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Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture

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Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture

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dc.contributor.author Mehrban, H. es_ES
dc.contributor.author Lee, D.H. es_ES
dc.contributor.author Moradi, M.H. es_ES
dc.contributor.author IlCho, C. es_ES
dc.contributor.author Naserkheil, M. es_ES
dc.contributor.author Ibañez Escriche, Noelia es_ES
dc.date.accessioned 2020-09-12T03:33:57Z
dc.date.available 2020-09-12T03:33:57Z
dc.date.issued 2017-01-04 es_ES
dc.identifier.issn 0999-193X es_ES
dc.identifier.uri http://hdl.handle.net/10251/149917
dc.description.abstract [EN] Background: Hanwoo beef is known for its marbled fat, tenderness, juiciness and characteristic flavor, as well as for its low cholesterol and high omega 3 fatty acid contents. As yet, there has been no comprehensive investigation to estimate genomic selection accuracy for carcass traits in Hanwoo cattle using dense markers. This study aimed at evaluating the accuracy of alternative statistical methods that differed in assumptions about the underlying genetic model for various carcass traits: backfat thickness (BT), carcass weight (CW), eye muscle area (EMA), and marbling score (MS). Methods: Accuracies of direct genomic breeding values (DGV) for carcass traits were estimated by applying fivefold cross-validation to a dataset including 1183 animals and approximately 34,000 single nucleotide polymorphisms (SNPs). Results: Accuracies of BayesC, Bayesian LASSO (BayesL) and genomic best linear unbiased prediction (GBLUP) methods were similar for BT, EMA and MS. However, for CW, DGV accuracy was 7% higher with BayesC than with BayesL and GBLUP. The increased accuracy of BayesC, compared to GBLUP and BayesL, was maintained for CW, regardless of the training sample size, but not for BT, EMA, and MS. Genome-wide association studies detected consistent large effects for SNPs on chromosomes 6 and 14 for CW. Conclusions: The predictive performance of the models depended on the trait analyzed. For CW, the results showed a clear superiority of BayesC compared to GBLUP and BayesL. These findings indicate the importance of using a proper variable selection method for genomic selection of traits and also suggest that the genetic architecture that underlies CW differs from that of the other carcass traits analyzed. Thus, our study provides significant new insights into the carcass traits of Hanwoo cattle. es_ES
dc.description.sponsorship This work was supported by a Grant from the IPET Program (No. 20093068), Ministry of Agriculture, Food and Rural Affairs, Republic of Korea. We are also grateful to all the staff of the Korean Hanwoo Improvement Center of the National Agricultural Cooperative Federation (NACF) for supplying data as well as semen and blood samples of Hanwoo cattle. es_ES
dc.language Inglés es_ES
dc.publisher Springer (Biomed Central Ltd.) es_ES
dc.relation.ispartof Genetics Selection Evolution es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Effective population-size es_ES
dc.subject Estimated breeding values es_ES
dc.subject Residual feed-intake es_ES
dc.subject Meat quality traits es_ES
dc.subject Wide association es_ES
dc.subject Linkage disequilibrium es_ES
dc.subject Complex traits es_ES
dc.subject Sequence data es_ES
dc.subject Bos-Indicus es_ES
dc.subject Accuracy es_ES
dc.subject.classification PRODUCCION ANIMAL es_ES
dc.title Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1186/s12711-016-0283-0 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MAFRA//20093068/ 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.; Lee, D.; Moradi, M.; Ilcho, C.; Naserkheil, M.; Ibañez Escriche, N. (2017). Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture. Genetics Selection Evolution. 49:1-13. https://doi.org/10.1186/s12711-016-0283-0 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1186/s12711-016-0283-0 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 13 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 49 es_ES
dc.identifier.pmid 28093066 es_ES
dc.identifier.pmcid PMC5240470 es_ES
dc.relation.pasarela S\343525 es_ES
dc.contributor.funder Ministry of Agriculture, Food and Rural Affairs, Corea del Sur es_ES
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