Changes in milking parameters with robotic milking

Sitkowska, Beata; Piwczyński, Dariusz; Aerts, J.; Waśkowicz, M.

doi:10.5194/aab-58-137-2015

Cited by 25 publications

(13 citation statements)

References 27 publications

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“…In addition to the milk yield and milk quality in its broad definition, milking speed is an important parameter with regard to milk production profitability (Sivarajasingam et al, 1984). The mean milk yield per minute, obtained in our study for primiparous and multiparous cows (during the first two lactation periods and with udder health determined by milk electrical conductivity of ≤5.50 and 5.51-7.00 mS/cm - Table 3), correspond with earlier research findings (Lee and Choudhary, 2006;Bogucki and Neja, 2008;Sitkowska et al, 2015).…”

Section: Resultssupporting

confidence: 90%

Relationships Between Milk Electrical Conductivity, Daily Milk Yield, and Milking Ability of Primiparous and Multiparous Cows

2020

THE JAPS

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The new techniques for automation of the milking process allow for early diagnosis of mastitis. Diagnosis of subclinical mastitis should be a priority for every producer aiming to obtain raw milk of highest possible cytological quality. The analyses were performed based on herd milking data for Polish Holstein-Friesian cows yielding an average of 9500 kg milk. The herd consisted of 180 lactating cows, data from almost 152 000 milkings were obtained. Correlations were calculated between milk electrical conductivity vs. daily yield and milking ability of primiparous and multiparous cows. The numerical data were statistically analysed using multifactorial analysis of variance. An increase in milk electrical conductivity and thus deteriorating udder health were paralleled by a significantly lower milk yield in both primiparous and multiparous cows. In primiparous cows, the decrease was 4.7 kg (from 32.0 with milk electrical conductivity of ≤5.50 mS/cm to 27.3 kg with conductivity of >7.00 mS/cm). A notably greater reduction in productivity was observed for multiparous cows (5.5 kg) between the extreme ranges of milk electrical conductivity. In both primiparous and multiparous cows, milking time increased progressively with increasing range of milk electrical conductivity (from 366 to 372 s and from 369 to 379 s, respectively). Milk yield per minute decreased by 0.41 kg (from 2.23 to 1.82 kg/min.) in older cows and by 0.32 kg (from 2.05 to 1.73 kg/min.) in primiparous cows. The deteriorating udder health caused a significant decrease in daily milk yield of the primiparous and multiparous cows in every lactation period. For both primiparous and multiparous cows, the highest milk yields per minute (2.08, 2.20, 2.20 and 1.88; 2.57, 2.37, 2.18 and 1.96 kg/min., respectively) in all lactation periods were observed when milk electrical conductivity (≤5.50 mS/cm) was indicative of very good udder health. In summing up, it is concluded that throughout lactation, in both primiparous and multiparous cows, daily milk yield decreased with increasing electrical conductivity of the milk and thus with deteriorating udder health. Furthermore, milk electrical conductivity had a significant effect (in the interaction with lactation period and daily milk yield of the cows) on milkability traits.

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Section: Resultssupporting

confidence: 90%

Relationships Between Milk Electrical Conductivity, Daily Milk Yield, and Milking Ability of Primiparous and Multiparous Cows

2020

THE JAPS

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“…This is clearly visible in the present study, where samples were divided by milk yield and lactation stage. The share of milkings with an increased SCC is significantly larger in the samples collected during late lactation stages and those with a lower milk yield, whereas in the research In previous contributions by the authors of the present study (21), an increased number of milkings and milking duration per day were found to be associated with a higher milk yield in cows. Österman et al (22) consider that cows milked three times a day have a higher hygienic quality of milk than those milked twice a day.…”

Section: Discussioncontrasting

confidence: 72%

Detection of high levels of somatic cells in milk on farms equippedwith an automatic milking system by decision trees technique

Sitkowska¹,

Piwczyński²,

Aerts³

et al. 2017

Turk J Vet Anim Sci

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The purpose of the study was to use decision trees to predict increased levels of somatic cells in cow's milk. The material for the study comprised data collected in 2012-2014 from five farms in Poland equipped with an automatic milking system. Data on 803 Polish Holstein-Friesian cows were collected. In order to predict somatic cell count data mining techniques were used to build a graphical model of a decision tree. This study found that the most important factors to anticipate an elevated somatic cell count in cow's milk are milk conductivity, lactation stage, and lactation (primiparous and multiparous cow groups), as well as milking speed and rumination time. An increase in these parameters was also associated with a higher percentage of samples with an elevated somatic cell count. It has been shown that in order to keep somatic cell count low in automatic milking system herds a farmer should pay particular attention to the milking speed.

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“…Bogucki, Sawa, and Neja () observed the increase in daily yield by 3.4 kg in the period of 12 months following the installation of the AMS. Sitkowska, Piwczynski, Aerts, and Waskowicz () described the increase in lactation yield in the scope of between 120 and over 2,000 kg in Polish Holstein–Friesian herds. Klungel, Slaghuis, and Hogeveen () and Janstova et al.…”

Section: Introductionmentioning

confidence: 99%

The impact of installation of automatic milking system on production and reproduction traits of dairy cows

Brzozowski

Piwczyński

Sitkowska

et al. 2018

Reprod Domestic Animals

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The objective of the research was the evaluation of change in the traditional milking system using automatic milking system in the scope of the selected reproduction features of dairy cows of the Polish Holstein-Friesian breed. Animal material consisted of 2,818 cows used on nine farms equipped with the automatic milking system Astronaut A4 made by Lely. The cows were controlled in the scope of services per conception, service period, length of pregnancy, calving interval and calving to conception period, milk yield, protein and fat content obtained in lactations of 305 days. The selected traits were observed between 2005 and 2015. In this period, the milking system was changed from the conventional to automated one. The collected data material was statistically processed, using the multifactorial analysis of variance. The period between the first calving and the second effective insemination was reduced by 11.8 days, and the period between the second calving and the third effective insemination was shortened by 4 days after the installation of the automatic milking system. The increase in milk yield by 466 kg during 305-day lactation was observed among primiparous cows. The percentage of protein and fat content in the researched groups decreased; moreover, the fall of intergroup variability was noticeable, which may be a sign of the levelling of the yield within the herd.

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Changes in milking parameters with robotic milking

Cited by 25 publications

References 27 publications

Relationships Between Milk Electrical Conductivity, Daily Milk Yield, and Milking Ability of Primiparous and Multiparous Cows

Relationships Between Milk Electrical Conductivity, Daily Milk Yield, and Milking Ability of Primiparous and Multiparous Cows

Detection of high levels of somatic cells in milk on farms equippedwith an automatic milking system by decision trees technique

The impact of installation of automatic milking system on production and reproduction traits of dairy cows

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