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.

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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

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article

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

Arun Jagannath, Pooja Kaushik, Murali T. Variath, Vandana Patial et al.
2 citations
Journal of Food Composition and Analysis
Spectroscopy and Chemometric Analyses
1.50
article

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

Arun Jagannath, Pooja Kaushik, Murali T. Variath, Vandana Patial, Shailendra Goel, Heena Ambreen, Manjeet Aggarwal, Amar Kumar, Megha Sharma, Shivendra Kumar
article en
2 citations

Abstract

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.

Journal of Food Composition and AnalysisVol. 144
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)
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
Zero hunger
Openalex Percentile: Top 20%
Spectroscopy and Chemometric Analyses
1.50
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