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Article

Feature engineering and parameter tuning: improving phenomic prediction ability in multi-environmental durum wheat breeding trials.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 22 Jul 2024

Meyenberg Carina, Braun Vincent, Longin Carl Friedrich Horst, Thorwarth Patrick

Abstract excerpt

KEY MESSAGE: Optimized phenomic selection in durum wheat uses near-infrared spectra, feature engineering and parameter tuning. Our study reports improvements in predictive ability and emphasizes customized preprocessing for different traits and models. The success of plant breeding programs depends on efficient selection decisions. Phenomic selection has been proposed as a tool to predict phenotype performance...

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Environment
Genotype
Models, Genetic
Phenomics
Plant Breeding

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Selection, Genetic

Spectroscopy, Near-Infrared

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Identifiers

PMID: 39037501
DOI: 10.1007/s00122-024-04695-w
PMCID: PMC11263437

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