Effectiveness of milking management practices for SCC and TBC levels in milk

Detalhes bibliográficos
Autor(a) principal: Daneluz,Marina Oliveira
Data de Publicação: 2020
Outros Autores: Canever,Mario Duarte, Lima,Helenice González de, Bermudes,Rogério Folha, Ribeiro,Felipe Garcia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Zootecnia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982020000100106
Resumo: ABSTRACT We aimed to evaluate the impact of milking management practices on milk quality though somatic cell count (SCC) and total bacterial count (TBC). By means of a survey that included farmers associated to two cooperatives, namely Cosulati in the state of Rio Grande do Sul and Castrolanda in the state of Paraná, the hypothesis that milking handling practices impact SCC and TBC levels negatively, regardless of the technological development level of the farm, was analyzed. For such, the quantile regression method was used to estimate models for the 10th, 50th, and 90th quantiles. The results confirmed that SCC and TBC levels decrease as the number of practices increases. However, only three practices impact SCC and TBC levels significantly, and their impact is not related to the farm technological level, according to tests performed by quantile regression. Finally, the study showed that some milk quality and management practices affect somatic cell count and total bacterial count more than others, which consists of using the correct active principle during dry cattle, post-dip, and the water temperature control periods.
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spelling Effectiveness of milking management practices for SCC and TBC levels in milkdairyfarmproduction systemABSTRACT We aimed to evaluate the impact of milking management practices on milk quality though somatic cell count (SCC) and total bacterial count (TBC). By means of a survey that included farmers associated to two cooperatives, namely Cosulati in the state of Rio Grande do Sul and Castrolanda in the state of Paraná, the hypothesis that milking handling practices impact SCC and TBC levels negatively, regardless of the technological development level of the farm, was analyzed. For such, the quantile regression method was used to estimate models for the 10th, 50th, and 90th quantiles. The results confirmed that SCC and TBC levels decrease as the number of practices increases. However, only three practices impact SCC and TBC levels significantly, and their impact is not related to the farm technological level, according to tests performed by quantile regression. Finally, the study showed that some milk quality and management practices affect somatic cell count and total bacterial count more than others, which consists of using the correct active principle during dry cattle, post-dip, and the water temperature control periods.Sociedade Brasileira de Zootecnia2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982020000100106Revista Brasileira de Zootecnia v.49 2020reponame:Revista Brasileira de Zootecnia (Online)instname:Sociedade Brasileira de Zootecnia (SBZ)instacron:SBZ10.37496/rbz4920190130info:eu-repo/semantics/openAccessDaneluz,Marina OliveiraCanever,Mario DuarteLima,Helenice González deBermudes,Rogério FolhaRibeiro,Felipe Garciaeng2020-06-23T00:00:00Zoai:scielo:S1516-35982020000100106Revistahttps://www.rbz.org.br/pt-br/https://old.scielo.br/oai/scielo-oai.php||bz@sbz.org.br|| secretariarbz@sbz.org.br1806-92901516-3598opendoar:2020-06-23T00:00Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)false
dc.title.none.fl_str_mv Effectiveness of milking management practices for SCC and TBC levels in milk
title Effectiveness of milking management practices for SCC and TBC levels in milk
spellingShingle Effectiveness of milking management practices for SCC and TBC levels in milk
Daneluz,Marina Oliveira
dairy
farm
production system
title_short Effectiveness of milking management practices for SCC and TBC levels in milk
title_full Effectiveness of milking management practices for SCC and TBC levels in milk
title_fullStr Effectiveness of milking management practices for SCC and TBC levels in milk
title_full_unstemmed Effectiveness of milking management practices for SCC and TBC levels in milk
title_sort Effectiveness of milking management practices for SCC and TBC levels in milk
author Daneluz,Marina Oliveira
author_facet Daneluz,Marina Oliveira
Canever,Mario Duarte
Lima,Helenice González de
Bermudes,Rogério Folha
Ribeiro,Felipe Garcia
author_role author
author2 Canever,Mario Duarte
Lima,Helenice González de
Bermudes,Rogério Folha
Ribeiro,Felipe Garcia
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Daneluz,Marina Oliveira
Canever,Mario Duarte
Lima,Helenice González de
Bermudes,Rogério Folha
Ribeiro,Felipe Garcia
dc.subject.por.fl_str_mv dairy
farm
production system
topic dairy
farm
production system
description ABSTRACT We aimed to evaluate the impact of milking management practices on milk quality though somatic cell count (SCC) and total bacterial count (TBC). By means of a survey that included farmers associated to two cooperatives, namely Cosulati in the state of Rio Grande do Sul and Castrolanda in the state of Paraná, the hypothesis that milking handling practices impact SCC and TBC levels negatively, regardless of the technological development level of the farm, was analyzed. For such, the quantile regression method was used to estimate models for the 10th, 50th, and 90th quantiles. The results confirmed that SCC and TBC levels decrease as the number of practices increases. However, only three practices impact SCC and TBC levels significantly, and their impact is not related to the farm technological level, according to tests performed by quantile regression. Finally, the study showed that some milk quality and management practices affect somatic cell count and total bacterial count more than others, which consists of using the correct active principle during dry cattle, post-dip, and the water temperature control periods.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982020000100106
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.37496/rbz4920190130
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
dc.source.none.fl_str_mv Revista Brasileira de Zootecnia v.49 2020
reponame:Revista Brasileira de Zootecnia (Online)
instname:Sociedade Brasileira de Zootecnia (SBZ)
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instname_str Sociedade Brasileira de Zootecnia (SBZ)
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reponame_str Revista Brasileira de Zootecnia (Online)
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