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Jurcic, E.; Villalba, P. V.; Pathauer, P. S.; Palazzini, D. A.; Oberschelp, G. P. J.; ... Munilla Leguizamón, S. (2021)"Single - step genomic prediction of Eucalyptus dunnii using different identity - by - descent and identity - by - state relationship matrices". Heredity,127, (2),p.176–189

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Artículo
Título en inglés:
Single - step genomic prediction of Eucalyptus dunnii using different identity - by - descent and identity - by - state relationship matrices
Autor/es:
Jurcic, Esteban; Villalba, Pamela V.; Pathauer, Pablo Santiago; Palazzini, Dino A.; Oberschelp, Gustavo Pedro Javier; Harrand, Leonel; García, Martín N.; Munilla Leguizamón, Sebastián
Filiación:
Jurcic, Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos (INTA-CIRN). Hurlingham, Buenos Aires, Argentina.
Jurcic, Esteban. CONICET. Buenos Aires, Argentina.
Villalba, Pamela V. CONICET. Buenos Aires, Argentina.
Villalba, Pamela V. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular (IABIMO). Hurlingham, Buenos Aires, Argentina.
Villalba, Pamela V. CONICET - Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular (IABIMO). Hurlingham, Buenos Aires, Argentina.
Pathauer, Pablo Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos (INTA-CIRN). Hurlingham, Buenos Aires, Argentina.
Palazzini, Dino A. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos (INTA-CIRN). Hurlingham, Buenos Aires, Argentina.
Oberschelp, Gustavo Pedro Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concordia (EEA Concordia). Entre Ríos. Argentina.
Harrand, Leonel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concordia (EEA Concordia). Entre Ríos. Argentina.
García, Martín N. CONICET. Buenos Aires, Argentina.
García, Martín N. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular (IABIMO). Hurlingham, Buenos Aires, Argentina.
García, Martín N. CONICET - Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular (IABIMO). Hurlingham, Buenos Aires, Argentina.
Munilla Leguizamón, Sebastián. CONICET. Buenos Aires, Argentina.
Munilla Leguizamón, Sebastián. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.
Año:
2021
Título revista:
Heredity
ISSN:
0018-067X
Volumen:
127
Número:
2
Páginas:
176–189
Temas:
EUCALYPTUS DUNNII; FOREST TREE BREEDING; GBLUP MODELS; GENOMIC PREDICTION
Idioma:
Inglés
URL al Editor:

Resumen:

Genomic selection based on the single-step genomic best linear unbiased prediction (ssGBLUP) approach is becoming an important tool in forest tree breeding. The quality of the variance components and the predictive ability of the estimated breeding values (GEBV) depends on how well marker-based genomic relationships describe the actual genetic relationships at unobserved causal loci. We investigated the performance of GEBV obtained when fitting models with genomic covariance matrices based on two identity-by-descent (IBD) and two identity-by-state (IBS) relationship measures. Multiple-trait multiple-site ssGBLUP models were fitted to diameter and stem straightness in five open-pollinated progeny trials of Eucalyptus dunnii, genotyped using the EUChip60K. We also fitted the conventional ABLUP model with a pedigree-based covariance matrix. Estimated relationships from the IBD estimators displayed consistently lower standard deviations than those from the IBS approaches. Although ssGBLUP based in IBS estimators resulted in higher trait-site heritabilities, the gain in accuracy of the relationships using IBD estimators has resulted in higher predictive ability and lower bias of GEBV, especially for low-heritability trait-site. ssGBLUP based on IBS and IBD approaches performed considerably better than the traditional ABLUP. In summary, our results advocate the use of the ssGBLUP approach jointly with the IBD relationship matrix in open-pollinated forest tree evaluation.

Citación:

---------- APA ----------

Jurcic, E.; Villalba, P. V.; Pathauer, P. S.; Palazzini, D. A.; Oberschelp, G. P. J.; ... Munilla Leguizamón, S. (2021). Single - step genomic prediction of Eucalyptus dunnii using different identity - by - descent and identity - by - state relationship matrices. Heredity,127, (2),p.176–189
10.1038/s41437-021-00450-9

---------- CHICAGO ----------

Jurcic, Esteban,Villalba, Pamela V.,Pathauer, Pablo Santiago,Palazzini, Dino A.,Oberschelp, Gustavo Pedro Javier,Harrand, Leonel, et al.. 2021. "Single - step genomic prediction of Eucalyptus dunnii using different identity - by - descent and identity - by - state relationship matrices". Heredity 127, no.2:176–189.
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http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2021jurcic