Applicability of near-infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves
There is uncertainty on how generally applicable near‐infrared reflectance spectroscopy (NIRS) calibrations are across genotypes and environments, and this study tests how well a single calibration performs across a wide range of conditions. We also address the optimization of NIRS to perform the an...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2013
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/51538 |
| _version_ | 1855523903589318656 |
|---|---|
| author | Towett, Erick K. Alex, M. Shepherd, Keith D. Polreich, S. Aynekulu, Ermias Maass, Brigitte L. |
| author_browse | Alex, M. Aynekulu, Ermias Maass, Brigitte L. Polreich, S. Shepherd, Keith D. Towett, Erick K. |
| author_facet | Towett, Erick K. Alex, M. Shepherd, Keith D. Polreich, S. Aynekulu, Ermias Maass, Brigitte L. |
| author_sort | Towett, Erick K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | There is uncertainty on how generally applicable near‐infrared reflectance spectroscopy (NIRS) calibrations are across genotypes and environments, and this study tests how well a single calibration performs across a wide range of conditions. We also address the optimization of NIRS to perform the analysis of crude protein (CP) content in a variety of cowpea accessions (n = 561) representing genotypic variation as well as grown in a wide range of environmental conditions in Tanzania and Uganda. The samples were submitted to NIRS analysis and a predictive calibration model developed. A modified partial least‐squares regression with cross‐validation was used to evaluate the models and identify possible spectral outliers. Calibration statistics for CP suggests that NIRS can predict this parameter in a wide range of cowpea leaves from different agro‐ecological zones of eastern Africa with high accuracy (R2cal = 0.93; standard error of cross‐validation = 0.74). NIRS analysis improved when a calibration set was developed from samples selected to represent the range of spectral variability. We conclude from the present results that this technique is a good alternative to chemical analysis for the determination of CP contents in leaf samples from cowpea in the African context, as one of the main advantages of NIRS is the large number of compounds that can be measured at once in the same sample, thus substantially reducing the cost per analysis. The current model is applicable in predicting the CP content of young cowpea leaves for human nutrition from different agro‐ecological zones and genetic materials, as cowpea leaves are one of the popular vegetables in the region. |
| format | Journal Article |
| id | CGSpace51538 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace515382024-08-27T10:35:49Z Applicability of near-infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves Towett, Erick K. Alex, M. Shepherd, Keith D. Polreich, S. Aynekulu, Ermias Maass, Brigitte L. feed crops vigna unguiculata protein content infrared spectrophotometry models contenido proteico espectroscopía infrarroja modelos There is uncertainty on how generally applicable near‐infrared reflectance spectroscopy (NIRS) calibrations are across genotypes and environments, and this study tests how well a single calibration performs across a wide range of conditions. We also address the optimization of NIRS to perform the analysis of crude protein (CP) content in a variety of cowpea accessions (n = 561) representing genotypic variation as well as grown in a wide range of environmental conditions in Tanzania and Uganda. The samples were submitted to NIRS analysis and a predictive calibration model developed. A modified partial least‐squares regression with cross‐validation was used to evaluate the models and identify possible spectral outliers. Calibration statistics for CP suggests that NIRS can predict this parameter in a wide range of cowpea leaves from different agro‐ecological zones of eastern Africa with high accuracy (R2cal = 0.93; standard error of cross‐validation = 0.74). NIRS analysis improved when a calibration set was developed from samples selected to represent the range of spectral variability. We conclude from the present results that this technique is a good alternative to chemical analysis for the determination of CP contents in leaf samples from cowpea in the African context, as one of the main advantages of NIRS is the large number of compounds that can be measured at once in the same sample, thus substantially reducing the cost per analysis. The current model is applicable in predicting the CP content of young cowpea leaves for human nutrition from different agro‐ecological zones and genetic materials, as cowpea leaves are one of the popular vegetables in the region. 2013-01 2014-11-12T13:42:28Z 2014-11-12T13:42:28Z Journal Article https://hdl.handle.net/10568/51538 en Open Access Wiley Towett, Erick K; Alex, Merle; Shepherd, Keith D; Polreich, Severin; Aynekulu, Ermias; Maass, Brigitte L. 2013. Applicability of near-infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves. Food Sciences and Nutrition. 1(1): 45-53. |
| spellingShingle | feed crops vigna unguiculata protein content infrared spectrophotometry models contenido proteico espectroscopía infrarroja modelos Towett, Erick K. Alex, M. Shepherd, Keith D. Polreich, S. Aynekulu, Ermias Maass, Brigitte L. Applicability of near-infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves |
| title | Applicability of near-infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves |
| title_full | Applicability of near-infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves |
| title_fullStr | Applicability of near-infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves |
| title_full_unstemmed | Applicability of near-infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves |
| title_short | Applicability of near-infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves |
| title_sort | applicability of near infrared reflectance spectroscopy nirs for determination of crude protein content in cowpea vigna unguiculata leaves |
| topic | feed crops vigna unguiculata protein content infrared spectrophotometry models contenido proteico espectroscopía infrarroja modelos |
| url | https://hdl.handle.net/10568/51538 |
| work_keys_str_mv | AT towetterickk applicabilityofnearinfraredreflectancespectroscopynirsfordeterminationofcrudeproteincontentincowpeavignaunguiculataleaves AT alexm applicabilityofnearinfraredreflectancespectroscopynirsfordeterminationofcrudeproteincontentincowpeavignaunguiculataleaves AT shepherdkeithd applicabilityofnearinfraredreflectancespectroscopynirsfordeterminationofcrudeproteincontentincowpeavignaunguiculataleaves AT polreichs applicabilityofnearinfraredreflectancespectroscopynirsfordeterminationofcrudeproteincontentincowpeavignaunguiculataleaves AT aynekuluermias applicabilityofnearinfraredreflectancespectroscopynirsfordeterminationofcrudeproteincontentincowpeavignaunguiculataleaves AT maassbrigittel applicabilityofnearinfraredreflectancespectroscopynirsfordeterminationofcrudeproteincontentincowpeavignaunguiculataleaves |