title: Genome-Enabled Prediction of Breeding Values for Feedlot Average Daily Weight Gain in Nelore Cattle.
abstract: Nelore is the most economically important cattle breed in Brazil, and the use of genetically improved animals has contributed to increased beef production efficiency. The Brazilian beef feedlot industry has grown considerably in the last decade, so the selection of animals with higher growth rates on feedlot has become quite important. Genomic selection (GS) could be used to reduce generation intervals and improve the rate of genetic gains. The aim of this study was to evaluate the prediction of genomic-estimated breeding values (GEBV) for average daily weight gain (ADG) in 718 feedlot-finished Nelore steers. Analyses of three Bayesian model specifications [Bayesian GBLUP (BGBLUP), BayesA, and BayesCπ] were performed with four genotype panels [Illumina BovineHD BeadChip, TagSNPs, and GeneSeek High- and Low-density indicus (HDi and LDi, respectively)]. Estimates of Pearson correlations, regression coefficients, and mean squared errors were used to assess accuracy and bias of predictions. Overall, the BayesCπ model resulted in less biased predictions. Accuracies ranged from 0.18 to 0.27, which are reasonable values given the heritability estimates (from 0.40 to 0.44) and sample size (568 animals in the training population). Furthermore, results fromBos taurus indicuspanels were as informative as those from Illumina BovineHD, indicating that they could be used to implement GS at lower costs.
authors.affiliation: Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, Brazil.
authors.forename: Adriana L
authors.identifier: 0000-0002-0718-4856
authors.initials: AL
authors.lastname: Somavilla
authors.affiliation: Embrapa Pecuária Sudeste, São Carlos, Brazil.
authors.forename: Luciana C A
authors.identifier: 0000-0001-9242-8351
authors.initials: LCA
authors.lastname: Regitano
authors.affiliation: Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, Brazil.|University of Wisconsin-Madison, Wisconsin.
authors.forename: Guilherme J M
authors.identifier: 0000-0001-9172-6461
authors.initials: GJM
authors.lastname: Rosa
authors.affiliation: Departmento de Genética e Evolução, Universidade Federal de São Carlos, Brazil.
authors.forename: Fabiana B
authors.initials: FB
authors.lastname: Mokry
authors.affiliation: Embrapa Pecuária Sudeste, São Carlos, Brazil.
authors.forename: Mauricio A
authors.identifier: 0000-0002-2767-2507
authors.initials: MA
authors.lastname: Mudadu
authors.affiliation: Departmento de Genética e Evolução, Universidade Federal de São Carlos, Brazil.
authors.forename: Polyana C
authors.initials: PC
authors.lastname: Tizioto
authors.affiliation: Departmento de Genética e Evolução, Universidade Federal de São Carlos, Brazil.
authors.forename: Priscila S N
authors.initials: PSN
authors.lastname: Oliveira
authors.affiliation: Departmento de Genética e Evolução, Universidade Federal de São Carlos, Brazil.
authors.forename: Marcela M
authors.initials: MM
authors.lastname: Souza
authors.affiliation: Departmento de Zootecnia, Universidade de São Paulo, Piracicaba, Brazil.
authors.forename: Luiz L
authors.initials: LL
authors.lastname: Coutinho
authors.affiliation: Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista, Jaboticabal, Brazil danisio@fcav.unesp.br.
authors.forename: Danísio P
authors.identifier: 0000-0001-6915-038X
authors.initials: DP
authors.lastname: Munari
mesh_terms: D000818:Animals; D001938:Brazil; D001947:Breeding; D002417:Cattle; D016678:Genome; D055106:Genome-Wide Association Study; D023281:Genomics / Q000379:methods*; D005838:Genotype; D008957:Models, Genetic; D010641:Phenotype; D015203:Reproducibility of Results; D015430:Weight Gain / Q000235:genetics*
keywords: Bos taurus indicus; GenPred; Shared data resources; feedlot performance; genomic selection; growth