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Articles by F. Guesmi
Total Records ( 3 ) for F. Guesmi
  L. Touil , F. Guesmi , K. Fares , C. Zagrouba and A. Ferchichi
  The objective of this study was to investigate the differentiation level among 35 populations in which 20 are locals originating from the Tunisian South and 15 introduced from Italy, Australy, France and Morocco with morphologicals traits and mineral composition. The tenors of sodium, potassium and phosphorus were determined. Diversity according to the mineral composition and morphologicals characters inter populations were analyzed by two statistical procedures, Hierarchical classification and Correspondence Factorial Analysis. Its conclude that the local`s populations were adapted at worst conditions in South Tunisian.
  L. Touil , F. Guesmi , K. Fares and A. Ferchichi
  The genetic diversity within 29 populations, when 15 populations are local originating in the Tunisian south and 12 introduced of Italy, Austerely, France and Morocco, was analysed by ISSR markers (Inter Simple Repeat sequence). The genetic similarity between these various populations is estimated by the index of Rogers and Tanimoto. Genetic diversity is analyzed by one statistical procedure: hierarchical classification. The total number of bands varied between the various populations from 9-16. The percentage of total polymorphism is about 60%. Four large groups were obtained.
  L. Touil , F. Guesmi , K. Fares , C. Zagrouba and A. Ferchichi
  This species study was to investigate the differentiation level among 26 populations wich 12 are locals originating from the Tunisian South and 14 introduced from Italy, Austerely, France and Morocco with two SSR markers. These highly polymorphic and co dominant markers, together with recent population genetic statistic extended to autotetraploids, offer tools to analyse genetic diversity in alfalfa. The number of alleles per locus varied between 8 and 9. The genetic similarity between these various populations is estimated by the index of Rogers and Tanimoto. Genetic diversity is analysed by two statistical procedures: Hierarchical classification and Correspondence Factorial Analysis (CFA). Four large groups were obtained.
 
 
 
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