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Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics
One of the main challenges facing the development of aquaponics is disease control, due on one hand to the fact that plants cannot be treated with chemicals because they can lead to mortality in cultured fish. The aim of this study was to apply the visible–near-infrared spectroscopy and vegetation i...
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/PMC10537723/ https://www.ncbi.nlm.nih.gov/pubmed/37764192 http://dx.doi.org/10.3390/microorganisms11092348 |
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author | Sirakov, Ivaylo Velichkova, Katya Dinev, Toncho Slavcheva-Sirakova, Desislava Valkova, Elica Yorgov, Dimitar Veleva, Petya Atanasov, Vasil Atanassova, Stefka |
author_facet | Sirakov, Ivaylo Velichkova, Katya Dinev, Toncho Slavcheva-Sirakova, Desislava Valkova, Elica Yorgov, Dimitar Veleva, Petya Atanasov, Vasil Atanassova, Stefka |
author_sort | Sirakov, Ivaylo |
collection | PubMed |
description | One of the main challenges facing the development of aquaponics is disease control, due on one hand to the fact that plants cannot be treated with chemicals because they can lead to mortality in cultured fish. The aim of this study was to apply the visible–near-infrared spectroscopy and vegetation index approach to test aquaponically cultivated lettuce (Lactuca sativa L.) infected with different fungal pathogens (Aspergillus niger, Fusarium oxysporum, and Alternaria alternata). The lettuces on the third leaf formation were placed in tanks (with dimensions 1 m/0.50 m/0.35 m) filled up with water from the aquaponics system every second day. In this study, we included reference fungal strains Aspergillus niger NBIMCC 3252, Fusarium oxysporum NBIMCC 125, and Alternaria alternata NBIMCC 109. Diffuse reflectance spectra of the leaves of lettuce were measured directly on the plants using a USB4000 spectrometer in the 450–1100 nm wavelength range. In near-infrared spectral range, the reflectance values of infected leaves are lower than those of the control, which indicates that some changes in cell structures occurred as a result of the fungal infection. All three investigated pathogens had a statistically significant effect on leaf water content and water band index. Vegetative indices such as Chlorophyll Absorption in Reflectance Index (CARI), Modified chlorophyll absorption in reflectance index (MCARI), Plant Senescence Reflectance Index (PSRI), Red Edge Index (REI2), Red Edge Index (REI3), and Water band index (WBI) were found to be effective in distinguishing infected plants from healthy ones, with WBI demonstrating the greatest reliability. |
format | Online Article Text |
id | pubmed-10537723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105377232023-09-29 Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics Sirakov, Ivaylo Velichkova, Katya Dinev, Toncho Slavcheva-Sirakova, Desislava Valkova, Elica Yorgov, Dimitar Veleva, Petya Atanasov, Vasil Atanassova, Stefka Microorganisms Article One of the main challenges facing the development of aquaponics is disease control, due on one hand to the fact that plants cannot be treated with chemicals because they can lead to mortality in cultured fish. The aim of this study was to apply the visible–near-infrared spectroscopy and vegetation index approach to test aquaponically cultivated lettuce (Lactuca sativa L.) infected with different fungal pathogens (Aspergillus niger, Fusarium oxysporum, and Alternaria alternata). The lettuces on the third leaf formation were placed in tanks (with dimensions 1 m/0.50 m/0.35 m) filled up with water from the aquaponics system every second day. In this study, we included reference fungal strains Aspergillus niger NBIMCC 3252, Fusarium oxysporum NBIMCC 125, and Alternaria alternata NBIMCC 109. Diffuse reflectance spectra of the leaves of lettuce were measured directly on the plants using a USB4000 spectrometer in the 450–1100 nm wavelength range. In near-infrared spectral range, the reflectance values of infected leaves are lower than those of the control, which indicates that some changes in cell structures occurred as a result of the fungal infection. All three investigated pathogens had a statistically significant effect on leaf water content and water band index. Vegetative indices such as Chlorophyll Absorption in Reflectance Index (CARI), Modified chlorophyll absorption in reflectance index (MCARI), Plant Senescence Reflectance Index (PSRI), Red Edge Index (REI2), Red Edge Index (REI3), and Water band index (WBI) were found to be effective in distinguishing infected plants from healthy ones, with WBI demonstrating the greatest reliability. MDPI 2023-09-20 /pmc/articles/PMC10537723/ /pubmed/37764192 http://dx.doi.org/10.3390/microorganisms11092348 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 Sirakov, Ivaylo Velichkova, Katya Dinev, Toncho Slavcheva-Sirakova, Desislava Valkova, Elica Yorgov, Dimitar Veleva, Petya Atanasov, Vasil Atanassova, Stefka Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics |
title | Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics |
title_full | Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics |
title_fullStr | Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics |
title_full_unstemmed | Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics |
title_short | Detection of Fungal Diseases in Lettuce by VIR-NIR Spectroscopy in Aquaponics |
title_sort | detection of fungal diseases in lettuce by vir-nir spectroscopy in aquaponics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537723/ https://www.ncbi.nlm.nih.gov/pubmed/37764192 http://dx.doi.org/10.3390/microorganisms11092348 |
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