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Articles

THE SICILIAN OLIVE GERMPLASM AND ITS CHARACTERIZATION BY USING STATISTICAL METHODS

Article number
356_13
Pages
66 – 69
Language
Abstract
Fruit, pit and leaf biometric characters were evaluated for their ability to discriminate olive cultivars.
Recordings from 25 indigenous Sicilian cultivars were used.
Data showed a large amount of variability among the accessions that can be considered as a valuable source of genetic traits for breeding programmes.
Discriminant functions calculated using fruit characters classified correctly 87% of the observations but only less than 50% using leaf and leaf colour.
No identities between cultivars were detected.
Principal components analysis on the between-cultivars correlation matrix for all variables extracted 6 unrelated variables explaining >95% of total variance and showed few patterns of similarities between cultivars.

Publication
Authors
E. Barone, L. Di Marco, A. Motisi, T. Caruso
Keywords
Full text
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