Clément Bienvenu

This paper proposes using singular value decomposition in near infrared spectroscopy pre-processing for phenomic prediction, showing it performs as well as classical chemometrics methods with less parameter optimization.

This study evaluates phenomic prediction in sorghum breeding, showing it can compete with genomic prediction and is less affected by population structure, though trait-dependent and requiring further optimization.