A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm
ABSTRACT Cowpea ( 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 nondest...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/155311 |
| _version_ | 1855542931228721152 |
|---|---|
| author | Padhi, Siddhant Ranjan John, Racheal Tripathi, Kuldeep Wankhede, Dhammaprakash Pandhari Joshi, Tanay Rana, Jai Chand Riar, Amritbir Bhardwaj, Rakesh |
| author_browse | Bhardwaj, Rakesh John, Racheal Joshi, Tanay Padhi, Siddhant Ranjan Rana, Jai Chand Riar, Amritbir Tripathi, Kuldeep Wankhede, Dhammaprakash Pandhari |
| author_facet | Padhi, Siddhant Ranjan John, Racheal Tripathi, Kuldeep Wankhede, Dhammaprakash Pandhari Joshi, Tanay Rana, Jai Chand Riar, Amritbir Bhardwaj, Rakesh |
| author_sort | Padhi, Siddhant Ranjan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | ABSTRACT Cowpea ( 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 RSQ external (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 RSQ external (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 RSQ external 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. |
| format | Journal Article |
| id | CGSpace155311 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1553112025-11-05T12:46:26Z A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm Padhi, Siddhant Ranjan John, Racheal Tripathi, Kuldeep Wankhede, Dhammaprakash Pandhari Joshi, Tanay Rana, Jai Chand Riar, Amritbir Bhardwaj, Rakesh germplasm screening legumes nutritive value vigna unguiculata cowpea, spectral ABSTRACT Cowpea ( 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 RSQ external (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 RSQ external (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 RSQ external 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. 2024-06 2024-10-11T07:58:01Z 2024-10-11T07:58:01Z Journal Article https://hdl.handle.net/10568/155311 en Open Access application/pdf Wiley Padhi, S.R.; John, R.; Tripathi, K.; Wankhede, D.P.; Joshi, T.; Rana, J.C.; Riar, A.; Bhardwaj, R. (2024) A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm. Legume Science 6(2): e229. ISSN: 2639-6181 |
| spellingShingle | germplasm screening legumes nutritive value vigna unguiculata cowpea, spectral Padhi, Siddhant Ranjan John, Racheal Tripathi, Kuldeep Wankhede, Dhammaprakash Pandhari Joshi, Tanay Rana, Jai Chand Riar, Amritbir Bhardwaj, Rakesh A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm |
| title | A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm |
| title_full | A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm |
| title_fullStr | A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm |
| title_full_unstemmed | A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm |
| title_short | A comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm |
| title_sort | comparison of spectral preprocessing methods and their effects on nutritional traits in cowpea germplasm |
| topic | germplasm screening legumes nutritive value vigna unguiculata cowpea, spectral |
| url | https://hdl.handle.net/10568/155311 |
| work_keys_str_mv | AT padhisiddhantranjan acomparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT johnracheal acomparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT tripathikuldeep acomparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT wankhededhammaprakashpandhari acomparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT joshitanay acomparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT ranajaichand acomparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT riaramritbir acomparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT bhardwajrakesh acomparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT padhisiddhantranjan comparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT johnracheal comparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT tripathikuldeep comparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT wankhededhammaprakashpandhari comparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT joshitanay comparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT ranajaichand comparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT riaramritbir comparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm AT bhardwajrakesh comparisonofspectralpreprocessingmethodsandtheireffectsonnutritionaltraitsincowpeagermplasm |