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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Universidade Federal de Santa Maria
2017
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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 |
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Rodrigues,Liz Gonçalves Aquino,Maria Helena Cosendey de Silva,Márcio Roberto Mendonça,Letícia Caldas Mendonça,Juliana França Monteiro de Souza,Guilherme Nunes de |
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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. |
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Universidade Federal de Santa Maria |
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2017 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400451 |
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