scholarly journals Modelling Pasture-based Automatic Milking System Herds: The Impact of Large Herd on Milk Yield and Economics

2015 ◽  
Vol 28 (7) ◽  
pp. 1044-1052
Author(s):  
M. R. Islam ◽  
C. E. F. Clark ◽  
S. C. Garcia ◽  
K. L. Kerrisk
Keyword(s):  
Milk Yield ◽  
Large Herd ◽  
Automatic Milking System ◽  
Automatic Milking ◽  
The Impact

The impact of a shaded pre-milking yard on a pasture-based automatic milking system

2017 ◽  
Vol 57 (7) ◽  
pp. 1219 ◽  
Author(s):  
Ashleigh M. Wildridge ◽  
Sergio C. Garcia ◽  
Peter C. Thomson ◽  
Ellen C. Jongman ◽  
Cameron E.F. Clark ◽  
...  
Keyword(s):  
Milk Yield ◽  
Negative Impact ◽  
Metabolic Stress ◽  
Shade Treatment ◽  
Respiration Rates ◽  
Lactating Cows ◽  
Automatic Milking System ◽  
Automatic Milking ◽  
Cow Performance ◽  
The Impact

During hot weather cows typically reduce feed intake and actively seek shade and water to reduce the metabolic stress on their bodies. This can have a negative impact on the occurrence of voluntary milking visits to an automatic milking system (AMS) operating with voluntary traffic, thus reducing milking frequency. Shade is known to be effective in alleviating heat stress in dairy cattle; however, the impact of providing shade at the milking facility of a pasture-based AMS on time taken to voluntarily enter a milking unit is unknown. A herd of ~300 lactating cows milked in a pasture-based AMS were divided into two groups during the summer of 2016. Each group spent 4 weeks in a SHADE (predominately shaded pre-milking yard) and a NO-SHADE (predominantly non-shaded pre-milking yard) treatment, with two periods in a crossover design. Cow respiration rates, time spent in pre- and post-milking areas, concentrate consumption and milk yield were recorded. On average, cows in the SHADE treatment were found to take longer to enter the milking unit than did cows in the NO-SHADE treatment (SHADE = 11.40 min, NO-SHADE = 8.70 min, P < 0.001). SHADE was also associated with lower average respiration rates (SHADE = 68 breaths per minute (bpm), NO-SHADE = 73 bpm, P < 0.001), increased concentrate consumption (SHADE = 6.50 kg/cow.day, NO-SHADE = 6.39 kg/cow.day, P = 0.03) and increased milk yield (SHADE = 11.44 kg/cow.milking, NO-SHADE = 10.95 kg/cow.milking, P < 0.001). Overall, SHADE made available to the cows pre-milking appeared to improve cow performance and comfort (as indicated by reduced respiration rates).

The impact of IPARD supports on structural and managerial featuresof dairy enterprises in Afyonkarahisar province

2017 ◽  
Author(s):  
Mehmet Yardimci ◽  
Hikmet Ari ◽  
Recep Aslan
Keyword(s):  
Statistical Analysis ◽  
Milk Yield ◽  
Production Quality ◽  
Years Of Experience ◽  
Before And After ◽  
Automatic Milking System ◽  
Automatic Milking ◽  
Daily Milk Yield ◽  
The Impact ◽  
Daily Milk

A survey was carried out to determine the impact of IPARD supports on dairy enterprises in Afyonkarahisar. IPADR beneficiary group found to have 3-5 years of experience, university graduate owners with no extra income where records are kept and statistical analysis is performed. Non-beneficiary group was more experienced with less educated owners, half had an extra income but did not keep records and not perform statistical analysis. In the first group, average daily milk yield was 25 liters, calves were weaned at 90 days, automatic milking system was used, hoof care was regularly performed, manure was removed by scrapers, teats were cleaned before and after milking while in the second group average daily milk yield is 10-30 liters, calves were weaned between 30-90 days, mobile milking machines were used, hoof care was slightly performed, manure was collected manually, teats were cleaned before milking. Consequently, IPARD grants were useful for improving the production quality, hygiene and amount in dairy enterprises.

Relative motivations of dairy cows to attend a voluntary automatic milking system

1997 ◽  
Vol 20 ◽  
pp. 80-83
Author(s):  
N. B. Prescott ◽  
T. T. Mottram ◽  
A. J. F. Webster
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Human Intervention ◽  
Proportional Increase ◽  
Automatic Milking System ◽  
Automatic Milking ◽  
Milking Machine ◽  
Conventional Systems

Voluntary automatic milking is proposed as a system whereby dairy cows can choose to be milked when they want. The aim is to develop a system that can milk and perform all the associated tasks without requiring routine human intervention. (Details of the design and operation can be found in Street et al., 1992.) The system may not be viable unless the cows visit at an appropriate frequency, high enough to generate the 0·10 to 0·15 proportional increase of milk yield from cows milked three or more times per day (e.g. Knight and Wilde, 1993) but not so high as to result in some cows over-using the system. Understanding why cows may want to visit the system is therefore important. The two most important reasons why a cow may attend are likely to be motivation to be milked and motivation to eat. Motivation to be milked may change as lactation progresses. Late lactation cows have been shown to enter a milking parlour later than high yielding cows in one experiment (Rathore, 1982) but not in another (Winter, 1993). Rathore (1982) suggested that motivation to be milked may be generated by the discomfort of a large and distended udder. Motivation to be milked may also be linked to some inherent desire of the cow to suckle and subsequently wean her calf. This may be independent of the amount of milk in her udder and decline during lactation. Therefore motivation to be milked could be generated either from the discomfort of a large and distended udder or by some psychological desire by the cow to suckle a calf generalized to a milking machine. Either way, the strength of motivation to be milked may have implications for how an automatic milking system (AMS) is designed. For example, if cows were highly motivated to be milked and attended at an appropriate frequency, there would be no requirement to provide additional incentives, such as food, to attract cows into the AMS. In addition, if cows choose to be milked more frequently than they are milked in conventional systems (generally twice per day), then this may be a method by which choices can be engineered into an animal’s environment.

scholarly journals Factors affecting reproductive performance of dairy cows in a pasture-based, automatic milking system research farm: a retrospective, single-cohort study

2015 ◽  
Vol 55 (1) ◽  
pp. 31 ◽  
Author(s):  
S. Talukder ◽  
P. Celi ◽  
K. L. Kerrisk ◽  
S. C. Garcia ◽  
N. K. Dhand
Keyword(s):  
Cohort Study ◽  
Milk Yield ◽  
Reproductive Performance ◽  
System Research ◽  
Factors Affecting ◽  
Milking Frequency ◽  
Automatic Milking System ◽  
Automatic Milking ◽  
Herd Milk ◽  
Single Cohort

A retrospective, single-cohort study was conducted to identify production and health factors associated with reproductive performance in a pasture-based, automatic milking system research farm. The calving system of this herd shifted from split calving to year-round calving gradually during the study period. Data from 365 cows with 798 lactations were analysed. Reproductive outcome variables of interest were intervals from calving to first oestrus, to first insemination, and to conception, as well as number of inseminations per conception, probability of submission for insemination by 80 days in milk, probability of conception by 100 days in milk and probability of conception at first insemination. Production factors (milk yield and its composition, milking frequency), record of periparturient disease, parity and season of calving were considered as predictor variables. The associations between predictor and outcome variables were assessed by multivariable linear regression, logistic regression and survival analyses, for quantitative, binary and time-to-event outcomes, respectively. Average milk yield and milking frequency during 100 days in milk were not significantly associated with any of the reproductive measures. The likelihood of conception by 100 days in milk decreased gradually with year of automatic milking system commissioning. Cows calved in autumn were 43% (hazard ratio 1.43, P < 0.05) more likely to conceive than cows calved in summer. Multiparous cows were more likely (P < 0.05) to be recorded for oestrus than primiparous cows. Twinning was negatively associated with the reproductive outcomes measured in the automatic milking system research herd. Milk yield and milking frequency during 100 days in milk had no effect on reproductive measures in the pasture-based, automatic milking system research herd.

scholarly journals Technical note: Variation in daily milk yield calculations for dairy cows milked in an automatic milking system

2010 ◽  
Vol 93 (3) ◽  
pp. 1069-1073 ◽  
Author(s):  
P.P. Nielsen ◽  
G. Pettersson ◽  
K.M. Svennersten-Sjaunja ◽  
L. Norell
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Technical Note ◽  
Automatic Milking System ◽  
Automatic Milking ◽  
Daily Milk Yield ◽  
Daily Milk

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

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1943
Author(s):  
Joanna Aerts ◽  
Dariusz Piwczyński ◽  
Heydar Ghiasi ◽  
Beata Sitkowska ◽  
Magdalena Kolenda ◽  
...  
Keyword(s):  
Genetic Correlation ◽  
Milk Yield ◽  
Genetic Correlations ◽  
Parameters Estimation ◽  
Random Regression ◽  
Effective Selection ◽  
Milking Frequency ◽  
Selection For ◽  
Automatic Milking System ◽  
Automatic Milking

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.

scholarly journals Effects of an automatic milking system on milk yield and quality of Mediterranean buffaloes

2018 ◽  
Vol 101 (9) ◽  
pp. 8308-8312 ◽  
Author(s):  
M. Sannino ◽  
S. Faugno ◽  
M. Crimaldi ◽  
A. Di Francia ◽  
L. Ardito ◽  
...  
Keyword(s):  
Milk Yield ◽  
Yield And Quality ◽  
Automatic Milking System ◽  
Automatic Milking
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