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Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging
Drought is a significant constraint in bean production. In this study, we used high-throughput phenotyping methods (chlorophyll fluorescence imaging, multispectral imaging, 3D multispectral scanning) to monitor the development of drought-induced morphological and physiological symptoms at an early s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059887/ https://www.ncbi.nlm.nih.gov/pubmed/36987074 http://dx.doi.org/10.3390/plants12061386 |
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author | Javornik, Tomislav Carović-Stanko, Klaudija Gunjača, Jerko Vidak, Monika Lazarević, Boris |
author_facet | Javornik, Tomislav Carović-Stanko, Klaudija Gunjača, Jerko Vidak, Monika Lazarević, Boris |
author_sort | Javornik, Tomislav |
collection | PubMed |
description | Drought is a significant constraint in bean production. In this study, we used high-throughput phenotyping methods (chlorophyll fluorescence imaging, multispectral imaging, 3D multispectral scanning) to monitor the development of drought-induced morphological and physiological symptoms at an early stage of development of the common bean. This study aimed to select the plant phenotypic traits which were most sensitive to drought. Plants were grown in an irrigated control (C) and under three drought treatments: D70, D50, and D30 (irrigated with 70, 50, and 30 mL distilled water, respectively). Measurements were performed on five consecutive days, starting on the first day after the onset of treatments (1 DAT–5 DAT), with an additional measurement taken on the eighth day (8 DAT) after the onset of treatments. Earliest detected changes were found at 3 DAT when compared to the control. D30 caused a decrease in leaf area index (of 40%), total leaf area (28%), reflectance in specific green (13%), saturation (9%), and green leaf index (9%), and an increase in the anthocyanin index (23%) and reflectance in blue (7%). The selected phenotypic traits could be used to monitor drought stress and to screen for tolerant genotypes in breeding programs. |
format | Online Article Text |
id | pubmed-10059887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100598872023-03-30 Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging Javornik, Tomislav Carović-Stanko, Klaudija Gunjača, Jerko Vidak, Monika Lazarević, Boris Plants (Basel) Article Drought is a significant constraint in bean production. In this study, we used high-throughput phenotyping methods (chlorophyll fluorescence imaging, multispectral imaging, 3D multispectral scanning) to monitor the development of drought-induced morphological and physiological symptoms at an early stage of development of the common bean. This study aimed to select the plant phenotypic traits which were most sensitive to drought. Plants were grown in an irrigated control (C) and under three drought treatments: D70, D50, and D30 (irrigated with 70, 50, and 30 mL distilled water, respectively). Measurements were performed on five consecutive days, starting on the first day after the onset of treatments (1 DAT–5 DAT), with an additional measurement taken on the eighth day (8 DAT) after the onset of treatments. Earliest detected changes were found at 3 DAT when compared to the control. D30 caused a decrease in leaf area index (of 40%), total leaf area (28%), reflectance in specific green (13%), saturation (9%), and green leaf index (9%), and an increase in the anthocyanin index (23%) and reflectance in blue (7%). The selected phenotypic traits could be used to monitor drought stress and to screen for tolerant genotypes in breeding programs. MDPI 2023-03-21 /pmc/articles/PMC10059887/ /pubmed/36987074 http://dx.doi.org/10.3390/plants12061386 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Javornik, Tomislav Carović-Stanko, Klaudija Gunjača, Jerko Vidak, Monika Lazarević, Boris Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging |
title | Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging |
title_full | Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging |
title_fullStr | Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging |
title_full_unstemmed | Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging |
title_short | Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging |
title_sort | monitoring drought stress in common bean using chlorophyll fluorescence and multispectral imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10059887/ https://www.ncbi.nlm.nih.gov/pubmed/36987074 http://dx.doi.org/10.3390/plants12061386 |
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