Exploring natural variation in seed oil traits across the global germplasm of the oilseed crop, Carthamus tinctorius L. (Safflower) using near-infrared reflectance spectroscopy and gas chromatography
Safflower is a drought-resilient crop with seed-oil rich in unsaturated linoleic and oleic acids . However, the low oil content has deterred its adoption as a major oilseed . We profiled a global collection of 1497 safflower accessions from twelve regional gene pools for their seed-oil content and fatty-acid composition. Oil content was estimated using the non-destructive Near-Infrared Reflectance Spectroscopy method based on a newly calibrated equation. Our findings highlight significant variability in the global reference collection for oil content, which ranged from 11.24 % to 59.16 %. The robustness of our calibrated equation was demonstrated by the strong correlation between datasets from two years (0.68 %). Furthermore, germplasm evaluation for fatty acid composition using gas chromatography revealed substantial diversity in linoleic (8.22–87.27 %) and oleic acid (6.98–85.84 %) content of safflower seeds . Collectively, accessions from USA and Indian subcontinent gene pools exhibited greatest variability in seed oil traits. In total, we identified eight accessions with very high oil content (>50 %), four accessions with high oil content (>40 %) coupled with desirable oleic acid (>75 %). The present work will aid safflower breeding programs. • Development and validation of robust NIRS calibration equation for oil in safflower. • Identification of a wide range of oil content (20 %-59 %) in safflower global germplasm. • Analysis of global germplasm to identify high-oil accessions with desirable composition. • This study has potential applications in crop improvement breeding programs.
Authors
- Arun Jagannath (ORCID: https://orcid.org/0009-0006-1992-7131)
- Pooja Kaushik (ORCID: https://orcid.org/0000-0003-4619-8772)
- Murali T. Variath (ORCID: https://orcid.org/0000-0001-5775-0329)
- Vandana Patial
- Shailendra Goel (ORCID: https://orcid.org/0000-0002-8731-8892)
- Heena Ambreen (ORCID: https://orcid.org/0000-0001-5994-8515)
- Manjeet Aggarwal (ORCID: https://orcid.org/0000-0001-8638-505X)
- Amar Kumar (ORCID: https://orcid.org/0000-0003-0382-9837)
- Megha Sharma
- Shivendra Kumar (ORCID: https://orcid.org/0000-0002-2192-2069)
Institutions
- University of Delhi (IN)
- Indian Agricultural Statistics Research Institute (IN)
- University of Exeter (GB)
- State University System of Florida (US)
- Swami Keshwanand Rajasthan Agricultural University (IN)
- Indian Agricultural Research Institute (IN)
- Concordia University (CA)
Publication Details
- Journal
- Journal of Food Composition and Analysis
- Published
- 2025-04-27
- DOI
- https://doi.org/10.1016/j.jfca.2025.107700
- Citations
- 2
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- Department of Science and Technology, Ministry of Science and Technology, India
- Council of Scientific and Industrial Research, India
- Ministry of Science and Technology of the People's Republic of China
- University of Delhi
- Science and Engineering Research Board