Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds

Autores
Vissio, Claudina; Bouman, Mette; Larriestra, Alejandro Jose
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper describes the findings of static milking machine tests and milking observations on Uruguayan dairy farms. The aim of this study was to investigate the association between both milking machine performance and udder health management factors and bulk milk somatic cell count (BMSCC) in Uruguayan dairy herds. Data from 907 visits were used for the analysis. The farm visits were made between April 2006 and November 2015 and farms were located in 17 of the 19 departments of Uruguay. Each visit involved a short static machine test and observation of the milking process; the use of blanket dry cow therapy was also recorded. The BMSCC was the variable of interest. Univariable analysis was applied to explore the best set of predictors to be included in the multivariable model. A multivariable linear regression model was fitted. The median BMSCC over the years was 376 thousand cells/mL (interquartile range = 280,000–500,000 cells/mL). The final model showed a lower BMSCC for herds that used post-milking teat disinfection, applied the teat cups to dry teats and maintained the pulsation system in good working order. There was no significant association between BMSCC and blanket dry cow therapy in the final model. The association of these milking machine and udder health management factors with the BMSCC under Uruguayan conditions is relevant information for a dairy industry that needs low BMSCCs to compete on the world market.
Fil: Vissio, Claudina. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Bouman, Mette. Lactodiagnóstico Sur; Uruguay
Fil: Larriestra, Alejandro Jose. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Patología Animal; Argentina. Universidad Nacional de Villa María; Argentina
Materia
BULK MILK SOMATIC CELL COUNT
DRY TEATS
MILKING ROUTINE
POST-DIPPING
PULSATOR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/85848

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network_name_str CONICET Digital (CONICET)
spelling Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herdsVissio, ClaudinaBouman, MetteLarriestra, Alejandro JoseBULK MILK SOMATIC CELL COUNTDRY TEATSMILKING ROUTINEPOST-DIPPINGPULSATORhttps://purl.org/becyt/ford/4.3https://purl.org/becyt/ford/4This paper describes the findings of static milking machine tests and milking observations on Uruguayan dairy farms. The aim of this study was to investigate the association between both milking machine performance and udder health management factors and bulk milk somatic cell count (BMSCC) in Uruguayan dairy herds. Data from 907 visits were used for the analysis. The farm visits were made between April 2006 and November 2015 and farms were located in 17 of the 19 departments of Uruguay. Each visit involved a short static machine test and observation of the milking process; the use of blanket dry cow therapy was also recorded. The BMSCC was the variable of interest. Univariable analysis was applied to explore the best set of predictors to be included in the multivariable model. A multivariable linear regression model was fitted. The median BMSCC over the years was 376 thousand cells/mL (interquartile range = 280,000–500,000 cells/mL). The final model showed a lower BMSCC for herds that used post-milking teat disinfection, applied the teat cups to dry teats and maintained the pulsation system in good working order. There was no significant association between BMSCC and blanket dry cow therapy in the final model. The association of these milking machine and udder health management factors with the BMSCC under Uruguayan conditions is relevant information for a dairy industry that needs low BMSCCs to compete on the world market.Fil: Vissio, Claudina. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Bouman, Mette. Lactodiagnóstico Sur; UruguayFil: Larriestra, Alejandro Jose. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Patología Animal; Argentina. Universidad Nacional de Villa María; ArgentinaElsevier Science2018-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/85848Vissio, Claudina; Bouman, Mette; Larriestra, Alejandro Jose; Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds; Elsevier Science; Preventive Veterinary Medicine; 150; 2-2018; 110-1160167-5877CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0167587717305494info:eu-repo/semantics/altIdentifier/doi/10.1016/j.prevetmed.2017.12.011info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-06T12:26:59Zoai:ri.conicet.gov.ar:11336/85848instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-02-06 12:27:00.125CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds
title Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds
spellingShingle Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds
Vissio, Claudina
BULK MILK SOMATIC CELL COUNT
DRY TEATS
MILKING ROUTINE
POST-DIPPING
PULSATOR
title_short Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds
title_full Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds
title_fullStr Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds
title_full_unstemmed Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds
title_sort Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds
dc.creator.none.fl_str_mv Vissio, Claudina
Bouman, Mette
Larriestra, Alejandro Jose
author Vissio, Claudina
author_facet Vissio, Claudina
Bouman, Mette
Larriestra, Alejandro Jose
author_role author
author2 Bouman, Mette
Larriestra, Alejandro Jose
author2_role author
author
dc.subject.none.fl_str_mv BULK MILK SOMATIC CELL COUNT
DRY TEATS
MILKING ROUTINE
POST-DIPPING
PULSATOR
topic BULK MILK SOMATIC CELL COUNT
DRY TEATS
MILKING ROUTINE
POST-DIPPING
PULSATOR
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.3
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv This paper describes the findings of static milking machine tests and milking observations on Uruguayan dairy farms. The aim of this study was to investigate the association between both milking machine performance and udder health management factors and bulk milk somatic cell count (BMSCC) in Uruguayan dairy herds. Data from 907 visits were used for the analysis. The farm visits were made between April 2006 and November 2015 and farms were located in 17 of the 19 departments of Uruguay. Each visit involved a short static machine test and observation of the milking process; the use of blanket dry cow therapy was also recorded. The BMSCC was the variable of interest. Univariable analysis was applied to explore the best set of predictors to be included in the multivariable model. A multivariable linear regression model was fitted. The median BMSCC over the years was 376 thousand cells/mL (interquartile range = 280,000–500,000 cells/mL). The final model showed a lower BMSCC for herds that used post-milking teat disinfection, applied the teat cups to dry teats and maintained the pulsation system in good working order. There was no significant association between BMSCC and blanket dry cow therapy in the final model. The association of these milking machine and udder health management factors with the BMSCC under Uruguayan conditions is relevant information for a dairy industry that needs low BMSCCs to compete on the world market.
Fil: Vissio, Claudina. Universidad Nacional de Río Cuarto; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Bouman, Mette. Lactodiagnóstico Sur; Uruguay
Fil: Larriestra, Alejandro Jose. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria. Departamento de Patología Animal; Argentina. Universidad Nacional de Villa María; Argentina
description This paper describes the findings of static milking machine tests and milking observations on Uruguayan dairy farms. The aim of this study was to investigate the association between both milking machine performance and udder health management factors and bulk milk somatic cell count (BMSCC) in Uruguayan dairy herds. Data from 907 visits were used for the analysis. The farm visits were made between April 2006 and November 2015 and farms were located in 17 of the 19 departments of Uruguay. Each visit involved a short static machine test and observation of the milking process; the use of blanket dry cow therapy was also recorded. The BMSCC was the variable of interest. Univariable analysis was applied to explore the best set of predictors to be included in the multivariable model. A multivariable linear regression model was fitted. The median BMSCC over the years was 376 thousand cells/mL (interquartile range = 280,000–500,000 cells/mL). The final model showed a lower BMSCC for herds that used post-milking teat disinfection, applied the teat cups to dry teats and maintained the pulsation system in good working order. There was no significant association between BMSCC and blanket dry cow therapy in the final model. The association of these milking machine and udder health management factors with the BMSCC under Uruguayan conditions is relevant information for a dairy industry that needs low BMSCCs to compete on the world market.
publishDate 2018
dc.date.none.fl_str_mv 2018-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/85848
Vissio, Claudina; Bouman, Mette; Larriestra, Alejandro Jose; Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds; Elsevier Science; Preventive Veterinary Medicine; 150; 2-2018; 110-116
0167-5877
CONICET Digital
CONICET
url http://hdl.handle.net/11336/85848
identifier_str_mv Vissio, Claudina; Bouman, Mette; Larriestra, Alejandro Jose; Milking machine and udder health management factors associated with bulk milk somatic cell count in Uruguayan herds; Elsevier Science; Preventive Veterinary Medicine; 150; 2-2018; 110-116
0167-5877
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0167587717305494
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.prevetmed.2017.12.011
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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