Evaluation of body weight and visual scores for genetic improvement of Nelore cattle
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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. |
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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 |
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1826304640563544064 |