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Comparison of selection methods for the establishment of a core collection using SSR markers for hazelnut (Corylus avellana L.) accessions from European germplasm repositories

Boccacci, P., Aramini, M., Ordidge, M., van Hintum, T. J. L., Torello Marinoni, D., Valentini, N., Sarraquigne, J.-P., Solar, A., Rovira, M., Bacchetta, L. and Botta, R. (2021) Comparison of selection methods for the establishment of a core collection using SSR markers for hazelnut (Corylus avellana L.) accessions from European germplasm repositories. Tree Genetics & Genomes, 17 (48). ISSN 1614-2950

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To link to this item DOI: 10.1007/s11295-021-01526-7

Abstract/Summary

Hazelnut (Corylus avellana L.) is one of the most important tree nut crops in Europe. Germplasm accessions are conserved in ex situ repositories, located in countries where hazelnut production occurs. In this work, we used ten simple sequence repeat (SSR) markers as the basis to establish a core collection representative of the hazelnut genetic diversity conserved in different European collections. A total of 480 accessions were used: 430 from ex situ collections and 50 landraces maintained on-farm. SSR analysis identified 181 genotypes, that represented our whole hazelnut germplasm collection (WHGC). Four approaches (utilizing MSTRAT, Power Core, and Core Hunter’s single- and multi-strategy) based on the maximization (M) strategy were used to determine the best sampling method. Core Hunter’s multi-strategy, optimizing both allele coverage (Cv) and Cavalli-Sforza and Edwards (Dce) distance with equal weight, outperformed the others and was selected as the best approach. The final core collection (Cv-Dce30) comprised 30 entries (16.6% of genotypes). It recovered all SSR alleles and preserved parameter variations when compared to WHGC. Entries represented all six gene pools obtained from the population structure analysis of WHGC, further confirming the representativeness of Cv-Dce30. Our findings contribute towards improving the conservation and management of European hazelnut genetic resources and could be used to optimize future research by identifying a minimum number of accessions on which to focus.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Agriculture, Policy and Development > Department of Crop Science
ID Code:101457
Publisher:Springer

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