Using Artificial Intelligence to Improve and Accelerate the Breeding Process for Root Structure Architecture in Alfalfa

Authors

Brandon J. Weihs, University of Nebraska at OmahaFollow
Jo Heuschele, University of Minnesota
Zhanyou Xu, University of Minnesota

Document Type

Article

Publication Date

8-2024

Publication Title

Forage Focus

Abstract

Yields for alfalfa, the world’s most popular forage crop, have declined over the last ~50 years, and breeders, farmers, and other stakeholders are interested in breaking the yield bottleneck in innovative ways, such as with root system improvements and state-of-the-art methods including artificial intelligence (AI).

Comments

Weihs, B.J., Hueschele, D.J., and Xu, Z. (2024). Using Artificial Intelligence to Improve and Accelerate the Breeding Process for Root Structure Architecture in Alfalfa. Forage Focus, August, 2024. (Invited Paper). https://www.ars.usda.gov/

Recommended Citation

Weihs, Brandon J.; Heuschele, Jo; and Xu, Zhanyou, "Using Artificial Intelligence to Improve and Accelerate the Breeding Process for Root Structure Architecture in Alfalfa" (2024). Geography and Geology Faculty Publications. 111.
https://digitalcommons.unomaha.edu/geoggeolfacpub/111