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Discrimination of Myrtle Ecotypes from Di erent Geographic Areas According to Their Morphological Characteristics and Anthocyanins Composition

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URI: http://hdl.handle.net/10498/21841

DOI: 10.3390/plants8090328

ISSN: 2223-7747

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Author/s
Velasco González de Peredo, Ana; Vázquez Espinosa, Mercedes; Espada Bellido, Estrella; Ferreiro-González, Marta; Amores Arrocha, Antonio; Palma Lovillo, Miguel; Fernández Barbero, Gerardo; Jiménez-Cantizano, Ana
Date
2019-09
Department
Ingeniería Química y Tecnología de Alimentos; Química Analítica
Source
Plants 2019, 8(9), 328
Abstract
Myrtus communis L. is an evergreen shrub that produces berries with a high content in antioxidant compounds. Since these compounds have demonstrated a positive e ect on human health, the interest on berries and their usages has increased. However, environmental conditions may a ect the productivity of these species and consequently the quality of wild myrtle. Ecotypes from diverse geographical origins may result in significant variations in terms of bioactive compounds content as well as in chemical traits. For this reason, in this work ecotypes from two di erent localizations have been studied to determine if their di erences in morphological and anthocyanins traits can be attributed to their origin and the environmental characteristics of these locations. For this, chemometric analyses such as Hierarchical Cluster Analysis and Principal Component Analysis, were employed. The results showed di erences between the ecotypes depending on their location. In particular, myrtle berries from maritime zones present greater fruit size and amount of bioactive compounds, which means an improvement in the quality of the final product based on this raw material. It can be concluded that both morphological and anthocyanins traits are related to the location of the ecotype and allow selecting the best ecotype for the required applications.
Subjects
anthocyanins; chemometric methods; hierarchical cluster analysis; morphological parameters; Myrtus communis L.; phenolic compounds; principal component analysis
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Atribución 4.0 Internacional
This work is under a Creative Commons License Atribución 4.0 Internacional

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