Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore 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/10.1016/j.livsci.2017.10.010 http://hdl.handle.net/11449/175963 |
Resumo: | The aim of this study was to estimate heritability for five temperament and two reproductive traits in Nellore cattle and to estimate genetic and phenotypic correlations among them. Temperament was evaluated using the movement (MOV), tension (TEN) and crush (CS) scores (measured with animals inside the squeeze chute) as well as the flight speed (FS) and temperament score (TS). Reproductive traits included i) heifer rebreeding (HR), which evaluates heifers’ ability to become pregnant, given that they had calved once; and ii) stayability (STAY), which measures cows’ ability to calve at least 3 offspring before reaching 65 months of age. We used Bayesian inference and Gibbs sampling in a two-trait analysis to estimate genetic parameters applying a linear model for FS and threshold models for MOV, TEN, CS, TS, HR and STAY. The animal model included contemporary group as a fixed effect, direct additive genetic and residual effects as random effects, and animal age at yearling as a covariate (with linear and quadratic effects). Heritability estimates for MOV, TEN, CS, FS, TS, HR and STAY were 0.14 ± 0.04, 0.11 ± 0.03, 0.09 ± 0.03, 0.22 ± 0.02, 0.19 ± 0.04, 0.13 ± 0.02 and 0.13 ± 0.02, respectively. The genetic correlation estimates were low to moderate and the highest values (in magnitude) were − 0.19 ± 0.21 (HR-CS), − 0.21 ± 0.15 (STAY-TEN) and − 0.24 ± 0.16 (STAY-CS), indicating that the selection to improve cattle temperament does not negatively affect HR and STAY. These results indicate that all traits had sufficient genetic variability to respond to direct selection; however, given the low estimated heritability, we expect to see only long-term genetic changes. Genetic correlations showed that there is no antagonism of temperament with fertility and longevity; however, we recommend including these traits as selection criteria in Nellore breeding programs to obtain satisfactory genetic changes. |
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Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore cattleFlight speed testGenetic correlationLongevityReactivityReproductive traitsThe aim of this study was to estimate heritability for five temperament and two reproductive traits in Nellore cattle and to estimate genetic and phenotypic correlations among them. Temperament was evaluated using the movement (MOV), tension (TEN) and crush (CS) scores (measured with animals inside the squeeze chute) as well as the flight speed (FS) and temperament score (TS). Reproductive traits included i) heifer rebreeding (HR), which evaluates heifers’ ability to become pregnant, given that they had calved once; and ii) stayability (STAY), which measures cows’ ability to calve at least 3 offspring before reaching 65 months of age. We used Bayesian inference and Gibbs sampling in a two-trait analysis to estimate genetic parameters applying a linear model for FS and threshold models for MOV, TEN, CS, TS, HR and STAY. The animal model included contemporary group as a fixed effect, direct additive genetic and residual effects as random effects, and animal age at yearling as a covariate (with linear and quadratic effects). Heritability estimates for MOV, TEN, CS, FS, TS, HR and STAY were 0.14 ± 0.04, 0.11 ± 0.03, 0.09 ± 0.03, 0.22 ± 0.02, 0.19 ± 0.04, 0.13 ± 0.02 and 0.13 ± 0.02, respectively. The genetic correlation estimates were low to moderate and the highest values (in magnitude) were − 0.19 ± 0.21 (HR-CS), − 0.21 ± 0.15 (STAY-TEN) and − 0.24 ± 0.16 (STAY-CS), indicating that the selection to improve cattle temperament does not negatively affect HR and STAY. These results indicate that all traits had sufficient genetic variability to respond to direct selection; however, given the low estimated heritability, we expect to see only long-term genetic changes. Genetic correlations showed that there is no antagonism of temperament with fertility and longevity; however, we recommend including these traits as selection criteria in Nellore breeding programs to obtain satisfactory genetic changes.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Faculty of Agricultural and Veterinary Sciences São Paulo State University (FCAV/UNESP) Animal Science DepartmentFederal University of Juiz de Fora/UFJF – Zoology Dept.National Council for Scientific and Technological Development (CNPq)Faculty of Agricultural and Veterinary Sciences São Paulo State University (FCAV/UNESP) Animal Science DepartmentFAPESP: 2009/53609-7Universidade Estadual Paulista (Unesp)Federal University of Juiz de Fora/UFJF – Zoology Dept.National Council for Scientific and Technological Development (CNPq)Valente, T. S. [UNESP]Albito, O. D. [UNESP]Sant'Anna, A. C.Carvalheiro, R. [UNESP]Baldi, F. [UNESP]Albuquerque, L. G. [UNESP]da Costa, M.J.R. Paranhos [UNESP]2018-12-11T17:18:20Z2018-12-11T17:18:20Z2017-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article45-50application/pdfhttp://dx.doi.org/10.1016/j.livsci.2017.10.010Livestock Science, v. 206, p. 45-50.1871-1413http://hdl.handle.net/11449/17596310.1016/j.livsci.2017.10.0102-s2.0-850426725292-s2.0-85042672529.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLivestock Science0,730info:eu-repo/semantics/openAccess2024-06-07T18:40:27Zoai:repositorio.unesp.br:11449/175963Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:31:45.436429Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore cattle |
title |
Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore cattle |
spellingShingle |
Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore cattle Valente, T. S. [UNESP] Flight speed test Genetic correlation Longevity Reactivity Reproductive traits |
title_short |
Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore cattle |
title_full |
Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore cattle |
title_fullStr |
Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore cattle |
title_full_unstemmed |
Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore cattle |
title_sort |
Genetic parameter estimates for temperament, heifer rebreeding, and stayability in Nellore cattle |
author |
Valente, T. S. [UNESP] |
author_facet |
Valente, T. S. [UNESP] Albito, O. D. [UNESP] Sant'Anna, A. C. Carvalheiro, R. [UNESP] Baldi, F. [UNESP] Albuquerque, L. G. [UNESP] da Costa, M.J.R. Paranhos [UNESP] |
author_role |
author |
author2 |
Albito, O. D. [UNESP] Sant'Anna, A. C. Carvalheiro, R. [UNESP] Baldi, F. [UNESP] Albuquerque, L. G. [UNESP] da Costa, M.J.R. Paranhos [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Federal University of Juiz de Fora/UFJF – Zoology Dept. National Council for Scientific and Technological Development (CNPq) |
dc.contributor.author.fl_str_mv |
Valente, T. S. [UNESP] Albito, O. D. [UNESP] Sant'Anna, A. C. Carvalheiro, R. [UNESP] Baldi, F. [UNESP] Albuquerque, L. G. [UNESP] da Costa, M.J.R. Paranhos [UNESP] |
dc.subject.por.fl_str_mv |
Flight speed test Genetic correlation Longevity Reactivity Reproductive traits |
topic |
Flight speed test Genetic correlation Longevity Reactivity Reproductive traits |
description |
The aim of this study was to estimate heritability for five temperament and two reproductive traits in Nellore cattle and to estimate genetic and phenotypic correlations among them. Temperament was evaluated using the movement (MOV), tension (TEN) and crush (CS) scores (measured with animals inside the squeeze chute) as well as the flight speed (FS) and temperament score (TS). Reproductive traits included i) heifer rebreeding (HR), which evaluates heifers’ ability to become pregnant, given that they had calved once; and ii) stayability (STAY), which measures cows’ ability to calve at least 3 offspring before reaching 65 months of age. We used Bayesian inference and Gibbs sampling in a two-trait analysis to estimate genetic parameters applying a linear model for FS and threshold models for MOV, TEN, CS, TS, HR and STAY. The animal model included contemporary group as a fixed effect, direct additive genetic and residual effects as random effects, and animal age at yearling as a covariate (with linear and quadratic effects). Heritability estimates for MOV, TEN, CS, FS, TS, HR and STAY were 0.14 ± 0.04, 0.11 ± 0.03, 0.09 ± 0.03, 0.22 ± 0.02, 0.19 ± 0.04, 0.13 ± 0.02 and 0.13 ± 0.02, respectively. The genetic correlation estimates were low to moderate and the highest values (in magnitude) were − 0.19 ± 0.21 (HR-CS), − 0.21 ± 0.15 (STAY-TEN) and − 0.24 ± 0.16 (STAY-CS), indicating that the selection to improve cattle temperament does not negatively affect HR and STAY. These results indicate that all traits had sufficient genetic variability to respond to direct selection; however, given the low estimated heritability, we expect to see only long-term genetic changes. Genetic correlations showed that there is no antagonism of temperament with fertility and longevity; however, we recommend including these traits as selection criteria in Nellore breeding programs to obtain satisfactory genetic changes. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-01 2018-12-11T17:18:20Z 2018-12-11T17:18:20Z |
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/10.1016/j.livsci.2017.10.010 Livestock Science, v. 206, p. 45-50. 1871-1413 http://hdl.handle.net/11449/175963 10.1016/j.livsci.2017.10.010 2-s2.0-85042672529 2-s2.0-85042672529.pdf |
url |
http://dx.doi.org/10.1016/j.livsci.2017.10.010 http://hdl.handle.net/11449/175963 |
identifier_str_mv |
Livestock Science, v. 206, p. 45-50. 1871-1413 10.1016/j.livsci.2017.10.010 2-s2.0-85042672529 2-s2.0-85042672529.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Livestock Science 0,730 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
45-50 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 |
|
_version_ |
1808128526812971008 |