Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
DOI: | 10.1016/j.smallrumres.2021.106360 |
Texto Completo: | http://dx.doi.org/10.1016/j.smallrumres.2021.106360 http://hdl.handle.net/11449/206001 |
Resumo: | The objective of this study was to identify on-farm risk factors associated with microbiological traits and somatic cell counts of goat bulk milk. A cross-sectional study was carried out on 160 goat dairy herds. Bulk tank milk samples were collected aseptically for qualitative (Salmonella enterica) and quantitative (aerobic mesophilic bacteria, total coliforms, E. coli, Staphylococcus spp. and Staphylococcus aureus) microbiological analyses. Additionally, information on various herd characteristics, general management practices, and milking procedures was collected by means of a questionnaire. A model for risk factors associated with the investigated traits was built by means of logistic regression after selection of putative variables by univariable analysis. Absence of pre-dipping, non-discharge of foremilk before milking and confirmed mastitis cases in the herds were identified as major risk factors for high aerobic plate counts. Low milk yield (< 25 kg / milk / day) was identified as a major risk factor for high somatic cell counts (SCC) in goat milk. Other variables such as long-term establishment of the herds (>7 years), the use of ponds as water source, long lactation periods (> 210 days), practice of milking in late pregnancy and non-discharge of foremilk before milking were also identified as risk factors for high SCC. The information generated by this study can support intervention measures targeting the improvement of goat milk quality, which is of paramount importance for the continuous development of the goat dairy industry. |
id |
UNSP_4bcfe32a39ef632ba675ec5931b1fde2 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/206001 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milkAerobic plate countDairy goatsIndicator microorganismsMastitisSomatic cell countsThe objective of this study was to identify on-farm risk factors associated with microbiological traits and somatic cell counts of goat bulk milk. A cross-sectional study was carried out on 160 goat dairy herds. Bulk tank milk samples were collected aseptically for qualitative (Salmonella enterica) and quantitative (aerobic mesophilic bacteria, total coliforms, E. coli, Staphylococcus spp. and Staphylococcus aureus) microbiological analyses. Additionally, information on various herd characteristics, general management practices, and milking procedures was collected by means of a questionnaire. A model for risk factors associated with the investigated traits was built by means of logistic regression after selection of putative variables by univariable analysis. Absence of pre-dipping, non-discharge of foremilk before milking and confirmed mastitis cases in the herds were identified as major risk factors for high aerobic plate counts. Low milk yield (< 25 kg / milk / day) was identified as a major risk factor for high somatic cell counts (SCC) in goat milk. Other variables such as long-term establishment of the herds (>7 years), the use of ponds as water source, long lactation periods (> 210 days), practice of milking in late pregnancy and non-discharge of foremilk before milking were also identified as risk factors for high SCC. The information generated by this study can support intervention measures targeting the improvement of goat milk quality, which is of paramount importance for the continuous development of the goat dairy industry.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Departmento de Zootecnia Centro de Ciências Agrárias Universidade Federal da Paraíba (UFPB)Departamento de Patologia Veterinária Universidade Estadual Paulista (UNESP)Centro de Saúde e Tecnologia Rural/Universidade Federal de Campina Grande (UFCG)Departamento de Nutrição Universidade Federal da Paraíba (UFPB)Departamento de Ciências Fundamentais e Sociais Universidade Federal da Paraíba (UFPB)Global One Health Initiative (GOHi) The Ohio State University (OSU)Departamento de Patologia Veterinária Universidade Estadual Paulista (UNESP)CAPES: 001Universidade Federal da Paraíba (UFPB)Universidade Estadual Paulista (Unesp)Centro de Saúde e Tecnologia Rural/Universidade Federal de Campina Grande (UFCG)The Ohio State University (OSU)Lopes Júnior, Wellington DiasMonte, Daniel Farias Marinho do [UNESP]de Leon, Candice Maria Gomes CardosoMoura, José Fabio Paulino deSilva, Núbia Michelle Vieira daQueiroga, Rita de Cássia Ramos do EgyptoGonzaga Neto, SeverinoGivisiez, Patrícia Emília NavesPereira, Walter EsfraimOliveira, Celso José Bruno de2021-06-25T10:24:56Z2021-06-25T10:24:56Z2021-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.smallrumres.2021.106360Small Ruminant Research, v. 198.0921-4488http://hdl.handle.net/11449/20600110.1016/j.smallrumres.2021.1063602-s2.0-85102049517Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSmall Ruminant Researchinfo:eu-repo/semantics/openAccess2021-10-22T20:28:57Zoai:repositorio.unesp.br:11449/206001Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:48:00.098599Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk |
title |
Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk |
spellingShingle |
Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk Lopes Júnior, Wellington Dias Aerobic plate count Dairy goats Indicator microorganisms Mastitis Somatic cell counts Lopes Júnior, Wellington Dias Aerobic plate count Dairy goats Indicator microorganisms Mastitis Somatic cell counts |
title_short |
Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk |
title_full |
Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk |
title_fullStr |
Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk |
title_full_unstemmed |
Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk |
title_sort |
Logistic regression model reveals major factors associated with total bacteria and somatic cell counts in goat bulk milk |
author |
Lopes Júnior, Wellington Dias |
author_facet |
Lopes Júnior, Wellington Dias Lopes Júnior, Wellington Dias Monte, Daniel Farias Marinho do [UNESP] de Leon, Candice Maria Gomes Cardoso Moura, José Fabio Paulino de Silva, Núbia Michelle Vieira da Queiroga, Rita de Cássia Ramos do Egypto Gonzaga Neto, Severino Givisiez, Patrícia Emília Naves Pereira, Walter Esfraim Oliveira, Celso José Bruno de Monte, Daniel Farias Marinho do [UNESP] de Leon, Candice Maria Gomes Cardoso Moura, José Fabio Paulino de Silva, Núbia Michelle Vieira da Queiroga, Rita de Cássia Ramos do Egypto Gonzaga Neto, Severino Givisiez, Patrícia Emília Naves Pereira, Walter Esfraim Oliveira, Celso José Bruno de |
author_role |
author |
author2 |
Monte, Daniel Farias Marinho do [UNESP] de Leon, Candice Maria Gomes Cardoso Moura, José Fabio Paulino de Silva, Núbia Michelle Vieira da Queiroga, Rita de Cássia Ramos do Egypto Gonzaga Neto, Severino Givisiez, Patrícia Emília Naves Pereira, Walter Esfraim Oliveira, Celso José Bruno de |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal da Paraíba (UFPB) Universidade Estadual Paulista (Unesp) Centro de Saúde e Tecnologia Rural/Universidade Federal de Campina Grande (UFCG) The Ohio State University (OSU) |
dc.contributor.author.fl_str_mv |
Lopes Júnior, Wellington Dias Monte, Daniel Farias Marinho do [UNESP] de Leon, Candice Maria Gomes Cardoso Moura, José Fabio Paulino de Silva, Núbia Michelle Vieira da Queiroga, Rita de Cássia Ramos do Egypto Gonzaga Neto, Severino Givisiez, Patrícia Emília Naves Pereira, Walter Esfraim Oliveira, Celso José Bruno de |
dc.subject.por.fl_str_mv |
Aerobic plate count Dairy goats Indicator microorganisms Mastitis Somatic cell counts |
topic |
Aerobic plate count Dairy goats Indicator microorganisms Mastitis Somatic cell counts |
description |
The objective of this study was to identify on-farm risk factors associated with microbiological traits and somatic cell counts of goat bulk milk. A cross-sectional study was carried out on 160 goat dairy herds. Bulk tank milk samples were collected aseptically for qualitative (Salmonella enterica) and quantitative (aerobic mesophilic bacteria, total coliforms, E. coli, Staphylococcus spp. and Staphylococcus aureus) microbiological analyses. Additionally, information on various herd characteristics, general management practices, and milking procedures was collected by means of a questionnaire. A model for risk factors associated with the investigated traits was built by means of logistic regression after selection of putative variables by univariable analysis. Absence of pre-dipping, non-discharge of foremilk before milking and confirmed mastitis cases in the herds were identified as major risk factors for high aerobic plate counts. Low milk yield (< 25 kg / milk / day) was identified as a major risk factor for high somatic cell counts (SCC) in goat milk. Other variables such as long-term establishment of the herds (>7 years), the use of ponds as water source, long lactation periods (> 210 days), practice of milking in late pregnancy and non-discharge of foremilk before milking were also identified as risk factors for high SCC. The information generated by this study can support intervention measures targeting the improvement of goat milk quality, which is of paramount importance for the continuous development of the goat dairy industry. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:24:56Z 2021-06-25T10:24:56Z 2021-05-01 |
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.smallrumres.2021.106360 Small Ruminant Research, v. 198. 0921-4488 http://hdl.handle.net/11449/206001 10.1016/j.smallrumres.2021.106360 2-s2.0-85102049517 |
url |
http://dx.doi.org/10.1016/j.smallrumres.2021.106360 http://hdl.handle.net/11449/206001 |
identifier_str_mv |
Small Ruminant Research, v. 198. 0921-4488 10.1016/j.smallrumres.2021.106360 2-s2.0-85102049517 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Small Ruminant Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1822218501292556288 |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.smallrumres.2021.106360 |