Behaviour associated with feeding and milking of early lactation cows housed in an experimental automatic milking system

Winter, Agnes; Hillerton, J.E.

doi:10.1016/0168-1591(95)00628-1

Cited by 38 publications

(22 citation statements)

References 8 publications

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“…Although one cow entered the AMS voluntarily at the first day of milking, the rate of voluntary visits did not achieve levels of more than 90% until d 9 of AMS milking. The rate of voluntary visits dafter successful adaptation to AMS Days in milk Relative milk yield (%) milking corresponds to previous investigations in adapted cows (Winter and Hillerton, 1995;Ketelaarde Lauwere et al, 1998;Hermans et al, 2003;Harms and Wendl, 2004). However, it has to be pointed out that this level was not approached until d 9 of AMS milking.…”

Section: Discussionsupporting

confidence: 85%

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Physiological and behavioural effects of changeover from conventional to automatic milking in dairy cows with and without previous experience

Weiß¹,

Moestl²,

Bruckmaier³

2005

Vet. Med.

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ABSTRACT:The effects of the changeover from conventional parlour to an automatic milking system (AMS) on behaviour and physiological parameters in dairy cows with and without previous experience in AMS milking were investigated. Heart rate increase was higher in unexperienced cows (UC) than in experienced cows (EC) during the first AMS visit (31 ± 2 and 12 ± 2 beats per min, respectively, P < 0.05). EC entered the automatic milking stall voluntarily without any intervention by the staff. In contrast, in UC the rate of voluntary visits was 4, 26, 40, 49, 63, 72, 76, 89, 91 and 94% during the first 10 d of AMS milking, respectively. Faecal cortisol metabolites were not affected by the changeover. In UC milk ejection was disturbed during the first visits, i. e. mean milk yield at the first milking in the AMS was significantly lower as compared to that in the parlour (67 ± 7%, P < 0.05), whereas milk ejection in EC was not disturbed. The total milk yield of the first 15 milkings differed significantly in UC (87.3 ± 2.4%) and EC (108.8 ± 3.3%) as compared to previous parlour yields (P < 0.05). In conclusion, cows with previous experience to AMS milking did not need a new adaptation period in the AMS after a transient period of parlour milking. In contrast, UC do need an intensive adaptation to the AMS in order to minimise production loss. Data clearly demonstrate that an adequate adaptation is crucial for successful milk production in AMS.

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Section: Discussionsupporting

confidence: 85%

“…Therefore several approaches to attract an AMS visit have been intensively studied (Winter and Hillerton, 1995;Ketelaar-de Lauwere et al, 1998;Hermans et al, 2003;Harms and Wendl, 2004).…”

mentioning

confidence: 99%

Physiological and behavioural effects of changeover from conventional to automatic milking in dairy cows with and without previous experience

Weiß¹,

Moestl²,

Bruckmaier³

2005

Vet. Med.

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“…The cows on a farm with milking robots are typically calmer and more 'independent' -that is, herd synchronization with respect to lying, feeding and milking is reduced (Winter and Hillerton, 1995;Ketelaar de Lauwere et al, 1996). Therefore, compared with a conventional milking parlour, separation of a single sick cow from the herd under milking-robot conditions is more complex, because searching for a sick cow and walking it through the cowshed is time-consuming and disturbs the other cows' routine (Halachmi, 2009).…”

Section: Introductionmentioning

confidence: 99%

A decision-tree model to detect post-calving diseases based on rumination, activity, milk yield, BW and voluntary visits to the milking robot

Steensels

Antler

Bahr

et al. 2016

animal

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Early detection of post-calving health problems is critical for dairy operations. Separating sick cows from the herd is important, especially in robotic-milking dairy farms, where searching for a sick cow can disturb the other cows' routine. The objectives of this study were to develop and apply a behaviour-and performance-based health-detection model to post-calving cows in a roboticmilking dairy farm, with the aim of detecting sick cows based on available commercial sensors. The study was conducted in an Israeli robotic-milking dairy farm with 250 Israeli-Holstein cows. All cows were equipped with rumination-and neck-activity sensors. Milk yield, visits to the milking robot and BW were recorded in the milking robot. A decision-tree model was developed on a calibration data set (historical data of the 10 months before the study) and was validated on the new data set. The decision model generated a probability of being sick for each cow. The model was applied once a week just before the veterinarian performed the weekly routine post-calving health check. The veterinarian's diagnosis served as a binary reference for the model (healthy-sick). The overall accuracy of the model was 78%, with a specificity of 87% and a sensitivity of 69%, suggesting its practical value.

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“…Stimulating cows to voluntarily approach AMS has been examined using combinations of concentrate and/or roughage feeding with the milking compartments (e.g., Pirkelmann 1992; Devir et al 1993), which are now used commercially. However, it has been reported that movement of cows in the present systems was not fully satisfactory, with cows standing in the passageways leading to and from the milking compartments (Winter and Hillerton 1995).…”

mentioning

confidence: 63%

“…Compared with when a total mixed ration is fed 24 h per day, there would be greater incentive to enter the AMS for grain when roughage is fed separately from the grain. To stimulate cows to enter the milking compartments, one-way traffic using non-return gates between the lying and feeding areas was tried (e.g., Metz-Stefanowska et al 1992;Winter and Hillerton 1995). Thus, as also suggested in exp.…”

Section: Methodsmentioning

confidence: 99%

Influence of feeding operation and social factors on cattle locomotion in free stall barns

Uetake

Yayou²,

Okamoto³

1998

Can. J. Anim. Sci.

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, T. 1998. Influence of feeding operation and social factors on cattle locomotion in free stall barns. Can. J. Anim. Sci. 78: 421-424. The influence of feeding operation and social factors on voluntary movement of cattle was studied with a group of nine Holstein calves in free stall barns. The results of this study suggest that cattle can move more voluntarily when rations are put beyond the place that farmers want them to walk through. The results also suggest that conflicts between motivations for approaching rations and avoiding competitive feeding behaviour should be considered when efficient systems of locomotion control of cattle groups are designed, such as in AMSs.

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Behaviour associated with feeding and milking of early lactation cows housed in an experimental automatic milking system

Cited by 38 publications

References 8 publications

Physiological and behavioural effects of changeover from conventional to automatic milking in dairy cows with and without previous experience

Physiological and behavioural effects of changeover from conventional to automatic milking in dairy cows with and without previous experience

A decision-tree model to detect post-calving diseases based on rumination, activity, milk yield, BW and voluntary visits to the milking robot

Influence of feeding operation and social factors on cattle locomotion in free stall barns

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