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Beef Quality Assurance
South Dakota producers have the option to receive beef quality assurance (BQA) certification.
Swine
Providing pork producers with the research-based information and resources they need to keep South Dakota swine herds healthy and profitable is a focus of our team.
SDSU Swine Day
SDSU Swine Day will be held on November 4, 2025, from 9:00 a.m. - 4:00 p.m. at Dana J. Dykhouse Stadium - Club 71 (1396 Stadium Rd., Brookings, SD 57006).
Mycotoxins: Should you be concerned?
Environmental stress caused by the weather or damaged crops increases the potential for mold and mycotoxin development. Learn some answers to common questions about mycotoxins and how to manage them.
Crossbreeding Systems – Maximizing Heterosis & Profit
By using planned breed combinations, producers can improve traits like growth, reproduction, and overall herd performance, helping make better financial and management decisions.
Fall Pasture Report: Considerations for Dormant Season Grazing
Recent fall rains across the region continue to improve soil moisture conditions in preparation for the dormant season. Unlike in years past, a fall green up has been in full swing for much of the region.
Tri-State Beef Technology Series @ Ithaca, NE
SDSU Extension, ISU Extension, and UNL Extension will host a beef technology series on November 14 from 10:00 a.m. to 2:30 p.m. CST at the Eastern Nebraska Research Extension and Education Center (1071 Co Rd G, Ithaca, NE 68033).
Register now for 2025 Swine Day with SDSU Extension
October 17, 2025
South Dakota State University Extension invites swine producers and industry members to attend SDSU Swine Day on Nov. 4, 2025, in Brookings.
South Dakota Agricultural Land Market Trends
The 2025 South Dakota State University (SDSU) Extension Farm Real Estate Market Survey is the 35th annual survey of agricultural land values and cash rental rates by land use and quality in different regions of South Dakota.
Optical Dust Meters May Misestimate Dust Concentrations in Animal Barns
Fact sheet aiming to address the measurement bias issue associated with optical dust meters.