Estimation of genetic parameters for milking temperament in Holstein-Gyr cows.
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155643 https://doi.org/10.3389/fanim.2023.1187273 |
Resumo: | Introduction: Dairy cattle with poor temperament can cause several inconveniences during milking, leading to labor difficulties, increasing the risk of accidents with animals and workers, and compromising milk yield and quality. This study aimed to estimate variance components and genetic parameters for milking temperament and its genetic correlations with milk yield in crossbred Holstein-Gyr cattle. Methods: Data were collected at three commercial farms, resulting in 5,904 records from 1,212 primiparous and multiparous lactating cows. Milking temperament (MT), measured as the milking temperament of each cow, was assessed during pre-milking udder preparation (RP) and when fitting the milking cluster (RF) by ascribing scores from 1 (cow stands quietly) to 8 (the cow is very agitated, with vigorous movements and frequent kicking). The number of steps and kicks were also recorded during pre-milking udder preparation (SRP and KRP, respectively) and when fitting the milking cluster (SRF and KRF, respectively). Milk yield (MY) was obtained from each farm database. In two of them, MY was recorded during the monthly milk control (that could or could not coincide with the date when the milking temperament assessments were carried out) and in the remaining farm, MY was recorded on the same day that the milking temperament assessments were made. Genetic parameters were estimated using the THRGibbs1f90 program applying a threshold model, which included 89 contemporary groups as fixed effects, animal age at the assessment day and the number of days in milking as covariates, and direct additive genetic and residual effects as random effects. Results and discussions: The heritability estimates were MT= 0.14 ± 0.03 (for both, MRP and MRF), MY= 0.11 ± 0.08, SRP= 0.05 ± 0.03, KRP= 0.14 ± 0.05, SRF= 0.10 ± 0.05, and KRF= 0.32 ± 0.16. The repeatability estimates were 0.38 ± 0.05, 0.42 ± 0.02, and 0.84 ± 0.006 for MTRP, MTRF, and MY, respectively; and 0.38 ± 0.02, 0.30 ± 0.07, 0.52 ± 0.02, and 0.46 ± 0.15 for SRP, KRP, SRF, and KRF, respectively. The estimates of most genetic correlation coefficients between MTRP-MTRF were all strong and positive (MTRR-MTRF= 0.63 ± 0.10, MTRP-SRP= 0.65 ± 0.12, MTRP-KRP= 0.56 ± 0.16, MTRF-SRF= 0.77 ± 0.06, and MTRF-KRF= 0.56 ± 0.34) except for MY (MTRP-MY= 0.26 ± 0.26 and MTRF-MY= 0.21 ± 0.23). Despite the low magnitude of MT heritability, it can be included as a selection trait in the breeding program of Holsteins-Gyr cattle, although its genetic progress will be seen only in the long term. Due to the low accuracy of the genetic correlation estimates between MT and MY and the high range of the 95% posterior density interval, it cannot be affirmed by this study that the selection of a milking temperament trait will infer on milk yield. More data is therefore needed per cow and more cows need to be observed and measured to increase the reliability of the estimation of these correlations to be able to accurately interpret the results. |
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Estimation of genetic parameters for milking temperament in Holstein-Gyr cows.Correlação genéticaHerdabilidadeReatividadeTrabalhabilidadeGado LeiteiroParâmetro GenéticoGado HolandêsGirolandoIntroduction: Dairy cattle with poor temperament can cause several inconveniences during milking, leading to labor difficulties, increasing the risk of accidents with animals and workers, and compromising milk yield and quality. This study aimed to estimate variance components and genetic parameters for milking temperament and its genetic correlations with milk yield in crossbred Holstein-Gyr cattle. Methods: Data were collected at three commercial farms, resulting in 5,904 records from 1,212 primiparous and multiparous lactating cows. Milking temperament (MT), measured as the milking temperament of each cow, was assessed during pre-milking udder preparation (RP) and when fitting the milking cluster (RF) by ascribing scores from 1 (cow stands quietly) to 8 (the cow is very agitated, with vigorous movements and frequent kicking). The number of steps and kicks were also recorded during pre-milking udder preparation (SRP and KRP, respectively) and when fitting the milking cluster (SRF and KRF, respectively). Milk yield (MY) was obtained from each farm database. In two of them, MY was recorded during the monthly milk control (that could or could not coincide with the date when the milking temperament assessments were carried out) and in the remaining farm, MY was recorded on the same day that the milking temperament assessments were made. Genetic parameters were estimated using the THRGibbs1f90 program applying a threshold model, which included 89 contemporary groups as fixed effects, animal age at the assessment day and the number of days in milking as covariates, and direct additive genetic and residual effects as random effects. Results and discussions: The heritability estimates were MT= 0.14 ± 0.03 (for both, MRP and MRF), MY= 0.11 ± 0.08, SRP= 0.05 ± 0.03, KRP= 0.14 ± 0.05, SRF= 0.10 ± 0.05, and KRF= 0.32 ± 0.16. The repeatability estimates were 0.38 ± 0.05, 0.42 ± 0.02, and 0.84 ± 0.006 for MTRP, MTRF, and MY, respectively; and 0.38 ± 0.02, 0.30 ± 0.07, 0.52 ± 0.02, and 0.46 ± 0.15 for SRP, KRP, SRF, and KRF, respectively. The estimates of most genetic correlation coefficients between MTRP-MTRF were all strong and positive (MTRR-MTRF= 0.63 ± 0.10, MTRP-SRP= 0.65 ± 0.12, MTRP-KRP= 0.56 ± 0.16, MTRF-SRF= 0.77 ± 0.06, and MTRF-KRF= 0.56 ± 0.34) except for MY (MTRP-MY= 0.26 ± 0.26 and MTRF-MY= 0.21 ± 0.23). Despite the low magnitude of MT heritability, it can be included as a selection trait in the breeding program of Holsteins-Gyr cattle, although its genetic progress will be seen only in the long term. Due to the low accuracy of the genetic correlation estimates between MT and MY and the high range of the 95% posterior density interval, it cannot be affirmed by this study that the selection of a milking temperament trait will infer on milk yield. More data is therefore needed per cow and more cows need to be observed and measured to increase the reliability of the estimation of these correlations to be able to accurately interpret the results.PAULA A. BATISTA TABORDA, Universidade Estadual Paulista; TIAGO DA SILVA VALENTE, University of Alberta; MONIQUE VALERIA DE LIMA CARVALHAL, CNPq; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; MATEUS J. R. PARANHOS DA COSTA, Universidade Estadual Paulista.TABORDA, P. A. B.VALENTE, T. da S.CARVALHAL, M. V. de L.SILVA, M. V. G. B.COSTA, M. J. R. P. da2023-08-04T10:23:39Z2023-08-04T10:23:39Z2023-08-042023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFrontiers in Animal Science, v. 4, 1187273, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155643https://doi.org/10.3389/fanim.2023.1187273enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-08-04T10:23:39Zoai:www.alice.cnptia.embrapa.br:doc/1155643Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-08-04T10:23:39falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-08-04T10:23:39Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows. |
title |
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows. |
spellingShingle |
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows. TABORDA, P. A. B. Correlação genética Herdabilidade Reatividade Trabalhabilidade Gado Leiteiro Parâmetro Genético Gado Holandês Girolando |
title_short |
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows. |
title_full |
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows. |
title_fullStr |
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows. |
title_full_unstemmed |
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows. |
title_sort |
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows. |
author |
TABORDA, P. A. B. |
author_facet |
TABORDA, P. A. B. VALENTE, T. da S. CARVALHAL, M. V. de L. SILVA, M. V. G. B. COSTA, M. J. R. P. da |
author_role |
author |
author2 |
VALENTE, T. da S. CARVALHAL, M. V. de L. SILVA, M. V. G. B. COSTA, M. J. R. P. da |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
PAULA A. BATISTA TABORDA, Universidade Estadual Paulista; TIAGO DA SILVA VALENTE, University of Alberta; MONIQUE VALERIA DE LIMA CARVALHAL, CNPq; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; MATEUS J. R. PARANHOS DA COSTA, Universidade Estadual Paulista. |
dc.contributor.author.fl_str_mv |
TABORDA, P. A. B. VALENTE, T. da S. CARVALHAL, M. V. de L. SILVA, M. V. G. B. COSTA, M. J. R. P. da |
dc.subject.por.fl_str_mv |
Correlação genética Herdabilidade Reatividade Trabalhabilidade Gado Leiteiro Parâmetro Genético Gado Holandês Girolando |
topic |
Correlação genética Herdabilidade Reatividade Trabalhabilidade Gado Leiteiro Parâmetro Genético Gado Holandês Girolando |
description |
Introduction: Dairy cattle with poor temperament can cause several inconveniences during milking, leading to labor difficulties, increasing the risk of accidents with animals and workers, and compromising milk yield and quality. This study aimed to estimate variance components and genetic parameters for milking temperament and its genetic correlations with milk yield in crossbred Holstein-Gyr cattle. Methods: Data were collected at three commercial farms, resulting in 5,904 records from 1,212 primiparous and multiparous lactating cows. Milking temperament (MT), measured as the milking temperament of each cow, was assessed during pre-milking udder preparation (RP) and when fitting the milking cluster (RF) by ascribing scores from 1 (cow stands quietly) to 8 (the cow is very agitated, with vigorous movements and frequent kicking). The number of steps and kicks were also recorded during pre-milking udder preparation (SRP and KRP, respectively) and when fitting the milking cluster (SRF and KRF, respectively). Milk yield (MY) was obtained from each farm database. In two of them, MY was recorded during the monthly milk control (that could or could not coincide with the date when the milking temperament assessments were carried out) and in the remaining farm, MY was recorded on the same day that the milking temperament assessments were made. Genetic parameters were estimated using the THRGibbs1f90 program applying a threshold model, which included 89 contemporary groups as fixed effects, animal age at the assessment day and the number of days in milking as covariates, and direct additive genetic and residual effects as random effects. Results and discussions: The heritability estimates were MT= 0.14 ± 0.03 (for both, MRP and MRF), MY= 0.11 ± 0.08, SRP= 0.05 ± 0.03, KRP= 0.14 ± 0.05, SRF= 0.10 ± 0.05, and KRF= 0.32 ± 0.16. The repeatability estimates were 0.38 ± 0.05, 0.42 ± 0.02, and 0.84 ± 0.006 for MTRP, MTRF, and MY, respectively; and 0.38 ± 0.02, 0.30 ± 0.07, 0.52 ± 0.02, and 0.46 ± 0.15 for SRP, KRP, SRF, and KRF, respectively. The estimates of most genetic correlation coefficients between MTRP-MTRF were all strong and positive (MTRR-MTRF= 0.63 ± 0.10, MTRP-SRP= 0.65 ± 0.12, MTRP-KRP= 0.56 ± 0.16, MTRF-SRF= 0.77 ± 0.06, and MTRF-KRF= 0.56 ± 0.34) except for MY (MTRP-MY= 0.26 ± 0.26 and MTRF-MY= 0.21 ± 0.23). Despite the low magnitude of MT heritability, it can be included as a selection trait in the breeding program of Holsteins-Gyr cattle, although its genetic progress will be seen only in the long term. Due to the low accuracy of the genetic correlation estimates between MT and MY and the high range of the 95% posterior density interval, it cannot be affirmed by this study that the selection of a milking temperament trait will infer on milk yield. More data is therefore needed per cow and more cows need to be observed and measured to increase the reliability of the estimation of these correlations to be able to accurately interpret the results. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-08-04T10:23:39Z 2023-08-04T10:23:39Z 2023-08-04 2023 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Frontiers in Animal Science, v. 4, 1187273, 2023. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155643 https://doi.org/10.3389/fanim.2023.1187273 |
identifier_str_mv |
Frontiers in Animal Science, v. 4, 1187273, 2023. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155643 https://doi.org/10.3389/fanim.2023.1187273 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503547937619968 |