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...
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MDPI AG
2023-03-01
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Online Access: | https://www.mdpi.com/2223-7747/12/6/1386 |
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author | Tomislav Javornik Klaudija Carović-Stanko Jerko Gunjača Monika Vidak Boris Lazarević |
author_facet | Tomislav Javornik Klaudija Carović-Stanko Jerko Gunjača Monika Vidak Boris Lazarević |
author_sort | Tomislav Javornik |
collection | DOAJ |
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. |
first_indexed | 2024-03-11T06:00:10Z |
format | Article |
id | doaj.art-5ee280c0913c43d686bc611c34a3dd7b |
institution | Directory Open Access Journal |
issn | 2223-7747 |
language | English |
last_indexed | 2024-03-11T06:00:10Z |
publishDate | 2023-03-01 |
publisher | MDPI AG |
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series | Plants |
spelling | doaj.art-5ee280c0913c43d686bc611c34a3dd7b2023-11-17T13:23:11ZengMDPI AGPlants2223-77472023-03-01126138610.3390/plants12061386Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral ImagingTomislav Javornik0Klaudija Carović-Stanko1Jerko Gunjača2Monika Vidak3Boris Lazarević4Centre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Svetošimunska cesta 25, HR-10000 Zagreb, CroatiaCentre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Svetošimunska cesta 25, HR-10000 Zagreb, CroatiaCentre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Svetošimunska cesta 25, HR-10000 Zagreb, CroatiaCentre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Svetošimunska cesta 25, HR-10000 Zagreb, CroatiaCentre of Excellence for Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv), Svetošimunska cesta 25, HR-10000 Zagreb, CroatiaDrought 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.https://www.mdpi.com/2223-7747/12/6/1386high-throughput phenotypingmorphological changesspectral reflectancevegetation indices |
spellingShingle | Tomislav Javornik Klaudija Carović-Stanko Jerko Gunjača Monika Vidak Boris Lazarević Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging Plants high-throughput phenotyping morphological changes spectral reflectance vegetation indices |
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 | high-throughput phenotyping morphological changes spectral reflectance vegetation indices |
url | https://www.mdpi.com/2223-7747/12/6/1386 |
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