Using predictive modeling tools to improve timing of seeding treatments

Researchers at BYU used SageSTEP soil moisture and temperature data to develop a tool that predicts germination in the sagebrush steppe and shows how some species are more likely to experience premature germination when sown in the fall – a step toward better rangeland seeding practices. Matt Madsen knows that getting seeds to grow in…

Read More