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Assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential
INTRODUCTION: Automated plant-based measurements of water stress have the potential to advance precision irrigation in orchard crops. Previous studies have shown correlations between sap flow, line variable differential transform (LVDT) dendrometers and fruit tree drought response. Here we report se...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435262/ https://www.ncbi.nlm.nih.gov/pubmed/37600171 http://dx.doi.org/10.3389/fpls.2023.1214429 |
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author | Wheeler, William D. Black, Brent Bugbee, Bruce |
author_facet | Wheeler, William D. Black, Brent Bugbee, Bruce |
author_sort | Wheeler, William D. |
collection | PubMed |
description | INTRODUCTION: Automated plant-based measurements of water stress have the potential to advance precision irrigation in orchard crops. Previous studies have shown correlations between sap flow, line variable differential transform (LVDT) dendrometers and fruit tree drought response. Here we report season-long automated measurement of maximum daily change in trunk diameter using band dendrometers and heated needles to measure a simplified sap flow index (SFI). METHODS: Measurements were made on two apple cultivars that were stressed at 7 to 12 day intervals by withholding irrigation until the average stem water potential (Ψ(Stem)) dropped below -1.5 MPa, after which irrigation was restored and the drought cycle repeated. RESULTS: Dendrometer measurements of maximum daily trunk shrinkage (MDS) were highly correlated (r² = 0.85) with pressure chamber measurements of stem water potential. The SFI measurements were less correlated with stem water potential but were highly correlated with evaporative demand (r² = 0.82) as determined by the Penman-Monteith equation (ET(r)). DISCUSSION: The high correlation of SFI to ET(r) suggests that high-density orchards resemble a continuous surface, unlike orchards with widely spaced trees. The correlations of MDS and SFI to Ψ(Stem) were higher during the early season than the late season growth. Band dendrometers are less labor intensive to install than LVDT dendrometers and are non-invasive so are well suited to commercialization. |
format | Online Article Text |
id | pubmed-10435262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104352622023-08-18 Assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential Wheeler, William D. Black, Brent Bugbee, Bruce Front Plant Sci Plant Science INTRODUCTION: Automated plant-based measurements of water stress have the potential to advance precision irrigation in orchard crops. Previous studies have shown correlations between sap flow, line variable differential transform (LVDT) dendrometers and fruit tree drought response. Here we report season-long automated measurement of maximum daily change in trunk diameter using band dendrometers and heated needles to measure a simplified sap flow index (SFI). METHODS: Measurements were made on two apple cultivars that were stressed at 7 to 12 day intervals by withholding irrigation until the average stem water potential (Ψ(Stem)) dropped below -1.5 MPa, after which irrigation was restored and the drought cycle repeated. RESULTS: Dendrometer measurements of maximum daily trunk shrinkage (MDS) were highly correlated (r² = 0.85) with pressure chamber measurements of stem water potential. The SFI measurements were less correlated with stem water potential but were highly correlated with evaporative demand (r² = 0.82) as determined by the Penman-Monteith equation (ET(r)). DISCUSSION: The high correlation of SFI to ET(r) suggests that high-density orchards resemble a continuous surface, unlike orchards with widely spaced trees. The correlations of MDS and SFI to Ψ(Stem) were higher during the early season than the late season growth. Band dendrometers are less labor intensive to install than LVDT dendrometers and are non-invasive so are well suited to commercialization. Frontiers Media S.A. 2023-08-03 /pmc/articles/PMC10435262/ /pubmed/37600171 http://dx.doi.org/10.3389/fpls.2023.1214429 Text en Copyright © 2023 Wheeler, Black and Bugbee 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 Wheeler, William D. Black, Brent Bugbee, Bruce Assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential |
title | Assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential |
title_full | Assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential |
title_fullStr | Assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential |
title_full_unstemmed | Assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential |
title_short | Assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential |
title_sort | assessing water stress in a high-density apple orchard using trunk circumference variation, sap flow index and stem water potential |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435262/ https://www.ncbi.nlm.nih.gov/pubmed/37600171 http://dx.doi.org/10.3389/fpls.2023.1214429 |
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