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Combining thermal imaging and soil water content sensors to assess tree water status in pear trees
Volumetric soil water content is commonly used for irrigation management in fruit trees. By integrating direct information on tree water status into measurements of soil water content, we can improve detection of water stress and irrigation scheduling. Thermal-based indicators can be an alternative...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280006/ https://www.ncbi.nlm.nih.gov/pubmed/37346137 http://dx.doi.org/10.3389/fpls.2023.1197437 |
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author | Blanco, Victor Willsea, Noah Campbell, Thiago Howe, Orlando Kalcsits, Lee |
author_facet | Blanco, Victor Willsea, Noah Campbell, Thiago Howe, Orlando Kalcsits, Lee |
author_sort | Blanco, Victor |
collection | PubMed |
description | Volumetric soil water content is commonly used for irrigation management in fruit trees. By integrating direct information on tree water status into measurements of soil water content, we can improve detection of water stress and irrigation scheduling. Thermal-based indicators can be an alternative to traditional measurements of midday stem water potential and stomatal conductance for irrigation management of pear trees (Pyrus communis L.). These indicators are easy, quick, and cost-effective. The soil and tree water status of two cultivars of pear trees ‘D’Anjou’ and ‘Bartlett’ submitted to regulated deficit irrigation was measured regularly in a pear orchard in Rock Island, WA (USA) for two seasons, 2021 and 2022. These assessments were compared to the canopy temperature (Tc), the difference between the canopy and air temperature (Tc-Ta) and the crop water stress index (CWSI). Trees under deficit irrigation had lower midday stem water potential and stomatal conductance but higher Tc, Tc-Ta, and CWSI. Tc was not a robust method to assess tree water status since it was strongly related to air temperature (R = 0.99). However, Tc-Ta and CWSI were greater than 0°C or 0.5, respectively, and were less dependent on the environmental conditions when trees were under water deficits (midday stem water potential values< -1.2 MPa). Moreover, values of Tc-Ta = 2°C and CWSI = 0.8 occurred when midday stem water potential was close to -1.5 MPa and stomatal conductance was lower than 200 mmol m(-2)s(-1). Soil water content (SWC) was the first indicator in detecting the deficit irrigation applied, however, it was not as strongly related to the tree water status as the thermal-based indicators. Thus, the relation between the indicators studied with the stem water potential followed the order: CWSI > Tc-Ta > SWC = Tc. A multiple regression analysis is proposed that combines both soil water content and thermal-based indices to overcome limitations of individual use of each indicator. |
format | Online Article Text |
id | pubmed-10280006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102800062023-06-21 Combining thermal imaging and soil water content sensors to assess tree water status in pear trees Blanco, Victor Willsea, Noah Campbell, Thiago Howe, Orlando Kalcsits, Lee Front Plant Sci Plant Science Volumetric soil water content is commonly used for irrigation management in fruit trees. By integrating direct information on tree water status into measurements of soil water content, we can improve detection of water stress and irrigation scheduling. Thermal-based indicators can be an alternative to traditional measurements of midday stem water potential and stomatal conductance for irrigation management of pear trees (Pyrus communis L.). These indicators are easy, quick, and cost-effective. The soil and tree water status of two cultivars of pear trees ‘D’Anjou’ and ‘Bartlett’ submitted to regulated deficit irrigation was measured regularly in a pear orchard in Rock Island, WA (USA) for two seasons, 2021 and 2022. These assessments were compared to the canopy temperature (Tc), the difference between the canopy and air temperature (Tc-Ta) and the crop water stress index (CWSI). Trees under deficit irrigation had lower midday stem water potential and stomatal conductance but higher Tc, Tc-Ta, and CWSI. Tc was not a robust method to assess tree water status since it was strongly related to air temperature (R = 0.99). However, Tc-Ta and CWSI were greater than 0°C or 0.5, respectively, and were less dependent on the environmental conditions when trees were under water deficits (midday stem water potential values< -1.2 MPa). Moreover, values of Tc-Ta = 2°C and CWSI = 0.8 occurred when midday stem water potential was close to -1.5 MPa and stomatal conductance was lower than 200 mmol m(-2)s(-1). Soil water content (SWC) was the first indicator in detecting the deficit irrigation applied, however, it was not as strongly related to the tree water status as the thermal-based indicators. Thus, the relation between the indicators studied with the stem water potential followed the order: CWSI > Tc-Ta > SWC = Tc. A multiple regression analysis is proposed that combines both soil water content and thermal-based indices to overcome limitations of individual use of each indicator. Frontiers Media S.A. 2023-06-06 /pmc/articles/PMC10280006/ /pubmed/37346137 http://dx.doi.org/10.3389/fpls.2023.1197437 Text en Copyright © 2023 Blanco, Willsea, Campbell, Howe and Kalcsits https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Blanco, Victor Willsea, Noah Campbell, Thiago Howe, Orlando Kalcsits, Lee Combining thermal imaging and soil water content sensors to assess tree water status in pear trees |
title | Combining thermal imaging and soil water content sensors to assess tree water status in pear trees |
title_full | Combining thermal imaging and soil water content sensors to assess tree water status in pear trees |
title_fullStr | Combining thermal imaging and soil water content sensors to assess tree water status in pear trees |
title_full_unstemmed | Combining thermal imaging and soil water content sensors to assess tree water status in pear trees |
title_short | Combining thermal imaging and soil water content sensors to assess tree water status in pear trees |
title_sort | combining thermal imaging and soil water content sensors to assess tree water status in pear trees |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280006/ https://www.ncbi.nlm.nih.gov/pubmed/37346137 http://dx.doi.org/10.3389/fpls.2023.1197437 |
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