TY - JOUR
T1 - Near-infrared reflectance spectroscopy using a portable instrument to measure the nutritive value of oilseed meal as livestock feed
AU - Walelegne, Mulugeta
AU - Meheret, Fentahun
AU - Derseh, Melkamu B.
AU - Dejene, Mesfin
AU - Asmare, Yonas T.
AU - KVSV, Prasad
AU - Jones, Chris S.
AU - Dixon, Robert M.
AU - Duncan, Alan
N1 - Funding Information:
This work was funded in whole or part by the United States Agency for International Development (USAID) Bureau for Food Security under Agreement # AID-OAA-L-15-00003 as part of Feed the Future Innovation Lab for Livestock Systems. Funding was also provided by the Bill & Melinda Gates Foundation through the Equip - Strengthening Smallholder Livestock Systems for the Future (grant number OPP11755487) project. Any opinions, findings, conclusions, or recommendations expressed here are those of the authors alone. Acknowledgments
Publisher Copyright:
Copyright © 2023 Walelegne, Meheret, Derseh, Dejene, Asmare, Prasad, Jones, Dixon and Duncan.
PY - 2023/7/7
Y1 - 2023/7/7
N2 - Introduction: Measurement of the nutritive value of feedstuffs with near infrared reflectance spectroscopy (NIRS) laboratory benchtop spectrometers is well-established. The aim of this study was to examine the reliability and accuracy of a handheld low-cost Tellspec NIRS spectrometer for measurement of the nutritive value of oilseed meals. Methods: Samples (n=142) comprising byproduct meals from processing linseed, noug seed, cotton seed, groundnut, rapeseed, soybeans, and sunflower seeds were collected from farms, oil factories, wholesalers, and retail shops in central Ethiopia. Samples were scanned ‘as received’ (UGr) and also following drying and grinding (Gr), and were scanned once, twice, and ten times in a 2x3 factorial experimental design. Laboratory analyses of total nitrogen (TN), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), and in vitro organic matter digestibility (IVOMD) provided reference measurements. Calibration models were developed using a subset of 2/3 of the spectra and validated using the remaining 1/3 of sample spectra. Results: The sample form and the number of scans, and their interactions, all significantly affected the accuracy of the calibration models (P<0.001). The most accurate calibrations were with Gr samples scanned 10 times, where the coefficient of determination of both calibration and validation sets (R
2cal and R
2val) were ≥ 0.90 for most attributes. The respective standard errors of prediction (SEP) (g/kg DM) for Gr, and ‘as received’, samples respectively that were scanned ten times were: TN (3.2 and 4.7), IVOMD (11.7 and 20.1), NDF (26.9 and 43.8), ADF (25.3 and 44.6), and ADL (6.8 and 10.7). Also, the SEP for each attribute was reduced (P<0.05) by drying and grinding the sample before scanning. The ratios of the standard deviation of the calibration samples to the SEP (RPD) g/kg DM were 2.68, 2.30, 3.17, 3.05, and 4.06 for TN, IVOMD, NDF, ADF, and ADL, respectively, for Gr samples scanned ten times. Nevertheless, the SEP of samples scanned ‘as received’ would often be acceptable for routine analyses in the field and market-place under east African circumstances. Conclusion: In conclusion, NIRS calibrations for a portable handheld Tellspec NIRS spectrometer could be developed to measure important nutritional attributes of oilseed cake samples as feeds.
AB - Introduction: Measurement of the nutritive value of feedstuffs with near infrared reflectance spectroscopy (NIRS) laboratory benchtop spectrometers is well-established. The aim of this study was to examine the reliability and accuracy of a handheld low-cost Tellspec NIRS spectrometer for measurement of the nutritive value of oilseed meals. Methods: Samples (n=142) comprising byproduct meals from processing linseed, noug seed, cotton seed, groundnut, rapeseed, soybeans, and sunflower seeds were collected from farms, oil factories, wholesalers, and retail shops in central Ethiopia. Samples were scanned ‘as received’ (UGr) and also following drying and grinding (Gr), and were scanned once, twice, and ten times in a 2x3 factorial experimental design. Laboratory analyses of total nitrogen (TN), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), and in vitro organic matter digestibility (IVOMD) provided reference measurements. Calibration models were developed using a subset of 2/3 of the spectra and validated using the remaining 1/3 of sample spectra. Results: The sample form and the number of scans, and their interactions, all significantly affected the accuracy of the calibration models (P<0.001). The most accurate calibrations were with Gr samples scanned 10 times, where the coefficient of determination of both calibration and validation sets (R
2cal and R
2val) were ≥ 0.90 for most attributes. The respective standard errors of prediction (SEP) (g/kg DM) for Gr, and ‘as received’, samples respectively that were scanned ten times were: TN (3.2 and 4.7), IVOMD (11.7 and 20.1), NDF (26.9 and 43.8), ADF (25.3 and 44.6), and ADL (6.8 and 10.7). Also, the SEP for each attribute was reduced (P<0.05) by drying and grinding the sample before scanning. The ratios of the standard deviation of the calibration samples to the SEP (RPD) g/kg DM were 2.68, 2.30, 3.17, 3.05, and 4.06 for TN, IVOMD, NDF, ADF, and ADL, respectively, for Gr samples scanned ten times. Nevertheless, the SEP of samples scanned ‘as received’ would often be acceptable for routine analyses in the field and market-place under east African circumstances. Conclusion: In conclusion, NIRS calibrations for a portable handheld Tellspec NIRS spectrometer could be developed to measure important nutritional attributes of oilseed cake samples as feeds.
KW - near infrared (NIR) spectroscopy
KW - oilseed
KW - Ethiopia
KW - Handheld NIRS instrument
KW - nutritive value
U2 - 10.3389/fanim.2023.1203449
DO - 10.3389/fanim.2023.1203449
M3 - Article
SN - 2673-6225
VL - 4
SP - 1
EP - 12
JO - Frontiers in Animal Science
JF - Frontiers in Animal Science
M1 - 1203449
ER -