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

Author(s):Show less -

Magalhaes, Aida B. ^{[1, 2]} ; Senesi, Giorgio S. ^[3] ; Ranulfi, Anielle ^{[1, 4]} ; Massaiti, Thiago ^{[1, 4]} ; Marangoni, Bruno S. ^[5] ; da Silva, Marina Nery ^[1] ; Villas Boas, Paulino R. ^[1] ; Ferreira, Ednaldo ^[1] ; Novelli, Valdenice M. ^[6] ; Cristofani-Yaly, Mariangela ^[6] ; Milori, Debora M. B. P. ^[1]

Affiliation

^[1] Embrapa Instrumentat, BR-13560970 Sao Carlos, SP - Brazil

^[2] Agrorobotica, BR-13571512 Sao Carlos, SP - Brazil

^[3] CNR, Ist Sci & Tecnol Plasmi ISTP, Sede Bari, I-70126 Bari - Italy

^[4] Univ Sao Paulo, Sao Carlos Inst Phys, BR-13566590 Sao Carlos, SP - Brazil

^[5] Univ Fed Mato Grosso do Sul, Phys Inst, BR-79070900 Campo Grande, MS - Brazil

^[6] Ctr Citricultura Sylvio Moreira IAC CCSM, Inst Agron, BR-13490000 Cordeiropolis, SP - Brazil

• Document type: Journal article
• Source: Molecules; v. 26, n. 11 JUN 2021.
• Web of Science Citations: 0

Abstract

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. (AU)

• FAPESP's process: 11/18605-0 - Obtaining and evaluation of new varieties of scion and rootstock for citrus
• Grantee: Mariângela Cristofani-Yaly
• Support Opportunities: Research Projects - Thematic Grants