scholarly journals Performance of Online Somatic Cell Count Estimation in Automatic Milking Systems

2020 ◽  
Vol 7 ◽  
Author(s):  
Zhaoju Deng ◽  
Henk Hogeveen ◽  
Theo J. G. M. Lam ◽  
Rik van der Tol ◽  
Gerrit Koop
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Automatic Milking ◽  
Automatic Milking Systems ◽  
Count Estimation

The effect of pulsation ratio on teat condition, milk somatic cell count and productivity in dairy cows in automatic milking

2015 ◽  
Vol 82 (4) ◽  
pp. 453-459 ◽  
Author(s):  
Sabine Ferneborg ◽  
Kerstin Svennersten-Sjaunja
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Design Experiment ◽  
Negative Effects ◽  
Milk Flow ◽  
Commercial Farms ◽  
Automatic Milking ◽  
Automatic Milking Systems ◽  
Milking Machine

The pulsation ratio of a milking machine affects milk flow and milking time, and has also been reported to influence teat condition and milk somatic cell count (SCC). However, most studies comparing pulsation ratios have been performed on conventional cluster milking (whole-udder level), where effects such as deteriorated teat end condition and increased milk SCC are likely to be caused by over-milking on teats that are emptied faster than the other teats. When the teat cups are detached from each udder quarter separately which can be done in automatic milking systems (AMS), the risk of over-milking, especially in front teats, may be significantly reduced. This study investigated the effects of pulsation ratio on teat end condition, milk SCC, milk yield, milking time and milk flow in an automatic milking system where each udder quarter is milked separately. In total, 356 cows on five commercial farms were included in a split-udder design experiment comparing three pulsation ratios (60:40, 70:30 and 75:25) with the standard pulsation ratio (65:35) during 6 weeks. Pulsation rate was 60 cycles/min and vacuum level 46 kPa. The 70:30 and 75:25 ratios increased peak and average milk flow and the machine-on time was shorter with 75:25, while both peak and average milk flows were lower and machine-on time was longer with the 60:40 ratio. No negative effects on teat condition or milk SCC were observed with any of the pulsation ratios applied during the study. Thus it is possible that increased pulsation ratio can be used to increase milking efficiency in AMS where quarter milking is applied.

scholarly journals The relationship between milking interval and somatic cell count in automatic milking systems

2011 ◽  
Vol 94 (9) ◽  
pp. 4531-4537 ◽  
Author(s):  
H. Mollenhorst ◽  
M.M. Hidayat ◽  
J. van den Broek ◽  
F. Neijenhuis ◽  
H. Hogeveen
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Automatic Milking ◽  
Automatic Milking Systems ◽  
The Relationship

scholarly journals Association between Udder and Quarter Level Indicators and Milk Somatic Cell Count in Automatic Milking Systems

Animals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3485
Author(s):  
Maddalena Zucali ◽  
Luciana Bava ◽  
Alberto Tamburini ◽  
Giulia Gislon ◽  
Anna Sandrucci
Keyword(s):  
Electrical Conductivity ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Udder Health ◽  
Milk Flow ◽  
Automatic Milking ◽  
Automatic Milking Systems ◽  
Over Time

Automatic Milking Systems (AMS) record a lot of information, at udder and quarter level, which can be useful for improving the early detection of altered udder health conditions. A total of 752,000 records from 1003 lactating cows milked with two types of AMS in four farms were processed with the aim of identifying new indicators, starting from the variables provided by the AMS, useful to predict the risk of high milk somatic cell count (SCC). Considering the temporal pattern, the quarter vs. udder percentage difference in milk electrical conductivity showed an increase in the fourteen days preceding an official milk control higher than 300,000 SCC/mL. Similarly, deviations over time in quarter vs. udder milk yield, average milk flow, and milking time emerged as potential indicators for high SCC. The Logistic Analysis showed that Milk Production Rate (kg/h) and the within-cow within-milking percentage variations of single quarter vs. udder milk electrical conductivity, milk yield, and average milk flow are all risk factors for high milk SCC. The result suggests that these variables, alone or in combination, and their progression over time could be used to improve the early prediction of risk situations for udder health in AMS milked herds.

Automatic milking: effects on somatic cell count and teat end-quality

2002 ◽  
Vol 78 (2) ◽  
pp. 115-124 ◽  
Author(s):  
I Berglund ◽  
G Pettersson ◽  
K Svennersten-Sjaunja
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Automatic Milking

scholarly journals Changes in milk L-lactate, lactate dehydrogenase, serum albumin, and IgG during milk ejection and their association with somatic cell count

2014 ◽  
Vol 82 (2) ◽  
pp. 129-134 ◽  
Author(s):  
Mirjam Lehmann ◽  
Samantha K Wall ◽  
Olga Wellnitz ◽  
Rupert M Bruckmaier
Keyword(s):  
Lactate Dehydrogenase ◽  
Serum Albumin ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Cleaning Process ◽  
Milk Ejection ◽  
Milk Samples ◽  
Significant Difference ◽  
Automatic Milking Systems

In both conventional and automatic milking systems (AMS), sensitive and reliable mastitis detection is important for profitable milk production. Mastitis detection parameters must be able to detect mastitis when the somatic cell count (SCC) is only slightly elevated. Owing to the pre-milking teat cleaning process in AMS, sampling cannot take place before the occurrence of alveolar milk ejection and importantly, this can affect the ability of parameters to detect mastitis. The aim of the present study was to examine the effect of alveolar milk ejection on l-lactate, lactate dehydrogenase (LDH), serum albumin (SA) and immunoglobulin G (IgG) compared with SCC, a commonly used indicator of mastitis. In this experiment, milk samples were collected every 20 s from one quarter during a 120-s manual teat stimulation in ten cows. Samples were analysed for SCC, l-lactate, LDH, SA and IgG. Quarters were grouped by low (<5·0 log10 cells/ml), mid (5·0–5·7 log10 cells/ml), and high (>5·7 log10 cells/ml) SCC using the sample at t=0 s. Neither l-lactate nor LDH could statistically differentiate between low and mid-SCC quarters, but there were a significant difference in levels between the high-SCC quarters and low and mid-SCC quarters. SA could not differentiate between the low and mid-SCC quarters, but the SA levels for the high SCC quarters remained statistically different compared with low and mid-SCC quarters throughout the experiment. IgG could statistically differentiate between low and mid-SCC, although the high-SCC quarters were not statistically different from the mid-SCC quarters after 60 s. In the high-SCC quarters, a decrease was shown in all parameters during milk ejection, after t=60 s. In conclusion, alveolar milk ejection reduces the effectiveness of detection parameters when compared with SCC. With the exception of IgG, the ability of other tested parameters was not satisfactory to differentiate between quarters with low to mid-SCC levels

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