Direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy

In animal production digestibility is an essential factor of the valorization of diets. The main factor of variation of digestibility is the characteristics of the feed itself. In recent experiments we have shown that there are also differences between animals for the ability to digest diets. Such genetic experiments require individual digestibility trials, involving a considerable number of faeces analyses. Therefore we now use routinely NIRS for prediction of faeces chemical composition: DM (Dry matter), GE (Gross energy), Protein, Starch , Fat. A step further in the use of NIRS would be the direct prediction of digestibility by NIRS, because it would avoid the precise registration of feed intake and excreta quantities, which would considerably simplify experimental work. In the framework of an experiment on genetic selection in poultry, we measured DM and GE digestibility values, and the corresponding faeces samples were kept for NIRS analysis. This resulted in 240 faeces samples of known DM (dDM) and 173 of known GE (dGE) digestibilities. Diffuse reflectance NIRS spectra of samples were measured on a FOSS NIRSystem 6500 spectrometer. Calibration equations were built after mathematical pre-processing of spectral data (SNV and detrend with 2nd derivative of spectra) without visible wavelengths. Partial Least Squares regression (modified PLS in WINISI software) was found to be the most efficient method for calibrations. Equations obtained had R2, SEC and SECV values of 0.97, 2.11, 2.67 for dDM and 0.99, 1.31, 1.93 for dGE. The corresponding SD/SECV rations were 4.6 and 5.8 respectively. A validation was run by removing 60 samples (randomly chosen) from the database and predict them with equations developed on remaining samples. SEP values obtained were 3.82 and 2.18 respectively, which shows the robustness of equations. These results confirm that the digestibility of DM and GE can be predicted with a sufficient accuracy directly from poultry faeces in our experiments. It must be underlined that our experimental design aimed to study only the animal part of digestibility, therefore using the same feed for all animals. Prediction of digestibility of different feed is therefore not possible from this particular equation and will have to be calibrated from variable diets.

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Main Authors: Bastianelli, Denis, Carré, Bernard, Mignon-Grasteau, Sandrine, Bonnal, Laurent, Davrieux, Fabrice
Format: conference_item biblioteca
Language:eng
Published: IM Publications
Subjects:L51 - Physiologie animale - Nutrition, alimentation des animaux, volaille, composition chimique, fèces, produit alimentaire, http://aims.fao.org/aos/agrovoc/c_429, http://aims.fao.org/aos/agrovoc/c_6145, http://aims.fao.org/aos/agrovoc/c_1794, http://aims.fao.org/aos/agrovoc/c_2772, http://aims.fao.org/aos/agrovoc/c_3032,
Online Access:http://agritrop.cirad.fr/531003/
http://agritrop.cirad.fr/531003/1/document_531003.pdf
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institution CIRAD FR
collection DSpace
country Francia
countrycode FR
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databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic L51 - Physiologie animale - Nutrition
alimentation des animaux
volaille
composition chimique
fèces
produit alimentaire
http://aims.fao.org/aos/agrovoc/c_429
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_3032
L51 - Physiologie animale - Nutrition
alimentation des animaux
volaille
composition chimique
fèces
produit alimentaire
http://aims.fao.org/aos/agrovoc/c_429
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_3032
spellingShingle L51 - Physiologie animale - Nutrition
alimentation des animaux
volaille
composition chimique
fèces
produit alimentaire
http://aims.fao.org/aos/agrovoc/c_429
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_3032
L51 - Physiologie animale - Nutrition
alimentation des animaux
volaille
composition chimique
fèces
produit alimentaire
http://aims.fao.org/aos/agrovoc/c_429
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_3032
Bastianelli, Denis
Carré, Bernard
Mignon-Grasteau, Sandrine
Bonnal, Laurent
Davrieux, Fabrice
Direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy
description In animal production digestibility is an essential factor of the valorization of diets. The main factor of variation of digestibility is the characteristics of the feed itself. In recent experiments we have shown that there are also differences between animals for the ability to digest diets. Such genetic experiments require individual digestibility trials, involving a considerable number of faeces analyses. Therefore we now use routinely NIRS for prediction of faeces chemical composition: DM (Dry matter), GE (Gross energy), Protein, Starch , Fat. A step further in the use of NIRS would be the direct prediction of digestibility by NIRS, because it would avoid the precise registration of feed intake and excreta quantities, which would considerably simplify experimental work. In the framework of an experiment on genetic selection in poultry, we measured DM and GE digestibility values, and the corresponding faeces samples were kept for NIRS analysis. This resulted in 240 faeces samples of known DM (dDM) and 173 of known GE (dGE) digestibilities. Diffuse reflectance NIRS spectra of samples were measured on a FOSS NIRSystem 6500 spectrometer. Calibration equations were built after mathematical pre-processing of spectral data (SNV and detrend with 2nd derivative of spectra) without visible wavelengths. Partial Least Squares regression (modified PLS in WINISI software) was found to be the most efficient method for calibrations. Equations obtained had R2, SEC and SECV values of 0.97, 2.11, 2.67 for dDM and 0.99, 1.31, 1.93 for dGE. The corresponding SD/SECV rations were 4.6 and 5.8 respectively. A validation was run by removing 60 samples (randomly chosen) from the database and predict them with equations developed on remaining samples. SEP values obtained were 3.82 and 2.18 respectively, which shows the robustness of equations. These results confirm that the digestibility of DM and GE can be predicted with a sufficient accuracy directly from poultry faeces in our experiments. It must be underlined that our experimental design aimed to study only the animal part of digestibility, therefore using the same feed for all animals. Prediction of digestibility of different feed is therefore not possible from this particular equation and will have to be calibrated from variable diets.
format conference_item
topic_facet L51 - Physiologie animale - Nutrition
alimentation des animaux
volaille
composition chimique
fèces
produit alimentaire
http://aims.fao.org/aos/agrovoc/c_429
http://aims.fao.org/aos/agrovoc/c_6145
http://aims.fao.org/aos/agrovoc/c_1794
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_3032
author Bastianelli, Denis
Carré, Bernard
Mignon-Grasteau, Sandrine
Bonnal, Laurent
Davrieux, Fabrice
author_facet Bastianelli, Denis
Carré, Bernard
Mignon-Grasteau, Sandrine
Bonnal, Laurent
Davrieux, Fabrice
author_sort Bastianelli, Denis
title Direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy
title_short Direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy
title_full Direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy
title_fullStr Direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy
title_full_unstemmed Direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy
title_sort direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy
publisher IM Publications
url http://agritrop.cirad.fr/531003/
http://agritrop.cirad.fr/531003/1/document_531003.pdf
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AT mignongrasteausandrine directpredictionofenergydigestibilityfrompoultryfaecesusingnearinfraredspectroscopy
AT bonnallaurent directpredictionofenergydigestibilityfrompoultryfaecesusingnearinfraredspectroscopy
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spelling dig-cirad-fr-5310032024-01-28T14:19:59Z http://agritrop.cirad.fr/531003/ http://agritrop.cirad.fr/531003/ Direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy. Bastianelli Denis, Carré Bernard, Mignon-Grasteau Sandrine, Bonnal Laurent, Davrieux Fabrice. 2007. In : Near infrared spectroscopy : Proceedings of the 12th International Conference, Auckland, New Zealand, 9th - 15th April 2005. Burling-Claridge G.R. (ed.), Holroyd S.E. (ed.), Sumner R.M.W. (ed.). NIRCE. Chichester : IM Publications, 626-629. ISBN 978-0-473-11646-0|978-0-473-11746-7 International Conference on Near Infrared Spectroscopy. 12, Auckland, Nouvelle-Zélande, 9 Avril 2005/15 Avril 2005. Direct prediction of energy digestibility from poultry faeces using near infrared spectroscopy Bastianelli, Denis Carré, Bernard Mignon-Grasteau, Sandrine Bonnal, Laurent Davrieux, Fabrice eng 2007 IM Publications Near infrared spectroscopy : Proceedings of the 12th International Conference, Auckland, New Zealand, 9th - 15th April 2005 L51 - Physiologie animale - Nutrition alimentation des animaux volaille composition chimique fèces produit alimentaire http://aims.fao.org/aos/agrovoc/c_429 http://aims.fao.org/aos/agrovoc/c_6145 http://aims.fao.org/aos/agrovoc/c_1794 http://aims.fao.org/aos/agrovoc/c_2772 http://aims.fao.org/aos/agrovoc/c_3032 In animal production digestibility is an essential factor of the valorization of diets. The main factor of variation of digestibility is the characteristics of the feed itself. In recent experiments we have shown that there are also differences between animals for the ability to digest diets. Such genetic experiments require individual digestibility trials, involving a considerable number of faeces analyses. Therefore we now use routinely NIRS for prediction of faeces chemical composition: DM (Dry matter), GE (Gross energy), Protein, Starch , Fat. A step further in the use of NIRS would be the direct prediction of digestibility by NIRS, because it would avoid the precise registration of feed intake and excreta quantities, which would considerably simplify experimental work. In the framework of an experiment on genetic selection in poultry, we measured DM and GE digestibility values, and the corresponding faeces samples were kept for NIRS analysis. This resulted in 240 faeces samples of known DM (dDM) and 173 of known GE (dGE) digestibilities. Diffuse reflectance NIRS spectra of samples were measured on a FOSS NIRSystem 6500 spectrometer. Calibration equations were built after mathematical pre-processing of spectral data (SNV and detrend with 2nd derivative of spectra) without visible wavelengths. Partial Least Squares regression (modified PLS in WINISI software) was found to be the most efficient method for calibrations. Equations obtained had R2, SEC and SECV values of 0.97, 2.11, 2.67 for dDM and 0.99, 1.31, 1.93 for dGE. The corresponding SD/SECV rations were 4.6 and 5.8 respectively. A validation was run by removing 60 samples (randomly chosen) from the database and predict them with equations developed on remaining samples. SEP values obtained were 3.82 and 2.18 respectively, which shows the robustness of equations. These results confirm that the digestibility of DM and GE can be predicted with a sufficient accuracy directly from poultry faeces in our experiments. It must be underlined that our experimental design aimed to study only the animal part of digestibility, therefore using the same feed for all animals. Prediction of digestibility of different feed is therefore not possible from this particular equation and will have to be calibrated from variable diets. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/531003/1/document_531003.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=190419 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=199976