Alexander Thiemann

发表

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

A. Melchinger, M. Frisch, Junjie Fu, 2009, Theoretical and Applied Genetics.

† Contributed equally

A. Melchinger, M. Frisch, Junjie Fu, 2022 .

Heterosis in plants: Manifestation in early seed development and prediction approaches to assist hybrid breeding

Stefan Scholten, A. Thiemann, S. Meyer, 2009 .

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

A. Melchinger, Stefan Scholten, Matthias Westhues, 2018, Genetics.

Omics-based hybrid prediction in maize

M. Stitt, L. Willmitzer, Z. Nikoloski, 2017, bioRxiv.

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

A. Melchinger, M. Frisch, Junjie Fu, 2012, Theoretical and Applied Genetics.

Parental Expression Variation of Small RNAs Is Negatively Correlated with Grain Yield Heterosis in a Maize Breeding Population

A. Melchinger, M. Frisch, Stefan Scholten, 2018, Front. Plant Sci..

Genome-wide meta-analysis of maize heterosis reveals the potential role of additive gene expression at pericentromeric loci

H. Pospisil, A. Melchinger, M. Frisch, 2014, BMC Plant Biology.

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

H. Piepho, Stefan Scholten, H. Geiger, 2009, Theoretical and Applied Genetics.

Small RNA-based prediction of hybrid performance in maize

A. Melchinger, M. Frisch, Stefan Scholten, 2018, BMC Genomics.

Transcriptome-Based Prediction of Heterosis and Hybrid Performance

Stefan Scholten, Alexander Thiemann, 2013 .

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

A. Melchinger, M. Frisch, Junjie Fu, 2009, Theoretical and Applied Genetics.

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

A. Melchinger, M. Frisch, Stefan Scholten, 2017 .

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

A. Melchinger, M. Frisch, Stefan Scholten, 2016, BMC Genomics.

Re-annotation of the maize oligonucleotide array

H. Pospisil, Stefan Scholten, Felix Seifert, 2012 .

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

A. Melchinger, M. Frisch, Junjie Fu, 2010, BMC Plant Biology.

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

A. Melchinger, M. Frisch, Stefan Scholten, 2016, BMC Genomics.

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

A. Melchinger, M. Frisch, Junjie Fu, 2011, Theoretical and Applied Genetics.