Effectiveness of milking management practices for SCC and TBC levels in milk
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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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Revista Brasileira de Zootecnia (Online) |
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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982020000100106 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982020000100106 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.37496/rbz4920190130 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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) instacron:SBZ |
instname_str |
Sociedade Brasileira de Zootecnia (SBZ) |
instacron_str |
SBZ |
institution |
SBZ |
reponame_str |
Revista Brasileira de Zootecnia (Online) |
collection |
Revista Brasileira de Zootecnia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ) |
repository.mail.fl_str_mv |
||bz@sbz.org.br|| secretariarbz@sbz.org.br |
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1750318153634676736 |