Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers
- 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
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We investigated the impact of combining the pedigree- and genomic-based relationship matrices in a multiple-trait individual-tree mixed model (a.k.a., multiple-trait combined approach) on the estimates of heritability and on the genomic correlations between growth and stem straightness in an open-pollinated Eucalyptus grandis population. Additionally, the added advantage of incorporating genomic information on the theoretical accuracies of parents and offspring breeding values was evaluated. Our results suggested that the use of the combined approach for estimating heritabilities and additive genetic correlations in multiple-trait evaluations is advantageous and including genomic information increases the expected accuracy of breeding values. Furthermore, the multiple-trait combined approach was proven to be superior to the single-trait combined approach in predicting breeding values, in particular for low-heritability traits. Finally, our results advocate the use of the combined approach in forest tree progeny testing trials, specifically when a multiple-trait individual-tree mixed model is considered.
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. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Villalba, Pamela Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. 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
- Plant science 271 : 27-33. (June 2018)
- Materia
-
Eucalyptus Grandis
Producción Forestal
Fitomejoramiento
Genética
Marcadores Genéticos
Forestry Production
Plant Breeding
Genetics
Genetic Markers - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/2193
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Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markersCappa, Eduardo PabloEl-Kassaby, Yousry A.Muñoz, FacundoGarcia, Martin NahuelVillalba, Pamela VictoriaKlapste, JaroslavMarcucci Poltri, Susana NoemiEucalyptus GrandisProducción ForestalFitomejoramientoGenéticaMarcadores GenéticosForestry ProductionPlant BreedingGeneticsGenetic MarkersWe investigated the impact of combining the pedigree- and genomic-based relationship matrices in a multiple-trait individual-tree mixed model (a.k.a., multiple-trait combined approach) on the estimates of heritability and on the genomic correlations between growth and stem straightness in an open-pollinated Eucalyptus grandis population. Additionally, the added advantage of incorporating genomic information on the theoretical accuracies of parents and offspring breeding values was evaluated. Our results suggested that the use of the combined approach for estimating heritabilities and additive genetic correlations in multiple-trait evaluations is advantageous and including genomic information increases the expected accuracy of breeding values. Furthermore, the multiple-trait combined approach was proven to be superior to the single-trait combined approach in predicting breeding values, in particular for low-heritability traits. Finally, our results advocate the use of the combined approach in forest tree progeny testing trials, specifically when a multiple-trait individual-tree mixed model is considered.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. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Villalba, Pamela Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. 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; Argentina2018-04-06T17:29:29Z2018-04-06T17:29:29Z2018-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/2193https://www.sciencedirect.com/science/article/pii/S01689452173121280168-9452https://doi.org/10.1016/j.plantsci.2018.03.014Plant science 271 : 27-33. (June 2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:17Zoai:localhost:20.500.12123/2193instacron: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 13:44:17.436INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers |
title |
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers |
spellingShingle |
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers Cappa, Eduardo Pablo Eucalyptus Grandis Producción Forestal Fitomejoramiento Genética Marcadores Genéticos Forestry Production Plant Breeding Genetics Genetic Markers |
title_short |
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers |
title_full |
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers |
title_fullStr |
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers |
title_full_unstemmed |
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers |
title_sort |
Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers |
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 |
Eucalyptus Grandis Producción Forestal Fitomejoramiento Genética Marcadores Genéticos Forestry Production Plant Breeding Genetics Genetic Markers |
topic |
Eucalyptus Grandis Producción Forestal Fitomejoramiento Genética Marcadores Genéticos Forestry Production Plant Breeding Genetics Genetic Markers |
dc.description.none.fl_txt_mv |
We investigated the impact of combining the pedigree- and genomic-based relationship matrices in a multiple-trait individual-tree mixed model (a.k.a., multiple-trait combined approach) on the estimates of heritability and on the genomic correlations between growth and stem straightness in an open-pollinated Eucalyptus grandis population. Additionally, the added advantage of incorporating genomic information on the theoretical accuracies of parents and offspring breeding values was evaluated. Our results suggested that the use of the combined approach for estimating heritabilities and additive genetic correlations in multiple-trait evaluations is advantageous and including genomic information increases the expected accuracy of breeding values. Furthermore, the multiple-trait combined approach was proven to be superior to the single-trait combined approach in predicting breeding values, in particular for low-heritability traits. Finally, our results advocate the use of the combined approach in forest tree progeny testing trials, specifically when a multiple-trait individual-tree mixed model is considered. 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. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Villalba, Pamela Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. 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 |
We investigated the impact of combining the pedigree- and genomic-based relationship matrices in a multiple-trait individual-tree mixed model (a.k.a., multiple-trait combined approach) on the estimates of heritability and on the genomic correlations between growth and stem straightness in an open-pollinated Eucalyptus grandis population. Additionally, the added advantage of incorporating genomic information on the theoretical accuracies of parents and offspring breeding values was evaluated. Our results suggested that the use of the combined approach for estimating heritabilities and additive genetic correlations in multiple-trait evaluations is advantageous and including genomic information increases the expected accuracy of breeding values. Furthermore, the multiple-trait combined approach was proven to be superior to the single-trait combined approach in predicting breeding values, in particular for low-heritability traits. Finally, our results advocate the use of the combined approach in forest tree progeny testing trials, specifically when a multiple-trait individual-tree mixed model is considered. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-04-06T17:29:29Z 2018-04-06T17:29:29Z 2018-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/2193 https://www.sciencedirect.com/science/article/pii/S0168945217312128 0168-9452 https://doi.org/10.1016/j.plantsci.2018.03.014 |
url |
http://hdl.handle.net/20.500.12123/2193 https://www.sciencedirect.com/science/article/pii/S0168945217312128 https://doi.org/10.1016/j.plantsci.2018.03.014 |
identifier_str_mv |
0168-9452 |
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 |
Plant science 271 : 27-33. (June 2018) 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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1844619121187094528 |
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12.559606 |