We launched a new series on the blog last year. Once a month, we are sharing with you a presentation given at the Allen D. Leman swine conference, on topics that the swine group found interesting, innovative or that lead to great discussions.
We can find all of the presentations selected from last year’s conference on the blog here.
Our ninth presentation is from Dr. Kim VanderWaal, our colleague at the University of Minnesota, who gives us a glimpse into a future when producers might be able to know when their farms are at risk of disease outbreaks.
This is our Friday rubric: every week a new Science Page from the Bob Morrison’s Swine Health Monitoring Project. The previous editions of the science page are available on our website.
This week, Dr. Cesar Corzo is giving us a summary of the 2017/2018 year.
Objective 1 – Disease incidence and monitoring
PRRS – Unfortunately 31% of the herds in the project broke with PRRS making it the third highest incidence in the MSHMP history. The epidemic initiated at the same time of the year following previous years’ pattern. As with previous years, we continue to see viral introduction into 1) status 4 breeding herds in low dense regions and 2) filtered sow herds reminding us that there continues to be unanswered questions from a transmission standpoint.
PEDv – The year ended at 8% (1% increase compared to the previous year) with a series of outbreaks occurring in 12 farms that had never been exposed to PEDv.
PDCoV – Even though we have not been including a graph we continue to monitor for this virus. There has been minimal activity.
SVV – Incidence of this virus remained low and did not follow the seasonal pattern seen in the previous 2 years.
Atypical CNS Cases – These viruses continue to be found in specific cases with no apparent trend.
Objective 2 – Prospective monitoring of PRRSv
PRRSv sequences continue to be collected building a library for MSHMP participant use. We have used this approach a few times while outbreak investigations have been conducted. We are currently conducting monitoring in a three-company based region detecting newly emerged viruses. On the other hand, the database is being analyzed in a way that provides epidemiological sense. We will report more on this in an upcoming report.
Objective 3 – Develop capacity to capture and analyze movement data
We have been able to generate a process to record movement data (i.e. starting and ending location,speed, trip duration) together with a visualization package in Google Earth. Although we have proved the concept we have faced technology challenges during the development phase and we are currently revisiting our approach.
Objective 4 – To expand participation of producers to allow all to be involved
Expansion continues with existing participants adding more farms. There have been other production systems that have either signed the
enrollment forms and are in the process of submitting their data or other production companies that have verbally agreed to join.