Interpretive Summary: Understanding the relationship between weather variables and intake in beef steers

By: Mustapha Yusuf, Kendall C Swanson, Lauren L Hulsman Hanna, Marc L Bauer

Dry matter intake (DMI) models for beef cattle in the Northern Great Plains may not be a good fit because of extreme weather conditions experienced in this region. The objective of this study is to include additional weather variables (temperature, dewpoint, wind speed, range of temperature, and solar radiation as well as 2-wk lag and monthly lag for each weather variable) that may influence DMI models to improve accuracy. Intake data (13,895 observations) collected from 790 beef steers using an automatic feeding system from 2011 to 2018 was utilized. It is well-established that body weight and dietary energy density influences DMI in cattle, therefore, both were included in the base model. Weather variables that contributed the most to the model were 2-wk lag of range of temperature, ambient temperature, and solar radiation. There were also two-way interactions between most of the weather variables. This study shows that weather variables interact and current DMI models should account for these interactions. Ultimately, this will improve DMI models in the Northern Great Plains.