AFLP-BASED EVALUATION FOR TREE PRODUCTION OF EL- SHEIKH ZEWAIED PEACH CULTIVAR "SINAWI" (Prunus persica L.) IN NORTH SINAI, EGYPT
Abstract
Tree production considered the most economically important trait in Prunus persica that can be used directly to evaluate the overall tree performance. The genetic variability was assessed using fluorescently labelled AFLP-based genome scans to capture the loci under selection that are correlated to the production limitation beyond the environmental reasons within the cultivar Sinawi of P. persica L. Regression linear model defined the dependence of tree production on the number of side branches and a number of flowers as a direct indicator of tree production. A total of 801 F-AFLP polymorphic amplicons were scored with unbiased diversity (uHe) of 0.258, which reflects a low genetic pool from the sampled within locations. PCoA (Principal Coordinate Analysis) and STRUCTURE analysis showed a tendency to three sub-populations. Out of 801 F-AFLP loci, three outlier loci were identified as a putatively positive outlier to tree production trait. The statistical correlation of the Euclidean distance matrix between the three outlier's loci to the tree production trait found to exhibit increased differentiation among locations along with a decreased diversity within locations, prove their potential to be utilized as molecular genetic markers linkage to tree production in Sinawi cv.References
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