Prevalence and aetiology of non-clinical intramammary infection in Murciano-Granadina goats

Contreras, A.; Corrales, J.C.; Sierra, Daniel A.; Marco, Juan Carlos Gutiérrez

doi:10.1016/0921-4488(95)00651-z

Cited by 67 publications

(49 citation statements)

References 16 publications

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“…In Dutch goat dairies, however, teat dipping and dry goat therapy are almost never applied, as was the case for the herds in this study. Coagulase-negative staphylococci were cultured from 1 or both udder halves in 18% of the goats, corresponding to what has been reported in the literature (East et al, 1987;Contreras et al, 1995;Sánchez et al, 1999). The prevalence of infection increased with SCC class (Table 2).…”

Section: Imi and Sccsupporting

confidence: 48%

“…Sán-chez et al (1999) reported an animal-level prevalence of corynebacteria of 8%. Other authors reported even lower prevalences for this pathogen (Contreras et al, 1995(Contreras et al, , 2003. A higher prevalence of C. bovis occasionally has been described in cattle, and frequency of isolation usually is reduced significantly in herds using a teat dip and dry cow therapy (Counter, 1981;Kolkman et al, 2006).…”

Section: Imi and Sccmentioning

confidence: 99%

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The effect of subclinical mastitis on milk yield in dairy goats

Koop

Werven

Schuiling

et al. 2010

Journal of Dairy Science

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The aims of this study were to estimate milk yield (MY) losses associated with subclinical intramammary infection (IMI) in dairy goats and to assess if somatic cell count (SCC) can be used to estimate such MY losses. We used 2 data sets to study these questions. The first data set consisted of 5 herds. Milk production and SCC were recorded during 1 lactation. From approximately 100 does in each herd, milk samples were collected on 3 occasions during lactation for bacteriological culture. Linear mixed regression was used to estimate the effect of IMI on MY. The second data set consisted of 6 large herds, in which some of the goats had an extended lactation (≥2 yr). Milk yield and SCC data were recorded without bacteriological culture. The data showed that bacterial infection was related to an increase in SCC. Infections with major pathogens were rare and associated with a decreased MY; infection with coagulase-negative staphylococci did not affect MY, whereas infection with Corynebacterium bovis was associated with increased MY. A negative correlation was observed between SCC and MY, but the data suggested that this negative correlation was attenuated rather than caused by IMI. Furthermore, SCC seemed to be affected by MY via a dilution effect. Hypotheses about biological mechanisms behind these observations are discussed. This paper shows that MY losses caused by subclinical udder infections are limited in goats, and that SCC cannot be used to estimate the magnitude of these losses.

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Section: Imi and Sccsupporting

confidence: 48%

Section: Imi and Sccmentioning

confidence: 99%

The effect of subclinical mastitis on milk yield in dairy goats

Koop

Werven

Schuiling

et al. 2010

Journal of Dairy Science

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“…The best SENS-SPEC level for a farm or species will depend of the type and prevalence of mastitis. In farms with high mastitis prevalence, especially if it is clinical, high SENS will be required in order to reduce mastitis effects on farm economy; but if prevalence is low and mastitis is subclinical, like Contreras et al (1995) published for goats in the studied region (18% of glands), a high SPEC will reduce unnecessary treatments, and their associated costs.…”

Section: Introductionmentioning

confidence: 99%

Goat mastitis detection using daily records of milk conductivity: comparative results of different algorithms

Romero¹,

Reinemann²,

Alejandro³

et al. 2014

CZECH J ANIM SCI

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Milk electrical conductivity is employed for mastitis detection in cows due to its automation, low cost, and infection detectability at early stage. Nevertheless, the number of publications about its use in dairy goats is scarce. The aim of this study was to check and compare the detectability of goat mastitis (sensitivity and specificity) using different algorithms, constructed with individual daily conductivity data from glands, in order to improve the know how about the potential of this variable for goat mastitis detection. A total of 18 goats (8 primiparous and 10 multiparous) free of mastitis were used, and gland milk conductivity was daily monitored. After 16 days of monitoring, some unfavourable situations for gland health were simulated in order to increase the cases of infection. Once infection was established (9 goats and 12 glands got infected), the experiment continued for further 16 days. A total of 19 different algorithms that employed conductivity data from gland were designed; they were tested using gland milk conductivity (EC) and ratio of EC of collateral glands in the same goat (RAT EC ). The algorithms were tested in all the animals and intramammary infection detection ability characteristics (sensitivity (SENS), specificity (SPEC), positive predictive value (PPV), and negative predictive value (NPV)) were recorded. All clinical cases were detected (n = 2, 100% SENS) with all the algorithms. Best global SENS (clinical and subclinical, 33.3-58.3%) and SPEC (77.8-100%) were similar to results reported in previous studies in cows, and obtained with algorithms ARIMA and Rule 1 (3 standard deviations of data). The best algorithms to use in mastitis detection depend on the prevalence and type of mastitis. EC ARIMA and Rule 1 algorithms detected the most severe cases on-line and quickly, with a low proportion of false positives.

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“…Mastitis is defined as an inflammation of the mammary gland, affects lactating animals including cattle, goats, sheep, buffaloes and camels and is almost always associated with bacterial infection. Mastitis in the goat is mainly subclinical (Contreras et al 1995 andMcDougall et al 2002). It is one of the major problems of the dairy industry worldwide including Bangladesh.…”

Section: Introductionmentioning

confidence: 99%

Epidemiological studies on subclinical mastitis in dairy goats in northern regions of Bangladesh

Begum

Hossain

Ershaduzzaman

et al. 2016

Bangladesh J. of Livestock Res.

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A cross sectional study was carried out from June, 2008 to December, 2010 to estimate the prevalence of subclinical mastitis and to determine the responsible bacterial pathogens in lactating dairy goats in northern districts of Bangladesh. A total of 292 goats and 584 udder halves milk samples were screened using California Mastitis Test (CMT). Prevalence of subclinical mastitis at goat level was 56.2% (164/292), and in udder half level it was 33.9% (198/584). The subclinical mastitis prevalence at goat level was high (71.6%) in Jamnapari goats as compared to Black Bengal goats (50.2%), whereas at the udder half level, subclinical mastitis prevalence was 45.1% and 29.6% in Jamnapari and Black Bengal goats, respectively. The pathogens isolated from subclinical mastitic milk samples were coagulase negative Staphylococci, Coliforms, Streptococcus spp., Staphylococcus aureus, Micrococcus spp., Pseudomonas aeruginosa and Bacillus cereus. Among these, the most frequent isolates were coagulase negative Staphylococci (28.8%), Coliforms (22.7%) and Streptococcus spp (15.2%). Out of four potential host related risk factors considered, litter size and body condition of goats were found to influence the prevalence rate of subclinical mastitis in goat significantly (p< 0.05). On the other hand, the subclinical mastitis was very significantly (p=0.0001) associated with the housing system of goats, i.e., goats reared in raised floor had a low subclinical mastitis infection rate (35.8%) as compared to reared in earth floor (62.2%). Antibiogram studies were also performed for the bacterial isolates and Gentamicin was found to be the most effective drug.

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Prevalence and aetiology of non-clinical intramammary infection in Murciano-Granadina goats

Cited by 67 publications

References 16 publications

The effect of subclinical mastitis on milk yield in dairy goats

The effect of subclinical mastitis on milk yield in dairy goats

Goat mastitis detection using daily records of milk conductivity: comparative results of different algorithms

Epidemiological studies on subclinical mastitis in dairy goats in northern regions of Bangladesh

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