M.A. de Andrés

M.A. de Andrés
113rosiachoque174925167ggiovnaljubomirmaric19Eder Paez

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

Articles

Sow losses/cullings: a Tower of Babel (I)

20-Mar-2013 (5 years 9 months 27 days ago)

The registration of the sow losses/cullings in the management computer programs is normally something easy, but it is not always given the importance that it really has so, sometimes, the registration is incomplete, with wrong dates and without writing down the cause of the loss/culling. Nevertheless, its correct registration and its later analysis can give us very useful information for the correct technical-financial management of the farm.

Sow losses/cullings: a Tower of Babel (I)

Seasonal effects (temperature and light): analysis and minimization of their consequences

29-Oct-2012 (6 years 2 months 18 days ago)

It is a widely documented fact that pig production has seasonal variations mainly focused on a descent in the reproductive efficiency in the gestation phase (difficulty in the coming into oestrus, a higher number of reproductive failures) during the summer and autumn months.

Seasonal effects: analysis and minimization