"Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy
The objective of the study was to evaluate performance of classic (global) and innovative (local) calibration techniques to monitor cattle diet, based on fecal near infrared reflectance spectroscopy (NIRS). A 3-yr on-farm survey (2005-2008) was carried out in Vietnam and La Reunion Island to collect animal, feed intake, and feces excretion data. Feed and feces were scanned by a Foss NIRsystem 5000 monochromator (Foss, Hillerød, Denmark) to estimate diet characteristics and nutrient digestibility. A data set including 1,322 diet-fecal pairs was built and used to perform global and local calibrations. Global equations gave satisfactory accuracy [coefficient of determination (R2) >0.8, 10% ? relative standard error of prediction (RSEP) ?20%], whereas local equations gave good accuracy (R2 >0.8, RSEP <10%) or excellent accuracy (R2 >0.9, RSEP <10%) for the prediction of diet intake, quality, and digestibility. When validating the equations using the external individual data, both techniques were robust, with similar RSEP (8%) and R2 (0.82) values. The predictive performance of global and local equations was improved (RSEP = 5% and R2 = 0.90) when averaged animal data from farm, visit, and similar milk production were used. In particular, local equations reduced RSEP by 43% and increased R2 by 15%, on average, compared with those obtained from individual data. The low RSEP (4%), high R2 (0.96), and good ratio performance deviation (RPD = 5) illustrated the excellent accuracy and robustness of the local equations. Findings suggest the ability of fecal NIRS to successfully and more accurately predict diet properties (intake, quality, and digestibility) with local calibration techniques compared with classic global techniques, especially on an averaged data set. Local calibration techniques represent an alternative promising method and potentially a decision support tool to decide whether diets meet dairy cattle requirements or need to be modified.
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dig-cirad-fr-5693012024-01-28T21:26:47Z http://agritrop.cirad.fr/569301/ http://agritrop.cirad.fr/569301/ "Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy. Tran H., Salgado Paulo, Tillard Emmanuel, Dardenne Pierre, Nguyen X.T., Lecomte Philippe. 2010. Journal of Dairy Science, 93 (10) : 4961-4975.https://doi.org/10.3168/jds.2008-1893 <https://doi.org/10.3168/jds.2008-1893> "Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy Tran, H. Salgado, Paulo Tillard, Emmanuel Dardenne, Pierre Nguyen, X.T. Lecomte, Philippe eng 2010 Journal of Dairy Science L02 - Alimentation animale L51 - Physiologie animale - Nutrition Q54 - Composition des aliments pour animaux U30 - Méthodes de recherche bovin laitier régime alimentaire aliment pour animaux qualité valeur nutritive alimentation des animaux enquête sur les exploitations agricoles fèces composition chimique technique de prévision spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2108 http://aims.fao.org/aos/agrovoc/c_2261 http://aims.fao.org/aos/agrovoc/c_2843 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_5278 http://aims.fao.org/aos/agrovoc/c_429 http://aims.fao.org/aos/agrovoc/c_28693 http://aims.fao.org/aos/agrovoc/c_2772 http://aims.fao.org/aos/agrovoc/c_1794 http://aims.fao.org/aos/agrovoc/c_3041 http://aims.fao.org/aos/agrovoc/c_28568 Viet Nam La Réunion France http://aims.fao.org/aos/agrovoc/c_8227 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 The objective of the study was to evaluate performance of classic (global) and innovative (local) calibration techniques to monitor cattle diet, based on fecal near infrared reflectance spectroscopy (NIRS). A 3-yr on-farm survey (2005-2008) was carried out in Vietnam and La Reunion Island to collect animal, feed intake, and feces excretion data. Feed and feces were scanned by a Foss NIRsystem 5000 monochromator (Foss, Hillerød, Denmark) to estimate diet characteristics and nutrient digestibility. A data set including 1,322 diet-fecal pairs was built and used to perform global and local calibrations. Global equations gave satisfactory accuracy [coefficient of determination (R2) >0.8, 10% ? relative standard error of prediction (RSEP) ?20%], whereas local equations gave good accuracy (R2 >0.8, RSEP <10%) or excellent accuracy (R2 >0.9, RSEP <10%) for the prediction of diet intake, quality, and digestibility. When validating the equations using the external individual data, both techniques were robust, with similar RSEP (8%) and R2 (0.82) values. The predictive performance of global and local equations was improved (RSEP = 5% and R2 = 0.90) when averaged animal data from farm, visit, and similar milk production were used. In particular, local equations reduced RSEP by 43% and increased R2 by 15%, on average, compared with those obtained from individual data. The low RSEP (4%), high R2 (0.96), and good ratio performance deviation (RPD = 5) illustrated the excellent accuracy and robustness of the local equations. Findings suggest the ability of fecal NIRS to successfully and more accurately predict diet properties (intake, quality, and digestibility) with local calibration techniques compared with classic global techniques, especially on an averaged data set. Local calibration techniques represent an alternative promising method and potentially a decision support tool to decide whether diets meet dairy cattle requirements or need to be modified. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/569301/1/document_569301.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.3168/jds.2008-1893 10.3168/jds.2008-1893 info:eu-repo/semantics/altIdentifier/doi/10.3168/jds.2008-1893 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.3168/jds.2008-1893 |
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L02 - Alimentation animale L51 - Physiologie animale - Nutrition Q54 - Composition des aliments pour animaux U30 - Méthodes de recherche bovin laitier régime alimentaire aliment pour animaux qualité valeur nutritive alimentation des animaux enquête sur les exploitations agricoles fèces composition chimique technique de prévision spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2108 http://aims.fao.org/aos/agrovoc/c_2261 http://aims.fao.org/aos/agrovoc/c_2843 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_5278 http://aims.fao.org/aos/agrovoc/c_429 http://aims.fao.org/aos/agrovoc/c_28693 http://aims.fao.org/aos/agrovoc/c_2772 http://aims.fao.org/aos/agrovoc/c_1794 http://aims.fao.org/aos/agrovoc/c_3041 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_8227 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 L02 - Alimentation animale L51 - Physiologie animale - Nutrition Q54 - Composition des aliments pour animaux U30 - Méthodes de recherche bovin laitier régime alimentaire aliment pour animaux qualité valeur nutritive alimentation des animaux enquête sur les exploitations agricoles fèces composition chimique technique de prévision spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2108 http://aims.fao.org/aos/agrovoc/c_2261 http://aims.fao.org/aos/agrovoc/c_2843 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_5278 http://aims.fao.org/aos/agrovoc/c_429 http://aims.fao.org/aos/agrovoc/c_28693 http://aims.fao.org/aos/agrovoc/c_2772 http://aims.fao.org/aos/agrovoc/c_1794 http://aims.fao.org/aos/agrovoc/c_3041 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_8227 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 |
spellingShingle |
L02 - Alimentation animale L51 - Physiologie animale - Nutrition Q54 - Composition des aliments pour animaux U30 - Méthodes de recherche bovin laitier régime alimentaire aliment pour animaux qualité valeur nutritive alimentation des animaux enquête sur les exploitations agricoles fèces composition chimique technique de prévision spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2108 http://aims.fao.org/aos/agrovoc/c_2261 http://aims.fao.org/aos/agrovoc/c_2843 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_5278 http://aims.fao.org/aos/agrovoc/c_429 http://aims.fao.org/aos/agrovoc/c_28693 http://aims.fao.org/aos/agrovoc/c_2772 http://aims.fao.org/aos/agrovoc/c_1794 http://aims.fao.org/aos/agrovoc/c_3041 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_8227 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 L02 - Alimentation animale L51 - Physiologie animale - Nutrition Q54 - Composition des aliments pour animaux U30 - Méthodes de recherche bovin laitier régime alimentaire aliment pour animaux qualité valeur nutritive alimentation des animaux enquête sur les exploitations agricoles fèces composition chimique technique de prévision spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2108 http://aims.fao.org/aos/agrovoc/c_2261 http://aims.fao.org/aos/agrovoc/c_2843 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_5278 http://aims.fao.org/aos/agrovoc/c_429 http://aims.fao.org/aos/agrovoc/c_28693 http://aims.fao.org/aos/agrovoc/c_2772 http://aims.fao.org/aos/agrovoc/c_1794 http://aims.fao.org/aos/agrovoc/c_3041 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_8227 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 Tran, H. Salgado, Paulo Tillard, Emmanuel Dardenne, Pierre Nguyen, X.T. Lecomte, Philippe "Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy |
description |
The objective of the study was to evaluate performance of classic (global) and innovative (local) calibration techniques to monitor cattle diet, based on fecal near infrared reflectance spectroscopy (NIRS). A 3-yr on-farm survey (2005-2008) was carried out in Vietnam and La Reunion Island to collect animal, feed intake, and feces excretion data. Feed and feces were scanned by a Foss NIRsystem 5000 monochromator (Foss, Hillerød, Denmark) to estimate diet characteristics and nutrient digestibility. A data set including 1,322 diet-fecal pairs was built and used to perform global and local calibrations. Global equations gave satisfactory accuracy [coefficient of determination (R2) >0.8, 10% ? relative standard error of prediction (RSEP) ?20%], whereas local equations gave good accuracy (R2 >0.8, RSEP <10%) or excellent accuracy (R2 >0.9, RSEP <10%) for the prediction of diet intake, quality, and digestibility. When validating the equations using the external individual data, both techniques were robust, with similar RSEP (8%) and R2 (0.82) values. The predictive performance of global and local equations was improved (RSEP = 5% and R2 = 0.90) when averaged animal data from farm, visit, and similar milk production were used. In particular, local equations reduced RSEP by 43% and increased R2 by 15%, on average, compared with those obtained from individual data. The low RSEP (4%), high R2 (0.96), and good ratio performance deviation (RPD = 5) illustrated the excellent accuracy and robustness of the local equations. Findings suggest the ability of fecal NIRS to successfully and more accurately predict diet properties (intake, quality, and digestibility) with local calibration techniques compared with classic global techniques, especially on an averaged data set. Local calibration techniques represent an alternative promising method and potentially a decision support tool to decide whether diets meet dairy cattle requirements or need to be modified. |
format |
article |
topic_facet |
L02 - Alimentation animale L51 - Physiologie animale - Nutrition Q54 - Composition des aliments pour animaux U30 - Méthodes de recherche bovin laitier régime alimentaire aliment pour animaux qualité valeur nutritive alimentation des animaux enquête sur les exploitations agricoles fèces composition chimique technique de prévision spectroscopie infrarouge http://aims.fao.org/aos/agrovoc/c_2108 http://aims.fao.org/aos/agrovoc/c_2261 http://aims.fao.org/aos/agrovoc/c_2843 http://aims.fao.org/aos/agrovoc/c_6400 http://aims.fao.org/aos/agrovoc/c_5278 http://aims.fao.org/aos/agrovoc/c_429 http://aims.fao.org/aos/agrovoc/c_28693 http://aims.fao.org/aos/agrovoc/c_2772 http://aims.fao.org/aos/agrovoc/c_1794 http://aims.fao.org/aos/agrovoc/c_3041 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_8227 http://aims.fao.org/aos/agrovoc/c_6543 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Tran, H. Salgado, Paulo Tillard, Emmanuel Dardenne, Pierre Nguyen, X.T. Lecomte, Philippe |
author_facet |
Tran, H. Salgado, Paulo Tillard, Emmanuel Dardenne, Pierre Nguyen, X.T. Lecomte, Philippe |
author_sort |
Tran, H. |
title |
"Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy |
title_short |
"Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy |
title_full |
"Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy |
title_fullStr |
"Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy |
title_full_unstemmed |
"Global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy |
title_sort |
"global" and "local" predictions of dairy diet nutritional quality using near infrared reflectance spectroscopy |
url |
http://agritrop.cirad.fr/569301/ http://agritrop.cirad.fr/569301/1/document_569301.pdf |
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