Exploiting predictive metabolomics of pearl millet phenotypic traits using untargeted profiling across a Brazilian germplasm panel
This exploratory study presents the first metabolome characterisation of a pearl millet germplasm bank, coupled with predictive modelling of phenotypic traits. However, our findings are constrained by the single-environment design and the absence of population-structure assessment. To establish the stability and biological relevance of these results, future work should incorporate multi-environment trials and pathway-level analyses accounting for population structure.
Authors
- A. M. A. dos Passos (ORCID: https://orcid.org/0000-0002-9917-0688)
- Cédric Cassan (ORCID: https://orcid.org/0000-0003-3022-4278)
- Sylvain Prigent (ORCID: https://orcid.org/0000-0001-5146-0347)
- Mariana Simões Larraz Ferreira (ORCID: https://orcid.org/0000-0002-6043-0921)
- Mariana Pinheiro Costa Pimentel
- Millena C. Barros Santos
- Flavio Dessaune Tardin
- Pierre Pétriacq
Institutions
- Université de Bordeaux (FR)
- Université d'Avignon et des Pays de Vaucluse (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Biologie du Fruit et Pathologie (FR)
- MetaboHUB (FR)
- Centro Universitário de Sete Lagoas (BR)
- Universidade Federal do Estado do Rio de Janeiro (BR)
Publication Details
- Journal
- Metabolomics
- Published
- 2026-03-28
- DOI
- https://doi.org/10.1007/s11306-026-02407-7
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00