| Genomic and metabolic prediction of complex heterotic traits in hybrid maize C Riedelsheimer, A Czedik-Eysenberg, C Grieder, J Lisec, F Technow, ... Nature genetics 44 (2), 217-220, 2012 | 631 | 2012 |
| Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environments VS Windhausen, GN Atlin, JM Hickey, J Crossa, JL Jannink, ME Sorrells, ... G3: Genes| Genomes| Genetics 2 (11), 1427-1436, 2012 | 277 | 2012 |
| Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize F Technow, TA Schrag, W Schipprack, E Bauer, H Simianer, ... Genetics 197 (4), 1343-1355, 2014 | 226 | 2014 |
| Integrating crop growth models with whole genome prediction through approximate Bayesian computation F Technow, CD Messina, LR Totir, M Cooper PloS one 10 (6), e0130855, 2015 | 219 | 2015 |
| High-throughput non-destructive biomass determination during early plant development in maize under field conditions JM Montes, F Technow, BS Dhillon, F Mauch, AE Melchinger Field Crops Research 121 (2), 268-273, 2011 | 184 | 2011 |
| Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects F Technow, C Riedelsheimer, TA Schrag, AE Melchinger Theoretical and Applied Genetics 125, 1181-1194, 2012 | 181 | 2012 |
| Use of crop growth models with whole‐genome prediction: application to a maize multienvironment trial M Cooper, F Technow, C Messina, C Gho, LR Totir Crop Science 56 (5), 2141-2156, 2016 | 169 | 2016 |
| Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction (WGP) CD Messina, F Technow, T Tang, R Totir, C Gho, M Cooper European Journal of Agronomy 100, 151-162, 2018 | 160 | 2018 |
| Genomic prediction of northern corn leaf blight resistance in maize with combined or separated training sets for heterotic groups F Technow, A Bürger, AE Melchinger G3: Genes| Genomes| Genetics 3 (2), 197-203, 2013 | 152 | 2013 |
| Rapid and accurate identification of in vivo-induced haploid seeds based on oil content in maize AE Melchinger, W Schipprack, T Würschum, S Chen, F Technow Scientific reports 3 (1), 2129, 2013 | 138 | 2013 |
| Comparison of whole-genome prediction models for traits with contrasting genetic architecture in a diversity panel of maize inbred lines C Riedelsheimer, F Technow, AE Melchinger BMC genomics 13, 1-9, 2012 | 110 | 2012 |
| QTL mapping of stalk bending strength in a recombinant inbred line maize population H Hu, W Liu, Z Fu, L Homann, F Technow, H Wang, C Song, S Li, ... Theoretical and applied genetics 126, 2257-2266, 2013 | 70 | 2013 |
| Efficient computation of ridge‐regression best linear unbiased prediction in genomic selection in plant breeding HP Piepho, JO Ogutu, T Schulz‐Streeck, B Estaghvirou, A Gordillo, ... Crop Science 52 (3), 1093-1104, 2012 | 59 | 2012 |
| Accuracy of genomic prediction in synthetic populations depending on the number of parents, relatedness, and ancestral linkage disequilibrium P Schopp, D Müller, F Technow, AE Melchinger Genetics 205 (1), 441-454, 2017 | 54 | 2017 |
| Genetic Diversity in Jatropha curcas L. Assessed with SSR and SNP Markers JM Montes, F Technow, M Martin, K Becker Diversity 6 (3), 551-566, 2014 | 54 | 2014 |
| Modelling selection response in plant-breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions M Cooper, O Powell, KP Voss-Fels, CD Messina, C Gho, DW Podlich, ... in silico Plants 3 (1), diaa016, 2021 | 46 | 2021 |
| hypred: Simulation of genomic data in applied genetics F Technow R package, 2013 | 41* | 2013 |
| A biomechanical model for maize root lodging PF Brune, A Baumgarten, SJ McKay, F Technow, JJ Podhiny Plant and Soil 422, 397-408, 2018 | 38 | 2018 |
| Can we harness digital technologies and physiology to hasten genetic gain in US maize breeding? CH Diepenbrock, T Tang, M Jines, F Technow, S Lira, D Podlich, ... Plant physiology 188 (2), 1141-1157, 2022 | 32 | 2022 |
| R package mvngGrAd: moving grid adjustment in plant breeding field trials F Technow R package version 0.1 5, 2015 | 30 | 2015 |
