Developing a core collection of olive (Olea europaea L.) based on molecular markers (DArTs, SSRs, SNPs) and agronomic traits

Belaj, A. et al.

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Main Authors: Belaj, Angjelina, Atienza, Sergio G., Martín, Antonio, Río Rincón, C. del
Format: artículo biblioteca
Language:English
Published: Springer 2012-04
Online Access:http://hdl.handle.net/10261/87318
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spelling dig-ias-es-10261-873182018-08-02T11:47:44Z Developing a core collection of olive (Olea europaea L.) based on molecular markers (DArTs, SSRs, SNPs) and agronomic traits Belaj, Angjelina Atienza, Sergio G. Martín, Antonio Río Rincón, C. del Belaj, A. et al. Molecular markers (SSR, SNP and DArT) and agronomical traits have been used in the world's largest olive (Olea europaea L.) germplasm collection (IFAPA, Centre Alameda del Obispo, Cordoba, Spain) to study the patterns of genetic diversity and underlying genetic structure among 361 olive accessions. In addition the marker data were used to construct a set of core collections by means of two different algorithms (MSTRAT and PowerCore) based on M (maximization) strategy. Our results confirm that the germplasm collection is a useful source of genetically diverse material. We also found that geographical origin is an important factor structuring genetic diversity in olive. Subsets of 18, 27, 36, 45 and 68 olive accessions, representing respectively 5%, 7. 5%, 10%, 12. 5% and 19% of the whole germplasm collection, were selected based on the information obtained by all the data set as well as each marker type considered individually. According to our results, the core collections that represent between 19% and 10% of the total collection size could be considered as optimal to retain the bulk of the genetic diversity found in this collection. Due to its high efficiency at capturing all the alleles/traits states found in the whole collection, the core size of 68 accessions could be of special interest for genetic conservation applications in olive. The high average genetic distance and diversity and the almost equal representation of accessions from different geographical regions indicate that the core size of 36 accessions, could be the working collection for olive breeders. © 2011 Springer-Verlag. The present work was partly supported by Fundación Genoma España, Junta de Andalucia through Instituto de Investigación y Formación Agraria y Pesquera and Corporación Tecnológica de Andalucía. Peer Reviewed 2013-11-22T11:50:57Z 2013-11-22T11:50:57Z 2012-04 2013-11-22T11:50:58Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.1007/s11295-011-0447-6 issn: 1614-2942 e-issn: 1614-2950 Tree Genetics and Genomes 8(2): 365-378 (2012) http://hdl.handle.net/10261/87318 10.1007/s11295-011-0447-6 en none Springer
institution IAS ES
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country España
countrycode ES
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libraryname Biblioteca del IAS España
language English
description Belaj, A. et al.
format artículo
author Belaj, Angjelina
Atienza, Sergio G.
Martín, Antonio
Río Rincón, C. del
spellingShingle Belaj, Angjelina
Atienza, Sergio G.
Martín, Antonio
Río Rincón, C. del
Developing a core collection of olive (Olea europaea L.) based on molecular markers (DArTs, SSRs, SNPs) and agronomic traits
author_facet Belaj, Angjelina
Atienza, Sergio G.
Martín, Antonio
Río Rincón, C. del
author_sort Belaj, Angjelina
title Developing a core collection of olive (Olea europaea L.) based on molecular markers (DArTs, SSRs, SNPs) and agronomic traits
title_short Developing a core collection of olive (Olea europaea L.) based on molecular markers (DArTs, SSRs, SNPs) and agronomic traits
title_full Developing a core collection of olive (Olea europaea L.) based on molecular markers (DArTs, SSRs, SNPs) and agronomic traits
title_fullStr Developing a core collection of olive (Olea europaea L.) based on molecular markers (DArTs, SSRs, SNPs) and agronomic traits
title_full_unstemmed Developing a core collection of olive (Olea europaea L.) based on molecular markers (DArTs, SSRs, SNPs) and agronomic traits
title_sort developing a core collection of olive (olea europaea l.) based on molecular markers (darts, ssrs, snps) and agronomic traits
publisher Springer
publishDate 2012-04
url http://hdl.handle.net/10261/87318
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