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Improving Genomic Prediction Using High-Dimensional Secondary Phenotypes: The Genetic Latent Factor Approach.

Biometrical journal. Biometrische Zeitschrift - 1 Oct 2025

Melsen Killian A C, Kunst Jonathan F, Crossa José, Krause Margaret R, van Eeuwijk Fred A, Kruijer Willem, Peeters Carel F W

Abstract excerpt

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 generate high-dimensional datasets of secondary features that may be used to improve genomic prediction accuracy. However, integration of these data comes with challenges such as multicollinearity, parameter estimation in p > n $p > n$...

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PMID: 41058205
DOI: 10.1002/bimj.70081
PMCID: PMC12504928

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