In a very near future we will have an enormous amount of data with more speed and ease than ever, and also from very different origins.
PigCHAMP Pro Europa. Spain
Born in Segovia in 1976, Maria became a licensed veterinarian in 1999 with a degree from UCM, and in 2000 she began working at the Proinserga R+D Department. She then moved on to PigCHAMP Pro Europa, S.L. in November of 2000.
Since then she has worked on company management and data analysis, developing protocols for the department such as data collection, data introduction, farm management, production data analysis and consulting, presentations and papers in both international and national congresses and conventions, writing articles for different magazines and websites, as well as sales work, customer service, and personnel training. She is currently the director of the department.
Updated CV 16-May-2012
Only the 17% of the companies use more than the 75% of the collected information and only the 27% of them think that they use it better than their competitors.
In previous articles we have talked about the importance of a good sow replacement, and we have explained methods to calculate an adequate sow replacement rate. In this article we are going to show an example of a bad replacement policy and its consequences throughout time on the productivity of the farm.
Normally, when we ask a farmer which is their average number of weaned piglets per sow they normally know this parameter, because its calculation is easy, nevertheless...
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.
The losses due to diarrhoea problems appear concentrated, basically, during the first week in the weaners stage, whilst in the farms that have not suffered diarrhoea problems, the mortality is distibuted more evenly.
We analyze a real case, and we will check out how a partial analysis of the data can give place to erroneous conclusions.
In this second article we are going to analyze the causes of these locomotive system disorders and the treatments to avoid them or to minimize their effects.