Evaluation of body weight and visual scores for genetic improvement of Nelore cattle

Detalhes bibliográficos
Autor(a) principal: Paterno, F. M. [UNESP]
Data de Publicação: 2017
Outros Autores: Buzanskas, M. E., Koury Filho, W., Lôbo, R. B., Queiroz, S. A. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s11250-016-1215-2
http://hdl.handle.net/11449/174003
Resumo: The aims of our study were to estimate genetic parameters for body weight and visual scores and to evaluate their inclusion as selection criteria in the Nelore breeding program in Brazil. The traits studied were the body weight adjusted to 210 (W210) and to 450 (W450) days of age and visual scores for body structure, finishing precocity, and muscling evaluated at weaning (BSW, FPW, and MSW) and yearling (BSY, FPY, and MSY) ages. A total of 33,242, 26,259, 23,075, and 26,057 observations were considered to analyze W210, W450, and visual scores at weaning and yearling. The significant (P < 0.05) fixed effects for all traits were farm, birth season, birth year, sex, and management group. Single-trait analyses were performed to define the most fitting model to our data using the average information restricted maximum likelihood algorithm, for weaning traits. Subsequently, these models were used in single- and two-trait analyses considering the Bayesian inference algorithm. Two-trait Bayesian analyses resulted in average direct heritability estimates for BSW, FPW, MSW, W210, BSY, FPY, MSY, and W450 of 0.28, 0.30, 0.27, 0.28, 0.40, 0.44, 0.39, and 0.50, respectively. Genetic correlations varied from 0.40 to 0.96. Benefits to animal performance can best be achieved by considering body structure, finishing precocity, and muscling as selection criteria in the Nelore breeding programs. The decision to use visual scores measured at weaning should be considered in order to decrease generation interval and assist pre-selecting individuals, expecting carcass improvements in the future progeny.
id UNSP_afafe3abf4462a3fa72edd5d6ab51195
oai_identifier_str oai:repositorio.unesp.br:11449/174003
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Evaluation of body weight and visual scores for genetic improvement of Nelore cattleAnimal breedingBeef cattleBos indicusMaternal effectsThe aims of our study were to estimate genetic parameters for body weight and visual scores and to evaluate their inclusion as selection criteria in the Nelore breeding program in Brazil. The traits studied were the body weight adjusted to 210 (W210) and to 450 (W450) days of age and visual scores for body structure, finishing precocity, and muscling evaluated at weaning (BSW, FPW, and MSW) and yearling (BSY, FPY, and MSY) ages. A total of 33,242, 26,259, 23,075, and 26,057 observations were considered to analyze W210, W450, and visual scores at weaning and yearling. The significant (P < 0.05) fixed effects for all traits were farm, birth season, birth year, sex, and management group. Single-trait analyses were performed to define the most fitting model to our data using the average information restricted maximum likelihood algorithm, for weaning traits. Subsequently, these models were used in single- and two-trait analyses considering the Bayesian inference algorithm. Two-trait Bayesian analyses resulted in average direct heritability estimates for BSW, FPW, MSW, W210, BSY, FPY, MSY, and W450 of 0.28, 0.30, 0.27, 0.28, 0.40, 0.44, 0.39, and 0.50, respectively. Genetic correlations varied from 0.40 to 0.96. Benefits to animal performance can best be achieved by considering body structure, finishing precocity, and muscling as selection criteria in the Nelore breeding programs. The decision to use visual scores measured at weaning should be considered in order to decrease generation interval and assist pre-selecting individuals, expecting carcass improvements in the future progeny.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Departamento de Zootecnia Faculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista (UNESP)Departamento de Zootecnia Universidade Federal da Paraíba (UFPB)Brasil com Z – Zootecnia TropicalAssociação Nacional de Criadores e Pesquisadores (ANCP)Departamento de Zootecnia Faculdade de Ciências Agrárias e Veterinárias Universidade Estadual Paulista (UNESP)Universidade Estadual Paulista (Unesp)Universidade Federal da Paraíba (UFPB)Brasil com Z – Zootecnia TropicalAssociação Nacional de Criadores e Pesquisadores (ANCP)Paterno, F. M. [UNESP]Buzanskas, M. E.Koury Filho, W.Lôbo, R. B.Queiroz, S. A. [UNESP]2018-12-11T17:08:42Z2018-12-11T17:08:42Z2017-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article467-473application/pdfhttp://dx.doi.org/10.1007/s11250-016-1215-2Tropical Animal Health and Production, v. 49, n. 3, p. 467-473, 2017.1573-74380049-4747http://hdl.handle.net/11449/17400310.1007/s11250-016-1215-22-s2.0-850074483982-s2.0-85007448398.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTropical Animal Health and Production0,5110,511info:eu-repo/semantics/openAccess2024-06-07T18:44:56Zoai:repositorio.unesp.br:11449/174003Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-06-07T18:44:56Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Evaluation of body weight and visual scores for genetic improvement of Nelore cattle
title Evaluation of body weight and visual scores for genetic improvement of Nelore cattle
spellingShingle Evaluation of body weight and visual scores for genetic improvement of Nelore cattle
Paterno, F. M. [UNESP]
Animal breeding
Beef cattle
Bos indicus
Maternal effects
title_short Evaluation of body weight and visual scores for genetic improvement of Nelore cattle
title_full Evaluation of body weight and visual scores for genetic improvement of Nelore cattle
title_fullStr Evaluation of body weight and visual scores for genetic improvement of Nelore cattle
title_full_unstemmed Evaluation of body weight and visual scores for genetic improvement of Nelore cattle
title_sort Evaluation of body weight and visual scores for genetic improvement of Nelore cattle
author Paterno, F. M. [UNESP]
author_facet Paterno, F. M. [UNESP]
Buzanskas, M. E.
Koury Filho, W.
Lôbo, R. B.
Queiroz, S. A. [UNESP]
author_role author
author2 Buzanskas, M. E.
Koury Filho, W.
Lôbo, R. B.
Queiroz, S. A. [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal da Paraíba (UFPB)
Brasil com Z – Zootecnia Tropical
Associação Nacional de Criadores e Pesquisadores (ANCP)
dc.contributor.author.fl_str_mv Paterno, F. M. [UNESP]
Buzanskas, M. E.
Koury Filho, W.
Lôbo, R. B.
Queiroz, S. A. [UNESP]
dc.subject.por.fl_str_mv Animal breeding
Beef cattle
Bos indicus
Maternal effects
topic Animal breeding
Beef cattle
Bos indicus
Maternal effects
description The aims of our study were to estimate genetic parameters for body weight and visual scores and to evaluate their inclusion as selection criteria in the Nelore breeding program in Brazil. The traits studied were the body weight adjusted to 210 (W210) and to 450 (W450) days of age and visual scores for body structure, finishing precocity, and muscling evaluated at weaning (BSW, FPW, and MSW) and yearling (BSY, FPY, and MSY) ages. A total of 33,242, 26,259, 23,075, and 26,057 observations were considered to analyze W210, W450, and visual scores at weaning and yearling. The significant (P < 0.05) fixed effects for all traits were farm, birth season, birth year, sex, and management group. Single-trait analyses were performed to define the most fitting model to our data using the average information restricted maximum likelihood algorithm, for weaning traits. Subsequently, these models were used in single- and two-trait analyses considering the Bayesian inference algorithm. Two-trait Bayesian analyses resulted in average direct heritability estimates for BSW, FPW, MSW, W210, BSY, FPY, MSY, and W450 of 0.28, 0.30, 0.27, 0.28, 0.40, 0.44, 0.39, and 0.50, respectively. Genetic correlations varied from 0.40 to 0.96. Benefits to animal performance can best be achieved by considering body structure, finishing precocity, and muscling as selection criteria in the Nelore breeding programs. The decision to use visual scores measured at weaning should be considered in order to decrease generation interval and assist pre-selecting individuals, expecting carcass improvements in the future progeny.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-01
2018-12-11T17:08:42Z
2018-12-11T17:08:42Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s11250-016-1215-2
Tropical Animal Health and Production, v. 49, n. 3, p. 467-473, 2017.
1573-7438
0049-4747
http://hdl.handle.net/11449/174003
10.1007/s11250-016-1215-2
2-s2.0-85007448398
2-s2.0-85007448398.pdf
url http://dx.doi.org/10.1007/s11250-016-1215-2
http://hdl.handle.net/11449/174003
identifier_str_mv Tropical Animal Health and Production, v. 49, n. 3, p. 467-473, 2017.
1573-7438
0049-4747
10.1007/s11250-016-1215-2
2-s2.0-85007448398
2-s2.0-85007448398.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Tropical Animal Health and Production
0,511
0,511
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 467-473
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
_version_ 1826304640563544064