ICAR Technical Series no. 7 - Nitra Proc.

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Udder health in AMS(PAA) disinfection. That is why the influence of an improved hygienemanagement on udder health of cows kept in an automated milking system(AMS) was examined. The diagnostic parameters of mastitis, which aremeasurable in the robot are the electrical conductivity and the milkingvolume. A comparison between mastitis signs and conductivity deviationwas carried out.Material andmethodsThe herd consisted of around 50 Holstein-Friesian-cows. These were keptin a free stall barn. A one-box-robot (Lely–Astronaut) for about 60 cowsworked around the clock. The cows went to the robot voluntarily. Theywere fed with a partial-mixed-ration. Through the investigation period(March 2000 until June 2000) the management of the AMS was moreintensive. This caused especially cleaner cubicles as well as a steady andeffective disinfection of the teat-cleaning-brushes with PAA-solution. Inaddition, a teatcup disinfection (PAA) at the beginning of June 2000 wasinstalled. The investigation of herd’s udder health took place in an intervalof 4 weeks for 17 months. A special clinical examination of the udder andthe bacteriological examination of quarter samples were carried out. Thesomatic-cell-count-data from the monthly milk recording and conductivitydata were collected. For the presentation descriptive statistics were used.To verify the predication of electrical conductivity as a diagnostic parameterof mastitis special notes (“alarm”) were utilized. These occur if there areto high deviations in milk conductivity (adjustment: absolute threshold,inter-quarter-ratio 15percent each).Results anddiscussionClinical findingsSix percent to 28 percent of all quarters were found to be clinical changed(atrophic quarters from 1 to 5 percent, tough quarters from 1 to 12 percent).The cases of acute mastitis decreased per month through the examinationperiod [arithmetic mean: 4,3 cases/month (8/99 to 10/99) decresed to2.3 cases/month (4/00 to 6/00)].Figure 1 shows a continual decrease of the percentage of infected quarters(from 17 percent to 3 percent). 95 percent of these quarters were infectedwith coagulase-negative staphylococci (CNS). Sometimes there wereStreptococci (aesculin-negative and aesculin-positive) and seldomCorynebacterium bovis, Escherichia coli and yeasts. The sources of CNS arethe environment and the udder skin. That is why a brilliant hygiene in thecow shed and an effective infection-prophylaxis is needed. This can berealised with the usage of PAA-disinfection which has been reported byother authors (Model, 1995; SPOHR, 2001). In our studies, PAA has beenused successful for the disinfection of cleaning brushes and teatcups. Thecleaner udders had a positive influence on the efficiency of the disinfection.These were achieved with more cubicle care. That caused that the film ofdirt was low on brushes and teatcups. In this way the disinfection efficiencyof PAA against pathogens could be improved.176Conference on "Physiological and technicalaspects of machine milking"
Pallas & WendtSCC (x 1,000) / ml25020015010050004/9907/9909/9911/9901/0003/0005/0007/0009/00timeFigure 1. Percentage of infected quarters.SCC (x 1,000) / ml25020015010050004/9907/9909/9911/9901/0003/0005/0007/0009/00timeFigure 2. Development of somatic cell count over the time.ICAR Technical Series - No 7177
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The designationsemployed and thepre
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The organisers of the meeting want
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Milking variables in relation to te
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Modelling of liner behaviour using
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ForewordThe second half of the part
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Rosatiorganizations. The “Lactati
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Rosatito guarantee correctness of s
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RosatiICAR also sponsors books belo
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Technical developments in Slovak co
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de Koning & HuijsmanThe Dutch Quali
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de Koning & Huijsmanare Medicines,
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de Koning & HuijsmanThe pulsation c
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de Koning & HuijsmanBalances which
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Tancin et al.Physiology of milk let
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Tancin et al.In the dairy practice
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Tancin et al.Mayer, H., D. Schams,
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Effect of machine milking on teatIn
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Effect of machine milking on teatBe
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Effect of machine milking on teatTa
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Effect of machine milking on teatNe
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Measurements of vacuum stabilityInt
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Measurements of vacuum stabilityTab
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Measurements of vacuum stabilityFor
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Marnet et al.Comparative study of p
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Marnet et al.production during the
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Marnet et al.prestimulation by the
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Worstorff & BilgeryEffects of liner
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Worstorff & BilgeryTable 1 summaris
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Worstorff & Bilgeryseries 40/32 kPa
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Differential staining of somatic ce
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Different diagnostic measures for m
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Evaluation of milking routine by La
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Evaluation of milking routine by La
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Fryc et al.The assessment parameter
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Fryc et al.p n[kPa]p n1p n2p npt st
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Fryc et al.rate. There were three s
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Milking devices disturbance on SCCm
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Milking devices disturbance on SCCL
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Milking devices disturbance on SCCT
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Turki & WinnickiMilking variables i
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Table1. Milk flow time from in indi
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Table 2. First minute milk flow, av
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Turki & WinnickiMayer H., Schams D.
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Milk recording in GermanyTable 1. E
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Milk recording in GermanyTable 3. A
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Milk recording in GermanyTable 5. M
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Main fields ofactivities of theGerm
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Influence of duration of a and c ph
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Nosal & BilgeryVibrations and vacuu
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Nosal & BilgerykPa45.645.445.245.04
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Nosal & BilgeryIn case of problems
Page 117 and 118: Testing of vacuum during milkingEva
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Page 121 and 122: Ryšánek et al.Vacuum fluctuation
Page 123 and 124: Ryšánek et al.Teat injuries were
Page 125 and 126: Ryšánek et al.Particular attentio
Page 127 and 128: de KoningAutomatic milking:Chances
Page 129 and 130: de Koningfor some time after the mi
Page 131 and 132: de KoningMilk quality is without do
Page 133 and 134: de Koningwhen the bulk tank is empt
Page 135 and 136: de KoningLand, A. van ‘t et al, 2
Page 137 and 138: Characterising the farms equipped w
Page 147 and 148: Designing optimal robotic milking b
Page 153 and 154: ArtmannThe effects of automatic mil
Page 155 and 156: ArtmannData was collected on the ma
Page 157 and 158: ArtmannThe differences of the co-ef
Page 159 and 160: BarthEvaluation of somatic cell cou
Page 161 and 162: BarthTable 1. Determined and real m
Page 163 and 164: Barthyield is often a side effect o
Page 165 and 166: Milking parameters in modified milk
Page 167: Pallas & WendtThe development of ud
Page 171 and 172: Pallas & WendtTrilk, J. und Münch,
Page 173 and 174: Udder health and milk low profilesA
Page 175 and 176: Udder health and milk low profilesD
Page 177 and 178: AMS in Czech RepublicThis farm size
Page 179 and 180: AMS in Czech RepublicTable 1. Effec
Page 181 and 182: AMS in Czech RepublicFigure 1. Stab
Page 183 and 184: BruckmaierSpecific aspects of milk
Page 185 and 186: Bruckmaiertowards the end of lactat
Page 187 and 188: BruckmaierBruckmaier, R.M., D. Scha
Page 189 and 190: Teat callosity and mastitisResultsT
Page 191 and 192: de Koning et al.Milking characteris
Page 193 and 194: de Koning et al.Table 1. Statistica
Page 195 and 196: Influence of ageing on linersThe re
Page 197 and 198: Neijenhuis & HogeveenMilking interv
Page 199 and 200: Knízková et al.Effect of old and
Page 201 and 202: Knízková et al.Thermograms of the
Page 203 and 204: Knízková et al.Kunc, P., Knízkov
Page 205 and 206: Postmilking teat disinfectingIntrod
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Page 209 and 210: Los & MaškováTeatcup hardness aft
Page 211 and 212: Los & MaškováIt follows from the
Page 213 and 214: Trends in milking equipmentThe fina
Page 215 and 216: Olechnowicz & TurkiMilking and milk
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Lipinski et al.Effect of some selec
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Lipinski et al.Milk hygiene quality
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Lipinski et al.1. The technical and
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Effect of two milking systems on te
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Effect of two milking systems on te
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Milk quality and mastitis monitorin
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Nitra in ICAR interlaboratory studi
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Botto et al.Effect of ultrasound in
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Báder et al.Change of udder confor
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Báder et al.6050%4030201.scor.2.sc
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Luger et al.Effect of inclination a
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Luger et al.There is no difference
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Harty et al.Modelling of liner beha
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Harty et al.A solid plane was const
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Provolo & SangiorgiUsing daily data
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Provolo & SangiorgiFigure 3. Averag
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Provolo & SangiorgiFigure 7. Cow no
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Provolo & Sangiorgistandardisation
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Cognome/iInhibition of oxytocin rel
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Tancin et al.Milk flow patterns: in
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Szlachta & AleksanderThe influence
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Szlachta & Aleksanderforces in the
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Szlachta & Aleksanderpressure diffe
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List of participantsŠtefan BodoSPU
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List of participantsMarian GregušI
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List of participantsMarija KlopcicD
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List of participantsŠtefan MihinaV
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List of participantsEduard Pravnans
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List of participantsJozef Tonhauser
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ICAR Technical Series no. 7 - Nitra Proc.

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