This first part deals with backward and impossible data, i.e. the sows that are no longer in the farm but still appear both in the management softwatre and the 100% delivery rates in gilts.
M.A. de Andrés
PigCHAMP Pro Europa. Spain
Born in Segovia in 1969, Miguel Angel earned a degree in Agronomy with a specialization in animal husbandry from the Polytechnic University of Madrid.
After finishing his studies, he worked for 10 years in the production department of the genetics company, PIC España S.A., carrying out various responsibilities such as consulting farms that used PIC España genetics, and 5 years managing the selection and multiplication nucleus of 5200 sows that PIC España has in the province of Soria.
After leaving PIC España, he began working for PigCHAMP Pro Europa S. L., a multidisciplinary company that services farmers, laboratories and business related with animal production. Within PigChamp Pro Europa, his main responsibility is in the department of management and data analysis, although he also helps in other departments such as the environmental, project testing and veterinary consulting departments.
Updated CV 16-May-2012
The number of sows that suffer some kind of leg injury is much higher than is apparent, and even more so in second farrowings.
Apparently, lameness problems amount to just 5% of the causes for sending pigs to slaughter...
The month of the sow's birth affects the number of piglets born alive in the first farrowing.
We can predict a sow's production based on the number of piglets born alive at first farrowing. In addition, the best sows' performance will outdo the others' continuously.
We present the first results obtained by cross-matching data from different sources: production / reproduction data with data from feeding machines.
A new revolution is about to reach the swine sector, we are talking about new information management.