标题：Evaluating Near Infrared Reflectance Spectroscopy
(NIRS) to predict the nutrient composition, energy
value and digestibility of lupin kernel meals when
fed to rainbow trout,
期刊名称：Western Australia. Fisheries Department. Fisheries Research Reports
印刷版ISSN：1035-4549
出版年度：2008
卷号：178
页码：126-126
出版社：Government of Western Australia / Department of Fisheries
摘要：This study examined the ability of NIRS to predict nutrient composition, energy value and
digestibility of lupin kernel meals when fed to rainbow trout by scanning both whole lupin
seeds and kernel meal. Kernel meal samples of narrow-leaf lupins, Lupinus angustifolius that
were to be used to prepare diets for rainbow trout feeding trials were scanned using a Bruker
MPA Fourier transform near infra red (FTNIR) spectrophotometer (the whole seeds were
also scanned where they were available.). After the chemical analyses were completed on the
constituent kernel meal samples, and the diets, the digestibility of both were also evaluated by
analysing the fish faeces. The NIRS spectra were then used to create calibrations (regression
equations) using the OPUS. chemo-metrics software package. This exercise involved running
optimisation experiments to find the best math pre-treatment and wavelength segment(s) for each
digestibility, nutrient and energy data set. In some cases values were excluded as outliers to the
regression. The results are reported in terms of standard error of cross validation (SECV) and
correlation coefficient (R2). Cross-correlation between the predicted values was also evaluated
and compared to that of the raw data. Viable calibrations were obtained for Protein, Protein
plus Fat, Carbohydrate and the Sum of the Amino Acids. These parameters all had SECVs
less than or equal to the standard error of the reference method and no greater than half the
standard deviation of the population under consideration. Several other parameters were close
to being acceptable lacking only a larger variation in the population relative to their SECVs.
The findings of the study indicate the potential to use NIRS to rapidly and non-destructively
evaluate the nutrient composition and energy of lupin meal used in fish diets and even to predict
the digestibility of some of these values.
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