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TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|December 1, 2018
Across-years prediction of hybrid performance in maize using genomicsTobias A Schrag, Wolfgang Schipprack, Albrecht E Melchinger
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|September 5, 2012
Genetic diversity analysis of elite European maize (Zea mays L.) inbred lines using AFLP, SSR, and SNP markers reveals ascertainment bias for a subset of SNPsElisabetta Frascaroli, Tobias A Schrag, Albrecht E Melchinger
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|June 27, 2012
Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effectsFrank Technow, Christian Riedelsheimer, Tobias A Schrag, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|July 18, 2013
High-density genotyping: an overkill for QTL mapping? Lessons learned from a case study in maize and simulationsMichael Stange, H Friedrich Utz, Tobias A Schrag, et al.
Genetics|May 23, 2014
Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maizeFrank Technow, Tobias A Schrag, Wolfgang Schipprack, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|November 14, 2009
Transcriptome-based distance measures for grouping of germplasm and prediction of hybrid performance in maizeMatthias Frisch, Alexander Thiemann, Junjie Fu, et al.
BMC Plant Biology|April 14, 2010
Dissecting grain yield pathways and their interactions with grain dry matter content by a two-step correlation approach with maize seedling transcriptomeJunjie Fu, Alexander Thiemann, Tobias A Schrag, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|November 6, 2009
Correlation between parental transcriptome and field data for the characterization of heterosis in Zea mays LAlexander Thiemann, Junjie Fu, Tobias A Schrag, et al.
BMC Genomics|May 23, 2018
Small RNA-based prediction of hybrid performance in maizeFelix Seifert, Alexander Thiemann, Tobias A Schrag, et al.
Genetics|January 25, 2018
Beyond Genomic Prediction: Combining Different Types of omics Data Can Improve Prediction of Hybrid Performance in MaizeTobias A Schrag, Matthias Westhues, Wolfgang Schipprack, et al.
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