Beyond Genomic Prediction: Combining Different Types of <i>omics</i> Data Can Improve Prediction of Hybrid Performance in Maize

Anette Schrag, Matthias Westhues, Wolfgang Schipprack, +4

Genetics

Transcriptome-based distance measures for grouping of germplasm and prediction of hybrid performance in maize

Matthias Frisch, Alexander Thiemann, Junjie Fu, +3

Theoretical and Applied Genetics

BiologyTranscriptome-based Distance MeasuresPlant GeneticsFunctional GenomicsHybridization +9

Omics-based hybrid prediction in maize

Matthias Westhues, Tobias A. Schrag, Claas Heuer, +13

Theoretical and Applied Genetics

Omics-based Hybrid PredictionGeneticsOmicsGenetic VariationGenomics +2

Heterosis in early seed development: a comparative study of F1 embryo and endosperm tissues 6 days after fertilization

Stephanie Jahnke, Barbara Sarholz, Alexander Thiemann, +5

Theoretical and Applied Genetics

Early Seed DevelopmentDevelopmental BiologyFertilityGeneticsMorphogenesis +8

Correlation between parental transcriptome and field data for the characterization of heterosis in Zea mays L.

Alexander Thiemann, Junjie Fu, Tobias A. Schrag, +3

Theoretical and Applied Genetics

BiologyPlant GeneticsMolecular EcologyParental TranscriptomeZea Mays L +9

Partial least squares regression, support vector machine regression, and transcriptome-based distances for prediction of maize hybrid performance with gene expression data

Junjie Fu, K. C. Falke, Alexander Thiemann, +4

Theoretical and Applied Genetics

Functional GenomicsGeneticsStatistical GeneticsMaize Hybrid PerformanceBiostatistics +9

Prediction of hybrid performance in maize with a ridge regression model employed to DNA markers and mRNA transcription profiles

Carola Zenke‐Philippi, Alexander Thiemann, Felix Seifert, +3

BMC Genomics

Dissecting grain yield pathways and their interactions with grain dry matter content by a two-step correlation approach with maize seedling transcriptome

Junjie Fu, Alexander Thiemann, Tobias A. Schrag, +3

BMC Plant Biology

Small RNA-based prediction of hybrid performance in maize

Felix Seifert, Alexander Thiemann, Anette Schrag, +4

BMC Genomics

Transcriptome‐based prediction of hybrid performance with unbalanced data from a maize breeding programme

Carola Zenke‐Philippi, Matthias Frisch, Alexander Thiemann, +4

Plant Breeding

Maize Breeding ProgrammePlant GeneticsGeneticsTranscriptomics TechnologyAflp Markers +22