| Retrospective genomic analysis of sorghum adaptation to temperate-zone grain production CS Thurber, JM Ma, RH Higgins, PJ Brown Genome biology 14, 1-13, 2013 | 122 | 2013 |
| Multiparental mapping of plant height and flowering time QTL in partially isogenic sorghum families RH Higgins, CS Thurber, I Assaranurak, PJ Brown G3: Genes, Genomes, Genetics 4 (9), 1593-1602, 2014 | 87 | 2014 |
| Machine learning approach for prescriptive plant breeding KA Parmley, RH Higgins, B Ganapathysubramanian, S Sarkar, AK Singh Scientific reports 9 (1), 17132, 2019 | 83 | 2019 |
| Comparative prediction accuracy of hyperspectral bands for different soybean crop variables: From leaf area to seed composition MV Chiozza, KA Parmley, RH Higgins, AK Singh, FE Miguez Field Crops Research 271, 108260, 2021 | 27 | 2021 |
| Deploying Fourier coefficients to unravel soybean canopy diversity TZ Jubery, J Shook, K Parmley, J Zhang, HS Naik, R Higgins, S Sarkar, ... Frontiers in plant science 7, 2066, 2017 | 18 | 2017 |
| Machine learning approach for prescriptive plant breeding. Sci Rep 9: 17132 KA Parmley, RH Higgins, B Ganapathysubramanian, S Sarkar, AK Singh | 6 | 2019 |
| Multiparental mapping of plant height and flowering time QTL in partially isogenic sorghum families. G3 Genes Genomes Genet 4: 1593–1602 RH Higgins, CS Thurber, I Assaranurak, PJ Brown | 5 | 2014 |
| Genetic dissection of sorghum height and maturity variation using sorghum converted lines and their exotic progenitors R Higgins University of Illinois at Urbana-Champaign, 2014 | 4 | 2014 |
| Assessment of the G x E x M Interaction Effect on the Soybean LAI-Yield Relationship Using Apsim Model: Implications for High-Throughput Phenotyping M Chiozza, K Parmley, RH Higgins, AK Singh, F Miguez ASA, CSSA, SSSA International Annual Meeting, 2021 | 1 | 2021 |
| Machine Learning Approach for Prescriptive Plant Breeding A Singh, K Parmley, R Higgins, B Ganapathysubramanian, S Sarkar | | 2019 |
| Identification and QTL mapping of physiological drivers of soybean yield under contrasting management systems using high-throughput phenotyping RH Higgins Iowa State University, 2018 | | 2018 |
| Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity A Singh, T Jubery, J Shook, K Parmley, J Zhang, H Naik, ... | | 2017 |
| Multiparental mapping of plant height and flowering time QTL in partially isogenic RH Higgins, CS Thurber, I Assaranurak G3 (Bethesda, Md.), 4 (9), 2014 | | 2014 |
| Retrospective genomic analysis of sorghum adaptation to temperate-zone grain production PJ Brown, RH Higgins, JM Ma, CS Thurber | | 2013 |
| Potato Leafhopper Control in Glabrous Soybean Isolines, 1980 KR Ostlie, RH Higgins, LP Pedigo Insecticide and Acaricide Tests 8 (1), 218-218, 1983 | | 1983 |
| Potato Leafhopper Control in Glabrous and Pubescent Soybean Isolines, 1981 KR Ostlie, R Higgins, L Pedigo Insecticide and Acaricide Tests 7 (1), 189-190, 1982 | | 1982 |
| Machine Learning Approach for prescriptive plant Breeding A Kyle, RH Higgins, B Ganapathysubramanian, S Sarkar, AK Singh | | |
| How Well Do Hyperspectral Images Predict Soybean LAI, Biomass, Yield and Seed Quality/Composition? M Chiozza, K Parmley, RH Higgins, AK Singh, F Miguez ASA, CSSA and SSSA International Annual Meetings (2020)| VIRTUAL, 0 | | |
