ICAR Technical Series no. 7 - Nitra Proc.

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Foltys et al.Table 3. Average consumption of air per one set.Recommended value15-25 l/min. Whole set 25 l/min.(c)nx ± s x8520.6 ± 7.51713.9 ± 6.95220.1 ± 7.91627.3 ± 8.3% 100 19.9 61.6 18.5SCC thousand/mlnx ± s x17310 ± 5752323 ± 7616319 ± 803Significance of differences in SCC - nonsignificantFrom 340 tested pulsators pulsed 35.7 % on lower and 17.1 % on higherthan recommended frequency (Table 4). It means that 52.8 % pulsators didnot show the necessary frequency. Higher frequency in pulsators increasedSCC to 331 ths/ml (nonsignificant). The analysis of this state shows furtherreserves in maintenance of milking technique in practice.Number of pulsesin milkingmachinesTable 4. Average number of pulses.Average pulsation rateRecommended value50±4 Whole set < 46 (a) 46-54 (b) > 54 (c)nx ± s x34048.3 ± 6.512144.8 ± 7.916050.3 ± 5.95958.3 ± 6.8% 100 35.7 47.2 17.1SCC thousand/mlnx ± s x85321 ± 7130324 ± 63Significance of differences in SCC - nonsignificant-P>0,0540314 ± 7315331 ± 80The average capacity of underpressure distributor exceeded markedly thetolerated minimum (Table 5); 13.4 % cases did not meet this request. It isan important effect as SCC increases markedly with insufficient capacity(359 vs. 314 ths/ml, P
Milking devices disturbance on SCCTable 5. Capacity of underpressure distributor.Recommended valuemin.200 l/min. Whole set 2 < 200 l/min. (a) >200 l/min. (b)nx ± s x85329 ± 12911189,0 ± 8974428 ± 131% 100 13,4 86,6SCC thousand/mlnx ± s x85320 ±7211359 ± 7374314 ± 72Significance of differences in SCC a:b++Performance ofvacuum pump inmilk circuit and inunderpressuredistributorTable 6 shows that 13.1 % milking equipments worked with insufficientperformance of the vacuum pump. It did not affect the occurrence of CSSsignificantly.Table 6. Performance of vacuum pump in milk circuit.Recommended valuemin.700 l/min. Whole set < 700 l/min. (a) >700 l/min. (b)nx ± s x85854 ± 15911698 ± 13274998 ± 169% 100 13,1 86,9SCC thousand/mlnx ± s x85321 ± 7511324 ± 5074320 ± 79Significance of differences in SCC - nonsignificantEffect of paralleloccurrence ofmore seriousdefects on mastitisfrequency in herdThe so called “more serious faults” of milking equipments were selectedduring the study of effects of defects on SCC. The choice shows that theunderpressure changes and mechanical stressing of tissue in udder andteat are the most common faults:1. underpressure in milk circuit >54 kPa;2. losses by leakage in milk circuit and underpressure distributor>40 l/min.;3. average number of pulses 54;4. capacity of underpressure in air distributor
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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
Page 35 and 36: Tancin et al.In the dairy practice
Page 37 and 38: Tancin et al.Mayer, H., D. Schams,
Page 39 and 40: Effect of machine milking on teatIn
Page 41 and 42: Effect of machine milking on teatBe
Page 43 and 44: Effect of machine milking on teatTa
Page 45 and 46: Effect of machine milking on teatNe
Page 47 and 48: Measurements of vacuum stabilityInt
Page 49 and 50: Measurements of vacuum stabilityTab
Page 51 and 52: Measurements of vacuum stabilityFor
Page 53 and 54: Marnet et al.Comparative study of p
Page 55 and 56: Marnet et al.production during the
Page 57 and 58: Marnet et al.prestimulation by the
Page 59 and 60: Worstorff & BilgeryEffects of liner
Page 61 and 62: Worstorff & BilgeryTable 1 summaris
Page 63 and 64: Worstorff & Bilgeryseries 40/32 kPa
Page 65 and 66: Differential staining of somatic ce
Page 67 and 68: Different diagnostic measures for m
Page 73 and 74: Evaluation of milking routine by La
Page 75 and 76: Evaluation of milking routine by La
Page 77 and 78: Fryc et al.The assessment parameter
Page 79 and 80: Fryc et al.p n[kPa]p n1p n2p npt st
Page 81 and 82: Fryc et al.rate. There were three s
Page 83 and 84: Milking devices disturbance on SCCm
Page 85: Milking devices disturbance on SCCL
Page 89 and 90: Turki & WinnickiMilking variables i
Page 91 and 92: Table1. Milk flow time from in indi
Page 93 and 94: Table 2. First minute milk flow, av
Page 95 and 96: Turki & WinnickiMayer H., Schams D.
Page 97 and 98: Milk recording in GermanyTable 1. E
Page 99 and 100: Milk recording in GermanyTable 3. A
Page 101 and 102: Milk recording in GermanyTable 5. M
Page 103 and 104: Main fields ofactivities of theGerm
Page 105 and 106: Influence of duration of a and c ph
Page 111 and 112: Nosal & BilgeryVibrations and vacuu
Page 113 and 114: Nosal & BilgerykPa45.645.445.245.04
Page 115 and 116: Nosal & BilgeryIn case of problems
Page 117 and 118: Testing of vacuum during milkingEva
Page 119 and 120: Testing of vacuum during milkingthe
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
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Characterising the farms equipped w
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Designing optimal robotic milking b
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ArtmannThe effects of automatic mil
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ArtmannData was collected on the ma
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ArtmannThe differences of the co-ef
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BarthEvaluation of somatic cell cou
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BarthTable 1. Determined and real m
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Barthyield is often a side effect o
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Milking parameters in modified milk
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Pallas & WendtThe development of ud
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Pallas & WendtSCC (x 1,000) / ml250
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Pallas & WendtTrilk, J. und Münch,
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Udder health and milk low profilesA
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Udder health and milk low profilesD
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AMS in Czech RepublicThis farm size
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AMS in Czech RepublicTable 1. Effec
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AMS in Czech RepublicFigure 1. Stab
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BruckmaierSpecific aspects of milk
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Bruckmaiertowards the end of lactat
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BruckmaierBruckmaier, R.M., D. Scha
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Teat callosity and mastitisResultsT
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de Koning et al.Milking characteris
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de Koning et al.Table 1. Statistica
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Influence of ageing on linersThe re
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Neijenhuis & HogeveenMilking interv
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Knízková et al.Effect of old and
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Knízková et al.Thermograms of the
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Knízková et al.Kunc, P., Knízkov
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Postmilking teat disinfectingIntrod
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Postmilking teat disinfectingNDT an
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Los & MaškováTeatcup hardness aft
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Los & MaškováIt follows from the
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Trends in milking equipmentThe fina
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Olechnowicz & TurkiMilking and milk
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Table 2. Milk components and somati
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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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