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Evaluation of the Nutritional Changes Caused by Huanglongbing (HLB) to Citrus Plants Using Laser-Induced Breakdown Spectroscopy.
Ranulfi, Anielle Coelho; Romano, Renan Arnon; Bebeachibuli Magalhães, Aida; Ferreira, Ednaldo José; Ribeiro Villas-Boas, Paulino; Marcondes Bastos Pereira Milori, Débora.
Afiliación
  • Ranulfi AC; 1 Embrapa Instrumentation, São Carlos, SP, Brazil.
  • Romano RA; 2 São Carlos Institute of Physics, University of São Paulo, São Carlos, SP, Brazil.
  • Bebeachibuli Magalhães A; 1 Embrapa Instrumentation, São Carlos, SP, Brazil.
  • Ferreira EJ; 2 São Carlos Institute of Physics, University of São Paulo, São Carlos, SP, Brazil.
  • Ribeiro Villas-Boas P; 1 Embrapa Instrumentation, São Carlos, SP, Brazil.
  • Marcondes Bastos Pereira Milori D; 1 Embrapa Instrumentation, São Carlos, SP, Brazil.
Appl Spectrosc ; 71(7): 1471-1480, 2017 Jul.
Article en En | MEDLINE | ID: mdl-28447856
Huanglongbing (HLB) is the most recent and destructive bacterial disease of citrus and has no cure yet. A promising alternative to conventional methods is to use laser-induced breakdown spectroscopy (LIBS), a multi-elemental analytical technique, to identify the nutritional changes provoked by the disease to the citrus leaves and associate the mineral composition profile with its health status. The leaves were collected from adult citrus trees and identified by visual inspection as healthy, HLB-symptomatic, and HLB-asymptomatic. Laser-induced breakdown spectroscopy measurements were done in fresh leaves without sample preparation. Nutritional variations were evaluated using statistical tools, such as Student's t-test and analysis of variance applied to LIBS spectra, and the largest were found for Ca, Mg, and K. Considering the nutritional profile changes, a classifier induced by classification via regression combined with partial least squares regression was built resulting in an accuracy of 73% for distinguishing the three categories of leaves.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de las Plantas / Análisis Espectral / Citrus / Hojas de la Planta Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Appl Spectrosc Año: 2017 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de las Plantas / Análisis Espectral / Citrus / Hojas de la Planta Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Appl Spectrosc Año: 2017 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos