Journal of Applied Animal Research (Jan 2020)

Development of local calibrations for the nutritional evaluation of fish meal and meat & bone meal by using near-infrared reflectance spectroscopy

  • A.B.M. Khaleduzzaman,
  • H.M. Salim

DOI
https://doi.org/10.1080/09712119.2020.1776715
Journal volume & issue
Vol. 48, no. 1
pp. 257 – 263

Abstract

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Fish meal and meat & bone meal from avian sources are the available animal protein sources mostly used in Bangladesh while formulating poultry diet. Due to the strong link between feed and food, the quality and safety of animal originated feed protein materials are the crucial public concern. The aim of this study was to explore the nutritional evaluation of fish meal and meat & bone meal by using near-infrared reflectance spectroscopy (NIRS). Samples were collected from different locations and feed mills in Bangladesh and were scanned in duplicate (scanning number 32, resolution 8) with an FT-NIRS systems monochromator (700–2400 nm) using a Qurtz cup sampling device. Multivariate analyses were performed for the development of calibration equations and data were centred using Partial Least Squares algorithm where spectral outliers were identified from each calibration. The accuracy of the calibration models was validated by root mean square error cross-validation (RMSECV), and correlation coefficient (R2) between the measured values determined by analytical laboratory vs. predicted values of NIRS. High correlation between laboratory values and predicted values (R2 > 90.00) were observed in predicting moisture, CP and total ash contents in both of the feed protein meals although the correlation (R2) is relatively lower in predicting EE (88.45) and P (75.41) contents in fish meal, and Ca (85.84) and P (82.23) contents in meat & bone meal. The highest RMSECV was observed in CP and total ash contents of fish meal (1.15% and 1.01%) and meat and bone meal (1.27% and 1.32%), but the RMSECV in predicting other nutrients of feed protein meals were in acceptable ranges. Therefore, it is revealed that the NIRS could potentially be used to predict the nutrient contents in fish meal and meat & bone meal in Bangladesh.

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