Comparison of results coming from automatic milking system in selected countries in Europe and U.S.

Piwczyński, Dariusz; Gondek, Jan; Sitkowska, Beata; Kolenda, Magdalena

doi:10.5513/jcea01/21.2.2559

Cited by 8 publications

(10 citation statements)

References 12 publications

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“…Compared to the colostral period, there were increases in the number of milkings/day (up to 2.78) and in the number of refusals milkings (up to 1.70). The observed number of milkings per day is in agreement with the range (2.5–2.9) reported in the literature for AMS-milked cows [ 24 , 25 , 26 , 27 , 28 ]. Cows released milk after an average of 14 s, milking time was 352 s/visit, and milk flow time from the udder was 250 s/visit.…”

Section: Resultssupporting

confidence: 91%

Prediction of Lactational Milk Yield of Cows Based on Data Recorded by AMS during the Periparturient Period

Kliś¹,

Piwczyński

Sawa

et al. 2021

Animals

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Early prediction of lactation milk yield enables more efficient herd management. Therefore, this study attempted to predict lactation milk yield (LMY) in 524 Polish Holstein–Friesian cows, based on information recorded by the automatic milking system (AMS) in the periparturient period. The cows calved in 2016 and/or 2017 and were used in 3 herds equipped with milking robots. In the first stage of data analysis, calculations were made of the coefficients of simple correlation between rumination time (expressed as mean time per cow during the periparturient period: second (14–8 days) and first (7–1 days) week before calving, 1–4, 5–7, 8–14, 15–21 and 22–28 days of lactation), electrical conductivity and temperature of milk (expressed as means per cow on days 1–4, 5–7, 8–14, 15–21 and 22–28), amount of concentrate intake, number of milkings/day, milking time/visit, milk speed and lactation milk yield. In the next step of the statistical analysis, a decision tree technique was employed to determine factors responsible for LMY. The study showed that the correlation coefficients between LMY and AMS traits recorded during the periparturient period were low or moderate, ranging from 0.002 to 0.312. Prediction of LMY from the constructed decision tree model was found to be possible. The employed Classification and Regression Trees (CART) algorithm demonstrated that the highest lactation yield is to be expected for cows with completed lactations (survived until the next lactation), which were milked 4.07 times per day on average in the 4th week of lactation. We proved that the application of the decision tree method could allow breeders to select, already in the postparturient period, appropriate levels of AMS milking variables, which will ensure high milk yield per lactation.

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Section: Resultssupporting

confidence: 91%

Prediction of Lactational Milk Yield of Cows Based on Data Recorded by AMS during the Periparturient Period

Kliś¹,

Piwczyński

Sawa

et al. 2021

Animals

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“…Results showed a highly significant impact of the origin country of milked cows on all parameters recorded by AMS (Table 1), which is in accordance with the results of previous study carried out by the same authors (Waśkowicz et al, 2014;Piwczyński et al, 2020a). While these studies concerned analogous features and countries, they spanned the period of operation from 2012-2017.…”

Section: Resultssupporting

confidence: 90%

“…In these studies, authors suggested that the differentiation of countries in terms of controlled milk yields, was a result of a different genetic potential of dairy cows. In the present study, as well as in the previous one (Piwczyński et al, 2020a) the statistical influence of milking year and the country × milking year interaction on most of the analysed features was demonstrated, with the exception of milking year on average daily days in milk and the number of rejected milkings, as well as interaction of country × year on percentage of fat and protein.…”

Section: Resultssupporting

confidence: 84%

“…Czerniawska-Piątkowska et al, (2012) noted the increase in the number of milkings from 2 to 4 times a day, which resulted in an increse of milk yiled in 305day lactation by 1160 kg. In the previous research by the authors of this study, it was shown that cows in AMS barns in selected Eropean Union (EU) and United States (US) countries milk on average from 2.50 to 2.73 per day (Piwczyński et al, 2020a). At the same time, in the latest research, conducted on a vast dataset, it was found that the change of the milking system from conventional to automatic resulted in an increase in the yield of cows in the first (+ 1 078 kg) and the second (+ 1 182 kg) standardised 305-day lactation (Piwczyński et al, 2020b).…”

Section: Introductionmentioning

confidence: 68%

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Comparison of Parameters of Automatic Milking in Selected Countries in European Union and United States

et al. 2021

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The aim of this study was to compare selected parameters of automatic milking in various European Union countries and United States recorded between 2018 and 2020. Statistical analysis showed highly significant effect of country on all tested milking parameters. It was noted that i.e. the average number of cows per one robot, depending on country, ranged between 51.49 (the Netherlands) and 60.03 (Germany). Cows were milked on the average 2.50 (France) -2.83 (Latvia) per day, with milking speed ranging from 2.30 kg/min (Lithuania) to 2.99 kg/min (US). Daily milk yield obtained from one cow ranged from 25.12 kg (Lithuania) to 34.11 kg (US), while milk efficiency from 1.44 (Lithuania) to 1.77 kg/min (US). Results also showed that the daily milk yield from one robot ranged from 1 351 kg (Latvia) to 1 930 kg (US). The statistical differences between the milking parameters in the compared countries may be the result of the diversified genetic potential of milked cows and the diversity of the feed base.

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“…In terms of MY, the study group of Polish Holstein-Friesian cows represented a typical level for the milk recorded cows of this breed [4]. The average levels of MF, MS, and MY in our study fell within the ranges reported by Piwczyński et al [38] for a population of automatically milked cows in selected European countries and in the USA, namely: MF: 2.50-2.81 milkings/24 h, MY: 22.22-34.07 kg/min, MS: 2.05-2.83 kg/min.…”

Section: Discussionsupporting

confidence: 79%

Genetic Parameters Estimation of Milking Traits in Polish Holstein-Friesians Based on Automatic Milking System Data

Aerts

Piwczyński

Ghiasi

et al. 2021

Animals

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The automatic milking system (AMS) provides a large amount of information characterizing the course of each milking cow, which is not available in the conventional system. The aim of our study was to estimate heritability and genetic correlations for milk yield (MY), milking frequency (MF), and speed (MS) for 1713 Polish Holstein-Friesian primiparous cows milked in barns with an AMS. Daily heritability indicators estimated using second-order Legendre polynomials and Random Regression Models showed high variation during lactation, ranging 0.131–0.345 for MY, 0.153–0.322 for MF, and 0.336–0.493 for MS. The rates of genetic correlation between traits ranged: 0.561–0.929 for MY-MF, (−0.255)−0.090 for MF-MS, (−0.174)−0.020 for MY-MS. It is possible to carry out effective selection for milking speed, which provides an opportunity to increase the number of cows per milking robot, and thus increase the profitability of production in the herd. The results proved that selection for milk yield and daily milking frequency is also feasible. The research showed a high, positive genetic correlation between milking frequency and milk yield, which allows us to conclude that preferring breeding cows with a natural tendency to frequent visits to the milking robot should indirectly improve the genetic basis of milking.

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Comparison of results coming from automatic milking system in selected countries in Europe and U.S.

Abstract: The purpose of the study was to compare data recorded by the automatic milking in the Czech Republic,

Cited by 8 publications

References 12 publications

Prediction of Lactational Milk Yield of Cows Based on Data Recorded by AMS during the Periparturient Period

Prediction of Lactational Milk Yield of Cows Based on Data Recorded by AMS during the Periparturient Period

Comparison of Parameters of Automatic Milking in Selected Countries in European Union and United States

Genetic Parameters Estimation of Milking Traits in Polish Holstein-Friesians Based on Automatic Milking System Data

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