Integrating dynamic high-throughput phenotyping and genetic analysis to monitor growth variation in foxtail millet
The HIS developed in this study enables the efficient and dynamic monitoring of foxtail millet phenotypic traits. It significantly improves the quality of data obtained for phenotyping key growth traits. The integration of high-throughput phenotyping with GWAS provides new insights into the genetic underpinnings of dynamic growth traits, particularly plant height, by identifying associated genetic loci in the GA synthesis pathway. This methodological advancement opens new avenues for the precise phenotyping and exploration of genetic resources in foxtail millet, potentially enhancing its utilisation.
Authors
- Zhaoxia Sun (ORCID: https://orcid.org/0000-0003-4011-0389)
- Qiaoqiao Wang (ORCID: https://orcid.org/0000-0001-9275-1765)
- Xiaofan Shi
- Wuping Zhang (ORCID: https://orcid.org/0000-0002-4354-4409)
- Luis A. J. Mur (ORCID: https://orcid.org/0000-0002-0961-9817)
- Siyu Hou (ORCID: https://orcid.org/0000-0001-7351-9530)
- Yuanhuai Han
- Zhenyu Wang (ORCID: https://orcid.org/0000-0001-9187-1028)
- Fuzhong Li (ORCID: https://orcid.org/0000-0001-9695-8309)
- Jiwan Han
- Jiongyu Hao (ORCID: https://orcid.org/0009-0005-8329-0158)
Institutions
- Shanxi Agricultural University (CN)
- Aberystwyth University (GB)
- Shanxi University (CN)
- Cixian People's Hospital (CN)
Publication Details
- Journal
- Plant Methods
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1186/s13007-024-01295-z
- Citations
- 6
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 3.30