More time for you and your cows
Isolating cows for pregnancy diagnosis takes time and it's just as annoying for the cows as it is for the staff on your farm. With the milk sample pregnancy test, your cows don't have to stay in the barn as long while you wait for the vet.
It’s simple. When the animals come into the milking parlour, you can take samples without interrupting milking or causing stress. The cows can eat and rest without being disturbed. Pregnancy diagnosis does not cost extra time and that means less effort and less stress. Leaving you and your team more time for normal daily routines.
Test during your normal milking routine - without extra work
Our test is very easy to use. In can detect pregnancy from a milk sample taken for the usual general milk sample. All you have to do is tell your milk inspector which cows you want to have tested before you start milking.
In addition, self-sampling pots are also available from most Milk Recording Organisations. You can use this service to test between milk checks or when you don't do milk checks. The samples are sent to the labs where the lab staff perform the tests. They automatically provide you with the results through the usual channels.
Early detection of open cows
Research has shown that the average cost of a cow per day when not pregnant is €5. The milk pregnancy test can be useful for early detection of open/non-pregnant cows. The pregnancy test by milk sample is 99% accurate from day 28 after insemination. This enables early re-insemination. Reproductive efficiency is significantly increased, making your farm much more profitable.
But the milk pregnancy test is also a valuable tool to detect subsequent abortions that might otherwise have gone unnoticed. The pregnancy test using milk samples is easy to perform and without any risk for highly pregnant cows. An enormous cost saving and you have early certainty about the cow's pregnancy.
The study can be read at: De Vries et al, Economics of improved reproductive performance in dairy cattle (Publication AN 156, Gainesville FL, University of Florida Institute of Food and Agriculture Science; 2005
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