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...
Main Author: | |
---|---|
Format: | Master Thesis |
Language: | English |
Published: |
Norwegian University of Life Sciences, Ås
2015
|
Subjects: | |
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 |