The University of Wisconsin-Madison Division of Extension Dairy Program strengthens the competitiveness of the Wisconsin dairy industry through statewide leadership in education and research.
Dairy News
Calving Management Practices and Neonate Care in Dairy Cattle – August 2025
The training of the farm personnel has positive impacts on animal welfare and performance, thus increasing the overall farm profitability.
Practicas de manejo del parto y cuidado del neonato en el ganado lechero – Agosto 2025
El entrenamiento del personal de la granja genera impactos positivos en el bienestar y el rendimiento del animal, aumentando así la rentabilidad de la granja.
“Save a Calf, Save a Cow” workshop series to be held in September
“Save A Calf, Save A Cow” is a workshop series for dairy and beef producers, and dairy workers.
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Free Educational Dairy Webinars
Join us each month for Badger Dairy Insight, a research-based dairy webinars to improve animal welfare, breeding and genetic selection, automation and modernization, and nutritional decisions.
To help Wisconsin Spanish dairy workers and the Spanish dairy community to get the most current and up-to-date research information, the University of Wisconsin-Madison, Division of Extension has developed the Dairy Spanish Webinar El “Break” Info-Lechero (en español).
Latest Dairy Articles
▶️ Watch: Hay There! Let’s Talk Feed Centers and Inventory
Managing feed inventory and waste is a critical nutrition practice. Hear from dairy farmers Grant Grinstead, Jake Peissig and Ryan Shultz talk about how their farms built a feed center to reduce waste and save them money. The UW-Madison Extension Dairy Team will also give a walkthrough of a free tool you can use to calculate forages needs and track inventory.
Body Condition Score in Dairy Cattle
Research shows that maintaining target BCS levels at specific stages of lactation supports optimal energy balance, which improves milk yield, reproductive performance, and disease resistance.
How Can You Improve Your Dairy’s Data?
This article explains the difference between dirty and clean data, pillars of quality data, and practical tips to prevent entering dirty data.
