ICAR Technical Series no. 7 - Nitra Proc.

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Tongel & MihinaManaging the quality of milk by means ofmastitis monitoringP. Tongel & S. MihinaResearch Institute for Animal Production,Hlohovska 2, 949 01 Nitra, Slovak RepublicE-mail: tongel@vuzv.skOn the basis of our previous experiments a mathematical model wascreated which enables to trace the influence of ill cows on the total milkquality of produced milk (Tongel and Mihina, 2000).The model is represented with mathematical equation, which can model asituation when more cows with mastitis in various stage of illness are inthe various herd size. For the purpose of the faster and easier evaluationof effect of ill cows on BTSCC a normogram was created .At present we use the model for managing of produced milk quality onthe farm where the model was experimentally tested in practice.A herd of 423 dairy cows was monitored on mastitis by means of theelectrical conductivity (EC) measurement of the milk (Tongel et al., 1994)in our experiment . For this purpose we used the REM test (Rapid electronicmastitis test) (Tongel and Mihina, 1995). After all cows had been monitoredfor three times, we split them into two groups. In the first group therewere placed all cows that did not show any signs of mastitis (the differencesof EC between quarters were in tolerance). In the second one were cowsthat had some problems in one or more quarters. There were 167 cows inthe first group and 256 in the second one.When cows from the first group were milked only, the BTSCC was under45 000 in average. Milking first and second group together resulted inBTSCC 653 000.Because the farm needed to deliver milk in Q class quality (SCC less than300 000) to cancel previous bad quality results we decided to discard milkfrom all cows with mastitis in two and more quarters. These cows were 35.After the discarding the resulting BTSCC was 427 000.ICAR Technical Series - No 7247
Milk quality and mastitis monitoringBecause it was not enough for our purpose, another 30 cows with mastitisin one quarter of the udder were separated (they were cows which havethe highest difference of EC in ill quarter opposite the quarter with thenearest value of EC of the examined cow). The resultant BTSCC after theseparation was 275 000.From previous experiment (Tongel and Mihina, 1999) we knew that it isuneconomical and not needed to separate all milk from cows with onemastitis quarter. That was why we tried to separate milk from ill quartersonly. The result of this was SCC 293 000.At the end it is possible to say that the model have shown to be a veryeffective one for managing of produced milk quality, but it must bementioned that for the purpose of separation of milk from ill cows(quarters) it is very suitable to make us sure that the quarters with highEC have really high SSC because only about 80% of cows with the highestdifference of EC have the highest SCC, too (Tongel and Mihina, 1998).ReferencesTongel, P., Mihina, S., Cobotova, E., 1994; Detection of mastitis bymeans of electrical conductivity measurement. Journal of Farm AnimalScience (Vedecké práce VÚZV Nitra), 27, 65-70.Tongel, P., Mihina, S., 1995; Detection of mastitis with REM test.Journal of Farm Animal Science (Vedecké práce VÚZV Nitra), 28, 71-75.Tongel, P., Mihina, S., 1998; Regresný model závislosti poctusomatických buniek v mlieku od jeho mernej elektrickej vodivosti. Journalof Farm Animal Science (Vedecké práce VÚZV Nitra), 31, 51-57.Tongel, P., Mihina, S., 1999; Raising the quality of produced milkby means of separate milking of ill cows. Journal of Farm Animal Science(Vedecké práce VÚZV Nitra), 32, 71-79.Tongel, P., Mihina, S., 2000; The mathe-matical model of raisingthe quality of produced milk by means of separate milking of ill cows.Journal of Farm Animal Science (Vedecké práce VÚZV Nitra), 33, 89-97.248Conference on "Physiological and technicalaspects of machine milking"
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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
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Testing of vacuum during milkingEva
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Testing of vacuum during milkingthe
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Ryšánek et al.Vacuum fluctuation
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Ryšánek et al.Teat injuries were
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Ryšánek et al.Particular attentio
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de KoningAutomatic milking:Chances
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de Koningfor some time after the mi
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de KoningMilk quality is without do
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de Koningwhen the bulk tank is empt
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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
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
Page 217 and 218: Table 2. Milk components and somati
Page 219 and 220: Lipinski et al.Effect of some selec
Page 221 and 222: Lipinski et al.Milk hygiene quality
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Page 225 and 226: Effect of two milking systems on te
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Page 233 and 234: Botto et al.Effect of ultrasound in
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Page 239 and 240: Luger et al.Effect of inclination a
Page 241 and 242: Luger et al.There is no difference
Page 243 and 244: Harty et al.Modelling of liner beha
Page 245 and 246: Harty et al.A solid plane was const
Page 247 and 248: Provolo & SangiorgiUsing daily data
Page 249 and 250: Provolo & SangiorgiFigure 3. Averag
Page 251 and 252: Provolo & SangiorgiFigure 7. Cow no
Page 253 and 254: Provolo & Sangiorgistandardisation
Page 255 and 256: Cognome/iInhibition of oxytocin rel
Page 257 and 258: Tancin et al.Milk flow patterns: in
Page 259 and 260: Szlachta & AleksanderThe influence
Page 261 and 262: Szlachta & Aleksanderforces in the
Page 263 and 264: Szlachta & Aleksanderpressure diffe
Page 265 and 266: List of participantsŠtefan BodoSPU
Page 267 and 268: List of participantsMarian GregušI
Page 269 and 270: List of participantsMarija KlopcicD
Page 271 and 272: List of participantsŠtefan MihinaV
Page 273 and 274: List of participantsEduard Pravnans
Page 275 and 276: List of participantsJozef Tonhauser
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ICAR Technical Series no. 7 - Nitra Proc.

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