scholarly journals Results of Automatic Milking System and Milk Performance on Selected Farms

10.5772/51757 ◽  
2012 ◽  
Author(s):  
Miroslav Marsalek ◽  
Jarmila Voriskova ◽  
Jana Zednikov
Keyword(s):  
Milk Performance ◽  
Automatic Milking System ◽  
Automatic Milking

The milking frequency of primiparous cows in their early stage of lactation and its impact on milking performance

2020 ◽  
Vol 60 (3) ◽  
pp. 436
Author(s):  
Beata Sitkowska ◽  
Dariusz Piwczyński ◽  
Magdalena Kolenda ◽  
Jolanta Różańska-Zawieja
Keyword(s):  
Early Stage ◽  
Stage Of Lactation ◽  
Holstein Friesian ◽  
Full Production ◽  
Milk Performance ◽  
Milking Frequency ◽  
Automatic Milking System ◽  
Automatic Milking ◽  
The Relationship ◽  
Potential Use

An automatic milking system allows cows to present their full production capability by not limiting them to a specific time when the milking occurs or a fix number of milkings per day. The beginning of the first lactation is a key point in terms of subsequent milk production. The aim of the present study was to indicate the relationship between the milking frequency of primiparous cows during the first month of lactation and their subsequent milk performance. Material of the study consisted of 25 Polish herds of Holstein–Friesian dairy cattle. All cows were milked with the use of an automatic milking system. Animals were divided into five groups, depending on the milking frequency in the first month after calving (MFF). The collected data were statistically processed using the multifactorial ANOVA. The best milk and milking parameters characterised primiparous cows, for which the average number of milkings per day was at the level of 3–3.5 or above, this group did not have a preferred time for their milking. This group of cows milked more frequently during the first month of lactation (MFF5) and had the highest milk yield (MY) and milking duration. The highest culling percentage (57.77%) was noted within the group of primiparous cows with the lowest milking frequency during the first month of lactation (MFF1). MFF5 animals maintained better milk and milking parameters in all months of lactation than did those in the other groups. Older animals, that calved after the 28th month of life, and those that calved during warmer seasons, showed the tendency to have a lower milking frequency and poorer milk and milking parameters. The findings obtained in the present study are interesting in terms of their potential use, because they show that frequent milking during the first month after calving corresponds to a better overall MY during that lactation. Hopefully, by promoting frequent milkings at the beginning of lactation, farmer may increase the overall lactation MY.

scholarly journals Comparison of the fit of automatic milking system and test-day records with the use of lactation curves

2020 ◽  
Vol 33 (3) ◽  
pp. 408-415
Author(s):  
B. Sitkowska ◽  
M. Kolenda ◽  
D. Piwczyński
Keyword(s):  
Bayesian Information Criterion ◽  
Information Criterion ◽  
Coefficient Of Determination ◽  
Dairy Herds ◽  
Lactation Curve ◽  
Milk Performance ◽  
Automatic Milking System ◽  
Automatic Milking ◽  
Automatic Milking Systems ◽  
Wood Model

Objective: The aim of the paper was to compare the fit of data derived from daily automatic milking systems (AMS) and monthly test-day records with the use of lactation curves; data was analysed separately for primiparas and multiparas.Methods: The study was carried out on three Polish Holstein-Friesians (PHF) dairy herds. The farms were equipped with an automatic milking system which provided information on milking performance throughout lactation. Once a month cows were also subjected to test-day milkings (method A4). Most studies described in the literature are based on test-day data; therefore, we aimed to compare models based on both test-day and AMS data to determine which mathematical model (Wood or Wilmink) would be the better fit.Results: Results show that lactation curves constructed from data derived from the AMS were better adjusted to the actual milk yield (MY) data regardless of the lactation number and model. Also, we found that the Wilmink model may be a better fit for modelling the lactation curve of PHF cows milked by an AMS as it had the lowest values of Akaike information criterion, Bayesian information criterion, mean square error, the highest coefficient of determination values, and was more accurate in estimating MY than the Wood model. Although both models underestimated peak MY, mean, and total MY, the Wilmink model was closer to the real values.Conclusion: Models of lactation curves may have an economic impact and may be helpful in terms of herd management and decision-making as they assist in forecasting MY at any moment of lactation. Also, data obtained from modelling can help with monitoring milk performance of each cow, diet planning, as well as monitoring the health of the cow.

scholarly journals Modelling Pasture-based Automatic Milking System Herds: Grazeable Forage Options

2015 ◽  
Vol 28 (5) ◽  
pp. 703-715 ◽  
Author(s):  
M. R. Islam ◽  
S. C. Garcia ◽  
C. E. F. Clark ◽  
K. L. Kerrisk
Keyword(s):  
Automatic Milking System ◽  
Automatic Milking

scholarly journals Influence of feeding flavouring-appetizing substances on activity of cows in an automatic milking system

2009 ◽  
Vol 8 (sup2) ◽  
pp. 516-518 ◽  
Author(s):  
David Meo Zilio ◽  
Federico Vincenti ◽  
Silvia Ballico ◽  
Antonella Ficco ◽  
Antonella Juárez
Keyword(s):  
Automatic Milking System ◽  
Automatic Milking

The influence of feeding strategies on the attendance of cows to an automatic milking system, and their effects on lying and feeding behaviour

1996 ◽  
Vol 1996 ◽  
pp. 78-78
Author(s):  
N.B. Prescott ◽  
T.T.F. Mottram ◽  
A.J.F. Webster
Keyword(s):  
Feeding Behaviour ◽  
The Other ◽  
Feeding Strategies ◽  
Alternative Design ◽  
Milk Cows ◽  
Automatic Milking System ◽  
Automatic Milking ◽  
Effect Of Feeding

An automatic milking system (AMS) has the potential to milk cows when the cow chooses. However cows must attend the system at an appropriate frequency. The provision of food in the AMS is a robust, way of luring cows into the system. The system can be arranged such that the cows have to visit the AMS to access food in the exit area the other side. Here they can be fed forage or concentrate. It has been shown that feeding cows forage as a lure can result in modified forage feeding behaviour, and this may be to the detriment of the cows (Winter, 1993, Ketelaar-de-Lauwere, 1992). Feeding concentrate in the exit area may be an alternative design if the level of attendance generated is high enough. Cows can also be fed concentrate in the milking stall of the AMS. The aim of this experiment was to compare die effects of feeding forage or concentrate in the exit area and the effect of feeding or not feeding concentrate in the milking stall on attendances, and lying and feeding behaviour.

scholarly journals Feasibility of using automatic milking system data from commercial herds for genetic analysis of milkability

2013 ◽  
Vol 96 (8) ◽  
pp. 5324-5332 ◽  
Author(s):  
C. Carlström ◽  
G. Pettersson ◽  
K. Johansson ◽  
E. Strandberg ◽  
H. Stålhammar ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
System Data ◽  
Automatic Milking System ◽  
Automatic Milking
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