Evaluation of the potential use of a meta-population for genomic selection in autochthonous beef cattle populations

This study investigated the potential application of genomic selection under a multi-breed scheme in the Spanish autochthonous beef cattle populations using a simulation study that replicates the structure of linkage disequilibrium obtained from a sample of 25 triplets of sire/dam/offspring per popu...

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Detalles Bibliográficos
Autores: Mouresan, E. F., Cañas Álvarez, J. J., González Rodríguez, A., Munilla Leguizamon, Sebastian, Altarriba, J., Díaz, C., Baró, J. A., Molina, A., Piedrafita, J., Varona, Luisina
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/96155
Acceso en línea:http://hdl.handle.net/11336/96155
Access Level:acceso abierto
Palabra clave:ACCURACY
ACROSS POPULATION
BEEF CATTLE
GENOMIC SELECTION
META-POPULATION
https://purl.org/becyt/ford/4.2
https://purl.org/becyt/ford/4
Descripción
Sumario:This study investigated the potential application of genomic selection under a multi-breed scheme in the Spanish autochthonous beef cattle populations using a simulation study that replicates the structure of linkage disequilibrium obtained from a sample of 25 triplets of sire/dam/offspring per population and using the BovineHD Beadchip. Purebred and combined reference sets were used for the genomic evaluation and several scenarios of different genetic architecture of the trait were investigated. The single-breed evaluations yielded the highest within-breed accuracies. Across breed accuracies were found low but positive on average confirming the genetic connectedness between the populations. If the same genotyping effort is split in several populations, the accuracies were lower when compared with single-breed evaluation, but showed a small advantage over small-sized purebred reference sets over the accuracies of subsequent generations. Besides, the genetic architecture of the trait did not show any relevant effect on the accuracy with the exception of rare variants, which yielded slightly lower results and higher loss of predictive ability over the generations.