217 citations · 220 across the 5 of their papers we have counts for
5 papers
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…
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…
Misspecification in mixed-model based association analysis
Willem Kruijer
Additive genetic variance in natural populations is commonly estimated using mixed models, in which the covariance of the genetic effects is modeled by a genetic similarity matrix…
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…
Bayesian semi-parametric estimation of the long-memory parameter under FEXP-priors
Willem Kruijer, Judith Rousseau
For a Gaussian time series with long-memory behavior, we use the FEXP-model for semi-parametric estimation of the long-memory parameter . The true spectral density is assu…