Rapid quantification of alkaloids, sugar and yield of tobacco (Nicotiana tabacum L.) varieties by using Vis-NIR-SWIR spectroradiometry.

Marlon Rodrigues, Roney Berti de Oliveira, Glaucio Leboso Alemparte Abrantes Dos Santos, Karym Mayara de Oliveira, Amanda Silveira Reis, Renato Herrig Furlanetto, Luiz Antônio Yanes Bernardo Júnior, Fabrício Silva Coelho, Marcos Rafael Nanni

Journal: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy 2022;274():121082

PMID: 35248861

Abstract

Tobacco genetic improvement programs, as well as the tobacco industry, require techniques that allow the estimation of its attributes in a fast and cheap way. The use of remote sensing through visible, near infrared and short-wave spectroscopy (Vis-NIR-SWIR) has been studied aiming to meet such demand. Thus, the aim of this work was to evaluate the use of Vis-NIR-SWIR spectroradiometer as a rapid tool to estimate alkaloids, sugars and yield of tobacco varieties. For that purpose, a study was carried out in a greenhouse with plants grown in pots (18 dm) containing nutrient solutions. The experimental design was completely randomized, with 30 treatments (tobacco varieties) and 10 repetitions. Tobacco leaf reflectance was collected at 13, 34 and 68 days after transplantation (DAT) with a plant-probe device connected to the spectroradiometer by an optical fiber. Subsequently, leaf analysis of alkaloids, sugars and yield were performed, and such attributes were estimated by using the Partial Least Squares Regression (PLSR), combined with the following pre-processing (PP) techniques: multiplicative scatter correction (MSC), Savitzky-Golay (SG) and standard normal variate (SNV). The results showed presence of typical inflections of chemical and structural components of the plants, which allowed obtaining PLSR models with R and RPD superior to 0.71 and 2.27, respectively, for all PP techniques and attributes evaluated. The most important wavelengths were well distributed within the three operating ranges of the spectroradiometer (Vis-NIR-SWIR). Thus, the methodology proposed by this research was able to simultaneously determine all the three attributes (alkaloids, sugars and yield) with excellent predictive capacity. This is a promising result for genetic improvement and processing of tobacco (as well as other crops), since it is necessary to evaluate a large number of samples within a short period and at a low cost.

Copyright © 2022 Elsevier B.V. All rights reserved.

Address: Department of Agronomy, State University of Maringá, Maringá, Brazil. Electronic address: [email protected].; Department of Agronomy, State University of Maringá, Maringá, Brazil.; Researcher Global Leaf R&D, British American Tobacco, Brazil.

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