A Comparison of Spectral Preprocessing Methods and Their Effects on Nutritional Traits in Cowpea Germplasm

Siddhant Ranjan Padhi; Racheal John; Kuldeep Tripathi; Dhammaprakash Pandhari Wankhede; Tanay Joshi; Jai Chand Rana; Amritbir Riar; Rakesh Bhardwaj

doi:10.1002/leg3.229

journal article Open Access Apr 11, 2024

A Comparison of Spectral Preprocessing Methods and Their Effects on Nutritional Traits in Cowpea Germplasm

Siddhant Ranjan Padhi

Racheal John Kuldeep Tripathi Dhammaprakash Pandhari Wankhede Tanay Joshi Jai Chand Rana Amritbir Riar

Rakesh Bhardwaj

Legume Science Vol. 6 No. 2 · Wiley

View at Publisher Save 10.1002/leg3.229

Abstract

ABSTRACTCowpea (Vigna unguiculata L. (Walp)) is a multipurpose legume, which has good nutritional properties. Nutritional parameters assessed conventionally can be labour intensive, costly and time taking for germplasm screening. Near‐infrared reflectance spectroscopy (NIRS) is a rapid and nondestructive method, which can facilitate high‐throughput germplasm screening. In our study, estimation of amylose and sugars has been done using NIRS. Two preprocessing methods, that is, SNV‐DT (standard normal variate with detrending) and MSC (multiplicative scatter correction), were performed for optimization of the original spectra. Subsequently, MPLS (modified partial least square) regression method was employed to construct the prediction models. In amylose, the best RSQexternal (coefficient of determination) (0.962) was found in SNV‐DT with mathematical treatment 3,8,8,2. The same result was shown in sugar where the best RSQexternal (0.914) was found in SNV‐DT with mathematical treatment 3,4,4,1. Overall, in the case of amylose and sugars, SNV‐DT was found to be a good preprocessing treatment than MSC. Paired t‐test values in all the treatments for both the preprocessing methods were > 0.05 indicating their reliability. High RSQexternal values for both the traits imply the applicability of the prediction models. Thus, these models can facilitate high‐throughput germplasm screening in different national and international crop improvement programmes focusing on quality traits.

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Citations

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References

Details

Published: Apr 11, 2024
Vol/Issue: 6(2)
License: View

Authors

S

Siddhant Ranjan Padhi

The Graduate School ICAR‐Indian Agricultural Research Institute New Delhi India; ICAR‐National Bureau of Plant Genetic Resources New Delhi India

R

Racheal John

ICAR‐National Bureau of Plant Genetic Resources New Delhi India

K

Kuldeep Tripathi

ICAR‐National Bureau of Plant Genetic Resources New Delhi India

D

Dhammaprakash Pandhari Wankhede

ICAR‐National Bureau of Plant Genetic Resources New Delhi India

T

Tanay Joshi

Department of International Cooperation Research Institute of Organic Agriculture, FiBL Frick Switzerland

J

Jai Chand Rana

Alliance of Bioversity International and CIAT, India Office New Delhi India

A

Amritbir Riar

Department of International Cooperation Research Institute of Organic Agriculture, FiBL Frick Switzerland

R

Rakesh Bhardwaj

ICAR‐National Bureau of Plant Genetic Resources New Delhi India

Funding

Indian Council of Agricultural Research Award: PGR/GEV/BUR‐DEL‐01.06

Direktion für Entwicklung und Zusammenarbeit

Cite This Article

Siddhant Ranjan Padhi, Racheal John, Kuldeep Tripathi, et al. (2024). A Comparison of Spectral Preprocessing Methods and Their Effects on Nutritional Traits in Cowpea Germplasm. Legume Science, 6(2). https://doi.org/10.1002/leg3.229

A Comparison of Spectral Preprocessing Methods and Their Effects on Nutritional Traits in Cowpea Germplasm

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