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 | 15 | 2020 |
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 | 14 | 2019 |
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 | 3 | 2015 |
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 |