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Article

Using Near Infrared Reflectance Spectroscopy (NIRS) to predict the protein and energy digestibility of lupin kernel meals when fed to rainbow trout, Oncorhynchus mykiss

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Citation

Glencross B, Bourne N, Hawkins WE, Karopoulos M, Evans D, Rutherford N, McCafferty P, Dods K, Burridge P, Veitch C, Sipsas S, Buirchell B & Sweetingham M (2015) Using Near Infrared Reflectance Spectroscopy (NIRS) to predict the protein and energy digestibility of lupin kernel meals when fed to rainbow trout, Oncorhynchus mykiss. Aquaculture Nutrition, 21 (1), pp. 54-62. https://doi.org/10.1111/anu.12137

Abstract
This study examined the potential of using near infrared spectroscopy (NIRS) to predict the nutrient composition, energy density and the digestible protein and digestible energy values of lupin kernel meals when fed to rainbow trout. A series of 136 lupin kernel meals were assessed for their protein and energy digestibilities using the diet-substitution approach in a series of 10 experiments over a 6-year period from 2002 to 2008. Two reference diets were also included in each experiment. Minimal variance in the digestibility parameters of both reference diets was observed among the experiments ensuring that there was a high degree of robustness in the across-experiment evaluations. The same lupin kernel meal samples were also scanned using a diode array near infrared spectrophotometer (DA-NIRS). The spectra obtained by the DA-NIRS were chemometrically calibrated against both the chemical composition and the digestible value data using multivariate analysis software. The cross validation tests used in this study provide a valid indication of the potential to predict the nutrient composition, energy value and digestible protein and energy values of the lupin kernel meals as used in diets for rainbow trout. That the standard errors of cross validation (SECV) of the parameters investigated were generally commensurate with the cross trial variation seen in the reference sample indicating robust calibrations for the two target parameters of digestible protein and digestible energy. Therefore this study demonstrates that within one raw material type that not only does significant variability in the digestible value of the raw materials exist, but that it is possible to use NIRS technology to provide rapid estimates of the digestible value of those raw materials in near real-time. © 2014 John Wiley & Sons Ltd.

Keywords
digestibility; feed ingredients; modelling; pulses; rainbow trout

Journal
Aquaculture Nutrition: Volume 21, Issue 1

StatusPublished
Publication date28/02/2015
Publication date online26/02/2014
Date accepted by journal17/09/2013
URL
PublisherWiley-Blackwell
ISSN1353-5773
eISSN1365-2095

People (1)

Professor Brett Glencross

Professor Brett Glencross

Honorary Professor, Institute of Aquaculture

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