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...

Full description

Bibliographic Details
Main Authors: Liz Gonçalves Rodrigues, Maria Helena Cosendey de Aquino, Márcio Roberto Silva, Letícia Caldas Mendonça, Juliana França Monteiro de Mendonça, Guilherme Nunes de Souza
Format: Article
Language:English
Published: Universidade Federal de Santa Maria
Series:Ciência Rural
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400451&lng=en&tlng=en
id doaj-8715e3ca57cc4941a7941390b685c38b
record_format Article
spelling doaj-8715e3ca57cc4941a7941390b685c38b2020-11-25T00:26:03ZengUniversidade Federal de Santa MariaCiência Rural1678-459647410.1590/0103-8478cr20160618S0103-84782017000400451A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United StatesLiz Gonçalves RodriguesMaria Helena Cosendey de AquinoMárcio Roberto SilvaLetícia Caldas MendonçaJuliana França Monteiro de MendonçaGuilherme Nunes de SouzaABSTRACT: 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400451&lng=en&tlng=enbulk tank somatic cell countstime seriesbovine mastitisBrazilUnited States
collection DOAJ
language English
format Article
sources DOAJ
author Liz Gonçalves Rodrigues
Maria Helena Cosendey de Aquino
Márcio Roberto Silva
Letícia Caldas Mendonça
Juliana França Monteiro de Mendonça
Guilherme Nunes de Souza
spellingShingle Liz Gonçalves Rodrigues
Maria Helena Cosendey de Aquino
Márcio Roberto Silva
Letícia Caldas Mendonça
Juliana França Monteiro de Mendonça
Guilherme Nunes de Souza
A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States
Ciência Rural
bulk tank somatic cell counts
time series
bovine mastitis
Brazil
United States
author_facet Liz Gonçalves Rodrigues
Maria Helena Cosendey de Aquino
Márcio Roberto Silva
Letícia Caldas Mendonça
Juliana França Monteiro de Mendonça
Guilherme Nunes de Souza
author_sort Liz Gonçalves Rodrigues
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
publisher Universidade Federal de Santa Maria
series Ciência Rural
issn 1678-4596
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.
topic bulk tank somatic cell counts
time series
bovine mastitis
Brazil
United States
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400451&lng=en&tlng=en
work_keys_str_mv AT lizgoncalvesrodrigues atimeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT mariahelenacosendeydeaquino atimeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT marciorobertosilva atimeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT leticiacaldasmendonca atimeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT julianafrancamonteirodemendonca atimeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT guilhermenunesdesouza atimeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT lizgoncalvesrodrigues timeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT mariahelenacosendeydeaquino timeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT marciorobertosilva timeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT leticiacaldasmendonca timeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT julianafrancamonteirodemendonca timeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
AT guilhermenunesdesouza timeseriesanalysisofbulktanksomaticcellcountsofdairyherdslocatedinbrazilandtheunitedstates
_version_ 1725346192127164416