3 papers
stat.ME2026
REML implementations of kernel-based genomic prediction models for genotype x environment x management interactions
Killian A. C. Melsen, Salvador Gezan, Daniel J. Tolhurst +2
High-throughput pheno-, geno-, and envirotyping allows characterization of plant genotypes and the trials they are evaluated in, producing different types of data. These different…
stat.AP2026
A latent factor approach to hyperspectral time series data for multivariate genomic prediction of grain yield in wheat
Jonathan F. Kunst, Killian A. C. Melsen, Willem Kruijer +4
High-dimensional time series phenotypic data is becoming increasingly common within plant breeding programmes. However, analysing and integrating such data for genetic analysis and…
stat.ME2025
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…