Morphological and Biochemical Characterization of Late-Season Varieties of Mandarin Growing in Spain under Homogeneous Growing Conditions

Author:

Maciá-Vázquez Alejandro Andy1ORCID,Núñez-Gómez Dámaris1ORCID,Martínez-Nicolás Juan José1ORCID,Legua Pilar1ORCID,Melgarejo Pablo1ORCID

Affiliation:

1. Centro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO-UMH), Miguel Hernández University, Ctra. Beniel km 3.2, 03312 Orihuela, Spain

Abstract

Mandarins are one of the most important citrus fruits in the world in terms of tons produced. The late-season varieties of mandarin have a great economic value due to their high production in a season with few mandarin varieties. The objective is to carry out a preliminary study of characterization and comparison of the morphological and biochemical properties of the late varieties ‘Afourer’, ‘Tango’, and ‘Orri’. The characterization consisted of physicochemical parameters related to the quality of the fruits, highlighting the total antioxidant activity using ABTS and DPPH, the organic acids and sugars using HPLC and the metabolomics of the juice by 1H-NMR. Afourer’ mandarins were heavier and larger (120.75 g, 67.60 mm) than the other two varieties studied. Mandarins of the ‘Orri’ variety showed a different organic acid profile compared to the other varieties studied, and a higher amount of sugars (13.49 g/100 mL). ‘Tango’ variety mandarins grown on the Forner-Alcaide rootstock stood out for having a larger weight (113.52 g), a more intense color, and a greater amount of phenolic compounds (966.85 mg AGE/L Forner) than the fruits grown on Citrus macrophylla. The metabolomics analysis showed that these mandarin varieties had mainly non-essential amino acids.

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference47 articles.

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3. Al-Saif, A.M., Abdel-Sattar, M., Eshra, D.H., Sas-Paszt, L., and Mattar, M.A. (2022). Predicting the Chemical Attributes of Fresh Citrus Fruits Using Artificial Neural Network and Linear Regression Models. Horticulturae, 8.

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