The Crop Science Podcast Show - Dr. Samuel Fernandes: Statistical Models in Plant Breeding | Ep. 28

In this episode of The Crop Science Podcast Show, Dr. Samuel Fernandes, assistant professor of agricultural statistics and quantitative genetics at the University of Arkansas, discusses the evolving field of plant breeding. Dr. Fernandes elaborates on the importance of quantitative genetics, machine learning, and data science integration in enhancing crop yields and stability. Listen now to gain expert knowledge and stay at the forefront of crop production advancements.

What will you learn:
Quantitative genetics

Genomic prediction

Crop stability strategies

Interdisciplinary collaboration

Statistical tools

Meet the guest:

Dr. Samuel Fernandes is an Assistant Professor of Agricultural Statistics and Quantitative Genetics at the University of Arkansas. Specializing in quantitative genetics, plant breeding, and genomics, he has significant research experience from the University of Illinois Urbana-Champaign, focusing on genomic selection and GWAS in biomass sorghum. He holds a Ph.D. and a Master's in Genetics and Plant Breeding from the Federal University of Lavras and a Bachelor's in Agronomy from the University of Brasilia. Dr. Fernandes uses statistical models and data science to enhance crop yields.

Connect with our guest on Social Media: LinkedIn