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El Hamzaoui A.,Plant Breeding and Genetic Resources Unit | El Hamzaoui A.,Moulay Ismai University | Oukabli A.,Plant Breeding and Genetic Resources Unit | Moumni M.,Moulay Ismai University
Journal of Horticultural Science and Biotechnology | Year: 2015

The S-genotypes of 70 Moroccan almond [Prunus dulcis Miller (D.A. Webb)] accessions collected from different geographical regions of Morocco were determined using PCR and agarose gel electrophoresis. PCR was carried out using seven pairs of primers that amplified different regions of the self-incompatibility S-allele. The results showed that the majority of Moroccan almond accessions had heterozygous S-RNase genotypes, with a total of 109 bands. The sizes of the amplified bands were compared with known S-alleles in almond varieties and labelled accordingly. Alleles S1, S3, S11, and S13 occurred at the highest frequencies (23%, 15%, 12%, and 16%, respectively). Alleles S4, S9, and S27 were not observed in the samples examined, and allele S24 had the lowest occurrence (1%). Moreover, the Sf allele, responsible for self-compatibility in almond, was identified in three local accessions for the first time. The application of PCR to study the diversity of S-alleles in almond germplasm is discussed. © 2015, Headley Brothers Ltd. All rights reserved. Source


El Hamzaoui A.,Plant Breeding and Genetic Resources Unit | El Hamzaoui A.,Moulay Ismai University | Oukabli A.,Plant Breeding and Genetic Resources Unit | Moumni M.,Moulay Ismai University
Plant Genetic Resources: Characterisation and Utilisation | Year: 2014

In this study, 15 morphological traits and 16 microsatellite markers were used to assess the morphological variability and structure of 68 (33 local and 35 foreign) almond accessions (Prunus dulcis (Mill.) D.A. Webb). Extensive phenotypic diversity was found among the accessions, and results indicated a high variation in leaf and fruit traits. Varieties were separated into two distinct groups with a similarity coefficient of 0.761. Morphological traits were categorized by principal component analysis into five components, which explained 86.5% of the total variation. Nut and kernel traits were dominant in the two first components, accounting for 49.4% of the variation. By contrast, leaf traits accounted for 18.4% of the variation in the third component. The results of molecular analysis (Bayesian clustering approach) did not correspond to morphological groupings, and the second approach was more discriminate. The combination of both approaches revealed the richness among the collected plant materials, which will be useful in breeding programmes of this species. © 2014 NIAB. Source

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