AI translated

Improving the detection of oestrus in cattle herds

Innovations Agronomiques 25 (2012), 283–297

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Detail description

Heat detection is a key stage in the breeding process on cattle farms where artificial insemination (AI) is practised. It depends on two factors: the extent to which cows display signs of oestrus, and the methods used by the farmer to detect them. Larger herd sizes and an increasingly short and subtle expression of oestrus make detection challenging. The aim of the project was to provide new insights and solutions to improve oestrus detection on dairy and suckler cattle farms. The first part investigated farmers’ practices regarding oestrus detection through on-farm surveys carried out in various livestock-rearing regions. The second part involved describing oestrus behaviour in the main French suckler breeds using video monitoring. The final part of the project involved using simulation studies to develop a diagnostic and advisory method specifically designed to improve oestrus detection in dairy and suckler herds.

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Contribution detail info

Project

Innovations agronomiques

Innovations agronomiques

Location
France
Authors
Chanvallon A., Gatien J., Salvetti P., Blanc F., Ponsart C., Agabriel J., Frappat B., Disenhaus C., Constant F., Grimard B., Seegers H.
Purpose
Monitor (metrics, conditions, progress, performance), Implement best practices

File type
document
Created on
Jan 02, 2012
Origin language
French
Official project website
Innovations agronomiques
License
CC BY