title: Random regression models to estimate genetic parameters for weights in Murrah buffaloes.
abstract: This article reports genetic analysis of the weight at different ages of Murrah water buffaloes, using random regression models (RRM). Models ranging from third to sixth order polynomial were used to describe direct genetic and animal permanent environmental effects. Contemporary group was included as a fixed effect, and a cubic polynomial was used to model the mean curve of the population. The residual was modeled considering a log-linear function. Two models were selected for study of genetic parameters. The first model included third and sixth order polynomials for direct genetic and animal permanent environmental effects (M36). The second model included sixth order polynomials for all random effects (M66). The estimates of heritability varied from 0.16 + 0.04 (44 days) to 0.38 + 0.04 (568 days) for model M36 and from 0.16 + 0.05 (33 days) to 0.42 + 0.05 (600 days) for model M66. Regarding estimates of the correlation for all effects, the magnitude tended to decline with the increase of the time span between measurements. These results indicate that the species has potential for genetic selection based on weight at different ages, since we found favorable genetic variability within the herd, with selection likely to be more efficient at ages near 600 days.
authors.affiliation: Instituto Federal Goiano, Rio Verde, Goiás, Brazil.
authors.forename: Flavia Rita
authors.initials: FR
authors.lastname: Ferreira
authors.affiliation: Instituto Federal Goiano, Rio Verde, Goiás, Brazil.
authors.forename: Francisco Ribeiro
authors.initials: FR
authors.lastname: de Araujo Neto
authors.affiliation: Instituto Federal Goiano, Rio Verde, Goiás, Brazil.
authors.forename: Henrique Barbosa
authors.initials: HB
authors.lastname: Borges
authors.affiliation: Universidade Federal da Grande Dourados, Dourados, Mato Grosso do Sul, Brazil.
authors.forename: Rusbel Raul
authors.initials: RR
authors.lastname: Aspilcueta-Borquis
authors.affiliation: Universidade Estadual Paulista Júlio de Mesquita, Jaboticabal, São Paulo, Brazil.
authors.forename: Naudim Alejandro
authors.initials: NA
authors.lastname: Hurtado-Lugo
authors.affiliation: Universidade Estadual Paulista Júlio de Mesquita, Jaboticabal, São Paulo, Brazil.
authors.forename: Henrique Nunes
authors.initials: HN
authors.lastname: de Oliveira
authors.affiliation: Universidade Estadual Paulista Júlio de Mesquita, Jaboticabal, São Paulo, Brazil.
authors.forename: Lucia Galvão
authors.initials: LG
authors.lastname: de Albuquerque
authors.affiliation: Universidade Estadual Paulista Júlio de Mesquita, Jaboticabal, São Paulo, Brazil.
authors.forename: Humberto
authors.initials: H
authors.lastname: Tonhati
mesh_terms: D000375:Aging / Q000235:genetics; D000818:Animals; D001835:Body Weight / Q000235:genetics*; D002020:Buffaloes / Q000235:genetics* / Q000502:physiology*; D004777:Environment; D005260:Female; D056726:Genetic Association Studies / Q000662:veterinary*; D008297:Male; D008957:Models, Genetic; D019655:Quantitative Trait, Heritable; D012044:Regression Analysis
keywords: Bubalus bubalis; longitudinal traits; model selection; water buffalo