| Autor: |
Marisanna Speroni, Gloria Dellavedova, Rosanna Falconi, Andrea Summer |
| Přispěvatelé: |
I.C. De Jong, P. Koene, Marisanna Speroni, Gloria Dellavedova, Rosanna Falconi, Andrea Summer |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
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| Popis: |
Careful monitoring of cows helps to minimize pain and distress during calving, and knowledge of the time of birth is important to ensure timely and adequate uptake of colostrum.. However, direct visual observation is time consuming and continuous presence of an observer during stage two of calving can disturb cows; therefore, to predict precisely the calving time, various methods have been proposed to automatically and remotely measure physiological (body temperature; blood level of oestrone- sulphate, 17 beta oestradiol and progesterone; electrolytes in mammary secretion), physical (relaxion of pelvic ligaments; physical separation of the vulva lips) and behavioural indicators. Restlessness is one key behavioural change occurring when calving is approaching. Video cameras or accelerometers recording behaviour of cows can be integrated in systems using image analysis or locomotive activity to alert the farmer when calving is approaching; however, alerting systems require input of benchmark information about behaviours and changes in behaviours which can be predictive of the time of calving. Eight cows in a calving barn were continuously video-monitored. The recordings of the 24 h before calving were analysed to identify the routine behaviours associated with an imminent birth. In our conditions, the only behaviour that was significantly influenced by the distance from calving was frequency of lying bouts; the average number of lying bouts started to increase (P |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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