Discrimination of Genetically Very Close Accessions of Sweet Orange (Citrus sinensis L. Osbeck) by Laser-Induced Breakdown Spectroscopy (LIBS)

Autor: Thiago Massaiti, Aida Bebeachibuli Magalhães, Valdenice M. Novelli, A. C. Ranulfi, Giorgio S. Senesi, Bruno S. Marangoni, Mariângela Cristofani-Yaly, P. R. V. Boas, Ednaldo José Ferreira, Marina Nery da Silva, Débora Marcondes Bastos Pereira Milori
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Molecules
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Molecules (Basel, Online) 26 (2021): 3092-1–3092-19. doi:10.3390/molecules26113092
info:cnr-pdr/source/autori:Magalhaes A.B.; Senesi G.S.; Ranulfi A.; Massaiti T.; Marangoni B.S.; Da Silva M.N.; Villas Boas P.R.; Ferreira E.; Novelli V.M.; Cristofani-Yaly M.; Milori D.M.B.P./titolo:Discrimination of genetically very close accessions of sweet orange (Citrus sinensis l. osbeck) by laser-induced breakdown spectroscopy (libs)/doi:10.3390%2Fmolecules26113092/rivista:Molecules (Basel, Online)/anno:2021/pagina_da:3092-1/pagina_a:3092-19/intervallo_pagine:3092-1–3092-19/volume:26
Molecules, Vol 26, Iss 3092, p 3092 (2021)
Volume 26
Issue 11
ISSN: 1420-3049
DOI: 10.3390/molecules26113092
Popis: The correct recognition of sweet orange (Citrus sinensis L. Osbeck) variety accessions at the nursery stage of growth is a challenge for the productive sector as they do not show any difference in phenotype traits. Furthermore, there is no DNA marker able to distinguish orange accessions within a variety due to their narrow genetic trace. As different combinations of canopy and rootstock affect the uptake of elements from soil, each accession features a typical elemental concentration in the leaves. Thus, the main aim of this work was to analyze two sets of ten different accessions of very close genetic characters of three varieties of fresh citrus leaves at the nursery stage of growth by measuring the differences in elemental concentration by laser-induced breakdown spectroscopy (LIBS). The accessions were discriminated by both principal component analysis (PCA) and a classifier based on the combination of classification via regression (CVR) and partial least square regression (PLSR) models, which used the elemental concentrations measured by LIBS as input data. A correct classification of 95.1% and 80.96% was achieved, respectively, for set 1 and set 2. These results showed that LIBS is a valuable technique to discriminate among citrus accessions, which can be applied in the productive sector as an excellent cost–benefit tool in citrus breeding programs.
Databáze: OpenAIRE
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