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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
04/08/2023 |
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Data da última atualização: |
06/09/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TABORDA, P. A. B.; VALENTE, T. da S.; CARVALHAL, M. V. de L.; SILVA, M. V. G. B.; COSTA, M. J. R. P. da. |
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Afiliação: |
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. |
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Título: |
Estimation of genetic parameters for milking temperament in Holstein-Gyr cows. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Frontiers in Animal Science, v. 4, 1187273, 2023. |
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DOI: |
https://doi.org/10.3389/fanim.2023.1187273 |
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Idioma: |
Inglês |
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Conteúdo: |
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. MenosIntroduction: 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 ef... Mostrar Tudo |
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Palavras-Chave: |
Correlação genética; Herdabilidade; Reatividade; Trabalhabilidade. |
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Thesagro: |
Gado Holandês; Gado Leiteiro; Parâmetro Genético. |
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Thesaurus Nal: |
Girolando. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1155643/1/Estimation-of-genetic-parameters-for-milking-temperament-in-Holstein-Gyr-cows.pdf
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Marc: |
LEADER 03860naa a2200277 a 4500
001 2155643
005 2023-09-06
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3389/fanim.2023.1187273$2DOI
100 1 $aTABORDA, P. A. B.
245 $aEstimation of genetic parameters for milking temperament in Holstein-Gyr cows.$h[electronic resource]
260 $c2023
520 $aIntroduction: 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.
650 $aGirolando
650 $aGado Holandês
650 $aGado Leiteiro
650 $aParâmetro Genético
653 $aCorrelação genética
653 $aHerdabilidade
653 $aReatividade
653 $aTrabalhabilidade
700 1 $aVALENTE, T. da S.
700 1 $aCARVALHAL, M. V. de L.
700 1 $aSILVA, M. V. G. B.
700 1 $aCOSTA, M. J. R. P. da
773 $tFrontiers in Animal Science$gv. 4, 1187273, 2023.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
03/06/2009 |
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Data da última atualização: |
05/07/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
DEBIASI, H.; LEVIEN, R.; CONTE, O.; KAMIMURA, K. M. |
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Afiliação: |
HENRIQUE DEBIASI, CNPSO; OSMAR CONTE, CNPSO. |
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Título: |
Produtividade da soja e sua relação com práticas mecânicas e biológicas de manejo da compactação do solo. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE SOJA, 5.; MERCOSOJA 2009, Goiânia. Resumos... Londrina: Embrapa Soja, 2009. |
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Páginas: |
p. 21, |
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Idioma: |
Português |
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Notas: |
trab. 14. |
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Thesagro: |
Manejo do Solo; Soja. |
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Thesaurus NAL: |
Soil; Soybeans. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00653naa a2200217 a 4500
001 1471169
005 2019-07-05
008 2009 bl uuuu u00u1 u #d
100 1 $aDEBIASI, H.
245 $aProdutividade da soja e sua relação com práticas mecânicas e biológicas de manejo da compactação do solo.
260 $c2009
300 $ap. 21,
500 $atrab. 14.
650 $aSoil
650 $aSoybeans
650 $aManejo do Solo
650 $aSoja
700 1 $aLEVIEN, R.
700 1 $aCONTE, O.
700 1 $aKAMIMURA, K. M.
773 $tIn: CONGRESSO BRASILEIRO DE SOJA, 5.; MERCOSOJA 2009, Goiânia. Resumos... Londrina: Embrapa Soja, 2009.
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