that the average temperatures of areas of canopies containing several leaves may be more useful for distinguishing between irrigation treatments than the temperatures of individual leaves. Average temperatures over several leaves per canopy may be expected to reduce the impact of variation in leaf angles. The results are discussed in relation to the application of thermal imaging to irrigation scheduling and monitoring crop performance.

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Year:  2006        PMID: 17032729     DOI: 10.1093/jxb/erl153

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  19 in total

1.  Temperature profile in apricot tree canopies under the soil and climate conditions of the Romanian Black Sea Coast.

Authors:  Cristian Paltineanu; Leinar Septar; Emil Chitu
Journal:  Int J Biometeorol       Date:  2015-07-19       Impact factor: 3.787

2.  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 3.  Signature Optical Cues: Emerging Technologies for Monitoring Plant Health.

Authors:  Oi Wah Liew; Pek Ching Jenny Chong; Bingqing Li; Anand K Asundi
Journal:  Sensors (Basel)       Date:  2008-05-16       Impact factor: 3.576

4.  Phenotyping maize for adaptation to drought.

Authors:  Jose L Araus; María D Serret; Gregory O Edmeades
Journal:  Front Physiol       Date:  2012-08-10       Impact factor: 4.566

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.  Nighttime transpirational cooling enabled by circadian regulation of stomatal conductance is related to stomatal anatomy and leaf morphology in rice.

Authors:  Qiangqiang Zhang; Yuhan Yang; Shaobing Peng; Yong Li
Journal:  Planta       Date:  2021-06-24       Impact factor: 4.116

7.  A novel, non-invasive, online-monitoring, versatile and easy plant-based probe for measuring leaf water status.

Authors:  D Zimmermann; R Reuss; M Westhoff; P Gessner; W Bauer; E Bamberg; F-W Bentrup; U Zimmermann
Journal:  J Exp Bot       Date:  2008       Impact factor: 6.992

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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