Valorization of
 Pistacia lentiscus
 extracts from Morocco: phytochemistry and antibacterial activity

Hayani, Mouhcine; Byadi, Said; Benabbouha, Tariq; Kachmar, Mohamed Reda; Chafi, Mohammed; Aboulmouhajir, Aziz; Touriya, Zair

doi:10.1080/11263504.2023.2294914

Cited by 1 publication

(1 citation statement)

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“…Lentisk, or Mastic tree (Pistacia lentiscus L., Anacardiaceae) grows wild in Morocco, is named in Morocco as "Drou" or "Tidit (Ait Mohand et al, 2020); is widely endemic to the Mediterranean regions and distributed in the extreme ecosystems of the Mediterranean basin (Ait Mohand et al, 2020). It has a large geographical and bioclimatic distribution, extending from the humid to the arid areas (Hayani et al, 2023). It can be regarded as an oleaginous plant with a high oil yield estimated at around 40% (Trabelsi et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Study of Genetic Variability of the Mastic Tree (Pistacia lentiscus L.) in Moroccan Areas: Macro-Biochemical Characterization

Bouta,

El Rasafi,

Bouda

et al. 2024

Ecol. Eng. Environ. Technol.

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This study focuses on the characterization of the macro-biochemical composition of leaves of Pistacia lentiscus L. from 11 natural populations in Morocco, in order to allow genetic differentiation of this species. This characterization of the studied population allows research and identification of the most informative markers and analysis of relatedness between populations and their origin sites. The results of ANOVA showed that there were significant differences (p = 0.05) in total sugar content, dry matter content and fiber content between the studied populations. Organic matter, dry matter and total nitrogen contents were positively and significantly correlated with energy values (r = 0.92 and 0.962). In contrast, negative significant correlations were found between dry matter, minerals, fat content and carbohydrates (r = -0.217, -0.379). The results of principal component analysis showed that the 11 studied populations were dispersed among four groups, regardless of their geographical proximity. This grouping is confirmed by hierarchical classification

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