Near-infrared reflectance of spectroscopy (NIRS) calibrations for non-destructive assessment of quality trains in intact seeds of Brassica junecea L.

Authors

Sanjula Sharma¹ , Harshdeep Kaur Mundi¹ , Harjeevan Kaur¹ , Jomika Devi¹ , Chhaya Atri¹ , Surinder Singh Banga¹

1. Punjab Agricultural University

Conference / event

Symposium on ‘Transforming the Green Revolution Hub of India: Innovations in Crop Breeding, Resource Management and Policy’, August 2022 (Ludhiana, India)

Poster summary

This work aims to develop NIRS -based prediction method as a speedy alternative for measuring quality traits, otherwise assessed using chemical methods that are often time-consuming, labor-intensive, and dangerous to health. The statistical results obtained demonstrated the efficacy of the newly developed NIRS model for accurately predicting the oil, core fatty acids, and tocopherol (α-, γ-, total) contents in Brassica oilseeds. Correlation coefficients (RSQ) of the external validations appeared greater than 0.7 for the majority of traits, such as oil (0.7), eicosenoic acid (0.716), erucic (0.870), α-tocopherol (0.796), γ-tocopherol (0.975) and total tocopherol (0.946) for B. juncea. The outcomes of the study will assist in precise screening and selection for superior quality lines in Brassica breeding programs.

Keywords

Chemical methods, Erucic acid, Tocopherols, Plant breeding

Research areas

Agriculture, Biochemistry, Plant Sciences

References

1. Appelqvist L A (1968). Lipids in Cruciferae: II. Fatty acid composition of Brassica napus seed as affected by nitrogen, phosphorus, potassium and sulfur nutrition of the plants. Physiol Plant 21: 455-65.
2. Fritsche S, Wang X, Li J, Stich B, Kopisch-Obuch F J, Endrigkeit J, Leckband G, Dreyer F, Friedt W, Meng J & Jung C (2012) A candidate gene-based association study of tocopherol content and composition in rapeseed (Brassica napus). Front Plant Sci 3: 129
3. ISO 10565:1998 Oilseeds- Simultaneous determination of oil and water contents - Method using pulsed nuclear magnetic resonance spectrometry.

Funding

No data provided

Supplemental files

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Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2023 Sharma et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.