Variation in the composition of selected milk fraction samples from healthy and mastitic quarters, and its significance for mastitis diagnosis

Bansal, B. K.; Hamann, J.; Grabowski, Nils Th.; Singh, Krishan Baldev

doi:10.1017/s0022029905000798

Cited by 106 publications

(127 citation statements)

References 18 publications

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“…In the present study, the decrease in milk yield and milk lactose rates were observed when SCC increased and these findings were in accordance with previous reports (Kelly et al, 2000;Fernandes et al, 2004;Bansal et al, 2005). However, it was determined that the milk fat rate was increased.…”

Section: Correlation Between Somatic Cell Count and Milk Compositionsupporting

confidence: 82%

Effect of Somatic Cell Count on Milk Yield and Composition of First and Second Lactation Dairy Cows

Çinar

Serbester

Ceyhan

et al. 2015

Italian Journal of Animal Science

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This study was carried out to investigate the effect of somatic cell count (SCC) on milk yield and milk composition in first and second lactation Holstein dairy cows. Thirty cows in first lactation and 49 cows in second lactation were used in the study. Animals were 15±9.87 days in milk. Individual milk samples were collected monthly from June 2009 to March 2010, and somatic cell counts, milk protein, milk fat, lactose and milk urea-N were determined. Four SCC groups were formed for determining effect of SCC on milk yield and composition. These groups were as follows: ≤200, 201-500, 501-999, and ≥1.000¥10 3 cell/mL. It was observed that SCC had a high significant effect on milk yield, milk protein, milk lactose (P<0.01), total solids and milk urea-N (P<0.05), however, the effect of SCC on milk fat was not significant (P>0.05). This study indicates that high SCC negatively affects not only milk yield but also milk composition and quality.

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Section: Correlation Between Somatic Cell Count and Milk Compositionsupporting

confidence: 82%

Effect of Somatic Cell Count on Milk Yield and Composition of First and Second Lactation Dairy Cows

Çinar

Serbester

Ceyhan

et al. 2015

Italian Journal of Animal Science

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“…Different superscripts among the lines indicate P<0.05. Bansal et al 2005, Schwarz et al 2010. This decrease of the SCC limit to detect IMIs may be due to the presence of effective mastitis control programs in many developed countries, leading to a decrease in IMIs caused by major pathogens (i.e., S. agalactiae) and an increase in the proportion of IMIs caused by minor pathogens (i.e., coagulase--negative staphylococci) (Pitkälä et al 2004, Piepers et al 2007, Schwarz et al 2010.…”

Section: Discussionmentioning

confidence: 99%

Somatic cell count and mastitis pathogen detection in composite and single or duplicate quarter milk samples

et al. 2016

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The most acceptable criteria for diagnosing bovine intramammary infections include results of bacteriological culture and measures of inflammation. Therefore, information on the diagnostic characteristics of the procedures used to identify infected quarters is required. Thus, this study was designed to evaluate a set of criteria to classify the infectious status of an udder at the quarter (single and duplicate milk samples) and cow (composite milk sample) levels, and to compare the infectious status with somatic cell counts (SCCs) of the samples. Here, the SCC thresholds determined by receiver operating characteristic curve analysis had a higher Youden index using mammary quarter duplicate milk samples as the gold standard for testing compared with single quarter and composite milk samples, especially for samples for which at least one of the duplicates was microbiologically positive, regardless of the mastitis pathogen isolated. The kappa coefficient for bacteriological results of the single quarter milk samples (single S1 and S2) was 0.85+0.019, indicating that single quarter milk sampling can be useful in mastitis control programs. Therefore, the use of composite milk samples to detect mastitis pathogens may be limited to the detection of major pathogens, given their predictive values. Thus, our findings suggest that the milk SCCs and microbiological examinations, although regarded as the most reliable indicators of ongoing mastitis, should be used in an integrated manner in mastitis control programs. Furthermore, the accuracy of single, duplicate and composite microbiological analyses to diagnosis mastitis should be considered for its implications in mastitis control strategies.INDEX TERMS: Somatic cell count, mastitis, intramammary infection, sensitivity, specificity, udder health status, dairy cow.

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“…Therefore, milk lactose content could be used as mastitis indicator in dairy animals. Though, few studies reported threshold values of milk lactose for mastitis identification in cows (Pyorala, 2003;Bansal et al, 2005;Tripaldi et al, 2010) and buffaloes (Bansal et al, 2007), the threshold values for identification of mastitis in Jaffrabadi buffalo is not available. Hence, the present study aimed to see the overall accuracy of milk lactose to classify mastitis and normal condition and to find a suitable optimum threshold value of milk lactose for mastitis identification along with Se, Sp and LR+ in Jaffrabadi buffaloes using ROC analysis.…”

Section: Introductionmentioning

confidence: 99%

Receiver operating characteristic analysis of milk lactosefor identification of mastitis in buffaloes

Patbandha

Ravikala

Maharana

et al. 2016

IJAR

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Receiver operating characteristic (ROC) analysis is a simple statistical tool used to classify a diagnostic indicator in terms of area under a ROC curve (AUC) and to develop potential threshold values of a diagnostic indicator. Milk lactose was analyzed by ROC analysis to see its accuracy to discriminate infected and healthy udder quarters, and to develope an optimum threshold value along with corresponding sensitivity (Se), specificity (Sp) and positive likelihood ratio (LR+) value. Data for the present study comprised of 1516 milk samples collected from Jaffrabadi buffaloes. Milk lactose was estimated by milk analyzer 'LACTOSCAN' and further samples were checked for sub-clinical mastitis by California mastitis test (CMT). The threshold values of milk lactose for identification of moderate and severe infection were found to be 5.31g% (Se, 58.82%; Sp, 58.28%) and 5.23g% (Se, 70.97%; Sp, 64.41%), respectively by ROC analysis. Milk samples with lactose content below 5.31g% were 1.41 times more likely come from moderately infected quarters (LR+ = 1.41); whereas, below 5.23g% were 1.99 times more likely come from severely infected quarters (LR+ = 1.99). The overall accuracy of milk lactose for discrimination of normal quarters from moderately infected quarters was 64% (AUC=0.64) and from severely infected quarters was 72% (AUC=0.72) (P<0.001). Thus, the present study indicated that milk lactose classified mastitic and healthy udder quarters in Jaffrabadi buffaloes with moderate accuracy.

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Variation in the composition of selected milk fraction samples from healthy and mastitic quarters, and its significance for mastitis diagnosis

Cited by 106 publications

References 18 publications

Effect of Somatic Cell Count on Milk Yield and Composition of First and Second Lactation Dairy Cows

Effect of Somatic Cell Count on Milk Yield and Composition of First and Second Lactation Dairy Cows

Somatic cell count and mastitis pathogen detection in composite and single or duplicate quarter milk samples

Receiver operating characteristic analysis of milk lactosefor identification of mastitis in buffaloes

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