Near-infrared reflectance spectroscopy (NIRS): An innovative, rapid, economical, easy and non-destructive whole grain analysis method for nutritional profiling of pearl millet genotypes

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dc.creatorYadav, Sunaina
dc.creatorTomar, Maharishi
dc.creatorSinghal, Tripti
dc.creatorJoshi, Nilesh
dc.creatorBhargavi, H. A.
dc.creatorAavula, Naveen
dc.creatorLangyan, Sapna
dc.creatorJoshi, Tanay
dc.creatorSatyavathi, C Tara
dc.creatorRana, Jai Chand
dc.creatorSingh, Sumer Pal
dc.creatorBhardwaj, Rakesh
dc.creatorRiar, Amritbir
dc.date2025-06
dc.date2025-10-22T09:43:13Z
dc.date2025-10-22T09:43:13Z
dc.date.accessioned2026-06-27T13:35:38Z
dc.descriptionPearl millet, known for its nutritional excellence and climatic resilience, is becoming important in addressing food and nutritional security Current work introduces Near Infrared Spectroscopy models to estimate nutrients in pearl millet grains. The model is quick, economic and non-destructive alternative to traditional methods, useful in advancing the single plant progenies for improving nutrient content in segregating generations. Spectra were acquired from 403 varied genotypes, and mathematical optimizations using derivatives were performed to enhance the models. The optimal configurations were "2,36,6,2" (order of derivatives, gap, first smoothing and second smoothing, respectively) for amylose, "2,32,6,2" for starch, "2,32,8,2" for oil and protein, and "3,36,6,2" for phytic acid. The models were refined using modified partial least squares (MPLS) regression on spectra processed to eliminate variations with standard normal variate (SNV) and detrending (DT) techniques. The adjusted MPLS models exhibited impressive coefficients of determination of 0.985, 0.984, 0.986, 0.969 and 0.993 for amylose, protein, oil, starch and phytic acid, respectively. The SEP(C) values for amylose (0.347), starch (0.732), protein (0.313), phytic acid (0.014), and oil (0.162) suggest variable levels of predictive precision. Validation with independent samples showed superior predictive performance with coefficients of determination values ranging from 0.878 for phytic acid to 0.976 for protein, minimal bias, high ratios of prediction to deviation (2.93–5.81), and no significant differences between the predicted and reference values (p > 0.05). These advanced Near-Infrared Spectroscopy models allow quick and cost-effective nutritional assessment of pearl millet germplasm and breeding lines, supporting biofortification initiatives and enhancing nutritional security.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/177262
dc.identifier.urihttp://hdl.handle.net/123456789/64273
dc.languageen
dc.publisherElsevier
dc.rightsOpen Access
dc.sourceYadav, S.; Tomar, M.; Singhal, T.; Joshi, N.; Bhargavi, H.A.; Aavula, N.; Langyan, S.; Joshi, T.; Satyavathi, C.T.; Rana, J.C.; Singh, S.P.; Bhardwaj, R.; Riar, A. (2025) Near-infrared reflectance spectroscopy (NIRS): An innovative, rapid, economical, easy and non-destructive whole grain analysis method for nutritional profiling of pearl millet genotypes. Journal of Food Composition and Analysis 142: 107373. ISSN: 0889-1575
dc.subjectpearl millet
dc.titleNear-infrared reflectance spectroscopy (NIRS): An innovative, rapid, economical, easy and non-destructive whole grain analysis method for nutritional profiling of pearl millet genotypes
dc.typeJournal Article

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