Article

Comparative assessment of genomic, phenomic, and metabolomic prediction models in biparental grapevine breeding populations

2025-10-24

Abstract excerpt

Accelerating grapevine breeding for disease resistance and climate adaptation remains a major challenge due to long generation cycles. We conducted a comprehensive benchmarking of genomic (SNP), phenomic (FT-NIR), and metabolomic (untargeted LC-MS) prediction models across multiple traits in a biparental grapevine population phenotyped over three years. Seven statistical frameworks and four tissue x timepoint stra...

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Literature Corpus work: e906a2bc-faa6-517d-b7ff-e8cb3801894f
DOI: 10.1101/2025.10.24.684307

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