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Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference PAB
Silva,Delvan Alves da; Silva,Fabyano Fonseca e; Ventura,Henrique Torres; Junqueira,Vinícius Silva; Silva,Alessandra Alves da; Mota,Rodrigo Reis; Lopes,Paulo Sávio.
Abstract: The objective of this work was to evaluate the criteria for the formation of contemporary groups (CGs) in the genetic evaluation of body weight at weaning in Nellore cattle. A total of 713,474 records from 3,066 herds located in Midwestern and Northern Brazil were used. Data were obtained from the genealogical registry of zebu breeds of the Brazilian association of zebu breeders. Data structures were defined based on the number of standard deviations (SDs) for outlier removal (±2.0, ±2.5, ±3.0, and ±3.5) and on the minimal number of animals per CG (3, 7, and 15). Genetic evaluation was performed with an animal model using Bayesian inference. Data structures with ±3.5 SDs and CG with at least 15 animals presented the highest additive genetic...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Heritability; Outliers; Zebu..
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800643
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Multi-Trait analysis of growth traits: fitting reduced rank models using principal components for Simmental beef cattle Ciência Rural
Mota,Rodrigo Reis; Costa,Edson Vinícius; Lopes,Paulo Sávio; Nascimento,Moyses; Silva,Luciano Pinheiro da; Silva,Fabyano Fonseca e; Marques,Luiz Fernando Aarão.
ABSTRACT: The aim of this research was to evaluate the dimensional reduction of additive direct genetic covariance matrices in genetic evaluations of growth traits (range 100-730 days) in Simmental cattle using principal components, as well as to estimate (co)variance components and genetic parameters. Principal component analyses were conducted for five different models-one full and four reduced-rank models. Models were compared using Akaike information (AIC) and Bayesian information (BIC) criteria. Variance components and genetic parameters were estimated by restricted maximum likelihood (REML). The AIC and BIC values were similar among models. This indicated that parsimonious models could be used in genetic evaluations in Simmental cattle. The first...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Computational demand; Genetic parameters; Heritability.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000901656
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The influence of animals from embryo transfer on the genetic evaluation of growth in Simmental beef cattle by using multi-trait models Genet. Mol. Biol.
Mota,Rodrigo Reis; Lopes,Paulo Sávio; Marques,Luiz Fernando Aarão; Silva,Luciano Pinheiro da; Resende,Marcos Deon Vilela de; Torres,Robledo de Almeida.
The weight records from Simmental beef cattle were used in a genetic evaluation of growth with or without the inclusion of animals obtained by embryo transfer. A multi-trait model in which embryo transfer individuals were excluded (MTM1) contained 29,510 records from 10,659 animals, while another model without exclusion of these animals (MTM2) contained 62,895 weight records from 23,160 animals. The weight records were adjusted for ages of 100, 205, 365, 450, 550 and 730 days. The (co)variance components and genetic parameters were estimated by the restricted maximum likelihood method. The (co)variance components were similar in both models, except for maternal permanent environment variance. Direct heritabilities (h²d) in MTM1 were 0.04, 0.11, 0.20, 0.27,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Body weight; (co)variance components; Heritability.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000100007
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Use of regularized quantile regression to predict the genetic merit of pigs for asymmetric carcass traits PAB
Santos,Patricia Mendes dos; Nascimento,Ana Carolina Campana; Nascimento,Moysés; Silva,Fabyano Fonseca e; Azevedo,Camila Ferreira; Mota,Rodrigo Reis; Guimarães,Simone Eliza Facioni; Lopes,Paulo Sávio.
Abstract: The objective of this work was to evaluate the use of regularized quantile regression (RQR) to predict the genetic merit of pigs for asymmetric carcass traits, compared with the Bayesian lasso (Blasso) method. The genetic data of the traits carcass yield, bacon thickness, and backfat thickness from a F2 population composed of 345 individuals, generated by crossing animals from the Piau breed with those of a commercial breed, were used. RQR was evaluated considering different quantiles (τ = 0.05 to 0.95). The RQR model used to estimate the genetic merit showed accuracies higher than or equal to those obtained by Blasso, for all studies traits. There was an increase of 6.7 and 20.0% in accuracy when the quantiles 0.15 and 0.45 were considered in...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Sus scrofa; Blasso; Shrinkage.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000901011
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