Image-based sensing of salt stress in grapevine
Grapevine is among the most economically important crops suffering environmental constraints, including drought and salt stress. Although imaging is increasingly used to detect abiotic stress in agriculture, image-based phenotyping in grapevine still needs optimisation. This study presents the RGB-(...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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International Viticulture and Enology Society
2024-02-01
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| Series: | OENO One |
| Subjects: | |
| Online Access: | https://oeno-one.eu/article/view/7757 |
| _version_ | 1797316994867920896 |
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| author | Giuseppe Montanaro Nunzio Briglia Angelo Petrozza Antonio Carlomagno Laura Rustioni Francesco Cellini Vitale Nuzzo |
| author_facet | Giuseppe Montanaro Nunzio Briglia Angelo Petrozza Antonio Carlomagno Laura Rustioni Francesco Cellini Vitale Nuzzo |
| author_sort | Giuseppe Montanaro |
| collection | DOAJ |
| description | Grapevine is among the most economically important crops suffering environmental constraints, including drought and salt stress. Although imaging is increasingly used to detect abiotic stress in agriculture, image-based phenotyping in grapevine still needs optimisation. This study presents the RGB-(red, green, blue)-based phenotyping of the early stage of salt stress response in potted grapevine (Aleatico/SO4) irrigated with saline water (100 mM NaCl) for 9 days in contrast with vines irrigated with fresh water. The response was measured using stomatal conductance (gs), net photosynthetic rate (A), transpiration (E), maximum potential photosynthetic efficiency (Fv/Fm), stem water potential (SWP) concurrently with RGB imaging via a robotised platform.
The image-based phenotyping of salt-stressed vines employed two sets of measurements: (i) the pixel fraction of specific colour bands (Yellow, Green, Brown and Dark Green) and (ii) the mean pixel value of R, G and B and other RGB-based colorimetric indexes. Results show that the responses of gs, A, E, Fv/Fm were closely related to increasing soil electrical conductivity (EC) and that imaging could detect the EC threshold of approx. 4 dS m-1 causing a ~60 % decrease in these physiological traits compared to the pre-stress level. The SWP declined to about –0.7 MPa at the end of the experiment. The change of the relative pixel fraction of Dark Green to increasing EC has been analysed within a dose-response context, showing that a decrease of 1 % of the Dark Green colour band corresponded to the 4 dS m-1 EC threshold. This study also examined the use of the mean pixel value of the R, G and B channels as proxies of EC along with new RGB-based indexes resulting from the rearrangement of original R, G and B mean pixel values. Results show the suitability of the mean pixel value of R and Coloration Index [(R-B)/R] to serve as predictors of EC (R2 >= 0.80).
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| first_indexed | 2024-03-08T03:28:27Z |
| format | Article |
| id | doaj.art-77c27ff472c3426c92089be84348ea59 |
| institution | Directory Open Access Journal |
| issn | 2494-1271 |
| language | English |
| last_indexed | 2024-03-08T03:28:27Z |
| publishDate | 2024-02-01 |
| publisher | International Viticulture and Enology Society |
| record_format | Article |
| series | OENO One |
| spelling | doaj.art-77c27ff472c3426c92089be84348ea592024-02-11T14:31:29ZengInternational Viticulture and Enology SocietyOENO One2494-12712024-02-0158110.20870/oeno-one.2024.58.1.7757Image-based sensing of salt stress in grapevineGiuseppe Montanaro0https://orcid.org/0000-0002-1172-7526Nunzio Briglia1Angelo Petrozza2https://orcid.org/0000-0001-7933-0640Antonio Carlomagno3Laura Rustioni4Francesco Cellini5Vitale Nuzzo6https://orcid.org/0000-0002-4373-6363Università degli Studi della BasilicataUniversità degli Studi della BasilicataALSIA Centro Ricerche Metapontum Agrobios, s.s. Jonica 106, km 448,2, Metaponto, MT 75010Università degli Studi della BasilicataDepartment of Biological and Environmental Sciences and Technologies, University of Salento, LecceALSIA Centro Ricerche Metapontum Agrobios, s.s. Jonica 106, km 448,2, Metaponto, MT 75010Università degli Studi della BasilicataGrapevine is among the most economically important crops suffering environmental constraints, including drought and salt stress. Although imaging is increasingly used to detect abiotic stress in agriculture, image-based phenotyping in grapevine still needs optimisation. This study presents the RGB-(red, green, blue)-based phenotyping of the early stage of salt stress response in potted grapevine (Aleatico/SO4) irrigated with saline water (100 mM NaCl) for 9 days in contrast with vines irrigated with fresh water. The response was measured using stomatal conductance (gs), net photosynthetic rate (A), transpiration (E), maximum potential photosynthetic efficiency (Fv/Fm), stem water potential (SWP) concurrently with RGB imaging via a robotised platform. The image-based phenotyping of salt-stressed vines employed two sets of measurements: (i) the pixel fraction of specific colour bands (Yellow, Green, Brown and Dark Green) and (ii) the mean pixel value of R, G and B and other RGB-based colorimetric indexes. Results show that the responses of gs, A, E, Fv/Fm were closely related to increasing soil electrical conductivity (EC) and that imaging could detect the EC threshold of approx. 4 dS m-1 causing a ~60 % decrease in these physiological traits compared to the pre-stress level. The SWP declined to about –0.7 MPa at the end of the experiment. The change of the relative pixel fraction of Dark Green to increasing EC has been analysed within a dose-response context, showing that a decrease of 1 % of the Dark Green colour band corresponded to the 4 dS m-1 EC threshold. This study also examined the use of the mean pixel value of the R, G and B channels as proxies of EC along with new RGB-based indexes resulting from the rearrangement of original R, G and B mean pixel values. Results show the suitability of the mean pixel value of R and Coloration Index [(R-B)/R] to serve as predictors of EC (R2 >= 0.80). https://oeno-one.eu/article/view/7757Chlorophyll fluorescence, Dark Green, early detection, imaging, salinity, Vitis vinifera |
| spellingShingle | Giuseppe Montanaro Nunzio Briglia Angelo Petrozza Antonio Carlomagno Laura Rustioni Francesco Cellini Vitale Nuzzo Image-based sensing of salt stress in grapevine OENO One Chlorophyll fluorescence, Dark Green, early detection, imaging, salinity, Vitis vinifera |
| title | Image-based sensing of salt stress in grapevine |
| title_full | Image-based sensing of salt stress in grapevine |
| title_fullStr | Image-based sensing of salt stress in grapevine |
| title_full_unstemmed | Image-based sensing of salt stress in grapevine |
| title_short | Image-based sensing of salt stress in grapevine |
| title_sort | image based sensing of salt stress in grapevine |
| topic | Chlorophyll fluorescence, Dark Green, early detection, imaging, salinity, Vitis vinifera |
| url | https://oeno-one.eu/article/view/7757 |
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