scholarly journals Technological Features of Milk Production Using VMS Robotic Milking Systems in the Conditions of the Vologda Oblast

2018 ◽  
Author(s):  
Vladislav Nikiforov ◽  
Leonid Nikitin ◽  
Vladislav Uglin ◽  
Irina Serebrova ◽  
Darya Ivanova
Keyword(s):  
Milk Production ◽  
Vologda Oblast ◽  
Robotic Milking

scholarly journals Lactive activities and the process of milking of first-calf cows using robotic milking

2020 ◽  
Vol 17 ◽  
pp. 00038
Author(s):  
Lenar R. Zagidullin ◽  
Rifat R. Khisamov ◽  
Rubin R. Kayumov ◽  
Igor V. Lomakin ◽  
Nadezhda M. Kanalina
Keyword(s):  
Milk Production ◽  
Lactation Period ◽  
Milk Productivity ◽  
The Third ◽  
Average Productivity ◽  
Maximum Decrease ◽  
Robotic Milking

Studies have been conducted to assess the lactation productivity of first-calf cows of Kholmogory breed of Tatarstan type using robotic milking systems. The following changes in the amount of milking over the course of 10 months of lactation were observed: during the first month, the cows were milked the least number of times, which was 75, or 2.4 times per day. During the second month, they were milked 86 times (2.8 per day). By the 4th month, milking reached a peak of 93 times (3 per day). By the 5th month, a decline was observed (by 11 % compared to the 4th month). The average number of milking times per day was 2.8 ± 0.05 times. The amount of milking is closely correlated with milk productivity: twicemilked cows had an average productivity of 15.3 kg, 3 times – 19.0 kg, and 4 times – 27.0 kg (r = 0.69). The milking robot spent approximately 108 seconds, or 29 % of the time spent in the milking box, on preparation activities, including: udder cleaning, 39 seconds; scanning the position of the utter, 21 seconds; and connecting milking cups, 48 seconds. Lactation took most of the time, namely 251 seconds, or 66 %. The peak milk production takes place during the second month of lactation, 681.3 kg. By the third month, a decline was observed by 4.8 %, to 648.1 kg. The maximum decrease in milk production by 12.4 % occurred between the 5th and 6th month of the tested lactation period.

scholarly journals LACTIVE ACTIVITIES OF FIRST-CALF COWS USING ROBOTIC MILKING

2021 ◽  
Vol 246 (2) ◽  
pp. 256-261
Author(s):  
R.R. Khisamov ◽  
◽  
L.R. Zagidullin ◽  
R.R. Kayumov ◽  
◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Lactation Period ◽  
The Third ◽  
Maximum Decrease ◽  
Minimum Number ◽  
Robotic Milking

Studies have been conducted to assess the lactation productivity of Kholmogory breed Tatarstan type first-calf cows with robotic milking systems. The frequency of milking distribution during the day was observed: in the interval of 4-6 hours, the minimum number of milking occurs (6.4 %), in the interval of 12-14 hours, the maximum number (10.7 %). Most milking (34.7 %) is carried out in 6-8 hours after the previous one. More frequent milking (after 4-6 hours) is rarely observed is in 6 % of cases. 48.6 % of milking occurs after the 8-12 hour interval. For an interval of more than 12 hours occurs for 10.7 % of milking. With an increase in the milking interval, the milk yield also increases. At 4-6 hour interval, the milk yield is 5.2 kg, at 6-8 hour is 6.0 kg. An increase in the milking interval by 2 hours is accompanied by an increase in the single milk yield by 0.8-1.3 kg. During the first month, the cows were milked the least number of times, which was 75, or 2.4 times per day; during the second month, they were milked 86 times (2.8 per day). By the 4th month, milkings reached a peak of 93 times (3 per day). By the 5th month, a decline was observed (by 11 % compared to the 4th month). The peak milk production takes place during the second month of lactation, 681.3 kg. By the third month, a decline was observed by 4.8 %, to 648.1 kg. The maximum decrease in milk production, by 12.4 %, occurred between the 5th and 6th month of the tested lactation period.

scholarly journals Stress tolerance and productive longevity of cows with intensive milk production technologies

2021 ◽  
Vol 282 ◽  
pp. 02006
Author(s):  
I.M. Donnik ◽  
O.G. Loretts ◽  
O.S. Chechenikhina
Keyword(s):  
Stress Tolerance ◽  
Milk Production ◽  
Adrenocorticotropic Hormone ◽  
High Type ◽  
Black And White ◽  
Breed Type ◽  
Production Technologies ◽  
White Cattle ◽  
Robotic Milking

The studies were carried out on black-and-white cattle of the Ural intra-breed type, bred at the enterprises of the Sverdlovsk region. The studied groups of animals are formed depending on the milking technology (milking in a milk pipe, in milking parlors, robotic milking). The level of hormones in the groups of cows, where intensive milking technologies were used, is higher than in the groups of linear milking in the milk pipeline: prolactin by 17.2 ng / ml; adrenocorticotropic hormone by 10.3 pg / ml; cortisol by 5.3 nmol / l. The number of heifers with a high type of stress tolerance is on average 6.3% less in groups where intensive milking technologies were used in comparison with linear milking in a milk pipe.

PSX-B-7 Effect of supplementation of a robotic milker pellet on mixed diet intake, milk production, and blood metabolites of lactating cows

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 455-455
Author(s):  
Nick Uzee ◽  
Abigail R Rathert ◽  
Carlee M Salisbury ◽  
Dagan Montgomery ◽  
Andrew P Foote
Keyword(s):  
Body Weight ◽  
Milk Production ◽  
Fixed Effects ◽  
Mixed Model ◽  
Repeated Measure ◽  
Blood Metabolites ◽  
Nutrient Metabolism ◽  
Treatment Groups ◽  
Lactating Cows ◽  
Robotic Milking

Abstract The objective of this experiment was to determine the effect of concentrate pellets, typically supplied by a voluntary robotic milking system (VMS), on milk production and composition, nutrient metabolism, and diet dry matter intake (DMI) of lactating dairy cows. Holstein cows (n = 24) were assigned to receive either no supplemental pellets (CON), 2 kg/d (LP), or 6 kg/d (HP) in addition to ad libitum diet access, with treatments balanced by lactation number and days in milk. The LP group was allotted 1 kg of pellets every 12 hours and the HP group was allotted 2 kg every 8 hours, to simulate the amount consumed while visiting a VMS unit two or three times daily. Pellet and diet consumption were measured using the Insentec feeding system. Milk production was measured daily, utilizing a milk meter in a conventional parlor. Milk samples were collected twice weekly for 35 days and analyzed for components. Blood samples, body weight, and body condition scores were obtained weekly after the morning milking. Data were analyzed using a mixed model (SAS 9.4) with fixed effects of treatment, day, and their interaction, with day as a repeated measure. No treatment × day interaction was present for diet DMI (P = 0.72); however, addition of pellets to the LP and HP treatment groups decreased diet DMI when compared to CON (P < 0.006). Plasma lactate tended to be greater for CON (P = 0.09) than LP and HP treatment groups with no treatment effect on other blood metabolites (P ≥ 0.30). There was no effect of treatment on milk yield, milk components, or body weight and condition (P ≥ 0.23). These data suggest that feeding a pellet similar to conditions in a robotic milking system could alter DMI without negatively impacting metabolism or milk production.

scholarly journals Milk productivity and reproductive performance of black and white cows, depending on the technology of milk production

2021 ◽  
Vol 204 (01) ◽  
pp. 51-59
Author(s):  
Kristina Nazarova ◽  
G. Berezkina
Keyword(s):  
Milk Production ◽  
Physiological State ◽  
Collective Farm ◽  
Milk Productivity ◽  
Black And White ◽  
Udmurt Republic ◽  
Robotic Milking ◽  
The Republic ◽  
The Impact ◽  
Modern Technologies

Abstract. Milking cows is the final stage, which determines the effectiveness of milk production with all other issues resolved. The number of dairy farms equipped with modern milking machines is growing in the republic. Simultaneously with the increase in milk productivity of cows, the task is to use the least labor-intensive and energy-intensive technologies for milk production. At the same time, the health and tranquility of cows is a prerequisite for this, it is necessary to use modern technologies. The purpose is to study the impact of milking technology on the level of milk productivity, milk quality and reproductive indicators of cows. The object of the study is cows of black-and-pesky breed in the leading tribal farms of the Vavozhskiy district of the Udmurt Republic – collective farm (APC) named after Michurin and APC collective farm “Kolos”. Methods. Three groups of cows were formed using the pair-analog method: 1st group – loose-box keeping of cows using a robotic milking system, 2nd – loose-box keeping using milking machines “Evroparallel”, 3rd – loose-box keeping using the technology of milking cows through the milking parlor “Кarusel”. Results. Thus, in case of careless-box content and use of robotic milking plant, cows of black and pesky breeds outnumbered cows, which were fed using “Evroparallel” plant and milking technology with the help of milking hall “Кarusel” on all indicators of dairy productivity investigated by us (except for content of mass fraction of protein in milk) and reproduction qualities. Scientific novelty. Milking machines of outdated designs do not quite meet the physiological state of the animals, which leads to the loss of milk, premature start of cows and the incidence of mastitis. Thus, in the Udmurt Republic, new farms and complexes are being built, which are equipped with modern automated milking equipment, which excludes direct human participation in the process of obtaining milk, thereby increasing the quality and quantity of milk.

Effects on milk yield of milking interval regularity and teat cup attachment failures with robotic milking systems

2005 ◽  
Vol 72 (1) ◽  
pp. 101-106 ◽  
Author(s):  
Alex Bach ◽  
Isabel Busto
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Analysis Of Variance ◽  
Coefficient Of Variation ◽  
Fixed Effects ◽  
Random Effect ◽  
Robotic Milking ◽  
Daily Milk Yield ◽  
Daily Milk

A database consisting of 35291 milking records from 83 cows was built over a period of 10 months with the objectives of studying the effect of teat cup attachment failures and milking interval regularity on milk production with an automated milking system (AMS). The database collected records of lactation number, days in milk (DIM), milk production, interval between milkings (for both the entire udder and individual quarters in case of a teat cup attachment failure) and average and peak milk flows for each milking. The weekly coefficient of variation (CV) of milking intervals was used as a measure of milking regularity. DIM, milking intervals, and CV of milking intervals were divided into four categories coinciding with the four quartiles of their respective distributions. The data were analysed by analysis of variance with cow as a random effect and lactation number, DIM, the occurrence of a milking failure, and the intervals between milkings or the weekly CV of milking intervals as fixed effects. The incidence of attachment failures was 7·6% of total milkings. Milk production by quarters affected by a milking failure following the failure was numerically greater owing to the longer interval between milkings. When accounting for the effect of milking intervals, milk production by affected quarters following a milking failure was 26% lower than with regular milkings. However, the decrease in milk production by quarters affected by milking failures was more severe as DIM increased. Average and peak milk flows by quarters affected by a milking failure were lower than when milkings occurred normally. However, milk production recovered its former level within seven milkings following a milking failure. Uneven frequency (weekly CV of milking intervals >27%) decreased daily milk yield, and affected multiparous more negatively than primiparous cows.

Short-term effects of frequent milking of dairy cows

1989 ◽  
Vol 56 (4) ◽  
pp. 587-592 ◽  
Author(s):  
Renee Van Der Iest ◽  
J. Eric Hillerton
Keyword(s):  
Dairy Cows ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Production ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Milk Composition ◽  
Short Term ◽  
Robotic Milking ◽  
Experimental Values

SummaryWhen six cows were milked every 4 h over 48 h the average milk yield per cow increased by 1O·7% for the last 24 h period compared with the previous 5 d. Milk composition was similar to pre-experimental values although fat content was 0·5% lower in the last 24 h. The somatic cell count rose to twice the pre-experimental value over the first 24 h but was not significantly different by the second 24 h. It appears that cows responded quickly to an increased frequency of milking and milk of an acceptable composition was produced. This has implications for management of milk production where quotas are in operation and for robotic milking systems.

scholarly journals Bovine and human becomings in histories of dairy technologies: robotic milking systems and remaking animal and human subjectivity

BJHS Themes ◽  
2017 ◽  
Vol 2 ◽  
pp. 215-234 ◽  
Author(s):  
LEWIS HOLLOWAY ◽  
CHRISTOPHER BEAR
Keyword(s):  
Technological Change ◽  
Empirical Evidence ◽  
Milk Production ◽  
Human Agency ◽  
Dairy Farms ◽  
Recent Emergence ◽  
History Of ◽  
Robotic Milking ◽  
Automatic Milking Systems ◽  
The Uk

AbstractThis paper positions the recent emergence of robotic or automatic milking systems (AMS) in relation to discourses surrounding the longer history of milking technologies in the UK and elsewhere. The mechanization of milking has been associated with sets of hopes and anxieties which permeated the transition from hand to increasingly automated forms of milking. This transition has affected the relationships between humans and cows on dairy farms, producing different modes of cow and human agency and subjectivity. In this paper, drawing on empirical evidence from a research project exploring AMS use in contemporary farms, we examine how ongoing debates about the benefits (or otherwise) of AMS relate to longer-term discursive currents surrounding the historical emergence of milking technologies and their implications for efficient farming and the human and bovine experience of milk production. We illustrate how technological change is in part based on understandings of people and cows, at the same time as bovine and human agency and subjectivity are entrained and reconfigured in relation to emerging milking technologies, so that what it is to be a cow or human becomes different as technologies change. We illustrate how this results from – and in – competing ways of understanding cows: as active agents, as contributing to technological design, as ‘free’, as ‘responsible’ and/or requiring surveillance and discipline, and as efficient co-producers, with milking technologies, of milk.

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