Identifying genetic determinants of forage sorghum [Sorghum bicolor (Moench)] adaptation through GWAS
FarmCPU was identified as the most suitable and effective among all the models for controlling both false positives and false negatives. Further in-depth analysis of the newly discovered QTNs may lead to the identification of new candidate genes for the trait of interest. These studies elucidate gene functions and could transform forage sorghum breeding through marker-assisted selection and transgenic approaches, accelerating the development of superior forage sorghum varieties and enhancing global food security.
Authors
- Partha Pratim Behera (ORCID: https://orcid.org/0000-0001-5050-5400)
- P. Supriya
- Avinash Singode
- R. N. Sarma (ORCID: https://orcid.org/0000-0002-9106-7926)
- Harendra Verma (ORCID: https://orcid.org/0000-0003-4226-7662)
- Nayanmoni Borah
- B. Venkatesh Bhat
Institutions
- Assam Don Bosco University (IN)
- Acharya N. G. Ranga Agricultural University (IN)
- Assam Agricultural University (IN)
- ICAR Research Complex for NEH Region (IN)
- Indian Institute of Millets Research (IN)
Publication Details
- Journal
- BMC Plant Biology
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1186/s12870-024-05754-6
- Citations
- 4
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 2.20
Funders
- Assam Agricultural University