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Nitrogen concentration estimation in tomato leaves by VIS-NIR non-destructive spectroscopy.
Sensors (Basel). 2011; 11(6):6411-24.S

Abstract

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.

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Authors+Show Affiliations

Ulissi V
Department of Agricultural and Environmental Sciences, University of Perugia, Perugia, Italy. valentina.ulissi@yahoo.it
Antonucci F
No affiliation info available
Benincasa P
No affiliation info available
Farneselli M
No affiliation info available
Tosti G
No affiliation info available
Guiducci M
No affiliation info available
Tei F
No affiliation info available
Costa C
No affiliation info available
Pallottino F
No affiliation info available
Pari L
No affiliation info available
Menesatti P
No affiliation info available

MeSH

Biosensing TechniquesChemistry Techniques, AnalyticalChlorophyllEquipment DesignLeast-Squares AnalysisLightLycopersicon esculentumNitrogenPlant LeavesRegression AnalysisReproducibility of ResultsSpectrophotometrySpectroscopy, Near-Infrared

Pub Type(s)

Journal Article

Language

eng

PubMed ID

22163962

Citation

Ulissi, Valentina, et al. "Nitrogen Concentration Estimation in Tomato Leaves By VIS-NIR Non-destructive Spectroscopy." Sensors (Basel, Switzerland), vol. 11, no. 6, 2011, pp. 6411-24.
Ulissi V, Antonucci F, Benincasa P, et al. Nitrogen concentration estimation in tomato leaves by VIS-NIR non-destructive spectroscopy. Sensors (Basel). 2011;11(6):6411-24.
Ulissi, V., Antonucci, F., Benincasa, P., Farneselli, M., Tosti, G., Guiducci, M., Tei, F., Costa, C., Pallottino, F., Pari, L., & Menesatti, P. (2011). Nitrogen concentration estimation in tomato leaves by VIS-NIR non-destructive spectroscopy. Sensors (Basel, Switzerland), 11(6), 6411-24. https://doi.org/10.3390/s110606411
Ulissi V, et al. Nitrogen Concentration Estimation in Tomato Leaves By VIS-NIR Non-destructive Spectroscopy. Sensors (Basel). 2011;11(6):6411-24. PubMed PMID: 22163962.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Nitrogen concentration estimation in tomato leaves by VIS-NIR non-destructive spectroscopy. AU - Ulissi,Valentina, AU - Antonucci,Francesca, AU - Benincasa,Paolo, AU - Farneselli,Michela, AU - Tosti,Giacomo, AU - Guiducci,Marcello, AU - Tei,Francesco, AU - Costa,Corrado, AU - Pallottino,Federico, AU - Pari,Luigi, AU - Menesatti,Paolo, Y1 - 2011/06/16/ PY - 2011/04/07/received PY - 2011/06/07/revised PY - 2011/06/15/accepted PY - 2011/12/14/entrez PY - 2011/12/14/pubmed PY - 2012/6/23/medline KW - SAP test KW - SPAD chlorophyll meter readings KW - VIS-NIR KW - chemometry KW - leaf analysis KW - non-destructive KW - nutritional status KW - spectrophotometry KW - tomato leaf SP - 6411 EP - 24 JF - Sensors (Basel, Switzerland) JO - Sensors (Basel) VL - 11 IS - 6 N2 - 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. SN - 1424-8220 UR - https://www.unboundmedicine.com/medline/citation/22163962/Nitrogen_concentration_estimation_in_tomato_leaves_by_VIS_NIR_non_destructive_spectroscopy_ L2 - https://www.mdpi.com/resolver?pii=s110606411 DB - PRIME DP - Unbound Medicine ER -