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Article

Machine learning-based prediction of dynamic heterosis for plant height with pathway biomarkers in rice.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 3 Apr 2026

Dan Zhiwu, Chen Yunping, Huang Wenchao

Abstract excerpt

KEY MESSAGE: The metabolomic landscape of dynamic heterosis for plant height was displayed in rice. Heterosis-associated pathways across most developmental stages were developed into robust pathway biomarkers. The development of robust biomarkers enables accurate prediction of complex phenotypes, which contribute to the advancement of precision breeding. However, the dynamic nature of biomarkers is often...

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Identifiers

PMID: 41931164
DOI: 10.1007/s00122-026-05218-5
PMCID: PMC13048941

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