Single - step genomic prediction of Eucalyptus dunnii using different identity - by - descent and identity - by - state relationship matrices

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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 geno...

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Detalles Bibliográficos
Otros Autores:	Jurcic, Esteban, Villalba, Pamela V., Pathauer, Pablo Santiago, Palazzini, Dino A., Oberschelp, Gustavo Pedro Javier, Harrand, Leonel, Garcia, Martín N., Munilla Leguizamón, Sebastián
Formato:	Artículo
Lenguaje:	Inglés
Materias:	EUCALYPTUS DUNNII FOREST TREE BREEDING GBLUP MODELS GENOMIC PREDICTION
Acceso en línea:	http://ri.agro.uba.ar/files/intranet/articulo/2021jurcic.pdf LINK AL EDITOR
Aporte de:	Registro referencial: Solicitar el recurso aquí Biblioteca Central (FAUBA) de Universidad de Buenos Aires

Single - step genomic prediction of Eucalyptus dunnii using different identity - by - descent and identity - by - state relationship matrices

Aportado por: Biblioteca Central (FAUBA)

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Single - step genomic prediction of Eucalyptus dunnii using different identity - by - descent and identity - by - state relationship matrices

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