Application of near-infrared reflectance spectroscopy to estimate the bulk density of Ethiopian mustard seeds
✍ Scribed by Velasco, Leonardo; Fernández-Martínez, José M; De Haro, Antonio
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 204 KB
- Volume
- 77
- Category
- Article
- ISSN
- 0022-5142
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✦ Synopsis
This study was conducted to test the applicability of NIRS to estimate the bulk density of Ethiopian mustard seeds. A set of samples from the 1992 crop with bulk density values between 262 and 676 kg m~3 was used to develop a calibration equation for this trait. The best equation was obtained by using the original log (1/R) spectra, without any mathematical pretreatment, and modiÐed partial least squares (MPLS) regression. The coefficient of determination in external validation (r2) was 0.92, which indicated a high reliability in the estimation of bulk density by NIRS. This equation was successively expanded with new samples from the 1993 and 1994 crops. The calibration equation developed in 1994, including 356 samples from the 1992, 1993 and 1994 crops, was validated with a total of 362 samples from the 1995 crop, ranging from 204 to 697 kg m~3. The r2 was 0É92, indicating the high robustness of the 3-year calibration equation to estimate the bulk density of samples from populations not represented in the calibration set. A 3-year calibration was also developed by multiple linear regression (MLR) and a restriction to 19 wavelengths available in common Ðlter instruments, resulting in an r2 \ 0É88 in the validation with samples from 1995, which suggests that this trait may be also accurately estimated in Ðlter instruments. This study demonstrated that the bulk density of Ethiopian mustard seeds can be easily and accurately estimated by NIRS, which facilitates the rapid identiÐcation of undesirable low bulk density samples in routine analysis.
1998 SCI.