Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ulissi, Valentina, Antonucci, Francesca, Benincasa, Paolo, Farneselli, Michela, Tosti, Giacomo, Guiducci, Marcello, Tei, Francesco, Costa, Corrado, Pallottino, Federico, Pari, Luigi, Menesatti, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
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
_version_ 1782218224271622144
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
work_keys_str_mv AT ulissivalentina nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT antonuccifrancesca nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT benincasapaolo nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT farnesellimichela nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT tostigiacomo nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT guiduccimarcello nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT teifrancesco nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT costacorrado nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT pallottinofederico nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT pariluigi nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy
AT menesattipaolo nitrogenconcentrationestimationintomatoleavesbyvisnirnondestructivespectroscopy