Plant Science and Technology

Parson talks at clear podium; Dean stands behind listening.

Oct. 13, 2026

CAFNR celebrates state-of-the-art facilities to benefit Missouri agriculture

The College of Agriculture, Food and Natural Resources at the University of Missouri hosted a day of celebratory ribbon cuttings on Friday, Oct. 9, for four facilities for research, teaching and outreach.

Oct. 7, 2026

At Mizzou, a scientist is rewriting the rules for how researchers study plant stress

Rather than isolating individual factors one at a time, Ron Mittler studies how organisms respond to multiple stressors simultaneously, paving the way for better crops and potentially better medical treatments.

Dongho Lee.

Sep. 30, 2026

Dongho Lee

Educational Background…

Sep. 30, 2026

Sixth Annual CAFNR Research Symposium set for Oct. 7

Discovery and innovation will be on display as students, faculty and staff showcase their research through lightning talks and presentations.

Blake Ford and Owen Reynolds.

Sep. 28, 2026

CAFNR students plan, execute Homecoming events in top student leadership roles 

Blake Ford and Owen Reynolds are serving as 2026 Homecoming Tri-Directors.

Cailey Blackmer and Grace Siegel.

Sep. 21, 2026

Plant sciences graduates discuss post-college job search process 

Cailey Blackmer and Grace Siegel discuss finding their passions in college and starting their careers after graduation.

Shelby Jenkins

Sep. 15, 2026

Q&A with Shelby Jenkins

Shelby is an MU Extension Field Specialist in livestock.

Sep. 14, 2026

Candance Edwards

Sep. 14, 2026

Monica Andrews

Bernardo Candido.

Sep. 14, 2026

Bernardo Cândido

Cândido’s research brings together remote sensing, artificial intelligence, and soil science to advance precision agriculture and sustainable land management. The work examines how agricultural landscapes change, with a particular focus on pasture biomass, soil erosion, and the use of environmental data to support practical decisions by farmers and land managers. A major focus of Cândido’s work is precision pasture management. He integrates satellite imagery, ground-based sensors, and machine learning to estimate pasture biomass and understand changes in forage availability. Through PastureCast, Cândido and his colleagues combine these observations with information about weather, soils, and management practices to help…