Martin P. Boer

The paper develops a hierarchical Bayesian model to analyze dynamic phenotypes in multi-environment trials, quantifying genotype, environment, and G x E effects on growth parameters.

The paper models genotype-specific photosynthetic trait trajectories using functional data analysis to predict biomass, finding that early growth period traits most strongly influence final dry weight.

This paper introduces MagicImpute, a genotype imputation tool for multiparental populations that improves computational efficiency and error handling, showing accuracy across real datasets with missing parents and sequencing errors.

This paper introduces a one-stage spatio-temporal P-spline method for analyzing high-throughput phenotyping data, showing it performs similarly to a two-stage approach in genomic selection.

The paper develops a complete chromosome substitution mapping panel in Arabidopsis thaliana to enable high power mapping of genome-wide epistasis.

The paper maps genotype-by-ploidy effects in Arabidopsis thaliana by analyzing haploid and diploid offspring from a late flowering cross, identifying ploidy-specific QTLs and pleiotropic effects.

The paper introduces a two-stage statistical approach to analyze spatio-temporal high-throughput phenotyping data, enabling the estimation of longitudinal genetic signals in plant growth.

The paper introduces a P-spline smoothing method for spatial analysis of plant breeding trials, finding that first differences are more practical than second differences for routine use.