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Nitrogen Concentration Estimation in Tomato Leaves by VIS-NIR Non-Destructive Spectroscopy
Nitrogen concentration in plants is normally determined by expensive and time consuming chemical analyses. As an alternative, chlorophyll meter readings and N-NO(3) concentration determination in petiole sap were proposed, but these assays are not always satisfactory. Spectral reflectance values of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Molecular Diversity Preservation International (MDPI)
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231448/ https://www.ncbi.nlm.nih.gov/pubmed/22163962 http://dx.doi.org/10.3390/s110606411 |
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author | Ulissi, Valentina Antonucci, Francesca Benincasa, Paolo Farneselli, Michela Tosti, Giacomo Guiducci, Marcello Tei, Francesco Costa, Corrado Pallottino, Federico Pari, Luigi Menesatti, Paolo |
author_facet | Ulissi, Valentina Antonucci, Francesca Benincasa, Paolo Farneselli, Michela Tosti, Giacomo Guiducci, Marcello Tei, Francesco Costa, Corrado Pallottino, Federico Pari, Luigi Menesatti, Paolo |
author_sort | Ulissi, Valentina |
collection | PubMed |
description | Nitrogen concentration in plants is normally determined by expensive and time consuming chemical analyses. As an alternative, chlorophyll meter readings and N-NO(3) concentration determination in petiole sap were proposed, but these assays are not always satisfactory. Spectral reflectance values of tomato leaves obtained by visible-near infrared spectrophotometry are reported to be a powerful tool for the diagnosis of plant nutritional status. The aim of the study was to evaluate the possibility and the accuracy of the estimation of tomato leaf nitrogen concentration performed through a rapid, portable and non-destructive system, in comparison with chemical standard analyses, chlorophyll meter readings and N-NO(3) concentration in petiole sap. Mean reflectance leaf values were compared to each reference chemical value by partial least squares chemometric multivariate methods. The correlation between predicted values from spectral reflectance analysis and the observed chemical values showed in the independent test highly significant correlation coefficient (r = 0.94). The utilization of the proposed system, increasing efficiency, allows better knowledge of nutritional status of tomato plants, with more detailed and sharp information and on wider areas. More detailed information both in space and time is an essential tool to increase and stabilize crop quality levels and to optimize the nutrient use efficiency. |
format | Online Article Text |
id | pubmed-3231448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32314482011-12-07 Nitrogen Concentration Estimation in Tomato Leaves by VIS-NIR Non-Destructive Spectroscopy Ulissi, Valentina Antonucci, Francesca Benincasa, Paolo Farneselli, Michela Tosti, Giacomo Guiducci, Marcello Tei, Francesco Costa, Corrado Pallottino, Federico Pari, Luigi Menesatti, Paolo Sensors (Basel) Article Nitrogen concentration in plants is normally determined by expensive and time consuming chemical analyses. As an alternative, chlorophyll meter readings and N-NO(3) concentration determination in petiole sap were proposed, but these assays are not always satisfactory. Spectral reflectance values of tomato leaves obtained by visible-near infrared spectrophotometry are reported to be a powerful tool for the diagnosis of plant nutritional status. The aim of the study was to evaluate the possibility and the accuracy of the estimation of tomato leaf nitrogen concentration performed through a rapid, portable and non-destructive system, in comparison with chemical standard analyses, chlorophyll meter readings and N-NO(3) concentration in petiole sap. Mean reflectance leaf values were compared to each reference chemical value by partial least squares chemometric multivariate methods. The correlation between predicted values from spectral reflectance analysis and the observed chemical values showed in the independent test highly significant correlation coefficient (r = 0.94). The utilization of the proposed system, increasing efficiency, allows better knowledge of nutritional status of tomato plants, with more detailed and sharp information and on wider areas. More detailed information both in space and time is an essential tool to increase and stabilize crop quality levels and to optimize the nutrient use efficiency. Molecular Diversity Preservation International (MDPI) 2011-06-16 /pmc/articles/PMC3231448/ /pubmed/22163962 http://dx.doi.org/10.3390/s110606411 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Ulissi, Valentina Antonucci, Francesca Benincasa, Paolo Farneselli, Michela Tosti, Giacomo Guiducci, Marcello Tei, Francesco Costa, Corrado Pallottino, Federico Pari, Luigi Menesatti, Paolo Nitrogen Concentration Estimation in Tomato Leaves by VIS-NIR Non-Destructive Spectroscopy |
title | Nitrogen Concentration Estimation in Tomato Leaves by VIS-NIR Non-Destructive Spectroscopy |
title_full | Nitrogen Concentration Estimation in Tomato Leaves by VIS-NIR Non-Destructive Spectroscopy |
title_fullStr | Nitrogen Concentration Estimation in Tomato Leaves by VIS-NIR Non-Destructive Spectroscopy |
title_full_unstemmed | Nitrogen Concentration Estimation in Tomato Leaves by VIS-NIR Non-Destructive Spectroscopy |
title_short | Nitrogen Concentration Estimation in Tomato Leaves by VIS-NIR Non-Destructive Spectroscopy |
title_sort | nitrogen concentration estimation in tomato leaves by vis-nir non-destructive spectroscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231448/ https://www.ncbi.nlm.nih.gov/pubmed/22163962 http://dx.doi.org/10.3390/s110606411 |
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