scholarly journals Differential Somatic Cell Count as a Marker for Changes of Milk Composition in Cows with Very Low Somatic Cell Count

Animals ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 604 ◽  
Author(s):  
Alfonso Zecconi ◽  
Francesca Dell’Orco ◽  
Diego Vairani ◽  
Nicoletta Rizzi ◽  
Micaela Cipolla ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Milk Composition ◽  
Cow Milk ◽  
Udder Health ◽  
Lactating Cows ◽  
Accuracy Of Measurements ◽  
The Relationship

The recent availability of a high-throughput milk analyzer performing a partial differential somatic cell count (DSCC) opened new opportunities in investigations on bovine udder health. This analyzer has a potential limitation on the accuracy of measurements when the somatic cell count (SCC) is below 50,000 cells/mL, values characterizing a good proportion of lactating cows in many herds. We obtained data for cows below this threshold, assessed the repeatability of these measurements and investigated the relationship between DSCC and udder health, milk composition and yield. Overall, 3022 cow milk test records performed on a Fossomatic™ 7/DC (Foss A/S, Hillerød, Denmark) were considered; 901 of them had an SCC ≤ 50,000 cells/mL. These latter samples were analyzed by qPCR to identify the presence of bacteria. Overall, 20.75% of the samples (187) were positive. However, the health status did not have any significant association with DSCC. The analysis of the association of DSCC on milk fat, protein and casein showed a significant decrease in their proportions as the DSCC increased, whereas it was not observed for milk yield and lactose. Therefore, DSCC in very low SCC cows may be suggested as a marker to identify early changes in milk composition.

scholarly journals Variability and correlation between basic quality parameters of raw cow milk

2011 ◽  
Vol 27 (3) ◽  
pp. 959-967
Author(s):  
N. Memisi ◽  
V. Bogdanovic ◽  
Z. Tomic ◽  
A. Kasalica ◽  
M. Zujovic ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Milk Proteins ◽  
Raw Milk ◽  
Quality Parameters ◽  
Cow Milk ◽  
Chemical Parameters ◽  
Quality Of Milk

In this paper the results of the analysis of the milk somatic cell count are presented, as well as correlation between the somatic cell count and content of certain chemical parameters in milk (milk proteins, fat, lactose and dry matter without fat) determined in collective samples of milk obtained from cows reared in intensive rearing system, during two production years. The research was carried out by control of collective milk samples from cows reared on family holdings. Somatic cell count, as well as the chemical quality of milk, were controlled daily in the laboratory for raw milk in dairy plant AD ?Mlekara? - Subotica using the apparatus CombiFoss 6200 FC. In this investigation, statistically significant correlation (P<0,001) between all observed milk parameters was determined. Positive, weak and statistically highly significant correlation between the content of milk fat and proteins in milk and somatic cell count was established. It was also established that the variability of chemical parameters of milk and somatic cell count is also under the influence of different factors, such as: month of control, year of the research and farm.

scholarly journals Effect of Age on Somatic Cell Count And Milk Composition in Sheep Milk

2020 ◽  
Vol 23 (2) ◽  
pp. 114-117
Author(s):  
Nazik Mahmood Ilyas
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Subclinical Mastitis ◽  
Milk Composition ◽  
Milk Samples ◽  
Sheep Milk ◽  
Three Stages ◽  
The Impact

A total of 50 sheep milk samples during lactations were used to investigate the impact of subclinical mastitis induced Somatic Cell Count (SCC) increase on changes in chemical composition in milk. Samples were collected and analyzed for fat, protein, lactose, solids non-fat (SNF) and total solids (TS) and SCC. Within three stages of lactation, all milk samples were analyzed for three times. The highest average of SCC was recorded in ewes aged 4 years (46.67) while lowest average was recorded at the age of 3-3.5 years (34.24%). Protein content was highest at ewes aged 1-1.5, whereas highest lactose percentage recorded at ewes aged 3-3.5. In conclusion, in high SCC milk, lactose content may be more indicative of SCC level than milk fat, protein, SNF and TS during lactation. Age of ewes is an important factor affecting milk composition, thus is a necessary parameter in optimizing sheep milk quality in conditions of subclinical mastitis.

A precise, low-cost milk sampler to enable the analysis of fat, protein, lactose and somatic cells in milk from individual cows

2007 ◽  
Vol 47 (9) ◽  
pp. 1100
Author(s):  
T. Clarke ◽  
M. C. Hannah ◽  
H. Wientjes
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Low Cost ◽  
Milk Composition ◽  
International Committee ◽  
Lactation Period ◽  
Dairy Farmers ◽  
Milk Samples

Less than half of Australian dairy farmers undertake production recording that normally requires the collection of milk samples for the measurements of fat, protein and lactose percentages and somatic cell count. Usually the milk samples are collected from individual animals on a ‘one-day-per-month’ basis by temporary milk-metering or sampling devices. Farmers who do not participate in production recording programs may be encouraged to do so if they could use a simple, robust, inexpensive, convenient and precise sampler. A sampler has been developed to meet these criteria. In this paper we report on the precision and bias of the new sampler with respect to milk composition and somatic cell count by comparison with samples collected by test buckets. For milk fat, the precision was only 3.1% and bias was +0.002% coefficient of variation. Precision for fat yield over a lactation period increases by only 0.02% when compared with results based on samplers that are approved by the International Committee for Animal Recording. We consider that the combination of low sampler cost and low sampler errors makes the new sampler aptly suited for production recording and monitoring somatic cell count.

scholarly journals Somatic cell count obtained by Ekomilk Scan® and correlations with other methods of analysis

2018 ◽  
Vol 48 (6) ◽  
Author(s):  
Ana Carolina Siqueira Gonçalves ◽  
Luiz Carlos Roma Júnior ◽  
Rafaela Torrezan Privatti ◽  
Márcia Saladini Vieira Salles ◽  
Claudia Cristina Paro de Paz ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Milk Composition ◽  
Cow Milk ◽  
Direct Microscopy ◽  
Reference Flow ◽  
Northeastern State ◽  
Repeatability And Reproducibility

ABSTRACT: The study aimed to evaluate the equipment Ekomilk Scan® as an alternative to somatic cell count (SCC) in milk. For this individual cow milk samples of various ages and different stages of lactation in northeastern state of São Paulo region were collected. The analyzes performed were divided into variables related to the equipment: repeatability and reproducibility, and variables that could influencing the results as: use of preservatives, temperature, time between collection and analysis, breed and milk composition, besides analysis to relate the Ekomilk Scan® with the standard method-direct microscopy and reference-flow cytometry. As the result, for samples analysis, it shouldn’t be added preservative and these should be conducted on the same day of collection; however, temperature sample did not significantly influence results. Furthermore, Ekomilk Scan® did not show good correlation of results with the method of direct microscopy; however, it was necessary to generate equations for a positive correlation between flow cytometry and Ekomilk Scan®. Therefore, it is concluded that the equipment tested is not accurate but it can be an alternative for SCC monitoring in productive units since it uses calibration equations of results.

Estimating the impact of somatic cell count on the value of milk utilising parameters obtained from the published literature

2014 ◽  
Vol 81 (2) ◽  
pp. 223-232 ◽  
Author(s):  
Una Geary ◽  
Nicolas Lopez-Villalobos ◽  
Bernadette O'Brien ◽  
Dorian J Garrick ◽  
Laurence Shalloo
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Meta Analysis ◽  
Raw Milk ◽  
Milk Composition ◽  
Sector Model ◽  
Market Values ◽  
The Impact

The impact of mastitis on milk value per litre independent of the effect of mastitis on milk volume, was quantified for Ireland using a meta-analysis and a processing sector model. Changes in raw milk composition, cheese processing and composition associated with increased bulk milk somatic cell count (BMSCC) were incorporated into the model. Processing costs and market values were representative of current industry values. It was assumed that as BMSCC increased (i) milk fat and milk protein increased and milk lactose decreased, (ii) fat and protein recoveries decreased, (iii) cheese protein decreased and cheese moisture increased. Five BMSCC categories were examined from ⩽100 000 to >400 000 cells/ml. The analysis showed that as BMSCC increased the production quantities reduced. An increase in BMSCC from 100 000 to >400 000 cells/ml saw a reduction in net revenue of 3·2% per annum (€51·3 million) which corresponded to a reduction in the value of raw milk of €0·0096 cents/l.

scholarly journals The Novel Solution for Acid Whey Permeate Application in Animal Feeding

2020 ◽  
Vol 44 (339) ◽  
pp. 1-7
Author(s):  
Jana Lakstina ◽  
Inese Aboltina ◽  
Liga Vanaga ◽  
Inga Ciprovica ◽  
Daina Jonkus ◽  
...  
Keyword(s):  
Cell Count ◽  
Milk Yield ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Milk Composition ◽  
Quality Data ◽  
Whey Permeate ◽  
Lactating Cows ◽  
Acid Whey ◽  
Experimental Group

AbstractThe experiment was conducted to analyse the effect of fermented acid whey permeate on milk yield and composition in the lactating cows. Propionic acid bacteria and their metabolites have been used in the lactating cows feeding over decades, primarily to improve growth performance, feed conversation and milk production efficiency. Two groups of the lactating cows were arranged in the study: control group (n=50) and experimental group (n=50). Experimental group’s animals received 0.5 L of fermented whey permeate daily. Acid whey permeate was inoculated with the freeze-dried PS-4 (Propionibacterium freudenreichii subsp. shermanii, Chr.Hansen, Denmark) starter and fermented anaerobically for 48 hours at 20±2 oC. Fat, protein, lactose and total solids concentration in acid whey permeate and fermented acid whey permeate was analysed by the standard methods, but propionic acid was detected by HPLC. Milk composition and quality indices were determined at the beginning of the study and each month during 6 months period. At the end of the study the feeding of fermented acid whey permeate was stopped, but milk composition and quality data were monitored additionally after one month. Milk fat, protein, lactose, total solids, urea concentration and somatic cell count were analysed by a near infrared spectroscopy.The variability in milk composition and quality data across trial was greater in the experiment group than in the control. Milk fat and somatic cell count were significantly different (p<0.05) than other studied parameters in the experimental group cows’ milk. Milk yield and lactose concentration were tended to increase during feeding of fermented acid whey permeate in the lactating cows without significant differences between control and experimental groups. Fermented acid whey permeate as feed supplement improves energy metabolism for dairy cows which results in the higher milk yield and fat concentration.

The effect of suckling following mechanical milking on milk yield, milk composition and somatic cell count in dairy cattle

2000 ◽  
Vol 25 ◽  
pp. 175-177 ◽  
Author(s):  
J.K. Margerison ◽  
C.J.C. Phillips
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Protein Content ◽  
Milk Yield ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Milk Protein ◽  
Milk Composition ◽  
Fat Content ◽  
Daily Milk Yield

AbstractSuckling following mechanical milking is common practice in organic dairy production systems and in developing countries. The objective of the experimental work was to assess the effect of suckling and suckling frequency following mechanical milking on milk yield, milk composition and somatic cell count. Two experiments were completed using multiparous dairy cows allocated at 3 days post partum to their respective treatment groups. In experiment one, twenty–four multiparous dairy cows were allocated to one of two treatments for 305 days; 12 cows not suckled (NS) and 12 cows, which were suckled twice daily following mechanical milking (S2). Daily milk yield was significantly greater (P<0.05) in suckled cows, NS 8.0, S2 8.9 (sem 0.18) kg/d. Milk fat content was significantly lower (P<0.05) in suckled cows (NS 32.0, S2 30.7 (sem 0.56) g/kg). However, milk protein was not significantly different in suckled cows, NS 29.2, S2 27.6 (sem 10.79) g/kg compared with non suckled cows. Somatic cell count was significantly lower (P<0.05) in suckled cows NS 106, S2 85 (sem 2.85) 000/ml, compared with non suckled cows. In experiment two, thirty-eight cows were allocated one of two treatments for 120 days; 19 cows not suckled (NS) and 19 cows, which were suckled once daily following the afternoon milking (S1). Suckling took place for fifteen minutes daily following machine milking only. The calves were weaned at 6 months of age. Total daily milk yield was significantly greater (P<0.05) in suckled cows, NS 11.7, S1 12.5 (sem 0.04) (kg/d) compared with non suckled cows. The milk fat and protein content were not significantly different in suckled and non suckled cows. Milk fat content NS 33.4, S1 32.9 (sem 0.14) g/kg and milk protein content NS 29.8, S1 30.0 (sem 0.07) g/kg. In conclusion, suckled cows had significantly higher milk yields. Cows suckled twice daily had significantly lower milk fat content. Suckling did not affect milk protein content. Suckling cows twice daily significantly reduced SCC.

Evaluation of somatic cell count from cow milk composition to response of treatment with microwave

2014 ◽  
Vol 185 ◽  
pp. S81
Author(s):  
Iuliana Cretescu ◽  
Mircea Dan Petrescu ◽  
Ioan Pet ◽  
Mihaela Ostan ◽  
Elena Pet ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Milk Composition ◽  
Cow Milk

scholarly journals Chemical-microbiological quality parameters of raw cow milk

2006 ◽  
Vol 22 (5-6) ◽  
pp. 109-119 ◽  
Author(s):  
Milutin Petrovic ◽  
M.M. Petrovic ◽  
G. Nenadovic ◽  
V. Kurcubic ◽  
G. Marinkov
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Protein Content ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Dry Matter ◽  
Raw Milk ◽  
Cow Milk ◽  
Micro Organisms

This paper is based on investigation of chemical and hygiene parameters of the quality of cow raw milk. Samples were collected on 10 collection spots of the dairy firm "Imlek", in 4 identical time intervals in the period of one month (20.06.2005.-20.07.2005.) in municipality of Gornji Milanovac, and research was carried out in the laboratory of "Imlek" in Cacak. Differences in chemical composition and hygienic quality of milk were analyzed, and slight variability was established between collection spots. Average content of milk fat was 3,89%, protein 3,20%, and dry matter without fat 8,56%. It was established that in regard to protein content there is significant and very significant statistical difference between collection spots. This is consequence of different nutrition, focus is on introduction of protein enriched feeds into nutrition of cows. High variability of number of micro organisms is consequence of inadequate, non-standardized obtaining (milking) and storing of raw milk. Average number of micro-organisms was 844.875/ml, and it varied from 112.000?5.000.000/ml. Average somatic cell count was 357.850/ml. Variance analysis determined that collection spots had statistically highly significant effect (P<0.01) only on protein content, whereas their influence on content of fat, dry matter without fat, number of microorganisms and somatic cell count wasn't significant (P>0.05). Individual testing (LSD test) established that milk collected from 7th collection spot had significantly higher protein content compared to other collection spots, which indicated that dairy heads of cattle consumed higher quantity of feeds rich on proteins and had better balanced diet in regard to ratio of energy and protein.

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