Suitability of milk lactate dehydrogenase and serum albumin for pathogen-specific mastitis detection in 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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Development of automatic milking systems and their classification

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/659/1/012080 ◽

2021 ◽

Vol 659 (1) ◽

pp. 012080

Author(s):

D R Sharipov ◽

O A Yakimov ◽

M K Gainullina ◽

A R Kashaeva ◽

I N Kamaldinov

Keyword(s):

Automatic Milking ◽

Automatic Milking Systems

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Use of Repeated Measures Analysis for Evaluation of Genetic Background of Dairy Cattle Behavior in Automatic Milking Systems

Journal of Dairy Science ◽

10.3168/jds.s0022-0302(06)72403-1 ◽

2006 ◽

Vol 89 (9) ◽

pp. 3636-3644 ◽

Cited By ~ 19

Author(s):

S. König ◽

F. Köhn ◽

K. Kuwan ◽

H. Simianer ◽

M. Gauly

Keyword(s):

Dairy Cattle ◽

Repeated Measures ◽

Genetic Background ◽

Repeated Measures Analysis ◽

Automatic Milking ◽

Automatic Milking Systems

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Increased take-off level in automatic milking systems – effects on milk flow, milk yield and milking efficiency at the quarter level

Journal of Dairy Research ◽

10.1017/s002202991800078x ◽

2018 ◽

Vol 86 (1) ◽

pp. 85-87 ◽

Cited By ~ 1

Author(s):

Sabine Ferneborg ◽

Måns Thulin ◽

Sigrid Agenäs ◽

Kerstin Svennersten-Sjaunja ◽

Peter Krawczel ◽

...

Keyword(s):

Flow Rate ◽

The Other ◽

Mean Flow ◽

Flow Rates ◽

Decline Phase ◽

Flow Profiles ◽

Milk Flow ◽

Automatic Milking ◽

Automatic Milking Systems ◽

Time Required

AbstractThis research communication describes how different detachment levels (0.48, 0.3 and 0.06 kg milk/min) at the quarter-level affect milk flow profiles and overall milking efficiency in automatic milking systems. We hypothesized a higher detachment level would result in greater mean flow rates without affecting the volume of harvested milk per cow during 24 h compared to lower detachment levels. The data suggest milk flow decreased to a rate below the overmilking limit within the 6-s delay time required for termination in all treatments, but the duration of overmilking was shorter for the greatest detachment level compared to the other treatments. We conclude that setting a detachment level at a greater milk flow rate reduces the duration of overmilking without affecting the amount of milk harvested when applied to cows in mid-lactation during quarter-level milking. We also suggest that the steepness of the decline phase of the milk flow curve might have a larger effect than the actual detachment level on the duration of overmilking.

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Comparison of yield, composition and quality of milk of Polish Holstein-Friesian cows in conventional and automatic milking systems

Annals of Animal Science ◽

10.2478/aoas-2020-0101 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Magdalena Kolenda ◽

Dariusz Piwczyński ◽

Marcin Brzozowski ◽

Beata Sitkowska ◽

Piotr Wójcik

Keyword(s):

Milk Yield ◽

Dry Matter ◽

Fat Content ◽

Urea Content ◽

Holstein Friesian ◽

Automatic Milking ◽

Automatic Milking Systems ◽

Quality Of Milk ◽

L1 And L2 ◽

Friesian Cows

AbstractThe aim of the present study was to evaluate the changes in selected production and functional traits of Polish Holstein-Friesian cows after switching from a conventional (CMS) to an automatic milking system (AMS). The study consisted of 3398 Polish Holstein- Friesian dairy cows, from 16 herds in which CMS was changed to AMS. Cows were in their 1st (L1) or 2nd lactation (L2). The data consisted of milk yield [MY, kg], fat content [FC, %], protein content [PC, %], dry matter [DM, %], lactose content [LC, %], urea content [MU, mg/l], somatic cell count [SCC, thous./ml] and score [SCS, log]. The milking system had a significant impact on milk yield, fat, lactose, dry matter and urea contents. Regardless of lactation number, milk derived from CMS was characterised by higher values for FC, PC, DM SCC and SCS, while milk from AMS had higher MY, LC and MU. Multifactor analysis of variance also confirmed significant effect of herd, season, herd × milking system interaction on SCS in milk of cows in L1. In the studied herds change from CMS to AMS was evaluated separately for cows in L1 and L2. The transitioning from CMS to AMS resulted in the decrease of fat content in 6 L1 and 7 L2 herds, dry matter in 8 L1 and 5 L2 herds. SCS in milk also decreased in 4 L1 and 5 L2 herds. The change caused the increase of MY in 11 L1 and 9 L2 herds, lactose content in 6 L1 and 4 L2 herds and urea content in 9 L1 and 10 L2 herds. AMS may positively affect milk yield and health status, however, the change of milking system should be also accompanied by the change in herd management.

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