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Multi-Trait Single-Step GBLUP Improves Accuracy of Genomic Prediction for Carcass Traits Using Yearling Weight and Ultrasound Traits in Hanwoo

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Multi-Trait Single-Step GBLUP Improves Accuracy of Genomic Prediction for Carcass Traits Using Yearling Weight and Ultrasound Traits in Hanwoo

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dc.contributor.author Mehrban, Hossein es_ES
dc.contributor.author Naserkheil, Masoumeh es_ES
dc.contributor.author Lee, Deukhwan es_ES
dc.contributor.author Ibáñez-Escriche, Noelia es_ES
dc.date.accessioned 2022-06-20T18:05:07Z
dc.date.available 2022-06-20T18:05:07Z
dc.date.issued 2021-07-30 es_ES
dc.identifier.uri http://hdl.handle.net/10251/183485
dc.description.abstract [EN] There has been a growing interest in the genetic improvement of carcass traits as an important and primary breeding goal in the beef cattle industry over the last few decades. The use of correlated traits and molecular information can aid in obtaining more accurate estimates of breeding values. This study aimed to assess the improvement in the accuracy of genetic predictions for carcass traits by using ultrasound measurements and yearling weight along with genomic information in Hanwoo beef cattle by comparing four evaluation models using the estimators of the recently developed linear regression method. We compared the performance of single-trait pedigree best linear unbiased prediction [ST-BLUP and single-step genomic (ST-ssGBLUP)], as well as multi-trait (MT-BLUP and MT-ssGBLUP) models for the studied traits at birth and yearling date of steers. The data comprised of 15,796 phenotypic records for yearling weight and ultrasound traits as well as 5,622 records for carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score), resulting in 43,949 single-nucleotide polymorphisms from 4,284 steers and 2,332 bulls. Our results indicated that averaged across all traits, the accuracy of ssGBLUP models (0.52) was higher than that of pedigree-based BLUP (0.34), regardless of the use of single- or multi-trait models. On average, the accuracy of prediction can be further improved by implementing yearling weight and ultrasound data in the MT-ssGBLUP model (0.56) for the corresponding carcass traits compared to the ST-ssGBLUP model (0.49). Moreover, this study has shown the impact of genomic information and correlated traits on predictions at the yearling date (0.61) using MT-ssGBLUP models, which was advantageous compared to predictions at birth date (0.51) in terms of accuracy. Thus, using genomic information and high genetically correlated traits in the multi-trait model is a promising approach for practical genomic selection in Hanwoo cattle, especially for traits that are difficult to measure. es_ES
dc.description.sponsorship This study was supported by the Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ01260601), Rural Development Administration (RDA), South Korea. es_ES
dc.language Inglés es_ES
dc.publisher Frontiers Media es_ES
dc.relation info:eu-repo/grantAgreement/RDA//PJ01260601//Cooperative Research Program for Agriculture Science and Technology Development/ es_ES
dc.relation.ispartof Frontiers in Genetics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Single-step GBLUP es_ES
dc.subject Genomic prediction es_ES
dc.subject Accuracy es_ES
dc.subject Ultrasound measurement es_ES
dc.subject Genetic correlation es_ES
dc.subject Hanwoo es_ES
dc.subject.classification PRODUCCION ANIMAL es_ES
dc.title Multi-Trait Single-Step GBLUP Improves Accuracy of Genomic Prediction for Carcass Traits Using Yearling Weight and Ultrasound Traits in Hanwoo es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3389/fgene.2021.692356 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal es_ES
dc.description.bibliographicCitation Mehrban, H.; Naserkheil, M.; Lee, D.; Ibáñez-Escriche, N. (2021). Multi-Trait Single-Step GBLUP Improves Accuracy of Genomic Prediction for Carcass Traits Using Yearling Weight and Ultrasound Traits in Hanwoo. Frontiers in Genetics. 12:1-11. https://doi.org/10.3389/fgene.2021.692356 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3389/fgene.2021.692356 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 11 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.identifier.eissn 1664-8021 es_ES
dc.identifier.pmid 34394186 es_ES
dc.identifier.pmcid PMC8363309 es_ES
dc.relation.pasarela S\446412 es_ES
dc.contributor.funder Rural Development Administration, Corea del Sur es_ES


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