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Integration between molecular and morphological markers for the exploitation of olive germoplasm (Olea europaea)
Authors:Marco D’Imperio  Vincenzo Viscosi  Maria-Teresa Scarano  Mariasilvia D’Andrea  Biagi Angelo Zullo  Fabio Pilla
Institution:1. Scientific and Technological Park “Moliseinnovazione S.C.p.A.”, Via F. De Sanctis snc, 86100, Campobasso, Italy;2. Laboratory of Analytical Technique and Proteomics, Research Laboratories, Catholic University, Largo A. Gemelli 1, 86100, Campobasso, Italy;3. Museo Erbario del Molise, Department of Science and Technology for the Environment and Territory, University of Molise, Contrada Fonte Lappone, I-86090, Pesche, Italy;4. Department of Animal, Plant and Environmental Sciences, University of Molise, Via F. De Sanctis snc, 86100, Campobasso, Italy;5. Institute of Plant Genetics (Research Division of Portici), National Council of Research, Via Università 133, Parco Gussone, 80055, Portici (NA), Italy
Abstract:Three olive cultivars (Oliva Nera di Colletorto, Noccioluta, and a probably a new local genotype) from two strictly related areas of Molise region (south-centre of Italy) were characterized by combining molecular data (eight SSRs analyzed on leaves) and morphological features (thirty-one parameters from leaves, drupes and pits). Both molecular and morphological analyses have shown a very good separation of the three endemic cultivars. A high correlation between morphological and molecular data was found using Mantel's test. The morphological traits of pits were less influenced by environmental pressure than the leaves and drupes; therefore, the pits are more affected by genetic control and might be considered a helpful tool for cultivar characterization and identification. Potential and limitations of three statistical models computed to perform cultivar identification by morphological measures is also discussed. We demonstrated that molecular and morphological analyses are useful for distinguishing new accessions and studying local varieties to preserve genetic diversity, even at small geographical scale in such an unequivocal way; hence the methodology could be proposed as a tool to discriminate widespread cultivars, with long genetic distances.
Keywords:Cultivar characterization  Morphological trait  SSR  Statistical analysis  Statistical model
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