Developing prediction equation for digestibility of nutrients in faeces from individual atlantic salmon

The purpose of this study was to develop a robust and reliable approach to predict apparent digestibility coefficients of fat and protein of individual Atlantic salmon (Salmo salar), based on multivariate regression models from measured NIR (near infrared reflectance) spectra of their faeces. The pe...

Full description

Bibliographic Details
Main Author: Appiah, Augustine Kwarteng
Format: Master Thesis
Language:English
Published: Norwegian University of Life Sciences, Ås 2015
Subjects:
fat
Online Access:http://hdl.handle.net/11250/2364816
id ftunivmob:oai:nmbu.brage.unit.no:11250/2364816
record_format openpolar
spelling ftunivmob:oai:nmbu.brage.unit.no:11250/2364816 2023-05-15T15:30:57+02:00 Developing prediction equation for digestibility of nutrients in faeces from individual atlantic salmon Appiah, Augustine Kwarteng 2015-11-19 application/pdf http://hdl.handle.net/11250/2364816 eng eng Norwegian University of Life Sciences, Ås http://hdl.handle.net/11250/2364816 53 Near infrared root mean square error of cross-validation partial least squares coefficient of determindation extended multiplicative scatter correction protein faeces fat VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 Master thesis 2015 ftunivmob 2021-09-23T20:16:05Z The purpose of this study was to develop a robust and reliable approach to predict apparent digestibility coefficients of fat and protein of individual Atlantic salmon (Salmo salar), based on multivariate regression models from measured NIR (near infrared reflectance) spectra of their faeces. The period of the experiment from rearing to faecal analysis was from July 2014 to March 2015. A total of 180 faecal samples of protein collected from 10 different experiments and 115 faecal samples of fat also all collected from 9 different experiments were used to calibrate the NIR instrument. Full cross-validation was used for the fat calibration, with 5 samples randomly selected and chemically analyzed for fat to complement the fat validation. 23 faecal samples from a different experiment were also used to validate the protein calibrations. Faeces from 60 Atlantic salmon (Salmo salar) of different families were used for the prediction in the study. The developed equation had better prediction precision (R2; 0.97, RESD; 0.19, and Bias; -0.002) for protein than for fat (R2; 0.92, RESD; 0.29, and Bias; 0.02). In comparing with results of other studies performed in similar ways, the protein model had good prediction results (15.6, of data set A) and the fat (5.26, of data set A) as compared with other studies. However, detailed description explanation of the prediction (data set A) of individual is treated in parallel thesis. M-AA Master Thesis Atlantic salmon Salmo salar Open archive Norwegian University of Life Sciences: Brage NMBU
institution Open Polar
collection Open archive Norwegian University of Life Sciences: Brage NMBU
op_collection_id ftunivmob
language English
topic Near infrared
root mean square error of cross-validation
partial least squares
coefficient of determindation
extended multiplicative scatter correction
protein
faeces
fat
VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
spellingShingle Near infrared
root mean square error of cross-validation
partial least squares
coefficient of determindation
extended multiplicative scatter correction
protein
faeces
fat
VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
Appiah, Augustine Kwarteng
Developing prediction equation for digestibility of nutrients in faeces from individual atlantic salmon
topic_facet Near infrared
root mean square error of cross-validation
partial least squares
coefficient of determindation
extended multiplicative scatter correction
protein
faeces
fat
VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
description The purpose of this study was to develop a robust and reliable approach to predict apparent digestibility coefficients of fat and protein of individual Atlantic salmon (Salmo salar), based on multivariate regression models from measured NIR (near infrared reflectance) spectra of their faeces. The period of the experiment from rearing to faecal analysis was from July 2014 to March 2015. A total of 180 faecal samples of protein collected from 10 different experiments and 115 faecal samples of fat also all collected from 9 different experiments were used to calibrate the NIR instrument. Full cross-validation was used for the fat calibration, with 5 samples randomly selected and chemically analyzed for fat to complement the fat validation. 23 faecal samples from a different experiment were also used to validate the protein calibrations. Faeces from 60 Atlantic salmon (Salmo salar) of different families were used for the prediction in the study. The developed equation had better prediction precision (R2; 0.97, RESD; 0.19, and Bias; -0.002) for protein than for fat (R2; 0.92, RESD; 0.29, and Bias; 0.02). In comparing with results of other studies performed in similar ways, the protein model had good prediction results (15.6, of data set A) and the fat (5.26, of data set A) as compared with other studies. However, detailed description explanation of the prediction (data set A) of individual is treated in parallel thesis. M-AA
format Master Thesis
author Appiah, Augustine Kwarteng
author_facet Appiah, Augustine Kwarteng
author_sort Appiah, Augustine Kwarteng
title Developing prediction equation for digestibility of nutrients in faeces from individual atlantic salmon
title_short Developing prediction equation for digestibility of nutrients in faeces from individual atlantic salmon
title_full Developing prediction equation for digestibility of nutrients in faeces from individual atlantic salmon
title_fullStr Developing prediction equation for digestibility of nutrients in faeces from individual atlantic salmon
title_full_unstemmed Developing prediction equation for digestibility of nutrients in faeces from individual atlantic salmon
title_sort developing prediction equation for digestibility of nutrients in faeces from individual atlantic salmon
publisher Norwegian University of Life Sciences, Ås
publishDate 2015
url http://hdl.handle.net/11250/2364816
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_source 53
op_relation http://hdl.handle.net/11250/2364816
_version_ 1766361431127621632