A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States

ABSTRACT: Bulk tank somatic cell counts (BTSCC) is widely used to monitore the mammary gland health at the herd and regional level. The BTSCC time series from specific regions or countries can be used to compare the mammary gland health and estimate the trend of subclinical mastitis at the regional level. Three time series of BTSCC from dairy herds located in the USA and the Southeastern Brazil were evaluated from 1995 to 2014. Descriptive statistics and a linear regression model were used to evaluate the data of the BTSCC time series. The mean of annual geometric mean of BTSCC (AGM) and the percentage of dairy herds with a BTSCC greater than 400,000 cells mL-1 (%>400) were significantly different (P<0.05) according to the countries and the times series. Linear regression model used for the USA time series was statistically significant for AGM and the %>400 (P<0.05). The first and second USA time series presented an increasing and decreasing trend for AGM and the %>400, respectively. The linear regression model for the Brazil time series was not significant (P>0.05) for both dependent variables (AGM and %>400). The Brazil time series showed no increasing or decreasing trend for the AGM and %>400. Consequently, approximately 40 to 50% of the dairy herds from southeastern Brazil will not achieve the regulatory limits for BTSCC over the next years.

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Main Authors: Rodrigues,Liz Gonçalves, Aquino,Maria Helena Cosendey de, Silva,Márcio Roberto, Mendonça,Letícia Caldas, Mendonça,Juliana França Monteiro de, Souza,Guilherme Nunes de
Format: Digital revista
Language:English
Published: Universidade Federal de Santa Maria 2017
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400451
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spelling oai:scielo:S0103-847820170004004512017-03-03A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United StatesRodrigues,Liz GonçalvesAquino,Maria Helena Cosendey deSilva,Márcio RobertoMendonça,Letícia CaldasMendonça,Juliana França Monteiro deSouza,Guilherme Nunes de bulk tank somatic cell counts time series bovine mastitis Brazil United States ABSTRACT: Bulk tank somatic cell counts (BTSCC) is widely used to monitore the mammary gland health at the herd and regional level. The BTSCC time series from specific regions or countries can be used to compare the mammary gland health and estimate the trend of subclinical mastitis at the regional level. Three time series of BTSCC from dairy herds located in the USA and the Southeastern Brazil were evaluated from 1995 to 2014. Descriptive statistics and a linear regression model were used to evaluate the data of the BTSCC time series. The mean of annual geometric mean of BTSCC (AGM) and the percentage of dairy herds with a BTSCC greater than 400,000 cells mL-1 (%>400) were significantly different (P<0.05) according to the countries and the times series. Linear regression model used for the USA time series was statistically significant for AGM and the %>400 (P<0.05). The first and second USA time series presented an increasing and decreasing trend for AGM and the %>400, respectively. The linear regression model for the Brazil time series was not significant (P>0.05) for both dependent variables (AGM and %>400). The Brazil time series showed no increasing or decreasing trend for the AGM and %>400. Consequently, approximately 40 to 50% of the dairy herds from southeastern Brazil will not achieve the regulatory limits for BTSCC over the next years.info:eu-repo/semantics/openAccessUniversidade Federal de Santa MariaCiência Rural v.47 n.4 20172017-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400451en10.1590/0103-8478cr20160618
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
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databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Rodrigues,Liz Gonçalves
Aquino,Maria Helena Cosendey de
Silva,Márcio Roberto
Mendonça,Letícia Caldas
Mendonça,Juliana França Monteiro de
Souza,Guilherme Nunes de
spellingShingle Rodrigues,Liz Gonçalves
Aquino,Maria Helena Cosendey de
Silva,Márcio Roberto
Mendonça,Letícia Caldas
Mendonça,Juliana França Monteiro de
Souza,Guilherme Nunes de
A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States
author_facet Rodrigues,Liz Gonçalves
Aquino,Maria Helena Cosendey de
Silva,Márcio Roberto
Mendonça,Letícia Caldas
Mendonça,Juliana França Monteiro de
Souza,Guilherme Nunes de
author_sort Rodrigues,Liz Gonçalves
title A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States
title_short A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States
title_full A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States
title_fullStr A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States
title_full_unstemmed A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States
title_sort time series analysis of bulk tank somatic cell counts of dairy herds located in brazil and the united states
description ABSTRACT: Bulk tank somatic cell counts (BTSCC) is widely used to monitore the mammary gland health at the herd and regional level. The BTSCC time series from specific regions or countries can be used to compare the mammary gland health and estimate the trend of subclinical mastitis at the regional level. Three time series of BTSCC from dairy herds located in the USA and the Southeastern Brazil were evaluated from 1995 to 2014. Descriptive statistics and a linear regression model were used to evaluate the data of the BTSCC time series. The mean of annual geometric mean of BTSCC (AGM) and the percentage of dairy herds with a BTSCC greater than 400,000 cells mL-1 (%>400) were significantly different (P<0.05) according to the countries and the times series. Linear regression model used for the USA time series was statistically significant for AGM and the %>400 (P<0.05). The first and second USA time series presented an increasing and decreasing trend for AGM and the %>400, respectively. The linear regression model for the Brazil time series was not significant (P>0.05) for both dependent variables (AGM and %>400). The Brazil time series showed no increasing or decreasing trend for the AGM and %>400. Consequently, approximately 40 to 50% of the dairy herds from southeastern Brazil will not achieve the regulatory limits for BTSCC over the next years.
publisher Universidade Federal de Santa Maria
publishDate 2017
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400451
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