Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models

Autores
Cappa, Eduardo Pablo; El-Kassaby, Yousry A.; Muñoz, Facundo; Garcia, Martin Nahuel; Villalba, Pamela Victoria; Klapste, Jaroslav; Marcucci Poltri, Susana Noemi
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
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 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.
Inst. de Recursos Biológicos
Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: El-Kassaby, Yousry A. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; Canada
Fil: Muñoz, Facundo. Institut National de la Recherche Agronomique . Unité Amélioration, Génétique et Physiologie Forestières; Francia
Fil: Garcia, Martin Nahuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Villalba, Pamela Victoria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: 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
Fil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fuente
Molecular breeding 37 : 125. (October 2017)
Materia
Producción Forestal
Eucalyptus Grandis
Forestry Production
Genetics
Plant Breeding
Environment
Fitomejoramiento
Genética
Medio Ambiente
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/1936
Acceder
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network_name_str INTA Digital (INTA)
spelling Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed modelsCappa, Eduardo PabloEl-Kassaby, Yousry A.Muñoz, FacundoGarcia, Martin NahuelVillalba, Pamela VictoriaKlapste, JaroslavMarcucci Poltri, Susana NoemiProducción ForestalEucalyptus GrandisForestry ProductionGeneticsPlant BreedingEnvironmentFitomejoramientoGenéticaMedio AmbienteClimate 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.Inst. de Recursos BiológicosFil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: El-Kassaby, Yousry A. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; CanadaFil: Muñoz, Facundo. Institut National de la Recherche Agronomique . Unité Amélioration, Génétique et Physiologie Forestières; FranciaFil: Garcia, Martin Nahuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Villalba, Pamela Victoria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: 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 ChecaFil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina2018-03-02T11:12:51Z2018-03-02T11:12:51Z2017-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/1936https://link.springer.com/article/10.1007/s11032-017-0725-61380-3743 (Print)1572-9788 (Online)https://doi.org/10.1007/s11032-017-0725-6Molecular breeding 37 : 125. (October 2017)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:15Zoai:localhost:20.500.12123/1936instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:15.694INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
title Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
spellingShingle Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
Cappa, Eduardo Pablo
Producción Forestal
Eucalyptus Grandis
Forestry Production
Genetics
Plant Breeding
Environment
Fitomejoramiento
Genética
Medio Ambiente
title_short Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
title_full Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
title_fullStr Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
title_full_unstemmed Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
title_sort Improving accuracy of breeding values by incorporating genomic information in spatial - competition mixed models
dc.creator.none.fl_str_mv Cappa, Eduardo Pablo
El-Kassaby, Yousry A.
Muñoz, Facundo
Garcia, Martin Nahuel
Villalba, Pamela Victoria
Klapste, Jaroslav
Marcucci Poltri, Susana Noemi
author Cappa, Eduardo Pablo
author_facet Cappa, Eduardo Pablo
El-Kassaby, Yousry A.
Muñoz, Facundo
Garcia, Martin Nahuel
Villalba, Pamela Victoria
Klapste, Jaroslav
Marcucci Poltri, Susana Noemi
author_role author
author2 El-Kassaby, Yousry A.
Muñoz, Facundo
Garcia, Martin Nahuel
Villalba, Pamela Victoria
Klapste, Jaroslav
Marcucci Poltri, Susana Noemi
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Producción Forestal
Eucalyptus Grandis
Forestry Production
Genetics
Plant Breeding
Environment
Fitomejoramiento
Genética
Medio Ambiente
topic Producción Forestal
Eucalyptus Grandis
Forestry Production
Genetics
Plant Breeding
Environment
Fitomejoramiento
Genética
Medio Ambiente
dc.description.none.fl_txt_mv 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 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.
Inst. de Recursos Biológicos
Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: El-Kassaby, Yousry A. University of British Columbia. Faculty of Forestry. Department of Forest and Conservation Sciences; Canada
Fil: Muñoz, Facundo. Institut National de la Recherche Agronomique . Unité Amélioration, Génétique et Physiologie Forestières; Francia
Fil: Garcia, Martin Nahuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Villalba, Pamela Victoria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: 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
Fil: Marcucci Poltri, Susana Noemi. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
description 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 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
2018-03-02T11:12:51Z
2018-03-02T11:12:51Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/1936
https://link.springer.com/article/10.1007/s11032-017-0725-6
1380-3743 (Print)
1572-9788 (Online)
https://doi.org/10.1007/s11032-017-0725-6
url http://hdl.handle.net/20.500.12123/1936
https://link.springer.com/article/10.1007/s11032-017-0725-6
https://doi.org/10.1007/s11032-017-0725-6
identifier_str_mv 1380-3743 (Print)
1572-9788 (Online)
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Molecular breeding 37 : 125. (October 2017)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.559606

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