Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference

Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference

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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 variance (82.65±2.93), and those with ±2.0 SDs and CG with at least 3 animals showed the lowest one (60.23±1.96). The proper formation of CGs results in better-quality data archives, allowing to obtain more trustable estimates for the genetic parameters. Better selection responses are obtained when the following criteria are adopted for the removal of outliers: 2.5, 3.0, and 3.5 standard deviations and a minimum of 15 animals per contemporary group.

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Main Authors: Silva,Delvan Alves da, Silva,Fabyano Fonseca e, Ventura,Henrique Torres, Junqueira,Vinícius Silva, Silva,Alessandra Alves da, Mota,Rodrigo Reis, Lopes,Paulo Sávio
Format: Digital revista
Language:English
Published: Embrapa Secretaria de Pesquisa e Desenvolvimento 2017
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800643
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spelling oai:scielo:S0100-204X20170008006432017-10-19Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inferenceSilva,Delvan Alves daSilva,Fabyano Fonseca eVentura,Henrique TorresJunqueira,Vinícius SilvaSilva,Alessandra Alves daMota,Rodrigo ReisLopes,Paulo Sávio heritability outliers zebu. 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 variance (82.65±2.93), and those with ±2.0 SDs and CG with at least 3 animals showed the lowest one (60.23±1.96). The proper formation of CGs results in better-quality data archives, allowing to obtain more trustable estimates for the genetic parameters. Better selection responses are obtained when the following criteria are adopted for the removal of outliers: 2.5, 3.0, and 3.5 standard deviations and a minimum of 15 animals per contemporary group.info:eu-repo/semantics/openAccessEmbrapa Secretaria de Pesquisa e DesenvolvimentoPesquisa Agropecuária BrasileiraPesquisa Agropecuária Brasileira v.52 n.8 20172017-08-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800643en10.1590/s0100-204x2017000800010
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Silva,Delvan Alves da
Silva,Fabyano Fonseca e
Ventura,Henrique Torres
Junqueira,Vinícius Silva
Silva,Alessandra Alves da
Mota,Rodrigo Reis
Lopes,Paulo Sávio
spellingShingle Silva,Delvan Alves da
Silva,Fabyano Fonseca e
Ventura,Henrique Torres
Junqueira,Vinícius Silva
Silva,Alessandra Alves da
Mota,Rodrigo Reis
Lopes,Paulo Sávio
Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference
author_facet Silva,Delvan Alves da
Silva,Fabyano Fonseca e
Ventura,Henrique Torres
Junqueira,Vinícius Silva
Silva,Alessandra Alves da
Mota,Rodrigo Reis
Lopes,Paulo Sávio
author_sort Silva,Delvan Alves da
title Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference
title_short Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference
title_full Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference
title_fullStr Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference
title_full_unstemmed Contemporary groups in the genetic evaluation of Nellore cattle using Bayesian inference
title_sort contemporary groups in the genetic evaluation of nellore cattle using bayesian inference
description 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 variance (82.65±2.93), and those with ±2.0 SDs and CG with at least 3 animals showed the lowest one (60.23±1.96). The proper formation of CGs results in better-quality data archives, allowing to obtain more trustable estimates for the genetic parameters. Better selection responses are obtained when the following criteria are adopted for the removal of outliers: 2.5, 3.0, and 3.5 standard deviations and a minimum of 15 animals per contemporary group.
publisher Embrapa Secretaria de Pesquisa e Desenvolvimento
publishDate 2017
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000800643
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