C. Dillmann

Effects of maize development and phenology on the field infestation dynamics of the European Corn Borer

The paper examines how maize development and phenology affect European Corn Borer infestation dynamics through a two-year field experiment with 23 inbred lines.

Pervasive GxE interactions shape adaptive trajectories and the exploration of the phenotypic space in artificial selection experiments

This study quantifies the role of genetic variance and GxE interactions in shaping phenotypic responses to selection in maize flowering time experiments.

Evolution of enzyme levels in metabolic pathways: A theoretical approach. Part 2

The paper extends a previous model to analyze how enzyme concentrations evolve under selection for increased flux, considering co-regulation groups and resource competition.

Evolution of enzyme levels in metabolic pathways: A theoretical approach

The paper develops a theoretical model to study how enzyme concentrations evolve under selective pressure on metabolic flux, considering cellular constraints and dependencies between enzymes.

A new hypothesis-testing model for phyllochron based on a stochastic process - application to analysis of genetic and environment effects in maize

The paper introduces a stochastic process model for phyllochron analysis in maize, showing differences are mainly due to ancestral lines, years, and leaf ranks rather than selection populations.

Interplay between extreme drift and selectionintensities favors the fixation of beneficial mutations in selfing maize populations

The paper investigates how extreme drift and selection intensities affect mutation fixation in selfing maize populations, finding that beneficial mutations are enriched and small-effect mutations are facilitated by environmental stochasticity and selection variation.

A semi-automated design for high-throughput Lepidoptera larvae feeding bioassays

This paper introduces a high-throughput method to assess plant resistance and chemical deterrence using 3D-printed cages and image analysis to monitor Lepidoptera larvae feeding behavior.

Transcriptomic response to divergent selection for flowering time in maize reveals convergence and key players of the underlying gene regulatory network

The paper studies the transcriptomic response to flowering time selection in maize, identifying convergent gene expression patterns and key regulatory genes.