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Prevalence of Sub-clinical Mastitis in High Yielding Crossbred Cows Using Draminski Mastitis Detector

N. U. Siddiquee
Department of Animal Breeding and Genetics,

T. K.Tripura
Department of Medicine, Bangladesh Agricultural University,Mymensingh-2202, Bangladesh.

M. T. Islam
Department of Medicine, Bangladesh Agricultural University,Mymensingh-2202, Bangladesh.

S. A. Bhuiyan
Department of Animal Breeding and Genetics,

A. K. M. A. Rahman
Department of Medicine, Bangladesh Agricultural University,Mymensingh-2202, Bangladesh.

A. K. F. H. Bhuiyan
Department of Animal Breeding and Genetics,

Abstract/ Executive Summary:

The subclinical mastitis (SCM) causes great economical loss in dairy farms due to reduction in milk production. The objectives of the study were to know the prevalence of subclinical mastitis in lactating cows using Draminski mastitis detector and to evaluate the efficacy of intramammary infusion against SCM in lactating dairy cows. The study was conducted in crossbred dairy cattle in peri-urban dairy production system within seven kilometers around the artificial insemination Centre, Bangladesh Agricultural University, Mymensingh during April, 2011 to May, 2012. The overall prevalence of SCM in lactating cows was 55.1%. The highest prevalence of SCM was 84.4% in more than 7 years old cows. The prevalence of SCM was significantly (p<0.001) increasing with the advancement of the age. The prevalence of SCM was significantly (p<0.05) higher (73.7%) in cows producing more than 15 liters of milk. Cows with 75% Holstein Friesian genotype experienced more SCM (63.0%) than other genotypes. An increased prevalence of SCM with increased number of parity in cows was also observed. The prevalence of SCM was significantly (p<0.001) higher in cows with parity more than five. The highest prevalence of SCM was recorded in left hind quarter (32.3%) but the difference was not significant (p>0.05) statistically. The efficacy of Neomastipra-JR5® as intra mammary infusion against SCM in lactating cows was 78.2%. Draminski mastitis detector could be a potential candidate for the diagnosis of SCM in dairy animals in Bangladesh context. But before introducing this machine in the field it should be validated either by comparing with a gold standard test like somatic cell counter or by using latent class evaluation in a multi-test approach.

Keywords: Sub-clinical mastitis,Cross-bred cows, Draminski detector, Peri-urban dairying,Treatment

Location: BAU, Mymensingh

Start Date: 01-04-2010

End Date: 31-05-2012

Program Area: Animal Health and Management

Commodity: Cow

Objectives:

To evaluate the efficacy of intra mammary infusion against SCM in lactating dairy cows.

Methodology:

Study sites and duration: The study was conducted in crossbred dairy cattle in peri-urban dairy production system within seven kilometers around the Artificial Insemination Centre, Bangladesh Agricultural University, Mymensingh. Lactating dairy cows of the 78 registered farmers of an on-going project with title “Production of HYV vis-à-vis Indigenous Seed Bulls to Support Smallholder Dairying in Bangladesh” were included in this study. The study was carried out during the period from April 2011 to May 2012. Study design and data collection A total of 158 registered cows from 78 herd of the said area were ear tagged to identify them individually. Milk samples were collected from all of the registered cows and cow-level data on age, milk yield, genotype and parity were recorded by using a pretested questionnaire. Sub-clinical Mastitis test with Draminski mastitis detector One hundred fifty eight (158) registered cows were tested with the Draminski machine (Figure 1) to detect sub clinical mastitis (SCM) in 4 quarters of the udder. The test was performed according to the instructions of the manufacturer. In brief, a minimum of 15 ml of the first portion of milk was poured directly from the teat to measuring cup. Then the switch on button was pressed to read the result in unit. The result recorded and milk poured out and the steps repeated for other quarters. The electrodes needed to be cleaned with methylated spirits on a clean cloth or tissue, or similarly with kitchen detergent and rinse off after each quarter. A reading below 250 units was considered as the cut-off value for the subclinical mastitis using Draminski mastitis detector. Treatment of SCM with intra mammary infusion using Neomastipra JR5 in lactating cows All of the 87 SCM infected cows were treated with Neomastipra JR5 at 12 hours interval for 3 days in intra mammary route. Statistical analysis The association of subclinical mastitis with age, milk yield, genotype and parity was determined by chi-square test using SPSS-11.5 computer package program.

Source of Information: Bangl. J. Vet. Med. (2013). 11 (1): 37-41 : 1729-7893 (Print) 2308-0922 (Online)

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

The overall prevalence of SCM in lactating cows was 55.1%. The highest prevalence of SCM was 84.4% in more than 7 years old cows. The prevalence of SCM was significantly (p<0.001) increasing with the advancement of the age. The prevalence of SCM was significantly (p<0.05) higher (73.7%) in cows producing more than 15 liters of milk. Cows with 75% Holstein Friesian genotype experienced more SCM (63.0%) than other genotypes. An increased prevalence of SCM with increased number of parity in cows was also observed. The prevalence of SCM was significantly (p<0.001) higher in cows with parity more than five. The highest prevalence of SCM was recorded in left hind quarter (32.3%) but the difference was not significant (p>0.05) statistically. The efficacy of Neomastipra-JR5® as intra mammary infusion against SCM in lactating cows was 78.2%. Draminski mastitis detector could be a potential candidate for the diagnosis of SCM in dairy animals in Bangladesh context. But before introducing this machine in the field it should be validated either by comparing with a gold standard test like somatic cell counter or by using latent class evaluation in a multi-test approach.

Knowledge Management: Journal