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Research Article Open access CC BY 4.0

Analysis of Morphological Variability in Five Spontaneous Populations of Rubus ulmifolius Schott in Tunisia

Sonia Tabarki, Kaouther Mechergui, Soumaya Khaldi, Lamjed Toumi, Aly Raies

Asian Journal of Biology · pp. 1–9 · Published 19 Jul 2017

10.9734/AJOB/2017/34582

Abstract

Aim: To study the morphological variability among Rubus ulmifolius Schott populations, a comparative analysis was undertaken in five wild populations grown under different climatic conditions in Tunisia. Study Design: Morphological characterization using 10 quantitative traits concerning the morpho-metrical aspect of the shrub, the leaves and the inflorescences of 5 spontaneous populations of Rubus ulmifolius Schott. Place and Duration of Study: The provinces of Beja, Bizerte and Jendouba, Tunisia in June 2011. Methodology: Morphological traits were measured and evaluated separately on a representative population of shrub, leaf and inflorescence. For each site, we made fifteen individual measurements. A sample of one shrub, twenty adult leaves and four inflorescences per plant were evaluated and measured. Samples were collected from fifteen mother shrubs per population, that were separated from each other by more than 20 m to minimize the risk of sampling closely related individuals. Results: The ANOVA analysis as well as mean comparison of the morphological traits revealed a significant (P < 0.01) diversity for the majority of examined descriptors except, the number of flowers NFL (P=0,142) and the number of leaflets NF (P=0,119) which were not significantly different within and among the populations. Furthermore, in the multivariate analysis, the populations were separated into three different groups through the discriminating variables: Height of the shrub, leaf dimensions, weight of dry matter, height and weight of the inflorescence. Conclusion: The morphological variability exhibited by the Tunisian populations of Rubus ulmifolius Schott may be interpreted as relevant to the ecological plasticity and the physiological mechanisms. If Rubus morphology is partially due to environment, the divergences observed between these genetically differentiated populations suggest that the genetic systems that involve these phenotypes are under selection in the concerned environments. So adaptive morphological changes observed in these populations reveal probably the progress of evolutionary phenomena within Rubus ulmifolius Schott.

Morphological variability blackberry Rubus ANOVA PCA

References (16)

  1. 1 THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS [DOI]
  2. 2 Plant Ecological Strategies: Some Leading Dimensions of Variation Between Species [DOI]
  3. 3 Seedling survival and seed size: a synthesis of the literature [DOI]
  4. 4 Altitude trends in conifer leaf morphology and stable carbon isotope composition [DOI]
  5. 5 Antimicrobial activity against Helicobacter pylori strains and antioxidant properties of blackberry leaves (Rubus ulmifolius) and isolated compounds [DOI]
  6. 6 An examination of the ability of RAPD markers to determine the relationships within and between Rubus species [DOI]
  7. 7 Spatially dependent genetic diversity within and between colonies of wild raspberry Rubus idaeus detected using RAPD markers [DOI]
  8. 8 Genetic diversity of wild and cultivated Rubus species in Colombia using AFLP and SSR markers [DOI]
  9. 9 COMPUTED EFFECTS OF SPACING ON LIGHT INTERCEPTION AND DISTRIBUTION WITHIN HEDGEROW TREES IN RELATION TO PRODUCTIVITY [DOI]
  10. 10 Characterization of thornless Rubus glaucus in Colombia.
  11. 11 Molecular markers in Rubus (Rosaceae) research and breeding [DOI]
  12. 12 Identification of Raspberry Cultivars by Sequence Characterized Amplified Region DNA Analysis [DOI]
  13. 13 Blackberries and Raspberries [DOI]
  14. 14 Genetic divergence among apricot (Prunus armeniaca L.) genotypes of Kargil, Ladakh
  15. 15 Taxonomic update and Lucid key for introduced blackberry in Australia.
  16. 16 TRELLIS HEIGHT EFFECT ON THE PRODUCTION CHARACTERISTICS OF RASPBERRY [DOI]

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