Manfred Mayer

The paper develops a maize MAGIC population to dissect grain yield and proxy traits under stress, identifying QTL and improving genomic prediction models.

The paper identifies a structural variation in lhcb6 in maize landraces that affects photosystem II maximum quantum efficiency through differential accumulation of LHCII antenna components.

The paper identifies a rare allele of ndhm1 in maize that improves cold tolerance and photosynthetic efficiency through NDH-mediated cyclic electron transport.

The paper compares genomic prediction models for maize traits, finding that selecting top SNP interactions improves prediction accuracy compared to additive models.

This paper compares bivariate genomic prediction models for plant traits across two growing seasons, finding that models incorporating epistasis improve prediction accuracy.

The paper identifies novel haplotypes in maize landraces associated with quantitative traits and demonstrates their superior performance compared to breeding lines.

The paper evaluates BEAGLE versions for imputation quality in crop and livestock data, finding that parameter tuning significantly improves imputation accuracy.

HaploBlocker identifies subgroup-specific haplotype blocks and constructs libraries to represent genetic variability with fewer parameters than traditional methods.