Metabolite Quantitative Trait Loci Mapping for Fragrance and Fatty Acid Composition in Rice (Oryza Sativa L.)
Our results demonstrate the ability of untargeted metabolomics to reveal the uniqueness of the fragrance profile of individual rice breeding lines in a mapping population which would allow for improved precision in marker-assisted selection. The various mQTLs verified in this study reaffirm the need for more in-depth metabolite-based selection incorporated in rice breeding. The information from this research is valuable for rice breeding and food quality improvement programs.
Authors
- Melissa Fitzgerald (ORCID: https://orcid.org/0000-0002-0761-764X)
- Jeanaflor Crystal T. Concepcion (ORCID: https://orcid.org/0000-0003-4524-2794)
- Mary J. Garson (ORCID: https://orcid.org/0000-0001-8670-1075)
Institutions
- University of Illinois Urbana-Champaign (US)
- The University of Queensland (AU)
- University of Sharjah (AE)
- Agriculture and Food (AU)
Publication Details
- Journal
- Rice
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1186/s12284-025-00790-8
- Citations
- 1
- Primary Topic
- GABA and Rice Research
- Type
- article
- Field-Weighted Citation Impact
- 1.75
Funders
- Australian Centre for International Agricultural Research