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Resumen
Climate change and the increasing demand for sustainable energy resources require urgent strategies to increase the accuracy of selection in tree breeding (associated with higher gain). We investigated the combined pedigree and genomic-based relationship approach and its impact on the accuracy of predicted breeding values using data from 5-year-old Eucalyptus grandis progeny trial. The number of trees that can be genotyped in a tree breeding population is [ver mas...]
dc.contributor.authorCappa, Eduardo Pablo
dc.contributor.authorEl-Kassaby, Yousry A.
dc.contributor.authorMuñoz, Facundo
dc.contributor.authorGarcia, Martin Nahuel
dc.contributor.authorVillalba, Pamela Victoria
dc.contributor.authorKlapste, Jaroslav
dc.contributor.authorMarcucci Poltri, Susana Noemi
dc.date.accessioned2018-03-02T11:12:51Z
dc.date.available2018-03-02T11:12:51Z
dc.date.issued2017-10
dc.identifier.issn1380-3743 (Print)
dc.identifier.issn1572-9788 (Online)
dc.identifier.otherhttps://doi.org/10.1007/s11032-017-0725-6
dc.identifier.urihttp://hdl.handle.net/20.500.12123/1936
dc.identifier.urihttps://link.springer.com/article/10.1007/s11032-017-0725-6
dc.description.abstractClimate change and the increasing demand for sustainable energy resources require urgent strategies to increase the accuracy of selection in tree breeding (associated with higher gain). We investigated the combined pedigree and genomic-based relationship approach and its impact on the accuracy of predicted breeding values using data from 5-year-old Eucalyptus grandis progeny trial. The number of trees that can be genotyped in a tree breeding population is limited; therefore, the combined approach can be a feasible and efficient strategy to increase the genetic gain and provide more accurate predicted breeding values. We calculated the accuracy of predicted breeding values for two growth traits, diameter at breast height and total height, using two evaluation approaches: the combined approach and the classical pedigree-based approach. We also investigated the influence of two different trait heritabilities as well as the inclusion of competition genetic effects or environmental heterogeneity in an individual-tree mixed model on the estimated variance components and accuracy of breeding values. The genomic information of genotyped trees is automatically propagated to all trees with the combined approach, including the non-genotyped mothers. This increased the accuracy of overall breeding values, except for the non-genotyped trees from the competition model. The increase in the accuracy was higher for the total height, the trait with low heritability. The combined approach is a simple, fast, and accurate genomic selection method for genetic evaluation of growth traits in E. grandis and tree species in general. It is simple to implement in a traditional individual-tree mixed model and provides an easy extension to individual-tree mixed models with competition effects and/or environmental heterogeneity.eng
dc.formatapplication/pdf
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceMolecular breeding 37 : 125. (October 2017)
dc.subjectProducción Forestal
dc.subjectForestry Productioneng
dc.subjectGeneticseng
dc.subjectFitomejoramientospa
dc.subjectGenéticaspa
dc.subjectPlant Breedingeng
dc.subjectEucalyptus Grandis
dc.subjectMedio Ambientespa
dc.subjectEnvironmenteng
dc.titleImproving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.description.origenInst. de Recursos Biológicos
dc.gic155780
dc.description.filFil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.filFil: El-Kassaby, Yousry A. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; Canada
dc.description.filFil: Muñoz, Facundo. Institut National de la Recherche Agronomique . Unité Amélioration, Génétique et Physiologie Forestières; Francia
dc.description.filFil: Garcia, Martin Nahuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
dc.description.filFil: Villalba, Pamela Victoria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
dc.description.filFil: Klapste, Jaroslav. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; Canada. Czech University of Life Sciences. Faculty of Forestry and Wood Sciences. Department of Genetics and Physiology of Forest Trees; República Checa
dc.description.filFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
dc.subtypecientifico


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