Lisianthus (Eustoma grandiflorum) leaf degradation analysis in the postharvest by VIS-NIR-SWIR reflectance spectroscopy

Author(s)

Thuane Katiúcia Moreira Barbosa ^[1] ; Peterson Ricardo Fiorio ^[2] ; Cristiane Calaboni ^[3] ; Ricardo Alfredo Kluge ^[4] ; José Alexandre Melo Demattê ^[5] ; Claudia Fabrino Machado Mattiuz ^[6] ; Carlos Augusto Alves Cardoso Silva ^[7] ; Natália Correr Ré ^[8]

Affiliation

^[1] Universidade de São Paulo (USP). Superior de Agricultura “Luiz de Queiroz”. Departamento de Engenharia de Biossistemas - Brasil

^[2] Universidade de São Paulo (USP). Superior de Agricultura “Luiz de Queiroz”. Departamento de Engenharia de Biossistemas - Brasil

^[3] Universidade de São Paulo (USP). Escola Superior de Agricultura “Luiz de Queiroz”. Departamento de Produção Vegetal - Brasil

^[4] Universidade de São Paulo (USP). Escola Superior de Agricultura “Luiz de Queiroz”. Departamento de Produção Vegetal - Brasil

^[5] Universidade de São Paulo (USP). Escola Superior de Agricultura “Luiz de Queiroz”. Departamento de Ciência do Solo - Brasil

^[6] Universidade de São Paulo (USP). Escola Superior de Agricultura “Luiz de Queiroz”. Departamento de Produção Vegetal - Brasil

^[7] Universidade de São Paulo (USP). Superior de Agricultura “Luiz de Queiroz”. Departamento de Engenharia de Biossistemas - Brasil

^[8] Universidade de São Paulo (USP). Superior de Agricultura “Luiz de Queiroz”. Departamento de Engenharia de Biossistemas - Brasil

• Document type: Journal article
• Source: Ciência Rural; v. 54, n. 9 2024-04-15.

Abstract

ABSTRACT: It is known that floriculture is very important for the world economic scenario. Nevertheless, the vase life of cut flowers is determined by a short time span. This study evaluated the spectral behavior during leaf degradation of lisianthus (Eustoma grandiflorum) flower stems in the postharvest, in different preservative solutions, and estimating its leaf pigments by hyperspectral data. Lisianthus floral stems were subjected to preservative solutions with different concentrations of sucrose, glucose, phytohormones and deionized water. Leaves from these stems were collected every 4 days for further hyperspectral analysis. Spectra was determined in laboratory with a sensor collecting at the range of 350-2500 nm. In order to analyze the use of the spectra to detect the performance of the preservative solutions, statistical tests were used at each wavelength. Pigment prediction was assessed by the CAR/CLF ratio (Ratio between Carotenoids and Chlorophyll) from the spectral curves, using PLSR and RRMSE. The glucose-based solutions registered positive effects on the preservation of floral stems, especially at the dose of 180 g/L. The solutions based on sucrose and phytohormones registered similarities in the spectral curves among the doses, demonstrating equality in leaf preservation. The discriminant analyses demonstrated there was statistical difference in the spectral responses in the doses for each solution used. The CAR/CLF ratio had reasonable coefficients of 0.6 and RRMSE below 6.99%. The hyperspectral analyses presented a potential for the evaluation of leaf degradation in lisianthus floral stems in different pulsing solutions used in the postharvest. (AU)

• FAPESP's process: 13/22435-9 - Hyperspectral data use for prediction of leaf nitrogen content in sugarcane
• Grantee: Peterson Ricardo Fiorio
• Support Opportunities: Program for Research on Bioenergy (BIOEN) - Regular Program Grants