Follow
Emmanuel Adeyemo
Title
Cited by
Cited by
Year
Optimizing training population size and content to improve prediction accuracy of FHB-related traits in wheat
E Adeyemo, P Bajgain, E Conley, AH Sallam, JA Anderson
Agronomy 10 (4), 543, 2020
152020
Predicting genetic variance from genomewide marker effects estimated from a diverse panel of maize inbreds
E Adeyemo, R Bernardo
Crop Science 59 (2), 583-590, 2019
142019
Evaluation of genotype x year interaction in extra-early maturing maize hybrids in a typical Southern Guinea Savannah Ecology
FA Bankole, G Olaoye, E Adeyemo
Agrosearch 15 (2), 73-92, 2015
32015
Combining datasets to routinely predict fusarium head blight resistance in a wheat breeding program
E Adeyemo, E Conley, R Bernardo, P Bajgain, JA Anderson
Crop Science 63 (3), 1197-1208, 2023
2023
Combating Fusarium Head Blight Resistance in Wheat with Genomic Selection and Computer Vision Technology
ED Adeyemo
University of Minnesota, 2022
2022
Use of marker assisted selection for improvement of cereal crops
JA Anderson, P Bajgain, E Adeyemo, E Conley
Cereals & Grains 19, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–6