Federal, commodity-board, and institutional support for our work, as principal investigator and co-investigator.
Foundation for Food & Agriculture Research (FFAR)
Awarded to Dr. Samuel B. Fernandes
USDA-NIFA-AFRI · conventional breeding, genomics & gene editing
De Guzman, C.; Srivastava, V.; Fernandes, S. B.
USDA-NIFA-AFRI · PARTNERSHIP
Bohn, M.; Hirsch, C.; Lipka, A.; Fernandes, S. B.
USDA-NIFA-AFRI
Worthington, M.; Threlfall, R.; Fernandes, S. B.; LaFontaine, S.
Arkansas Soybean Promotion Board
Vieira, C. C.; Fernandes, S. B.
Arkansas Soybean Promotion Board
Fernandes, S. B.; Vieira, C. C.
Rapid Innovation Grant — University of Arkansas Division of Agriculture
Fernandes, S. B.; Vieira, C. C.; Elli, E.
We build free, documented tools so the breeding and genetics community can use and extend our methods.
An R package for simulating pleiotropic, linked, and epistatic phenotypes — widely used to benchmark GWAS and genomic-prediction methods.
Tools for building synthetic traits that improve multi-trait genomic prediction by leveraging the co-heritability among traits.
Methods papers from the lab ship with open code and data. Explore our repositories and reuse them in your own research.
Our methods are grounded in real breeding programs across staple and specialty crops.
A cornerstone of our applied work. With partners at the University of Arkansas, we use genomic prediction, seed-level near-infrared sensing, and machine learning to make soybean selection faster and more efficient — from flood tolerance to yield.
A staple for half the world's population. We combine conventional breeding, genomics, and gene editing to improve rice yield and grain quality under high night-time temperatures.
Long-running model systems for our quantitative-genetics research — from genome-wide association studies and high-throughput phenotyping to genotype-by-environment prediction across multi-environment trials.
We also work with specialty and other crops — including blackberry, common bean, and eucalyptus — wherever good data and strong breeding partners meet.
