Willem Kruijer

Willem Kruijer is a Researcher at Biometris (Biology, Mathematics and Statistics) within Wageningen University & Research. His work focuses on genomics, plant genetics, and the application of statistical and computational methods to address challenges in agriculture and plant breeding. Key areas of research include genomic prediction, GxE interactions, drought tolerance, and the genetic architecture of plant stress responses.

• Education: Not explicitly mentioned in the provided texts.
• Affiliations: Biometris, Wageningen University & Research.

Research Interests: Kruijer's research integrates advanced statistical models with genomic data to improve plant breeding efficiency. He explores topics such as bivariate GWA mapping for glucosinolate regulation, root mycobiota's role in rice drought tolerance, and machine learning applications for predicting plant traits under environmental stress. His work often involves collaboration with international teams to analyze large-scale genomic and phenotypic datasets.

Publications Highlight: Recent studies include developing penalized factorial regression models for GxE prediction, uncovering associations between plant metabolites and stress responses, and leveraging high-dimensional secondary phenotypes for genomic prediction. His articles frequently emphasize practical applications in crop improvement and climate resilience.

Project Contributions: Co-promotor of PhD projects on plant adaptation through multi-view learning and genetic architecture of Arabidopsis stress interactions. Collaborates on datasets like the European maize yield experiment and reciprocal cybrids studies to understand organellar genome effects on plant phenotypes.

Grants & Teams: Involved in projects funded by EU networks, focusing on disentangling genotype-environment interactions and enhancing crop yields under future climate scenarios.