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Genomic prediction in a multi-generation Eucalyptus globulus breeding population

hal.structure.identifierAmélioration génétique et adaptation des plantes méditerranéennes et tropicales [UMR AGAP]
dc.contributor.authorHARISTOY, Geoffrey
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorBOUFFIER, Laurent
hal.structure.identifierAltri Florestal
dc.contributor.authorFONTES, Luis
hal.structure.identifierAltri Florestal
dc.contributor.authorLEAL, Luis
hal.structure.identifierAssociaçao CECOLAB
hal.structure.identifierInstituto de Biologia Experimental e Tecnológica [IBET]
dc.contributor.authorPAIVA, Jorge
hal.structure.identifierAltri Florestal
dc.contributor.authorPINA, João-Pedro
hal.structure.identifierAmélioration génétique et adaptation des plantes méditerranéennes et tropicales [UMR AGAP]
dc.contributor.authorGION, Jean-Marc
dc.date.issued2023-02
dc.identifier.issn1614-2942
dc.description.abstractEnGenomic selection is a promising approach for reducing the length of the selection cycle in forest tree breeding. Its efficiency must be evaluated across generations for this purpose, but such studies have been performed for multi-generational breeding programmes in only a few forest tree species to date. We analysed a subset of the Eucalyptus globulus breeding population from the Portuguese company Altri Florestal. In total, 412 genotypes from three successive breeding generations were genotyped with 14,716 SNP markers. A comparison of pedigree-based and marker-based relationship coefficients allowed to correct several documented pedigree errors. Deregressed breeding values were estimated from phenotypic records for growth traits (height and diameter) and survival for 31 field trials distributed in one breeding zone in Portugal and used as pseudo-phenotypes for genomic prediction models. Accuracy was assessed by cross-validation according to two main scenarios: (i) a scenario based on a five random fold number, not taking generation into account, and (ii) scenarios investigating progeny validation using parental generations to predict the progenies. Accuracy was highest after pedigree correction and ranged from 0.46 to 0.60 for the first scenario, from - 0.56 to 0.72 for parent/progeny scenarios and from 0.33 to 0.79 when progenies were added to the calibration population. This genomic selection study provides promising insight for the Altri Florestal Eucalyptus breeding programme.
dc.language.isoen
dc.publisherSpringer Verlag
dc.subject.enEucalyptus globulus; Genomic selection; GBLUP; Progeny validation; Pedigree error; Breeding programme
dc.title.enGenomic prediction in a multi-generation Eucalyptus globulus breeding population
dc.typeArticle de revue
dc.identifier.doi10.1007/s11295-022-01579-2
dc.subject.halSciences du Vivant [q-bio]/Sciences agricoles
dc.description.sponsorshipEuropeAdaptive BREEDING for productive, sustainable and resilient FORESTs under climate change
bordeaux.journalTree Genetics and Genomes
bordeaux.page8
bordeaux.volume19
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierhal-04011581
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04011581v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Tree%20Genetics%20and%20Genomes&rft.date=2023-02&rft.volume=19&rft.issue=1&rft.spage=8&rft.epage=8&rft.eissn=1614-2942&rft.issn=1614-2942&rft.au=HARISTOY,%20Geoffrey&BOUFFIER,%20Laurent&FONTES,%20Luis&LEAL,%20Luis&PAIVA,%20Jorge&rft.genre=article


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