Clinical case: Increase of returns: Management or PRRS?
Returns increase in a PRRS-positive farm in the middle of a census increase plus a change of management in the batch farrowing system, from 3 weeks to 1.
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What makes us stand out is the quality and independence of our contents. Find out about the authors who make it possible. Our goal is to generate a virtual community of advanced users in the sector.
Carlos Piñeiro is a DVM from the Complutense University of Madrid (1987). He is a Specialist in the Evaluation of the Environmental Impact from the Polytechnic University of Madrid (1998), he holds a Diploma in Advanced Studies in Animal Production from the Polytechnic University of Madrid (2001), and a Graduate Degree from the European College of Porcine Health Management (2009).
He worked in Sánchez Romero Carvajal as a Representative of superior quality products (1989), and since 1991 he works in Proinserga. S.A, initially as an regional veterinarian (some 10,000 sows in 30 farms) developing different responsibilities in Nutrition and Feed Formulation, Management and Data Analysis, and Artificial Insemination Centres before taking charge of the R&D Department created in 1996 and developing it until year 2000.
It was then when ADA - Animal Data Analytics (PigCHAMP Pro Europa) was created as a company linked to the group in which he participated as a founding partner.
As of 2007, ADA - Animal Data Analytics (PigCHAMP Pro Europa) turns into a completely independent company, and Carlos is his Manager and main stockholder since that moment. Its current lines of business are the investigation, through an agreement, for companies, acting as a CRO (contract research organization); the development of national and international R&D projects (CDTI, EUREKA, IBEROEKA, EUROSTARS, LIFE+ and EU Framework Programs); the consultancy in data management and use of information in the food and agriculture sector companies; and the veterinarian services for the support of production and health.
Updated CV 24-Dec-2012
Returns increase in a PRRS-positive farm in the middle of a census increase plus a change of management in the batch farrowing system, from 3 weeks to 1.
One of the main tools to encourage the installation of extra lighting in the mating area is the data analysis, and more specifically the weaning-to-service interval.
The article explains how to manage nurse sows in 3-week batch farrowing systems with a practical example.
When productivity decreases, but productive efficiency is maintained...
Traditional culling policies have a threshold number of farrowings after which sows are culled —after weaning. But, what would happen if this policy were to be modified to actually consider the performance of each sow?
The owner contacted us because he has seen a reduction in performance in recent months, although no decline has been identified in any particular parameter. He says that, overall, “the sows are doing worse".
Minimizing sow losses in the initial cycles has three positive effects for the economic efficiency of the farm
Sows with more than 16 piglets Total Born (TB) per litter have twice as many stillbirths (SB) as those with 13 to 16 TB litters, and three times more SB than sows farrowing litters smaller than 13 TB.
This article discusses 4-week batch farrowing (4WBF), very common in small farms (250 sows) in some other countries, including France. Analysis will be based on a comparison with 3-week batch farrowing (3WBF).
This second part deals with the problems caused by not recording properly the cause of abortions, sows and piglets deaths, nurse sows and hormonal treatments.
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.
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.
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