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2013 | 12 | 4 |

Tytuł artykułu

The daily distribution of milkings of cows in farms equipped with the automatic milking system

Treść / Zawartość

Warianty tytułu

PL
Dobowy rozkład dojów krów w gospodarstwie wyposażonym w automatyczny system doju

Języki publikacji

EN

Abstrakty

EN
The material of the study consisted of 140 cows of PHF breed, reared in the farm equipped with the automatic milking system (AMS). Cows in different lactations (from 1 to 5) were reared in the period from May 2011 to April 2013. The daily distribution of milkings (12, two-hours periods) was analyzed according to: cows’ age (primiparous and multiparous), the average milk production per milking during the whole lactation (<12.5 kg, ≥12.5 kg) and season (spring, summer, autumn, winter). The statistical analysis was conducted with the use of the χ2 independence test. It was noted that the daily distribution of milkings was statistically conditioned by all analyzed factors. The first peak of the increased milking frequency was obtained during midday hours and the next one during late night hours, i.e. during hours that are generally different from the typical milking hours in farms that do not use AMS. The lowest milking frequency was recorded during milking hours typical for farms that do not use the AMS.
PL
Badaniami objęto grupę 140 krów będących w laktacjach od 1 do 5, rasy PHF, utrzymywanych w gospodarstwie wyposażonym w automatyczny system doju. Dobowy rozkład dojów (12 dwugodzinnych okresów) analizowano w zależności od: wieku zwierząt (pierwiastki i wieloródki), przeciętnej ilości oddawanego mleka w doju w czasie całej laktacji (<12,5 kg, ≥12,5 kg) i pory roku (wiosna, lato, jesień, zima). Statystyczną analizę danych przeprowadzono za pomocą testu niezależności X2. Stwierdzono, że dobowy rozkład dojów warunkowany był statystycznie wpływem wszystkich analizowanych czynników. Pierwszy szczyt wzmożonej częstotliwości oddawania mleka przypadał na godziny południowe, zaś kolejny na późnowieczorne, tj. na godziny na ogół odmienne od typowych godziny doju w gospodarstwach niekorzystających z automatycznego systemu doju. Najmniejszą aktywność krów w zakresie częstotliwości doju rejestrowano w typowych godzinach doju gospodarstw, które nie korzystają z automatycznego systemu doju.

Wydawca

-

Rocznik

Tom

12

Numer

4

Opis fizyczny

p.61-70,fig.,ref.

Twórcy

  • Department of Genetics and General Animal Breeding, University of Technology and Life Sciences in Bydgoszcz, Mazowiecka 28, 85-084 Bydgoszcz, Poland
autor
  • University of Technology and Life Sciences in Bydgoszcz, Bydgoszcz, Poland
autor
  • Lely East Ltd, Biale Blota, Poland
autor
  • University of Technology and Life Sciences in Bydgoszcz, Bydgoszcz, Poland

Bibliografia

  • André G., Berentsen P.B.M., Engel B., de Koning C.J.A.M., Oude Lansink A.G.J.M., 2010. Increasing the revenues from automatic milking by using individual variation in milking characteristics J. Dairy Sci. 93, 942-953.
  • Bach A., Devant M., Igleasias C., Ferrer A., 2009. Forced traffic in automatic milking systems effectively reduces the need to get cows, but alters eating behavior and does not improve milk yield of dairy cattle. J. Dairy^Sci. 92, 1272-1280.
  • Bach A., Iglesias C., Calsamiglia S., Devant M„ 2007. Effect of amount of concentrate offered in automatic milking systems on milking freąuency, feeding behavior, and milk production of dairy cattle consuming high amounts of com silage. J. Dairy Sci. 90, 5049-5055.
  • Bach A., Busto I., 2005. Effects on milk yield of milking interval regularity and teat cup attachment failures with robotic milking systems. Dairy Res. 72, 101-106.
  • Bava L., Tamburini A., Penati C., Riva E., Mattachini G., Provolo G., Sandrucci A., 2012. Effects of feeding frequency and environmental conditions on dry matter intake, milk yield and behavior of dairy cows milked in conventional or automatic milking systems. Ital. J. Anim. Sci. 11(3), 230-235.
  • Bruckmaier R. M., Mačuhová J., Meyer FI.H.D., 2001. Specific aspects of milk ejection in robotic milking: A review. Livest. Prod. Sci. 72, 169-176.
  • Carlström C., Pettersson G., Johansson K., Strandberg E., Stålhammar H., Philipsson J., 2013. Feasibility of using automatic milking system data from commercial herds for genetic analysis of milk ability. J. Dairy Sci. 96, 5324-5332.
  • Castro A., Pereira J.M., Amiama C., Bueno J., 2012. Estimating efficiency in automatic milking systems. J. Dairy Sci. 95, 929-936.
  • Czemiawska-Piątkowska E., Gralla K., Szewczuk M., Chociłowicz E., 2012. The com- parison of yield, composition and ąuality of cow milk depending on twice-a-day and four-times-a-day milking. Acta Sci. Pol., Zootechnica 11(4), 21-30.
  • Deming J.A., Bergeron R., Leslie K.E., DeVries T.J., 2013. Associations of housing, ma- nagement, milking activity, and standing and lying behavior of dairy cows milked in automatic systems. J. Dairy Sci. 96, 344-351.
  • Erdman R.A., Vamer M. 1995. Fixed yield responses to increased milking frequency. J. Dairy Sci. 78, 1199-1203.
  • Gygax L., Neuffer I., Kaufmann C„ Hauser R., Wechsler B., 2007. Comparison of func- tional aspects in two automatic milking systems and auto-tandem milking parlors. J. Dairy Sci. 90, 4265^1274.
  • Hogeveen H., Ouweltjes W., de Koning C.J.A.M., Stelwagen K., 2001. Milking interval, milk production and milk flow-rate in an automatic milking system. Livest. Prod. Sci. 72, 157-167.
  • Kozłowska H., Sawa A., Neja W., 2013. Analysis of the number cow visits to the milking robot. Acta Sci. Pol., Zootechnica 12(3), 37-48.
  • Laurs A., Priekulis J., 2011. Variability of milking freąuency and intervals between milkings in milking robots. Agro. Research Biosys. Eng. Spec. Issue 1, 135-141.
  • Mačuhova J., Tančin V., Bruckmaier R.M., 2003. Oxytocin release, milk ejection and milk removal in a multi-box automatic milking system. Livest. Prod. Sci. 81, 139-147.
  • Madsen J., Weisbjerg M.R., Hvelplund T„ 2010. Concentrate composition for Automatic Milking Systems - Effect on milking frequency. Livest. Sci. 127,45-50.
  • Melin M., Hermans G.G.N., Pettersson G., Wiktorsson H., 2006. Cow traffic in relation to social rank and motivation of cows in an automatic milking system with control gates and an open waiting area. Appl. Anim. Behav. Sci., 96, 201-214.
  • Nixon M., Bohmanova J., Jamrozik J., Schaeffer L.R., Hand K., Miglior F., 2009. Genetic parameters of milking frequency and milk production traits in Canadian Holsteins milked by an automated milking system. J. Dairy Sci. 92, 3422-3430.
  • SAS Institute Inc. 2013. SAS/STAT 9.4 User’s Guide. Cary, NC: SAS Institute Inc.
  • Speroni M., Pirlo G., Lolli S., 2006. Effect of automatic milking systems on milk yield in a hot environment. J. Dairy Sci. 89, 4687^1693.
  • Stelwagen K., Phyn C.V., Davis S.R., Guinard-Flament J., Pomiès D., Roche J.R., Kay J.K., 2013. Invited review: reduced milking frequency: milk production and manage- ment implications. J. Dairy Sci. 96, 3401-3413.
  • Svennersten-Sjaunja K.M., Pettersson G., 2008. Pros and cons of automatic milking in Europę. J. Anim. Sci. 86, 37-46.
  • Wagner-Storch A.M., Palmer R.W., 2003. Feeding behavior, milking behavior, and milk yields of cows milked in a parlor versus an automatic milking system. J. Dairy Sci. 86, 1494-1502.
  • Winnicki S., Kołodziejczyk T., Glowicka-Wołoszyn R„ Myczko A., Musielska B., 2010. Behavior of cows and its consequences related to the use of milking robots Engineering for rural development Jelgava, 85-88.
  • Winter A., Hillerton J.E., 1995. Behaviour associated with feeding and milking of early lactation cows housed in an experimental automatic milking system. Appl. Anim. Behav. Sci., 46, 1-15.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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