activity
20142026
most citedMarker-based estimation of heritability in immortal populations

217 citations · 225 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.PE2026

Physiology-Informed Sparse Identification of Dynamic Crop Models

Corné Verburg, Alexander Heinlein, Fred van Eeuwijk +1

Developing resilient crops requires models that accurately capture how plant growth dynamics emerge from the continuous interplay between genetic and environmental factors. While h…

stat.CO2026

A hybrid GPU/CPU implementation of the average information restricted maximum likelihood algorithm for fitting multivariate linear mixed models

Killian A. C. Melsen, Fred A. van Eeuwijk, Carel F. W. Peeters

The multivariate linear mixed model combined with restricted maximum likelihood estimation of (co)variance components and solving the mixed model equations is widely used for the a…

stat.ME2024★ 2 cited

Improving Genomic Prediction using High-dimensional Secondary Phenotypes: the Genetic Latent Factor Approach

Killian A. C. Melsen, Jonathan F. Kunst, José Crossa +4

Decreasing costs and new technologies have led to an increase in the amount of data available to plant breeding programs. High-throughput phenotyping (HTP) platforms routinely gene…

stat.ME2016★ 6 cited

Spatial Models for Field Trials

María Xosé Rodríguez-Álvarez, Martin P. Boer, Fred A. van Eeuwijk +1

An important aim of the analysis of agricultural field trials is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these correcti…

stat.AP2014★ 217 cited

Marker-based estimation of heritability in immortal populations

Willem Kruijer, Martin Boer, Marcos Malosetti +5

Heritability is a central parameter in quantitative genetics, both from an evolutionary and a breeding perspective. For plant traits heritability is traditionally estimated by comp…