Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers

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-po...

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Autores principales: Cappa, Eduardo Pablo, El-Kassaby, Yousry A., Muñoz, Facundo, Garcia, Martin Nahuel, Villalba, Pamela Victoria, Klapste, Jaroslav, Marcucci Poltri, Susana Noemi
Formato: info:ar-repo/semantics/artículo
Lenguaje:Inglés
Publicado: 2018
Materias:
Acceso en línea: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
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author Cappa, Eduardo Pablo
El-Kassaby, Yousry A.
Muñoz, Facundo
Garcia, Martin Nahuel
Villalba, Pamela Victoria
Klapste, Jaroslav
Marcucci Poltri, Susana Noemi
author_browse Cappa, Eduardo Pablo
El-Kassaby, Yousry A.
Garcia, Martin Nahuel
Klapste, Jaroslav
Marcucci Poltri, Susana Noemi
Muñoz, Facundo
Villalba, Pamela Victoria
author_facet Cappa, Eduardo Pablo
El-Kassaby, Yousry A.
Muñoz, Facundo
Garcia, Martin Nahuel
Villalba, Pamela Victoria
Klapste, Jaroslav
Marcucci Poltri, Susana Noemi
author_sort Cappa, Eduardo Pablo
collection INTA Digital
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.
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institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
language Inglés
publishDate 2018
publishDateRange 2018
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spelling INTA21932019-03-21T19:06:06Z Genomic-based multiple-trait evaluation in Eucalyptus grandis using dominant DArT markers Cappa, Eduardo Pablo El-Kassaby, Yousry A. Muñoz, Facundo Garcia, Martin Nahuel Villalba, Pamela Victoria Klapste, Jaroslav Marcucci Poltri, Susana Noemi Eucalyptus Grandis Producción Forestal Fitomejoramiento Genética Marcadores Genéticos Forestry Production Plant Breeding Genetics Genetic Markers 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 2018-04-06T17:29:29Z 2018-04-06T17:29:29Z 2018-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf Plant science 271 : 27-33. (June 2018)
spellingShingle Eucalyptus Grandis
Producción Forestal
Fitomejoramiento
Genética
Marcadores Genéticos
Forestry Production
Plant Breeding
Genetics
Genetic Markers
Cappa, Eduardo Pablo
El-Kassaby, Yousry A.
Muñoz, Facundo
Garcia, Martin Nahuel
Villalba, Pamela Victoria
Klapste, Jaroslav
Marcucci Poltri, Susana Noemi
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
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_short 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
topic Eucalyptus Grandis
Producción Forestal
Fitomejoramiento
Genética
Marcadores Genéticos
Forestry Production
Plant Breeding
Genetics
Genetic Markers
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
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