| Marker density and read depth for genotyping populations using genotyping-by-sequencing TM Beissinger, CN Hirsch, RS Sekhon, JM Foerster, JM Johnson, ... Genetics 193 (4), 1073-1081, 2013 | 242 | 2013 |
| The interplay of demography and selection during maize domestication and expansion L Wang, TM Beissinger, A Lorant, C Ross-Ibarra, J Ross-Ibarra, ... Genome biology 18, 1-13, 2017 | 202 | 2017 |
| Comparing different statistical models and multiple testing corrections for association mapping in soybean and maize AS Kaler, JD Gillman, T Beissinger, LC Purcell Frontiers in plant science 10, 1794, 2020 | 196 | 2020 |
| Recent demography drives changes in linked selection across the maize genome TM Beissinger, L Wang, K Crosby, A Durvasula, MB Hufford, ... Nature plants 2 (7), 1-7, 2016 | 127 | 2016 |
| Defining window-boundaries for genomic analyses using smoothing spline techniques TM Beissinger, GJM Rosa, SM Kaeppler, D Gianola, N de Leon Genetics Selection Evolution 47, 1-9, 2015 | 103 | 2015 |
| The Evolutionary History of Wild, Domesticated, and Feral Brassica oleracea (Brassicaceae) ME Mabry, SD Turner-Hissong, EY Gallagher, AC McAlvay, H An, ... Molecular Biology and Evolution 38 (10), 4419-4434, 2021 | 94 | 2021 |
| Integrated genome-scale analysis identifies novel genes and networks underlying senescence in maize RS Sekhon, C Saski, R Kumar, BS Flinn, F Luo, TM Beissinger, ... The Plant Cell 31 (9), 1968-1989, 2019 | 82 | 2019 |
| A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear number TM Beissinger, CN Hirsch, B Vaillancourt, S Deshpande, K Barry, ... Genetics 196 (3), 829-840, 2014 | 70 | 2014 |
| Evolutionary insights into plant breeding SD Turner-Hissong, ME Mabry, TM Beissinger, J Ross-Ibarra, JC Pires Current Opinion in Plant Biology 54, 93-100, 2020 | 51 | 2020 |
| Genomic prediction models for traits differing in heritability for soybean, rice, and maize AS Kaler, LC Purcell, T Beissinger, JD Gillman BMC plant biology 22 (1), 87, 2022 | 47 | 2022 |
| Insights into the effects of long-term artificial selection on seed size in maize CN Hirsch, SA Flint-Garcia, TM Beissinger, SR Eichten, S Deshpande, ... Genetics 198 (1), 409-421, 2014 | 46 | 2014 |
| Prediction of maize phenotypic traits with genomic and environmental predictors using gradient boosting frameworks CC Westhues, GS Mahone, S da Silva, P Thorwarth, M Schmidt, ... Frontiers in plant science 12, 699589, 2021 | 36 | 2021 |
| Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs A Gyawali, V Shrestha, KE Guill, S Flint-Garcia, TM Beissinger BMC plant biology 19, 1-15, 2019 | 36 | 2019 |
| Shared genomic regions between derivatives of a large segregating population of maize identified using bulked segregant analysis sequencing and traditional linkage analysis NJ Haase, T Beissinger, CN Hirsch, B Vaillancourt, S Deshpande, K Barry, ... G3: Genes, Genomes, Genetics 5 (8), 1593-1602, 2015 | 35 | 2015 |
| Yield prediction through integration of genetic, environment, and management data through deep learning DR Kick, JG Wallace, JC Schnable, JM Kolkman, B Alaca, TM Beissinger, ... G3: Genes, Genomes, Genetics 13 (4), jkad006, 2023 | 28 | 2023 |
| Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.) JM Foerster, T Beissinger, N de Leon, S Kaeppler Theoretical and Applied Genetics 128, 529-538, 2015 | 26 | 2015 |
| Parallel Markov chain Monte Carlo-bridging the gap to high-performance Bayesian computation in animal breeding and genetics XL Wu, C Sun, TM Beissinger, GJM Rosa, KA Weigel, NL Gatti, D Gianola Genetics Selection Evolution 44, 1-18, 2012 | 25 | 2012 |
| A simple test identifies selection on complex traits T Beissinger, J Kruppa, D Cavero, NT Ha, M Erbe, H Simianer Genetics 209 (1), 321-333, 2018 | 24* | 2018 |
| A primer on high-throughput computing for genomic selection XL Wu, TM Beissinger, S Bauck, B Woodward, GJM Rosa, KA Weigel, ... Frontiers in Genetics 2, 4, 2011 | 21 | 2011 |
| Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickens TM Beissinger, M Gholami, M Erbe, S Weigend, A Weigend, N De Leon, ... Heredity 116 (2), 158-166, 2016 | 19 | 2016 |
Natalia de LeonUniversity of Wisconsin, MadisonVerified email at wisc.edu