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 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.

scholarly journals Connection of somatic cell count and milk yield as well as composition in dairy ewes

2010 ◽  
Vol 53 (1) ◽  
pp. 95-100
Author(s):  
J. Olechnowicz ◽  
Z. Sobek ◽  
J. M. Jaśkowski ◽  
P. Antosik ◽  
D. Bukowska
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Threshold Value ◽  
Milk Composition ◽  
Milk Samples ◽  
Dairy Ewes ◽  
Cell Counts ◽  
Daily Milk

Abstract. The aim of this study was to determine the effect of somatic cell count (SCC) on milk yield and composition using a threshold value of 250 ∙103 cells/ml in dairy ewes of line 05. A total of 1 512 milk samples from udder halves were collected throughout milking periods at monthly intervals. In the present study milk composition (from halves of the udder) and daily milk yield (from udders) was examined in terms of SCC in ewe milk in three groups: from both halves of the udder below 250 ∙103 cells/ml, from one halves of the udder below 250 ∙103 cells/ml and from second half udder above 250 ∙103 cells/ml and from both halves of the udder above 250 ∙103 cells/ml. Milk yield from udders, somatic cell count in milk samples from udder halves and milk composition depended on the level of SCC recorded for halves of the udder. Somatic cell counts in milk from one or both halves of udders exceeding 250 ∙103 cells/ ml resulted in a statistically significant (P<0.01) decrease in daily milk production of ewes, by approx. 15.89 and 30.22 %, respectively. The analysis of variance showed also a significant effect of parity and stage of lactation of ewes on somatic cell count (log SCC) and milk composition from udder halves below 250 ∙103 cells/ml.

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 An effect of mammary gland infection caused by Streptococcus uberis on composition and physicochemical changes of cows’ milk

2016 ◽  
Vol 19 (1) ◽  
pp. 49-55 ◽  
Author(s):  
E. Pecka-Kiełb ◽  
M. Vasil ◽  
A. Zachwieja ◽  
W. Zawadzki ◽  
J. Elečko ◽  
...  
Keyword(s):  
Mammary Gland ◽  
Physicochemical Properties ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Milk Composition ◽  
Microbiological Analysis ◽  
Milk Samples ◽  
Streptococcus Uberis ◽  
Total Bacteria

Abstract An effect of mammary gland infection caused by Streptococcus uberis on the changes in cows’ milk composition and its physicochemical properties was examined. The study was conducted in the herd of Slovak Pied breed cattle (with a share of HF blood), in 2nd and 3rd lactation, after 4th month of milking. Milk samples were collected from a quarter milking. The samples were subjected to microbiological analysis, basic milk composition, total bacteria count, somatic cell count and physicochemical properties were examined. Also analyses of protein fractions share and fatty acids profile were conducted. An effect of bacterial infection of the mammary gland bring an increase (P<0.01) in somatic cell count was observed in this study. Milk samples contaminated with S. uberis were characterized by higher (P<0.05) total bacteria count and total protein compared to milk samples collected from non-infected mammary gland. The level of κ-casein was significantly (P<0.05) decreased in cows with subclinical mastitis caused by S. uberis. Significant (P<0.05) reduction in the share of C13:0 acid, and an increased level of C18:0, C18:1n7t and CLA were observed in milk contaminated with S. uberis compared to healthy cows’ milk. It should be concluded that S. uberis causes the increase in total bacteria count, SCC and the decrease in κ-casein level, which significantly affects deterioration of technological quality of cows’ milk.

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 Effect of stage of lactation on somatic cell count in sheep milk of Pleven Blackhead breed

2021 ◽  
Vol 4 (1) ◽  
pp. 14
Author(s):  
Tatyana Boryanova Balabanova ◽  
Mihaela Georgieva Ivanova
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Total Concentration ◽  
Small Ruminants ◽  
Total Bacterial Count ◽  
Microbiological Analysis ◽  
Lactation Period ◽  
Sheep Milk

Milk secretion in small ruminants present some particularities for cytoplasmatic particles which are shed in the milk together with leukocytes and epithelial cells. Therefore, a parameter like a somatic cell count is worldwide used as a measurement indicator of subclinical mastitis. The aim of the present study was to establish the change of chemical and microbiological characteristics on the composition of sheep milk, obtained from Pleven Blackhead sheep breed during different stages of lactation. It was established that the chemical characteristics of sheep milk varied widely according to the way animals were raised and fed. The obtained results described a slight increase in the values of the total concentration of minerals (up to 1%) and titratable acidity from 19 to 25°T. A decrease in the values of total solids (19.2-16.6%), milk fat (8.0-6.2%), and protein content (5.8-4.9%) during the stages of lactation was established. The microbiological analysis showed that somatic cell count and total bacterial count during lactation progressively decreased, probably due to the account the hygienic conditions, nutrition, environment and health status of the animals. Moreover, changes in the composition of sheep milk were directly dependent on stable, stable/pasture and pasture feeding system during lactation period.

scholarly journals Innovation of prediction equations for milk composition estimation in milk recording at alternative sampling and half a day milking interval

2012 ◽  
Vol 60 (6) ◽  
pp. 103-110 ◽  
Author(s):  
Oto Hanuš ◽  
Pavel Hering ◽  
Petr Roubal ◽  
Gustav Chládek ◽  
Aleš Dufek ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Reference Values ◽  
Cost Reduction ◽  
Somatic Cell Count ◽  
Milk Composition ◽  
Prediction Equations ◽  
F Protein ◽  
Milk Samples

At dairying cost reduction and effort about maintenance of milk recording (MR) range the MR cost decrease is also important. Aim was to revise the older prediction equations for alternative reduced milk sampling (morning – M or evening – E) for assurance of MR reliable results at twice milking a day (TMD) with balanced interval 12/12. Individual milk samples (n = 619 animals) were obtained during TMD (M, E and REF; n = 1 857 samples). Fat (F), protein (P), lactose (L) and somatic cell count (SCC) were analysed. Czech Fleckvieh and Holstein breeds were included. The reference values (REF) of day milking were obtained in regular MR (A4P). M and E milking results were related to the REF. Older prediction equations with lower validity because of time and breeding were revised: a) for F from M on REF y = 0.6932x + 1.381, where r = 0.752 and P ≤ 0.001; b) for P from M on REF y = 0.9432x + 0.2274, where r = 0.949 and P ≤ 0.001; c) for L from E on REF y = 0.8145x + 0.9095, where r = 0.87 and P ≤ 0.001; d) for log SCC from E on REF y = 0.8829x + 0.2367, where r = 0.94 and P ≤ 0.001. MR cost reduction is possible using method of alternative sampling including corresponding prediction equations.

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.

scholarly journals Somatic cell count in milk of Finnsheep ewes and relation with production results

1988 ◽  
Vol 60 (6) ◽  
pp. 626-628
Author(s):  
Z. J. Tyszka ◽  
M. Kramarz
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Correlation Coefficients ◽  
Milk Composition ◽  
Milk Quality ◽  
Wool Production ◽  
Milk Samples ◽  
Wool Yield ◽  
Better Than

Finnsheep ewes were tested for milk quality and productivity (lambs and wool) on an experimental farm in two years. Milk samples were taken in first, second and third month of lactation to qualify somatic cell count (SCC) and percentage of fat (F %), protein (P %) and lactose (L %). For the calculation, logarithmic SCC (LSCC) was used. Data concerning rearing of lambs and wool production were calculated with each sample during lactation. Differences in all tested traits were found. Season 1981 proved to be better than 1983. For all observations LSCC was 2.16 and milk composition as follows: F % 5.38, P % 5.42 and L % 4.74. From average ewe there were 2.42 born lambs (6.18 kg), 1.14 weaned lambs (20.09 kg) and 1.24 kg of wool for six months. Correlation coefficients between LSCC and traits tested were; F % 0.07, P % —0.02, L %— 0.53, wool yield — 0.09, number of weaned lambs — 0.01, weight of weaned lambs 0.00. For all above coefficients the error was 0.05. Those tests concerned limited number of animals and will be continued.

Evaluation of low cost in-line milk samplers for estimating individual cow somatic cell counts

1997 ◽  
Vol 64 (1) ◽  
pp. 13-22 ◽  
Author(s):  
TIMOTHY CLARKE ◽  
SIMON-PETER ANDREWS ◽  
PETER J. MOATE ◽  
CARMEL A. POLLINO ◽  
WERNER L. SCHMIDT
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Low Cost ◽  
Dairy Herd ◽  
Large Collection ◽  
Dairy Farmers ◽  
Somatic Cell Counts ◽  
Milk Samples ◽  
Cell Counts ◽  
High Line

The Dairy Herd Improvement Fund of Victoria recently identified a requirement for a simple and inexpensive in-line sampler to enable dairy farmers to collect representative milk samples for counting somatic cells. We found that the currently available simple in-line milk samplers, when connected to standard 35 ml collection vessels, terminate sampling early in a milking, and thus provide samples that are unrepresentative of the whole milking. We showed that cell count during a milking varies greatly, tending to be high for the first 1–2 l. Analyses of resulting samples will thus tend to overestimate cell counts if samplers are used in their traditional way. We found greater sampling rates in high-line compared with low-line milking systems, and consequently developed modified samplers suitable for both situations. Our samplers utilize low sampling rates (∼1–3%) and large collection vessels (450 ml). Compared with currently available simple in-line samplers, our type of sampler provided milk samples considerably more representative of the entire milking for the majority of cows. In conjunction with subsampling, they provided samples of appropriate size (12·5 ml minimum to 25 ml maximum) for testing fat, protein, lactose and cell count. Cell count results indicated that errors associated with the use of currently available simple in-line samplers could frequently be >200%. In contrast, we found that use of our samplers gave an estimate for cell count that was only slightly higher (mean 20%) than that from samples collected by an approved Tru-Test sampler.

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