Effects of milking frequency on lying down and getting up behaviour in dairy cows

Österman, Sara; Redbo, I.

doi:10.1016/s0168-1591(00)00159-3

Cited by 69 publications

(48 citation statements)

References 9 publications

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“…However, reducing milking frequency is likely to increase cow discomfort due to udder distension (Osterman and Redbo, 2000). Discomfort due to an increase in udder size may act as an impediment to comfortable movement of the rear legs.…”

Section: Introductionmentioning

confidence: 99%

Effect of milking frequency and nutritional level on aspects of the health and welfare of dairy cows

Gleeson

O’Brien

Boyle

et al. 2007

Animal

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The objective of this experiment was to investigate the effect of milking frequency and nutritional level on some aspects of animal health. Holstein-Friesian cows (n ¼ 60) were assigned post calving to a factorial arrangement of treatments; twice a day (TAD) milking on a high or low nutritional level; once a day (OAD) milking on a high or low nutritional level. Milking characteristics were recorded daily. Blood samples to evaluate changes in the composition of the blood cells, milk leakage, udder tension and locomotory ability were measured on four occasions. Teat-ends were classified for hyperkeratosis (HK) monthly post partum. TAD had longer daily milking times (P , 0.001) compared with OAD cows. There was no effect of milking frequency or nutritional level on morning milking time, time to milk letdown or peak milk flow rate (P . 0.05). High nutritional level cows had higher average flow-rates (P , 0.05) than low nutritional level cows. Neither milking frequency nor nutritional level affected HK (P . 0.05). However, HK values were positively correlated with daily milking time for OAD cows for 6 months of lactation (P , 0.05). This correlation was significant (P , 0.01) for cows milked OAD on high nutrition during the peak lactation period. OAD cows had higher levels of milk leakage compared with TAD cows during the month of May (P , 0.01). Cows on high nutrition milked OAD showed higher udder firmness scores than cows milked once or twice daily at the low nutrition level in June and July (P , 0.05). OAD cows had higher locomotion scores compared with TAD cows (P , 0.001). Locomotion and udder firmness scores were significantly correlated for OAD in June (P , 0.05). OAD cows had lower blood lymphocyte counts, numerically higher counts of neutrophil and a higher monocyte count at peak lactation compared with TAD cows suggesting that OAD cows had altered immune responses. The increase in milk leakage, higher udder firmness and locomotion scores in conjunction with changes in blood cells, suggests that OAD milking may have caused some discomfort to the cows during peak lactation. A reduction in the concentrate input to OAD cows during this period could ameliorate this problem.

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Section: Introductionmentioning

confidence: 99%

Effect of milking frequency and nutritional level on aspects of the health and welfare of dairy cows

Gleeson

O’Brien

Boyle

et al. 2007

Animal

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“…Osterman and Redbo (2001) found that cows milked three times a day lay down more quickly than those milked only twice a day.…”

Section: Lying Downmentioning

confidence: 99%

Scientific report on the effects of farming systems on dairy cow welfare and disease

2009

EFSA Journal

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“…The pattern Bstanding up^and Blying down^could not be annotated precisely enough. Hence, their point in time was deduced afterwards from the switch between Bstanding^and Blying^and their duration was set to 30s (plausible estimation from own observations and in accordance with [38]). …”

Section: Experimental Designmentioning

confidence: 99%

Support Vector machine and duration-aware conditional random field for identification of spatio-temporal activity patterns by combined indoor positioning and heart rate sensors

et al. 2016

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Tracking the spatio-temporal activity is highly relevant for domains like security, health, and quality management. Since animal welfare became a topic in politics and legislation locomotion patterns of livestock have received increasing interest. In contrast to the monitoring of pedestrians cattle activity tracking poses special challenges to both sensors and data analysis. Interesting states are not directly observable by a single sensor. In addition, sensors must be accepted by cattle and need to be robust enough to cope with a rough environment. In this article, we introduce the novel combination of heart rate and positioning sensors. Attached to neck and chest they are less interfering than accelerometers at the ankles. Exploiting the potential of such combined sensor system that records locomotion and nonspatial information from the heart rate sensor however is challenging. We introduce a novel two level method for the activity tracking focused on the duration and sequence of activity states. We combine Support Vector Machine (SVM) with Conditional Random Field (CRF) and extend Conditional Random fields by an explicit representation of duration. The SVM characterizes local activity states, whereas the CRF addresses sequences of local states to sequences incorporating spatial and non-spatial contextual knowledge. This combination provides a reliable and comprehensive identification of defined activity patterns, as well as their chronology and durations, suitable for the integration in an activity data base. This data Geoinformatica (2016) base is used to extract physiological parameters and promises insights into internal states such as fitness, well-being and stress. Interestingly we were able to demonstrate a significant correlation between resting pulse rate and the day of pregnancy.

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Effects of milking frequency on lying down and getting up behaviour in dairy cows

Cited by 69 publications

References 9 publications

Effect of milking frequency and nutritional level on aspects of the health and welfare of dairy cows

Effect of milking frequency and nutritional level on aspects of the health and welfare of dairy cows

Scientific report on the effects of farming systems on dairy cow welfare and disease

Support Vector machine and duration-aware conditional random field for identification of spatio-temporal activity patterns by combined indoor positioning and heart rate sensors

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