A.H. Ipema

Animal Welfare Institute

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P.H. Hogewerf

Wageningen University & Research

R.M. de Mol

Wageningen University & Research

C. Lokhorst

Van Hall Larenstein University of Applied Sciences

J. Stefanowska

Wageningen University & Research

J.H.M. Metz

Wageningen University & Research

C.C. Ketelaar-de Lauwere

Graduate School Experimental Plant Sciences

C.J.A.M. de Koning

Schothorst Feed Research

D. Goense

Agroécologie

H.J. Schuiling

Wageningen University & Research

V. Tančin

Slovak University of Agriculture in Nitra

Cooperative Institutions

Wageningen University & Research

Graduate School Experimental Plant Sciences

Institute of Agricultural Engineering

Animal Welfare Institute

Utrecht University

Animal Production Research Centre

Schothorst Feed Research

National Agricultural and Food Centre

Ministry of Agriculture, Nature and Food Quality

Rakuno Gakuen University

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Teat cleaning with pulsating liquid streams: cow behavior and milk flow rate

P.H. Hogewerf J.V. van den Berg Y. de Haas A.H. Ipema J. Stefanowska

Liquid flow

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Series tests and practical experience with automatic concentrate dispensers.

A.H. Ipema

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Effect of access to a field on cows' visiting pattern to the automatic milking system and other behaviour

J. Stefanowska A.H. Ipema

Milking

Automatic milking

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Wireless Access to Sensor Populations: Potential applications for herd health control , eldery care and road transport

C. Lokhorst O.N.M. van Eijk Enrico Frumento Fulvio Glisenti D. Goense

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Young stock rearing using automatically recorded data

A.H. Ipema R.M. de Mol P.H. Hogewerf

The subject ‘young stock rearing’ is important for future dairy farming. So far there has been too little attention for young stock rearing. Proper care by monitoring health and growth of the young animals will lengthen life expectancy and increase milk production of the adult dairy cow. Due to the increasing farm sizes it becomes harder for the farmer to pay sufficient attention to all individual animals. Facilities like automatic milk feeders and water drinkers combined with weighing systems are used to gather information about the status of all individuals. The information consists of daily milk and water intake, body weight and other behavioural data. Models are developed to detect deviations in the normal pattern of this information. Only these anomalies are reported with instructions for standardized actions to be undertaken, the standard operating procedures. This paper provides the background for the alerts for health problems and for lagging growth in young stock till the age of 4 months

Lagging

Stock (firearms)

Dairy Farming

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Effects of milking machine parameters on the mean milk flow rate in a robotic milking system

A.H. Ipema P.H. Hogewerf

In this experiment the focus was on the machine on time needed for the milk removal process. This experiment aimed to examine the effect of four milking machine treatments on the mean milk flow rate. In the four test situations the milking machine settings were: A) milking- and pulsation vacuum 42 kPa; pulsation ratio 65/35; pulsation rate 58 cycles per minute; detachment level 200 g per minute; B) Settings as in A except the detachment level was increased from 200 to 350 g per minute; C. Settings as in B except the vacuum level was increased from 42 to 45 kPa; D. Settings as in C except the pulsation ratio varied between 55/45 and 70/30 depending on the actual milk flow rate. Treatments A, B, C and D were applied during three 16-d periods. In a 16-d period each treatment was used for 4 consecutive days. The order of the test situations differed in each 16-d period. The experiment was carried out in a two-box robotic milking system (Prolion). Cows were accepted for milking 6 hours after the previous milking visit. When intervals became longer than 12 hours cows were fetched. During each milking visit 0.5 till 2.0 kg of concentrates were fed. Data from 54 cows that were on the system during the three test periods were analyzed. The mean milk flow rates differed significantly (p < 0.05) between all treatments and were 1.65, 1.81, 1.90 and 1.84 kg per minute for respectively the A, B, C and D treatment. With higher milk yields (range 3-18 kg) and longer attachment durations (range 45-120 s) per milking milk flow rates increased significantly. Reactions on the treatments of individual cows sometimes showed clear deviations from the general trends.

Milking

10.3920/9789086865253_101

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Precision Livestock Farming for Transparent Livestock Production Chains

Guy André D. Goense A.H. Ipema R.M. de Mol C.G. van Reenen

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An internet application for oestrus and mastitis detection in dairy cows

R.M. de Mol A.H. Ipema R.M.G. Roelofs M.A.J.M. Lamers K. Odinga

A detection model for oestrus and mastitis, based on sensor measurements of yield, temperature, electrical conductivity of milk and cow's activity, was implemented as an internet application. The output of the detection model, oestrus and mastitis alerts, is presented to the farmer on a passwordprotected internet page. The application was tested on two practical dairy farms. A lot of start-up problems occurred, making a quantitative evaluation difficult. Mastitis detection results were good: almost all alerts were true positive. Most oestrus cases were also detected, but false positive alerts were a problem. Sensor problems occurred frequently and influenced the results. Both farmers agreed that the internet application showed a surplus value. The internet detection application is an example of the added value of data exchange in the dairy chain.

Value (mathematics)

10.3920/9789086866045_033

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Quarter milk flow patterns in dairy cows: factors involved and repeatability

Veterinární Medicína (2003)

V. Tančin A.H. Ipema D. Peškovičová P.H. Hogeverf J. Mačuhová

The objectives of our study were to describe the variation of quarter milk flow parameters and to determine the factors that affect these parameters the most. Additionally, repeatabilities (r2) of the quarter milk flow traits (duration of milk flow, time to reach peak flow, peak flow rate, and duration of milk flow in single phases - increase, plateau, decline and blind phase) were calculated. Repeatability of total milk yield and milk yield in single phases was calculated, too. The data from 39 Holstein cows, in their first to third lactation and free of clinical mastitis, were used for statistical analysis. A total of 1 656 curves of quarter milk flows were recorded during six consecutive days. At the last evening and morning milking samples of milk from each quarter were collected for determination of somatic cell count (SCC). Peak flow rate, quarter position, time of milking (morning and evening) and SCC significantly affected most of the measured traits. The highest r2 were for total milk yield and yield of plateau phase 0.53 and 0.50, resp. The lowest r2 were calculated for the duration of increase phase, and milk yield of the increase and blind phase 0.26, 0.12 and 0.21, resp. Peak flow rate, SCC, time of milking and front-rear position influenced the values of r2 of traits to various extent.

Milking

Repeatability

Somatic Cell Count

10.17221/5780-vetmed

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Quarter-controlled milking in dairy cows

Computers and Electronics in Agriculture (2007)

A.H. Ipema P.H. Hogewerf

Milking

Quarter (Canadian coin)

Automatic milking

Udder

10.1016/j.compag.2007.09.007

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Citations (15)