As we start the New Year we are excited about the changes that have been made to the Swine Management Services, LLC (SMS) database used for farm benchmarking. The last few months SMS has been updating the format for the Farm Benchmarking report. To get the additional parity information that was needed going forward, the database was cleaned out and reloaded with more detailed data from the cooperating farms. The rebuilt database is now at 630 farms that have a female inventory of 1,193,547 sows. Farms are from the United States, Canada, and China. The more detailed information contained in the Farm Benchmarking database allows us to analyze and share even more production data with Weekly Preview readers.

Readers will note that Table 1 SMS Farm Benchmarking presents summary data in a new layout. The breakdown is now 90-100th percentile (top 10%), 70-90th percentile (next 20%), 50-70th percentile (next 20%), 30-50th percentile (next 20%), 0-30th percentile (bottom 30% of farm) and an “All” average for the last 52 weeks. Readers can also see a 13-week, 26-week, and 12- quarter average for all farms. The report shows how many farms and sows make up each percentile. Along with the SMS Production Index, which is made up of 11 production numbers, there is a line that shows the Potential for Improvement in Pigs Weaned / Mated Female / Year. The typical production numbers of Pigs Weaned / Mated Female /Year, Total Born / Mated Female / Year, Piglet Survival Percentage, Litters / Mated Female / Year, Wean to First Service Interval days, Farrowing Rate Percentage, and Female Death Loss Percentage are shown.

We have added three new production numbers to be used to compare farms: Gilt Farrowing Rate Percentage, Total Pigs Born / Female Farrowed (P1 + P2 + P3), and Retention Percentage (100 – P1 – P2 – P3 cull and death loss). These numbers we see as drivers to improving pigs weaned / mated female / year. This chart will be updated every month in the articles we write.

More detailed data being collected for each farm means that we can create more charts and tables. The production data will be presented in a figure that combines a chart showing the trend lines and a data table that was used to create the chart.