Morocco, like the other Mediterranean countries, is characterized by a great diversity of indigenous varieties of vines "Vitis vinifera ssp. vinifera", taking advantage of the climate and also of the heterogeneity of their landscapes Without forgetting, the know-how and agricultural practices adopted by traditional farmers who have contributed in one way or another to preserve the genetic diversity of these indigenous grape varieties. Within the framework of this study, we are seeking the identification and characterization of 36 indigenous grape varieties sampled in the north and south of Morocco. The samples studied were taken from traditional vineyards in these regions. For the ampelographic and ampelometric description, 26 characters were used according to a list of descriptors developed by the International Organization of Vine and Wine (OIV). Thus, the ampelographic and ampelometric approach were refined by a principal component analysis (PCA) which made it possible to group the grape varieties into five distinct groups according to their correlations to the variables linked to the bunch, the berry and the seed. The results obtained from these different approaches confirmed the presence of great inter-grape and intra-grape variability within the samples studied. This observation leads us to make more efforts to maintain this variability and to fight against genetic erosion and the threat of environmental changes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.