Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula
Mutant-screening pipeline provided here is a practical example for targeted data integration and data mining under the guide of upper-layer omic data. Targeted combination of phenomic and metabolomic data provides the ability for accurate phenotype discrimination and prediction from both external and internal aspects, providing a powerful tool for phenotype selection in new-generation crop breeding.
Authors
- Haiyang Pang
- Xiong Deng (ORCID: https://orcid.org/0000-0001-7863-1695)
- Jingyu Zhang (ORCID: https://orcid.org/0000-0003-2140-5851)
- Kang Chong (ORCID: https://orcid.org/0000-0003-4364-778X)
- Yao Fu (ORCID: https://orcid.org/0000-0001-5257-8232)
- Aiwu Zhang (ORCID: https://orcid.org/0000-0002-2149-202X)
Institutions
- Beijing Botanical Garden (CN)
- Institute of Botany (CN)
- University of Chinese Academy of Sciences (CN)
- Capital Normal University (CN)
Publication Details
- Journal
- Plant Phenomics
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1016/j.plaphe.2025.100020
- Citations
- 1
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.81