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The use of NIRS to predict the chemical composition and the energy value of compound feeds for cattle. / De Boever, Johan; Cottyn, BG; Vanacker, José; Boucque, CV.

In: Animal Feed Science and Technology, Vol. 51, Nr. 3-4, 01.02.1995, blz. 243-253.

Onderzoeksoutput: Bijdrage aan tijdschriftA1: Web of Science-artikel

Harvard

De Boever, J, Cottyn, BG, Vanacker, J & Boucque, CV 1995, 'The use of NIRS to predict the chemical composition and the energy value of compound feeds for cattle', Animal Feed Science and Technology, vol. 51, nr. 3-4, blz. 243-253. https://doi.org/10.1016/0377-8401(94)00695-6

APA

De Boever, J., Cottyn, BG., Vanacker, J., & Boucque, CV. (1995). The use of NIRS to predict the chemical composition and the energy value of compound feeds for cattle. Animal Feed Science and Technology, 51(3-4), 243-253. https://doi.org/10.1016/0377-8401(94)00695-6

Vancouver

Author

De Boever, Johan ; Cottyn, BG ; Vanacker, José ; Boucque, CV. / The use of NIRS to predict the chemical composition and the energy value of compound feeds for cattle. In: Animal Feed Science and Technology. 1995 ; Vol. 51, Nr. 3-4. blz. 243-253.

Bibtex

@article{f13c03432d4342279ee611b93cd44d94,
title = "The use of NIRS to predict the chemical composition and the energy value of compound feeds for cattle",
abstract = "By means of a scanning monochromator and partial least-squares analysis, near-IR reflectance spectroscopy (NIRS) calibrations were developed to predict the chemical composition and the energy value of two different sets of compound feeds for cattle. The first set contained 179 compounds of heterogeneous nature, for which the energy value was calculated from in vivo digestibility. The second set consisted of 163 commercial dairy compounds for which the energy value was predicted from enzymatic digestibility. Spectral and reference data were highly correlated for all parameters, except for ash. For the first set, the root mean square error of prediction (RMSEP) amounted to 0.5{\%} (percentage units) for moisture, 1.4{\%} on dry matter basis (DM) for crude protein, 1.4{\%} on DM for crude fibre, 0.7{\%} on DM for crude fat, 2.1{\%} for in vivo digestibility, 0.37 MJ kg-1 DM for metabolizable energy (ME) and 0.27 MJ kg-1 DM for net energy lactation (NEL). Prediction of ME and NEL with regression equations based on enzymatic digestibility was somewhat more accurate, with an RMSEP of 0.30 MJ kg-1 DM and 0.22 MJ kg-1 DM, respectively. For the more homogeneous second set, the RMSEP was lower for all parameters: 0.3{\%} for moisture, 1.1{\%} on DM for crude protein, 0.9{\%} on DM for crude fibre, 0.3{\%} on DM for crude fat, 1.3{\%} for enzymatic digestibility, 0.30 MJ kg-1 DM for ME and 0.18 MJ kg-1 DM for NEL. It was proved that calibrations derived from energy values predicted from enzymatic digestibility were hardly less accurate than those derived from in vivo data. Calibrations based on the currently used NIRS instrument with 19 filters gave similar results to those based on the full spectrum for moisture, crude protein and crude fat, were less accurate for crude fibre, and clearly failed for energy evaluation. It was concluded that NIRS can be used as a screening method for the control of the chemical composition and the energy value of compound feeds for cattle.",
author = "{De Boever}, Johan and BG Cottyn and Jos{\'e} Vanacker and CV Boucque",
year = "1995",
month = "2",
day = "1",
doi = "10.1016/0377-8401(94)00695-6",
language = "English",
volume = "51",
pages = "243--253",
journal = "Animal Feed Science and Technology",
issn = "0377-8401",
publisher = "ELSEVIER SCIENCE BV",
number = "3-4",

}

RIS

TY - JOUR

T1 - The use of NIRS to predict the chemical composition and the energy value of compound feeds for cattle

AU - De Boever, Johan

AU - Cottyn, BG

AU - Vanacker, José

AU - Boucque, CV

PY - 1995/2/1

Y1 - 1995/2/1

N2 - By means of a scanning monochromator and partial least-squares analysis, near-IR reflectance spectroscopy (NIRS) calibrations were developed to predict the chemical composition and the energy value of two different sets of compound feeds for cattle. The first set contained 179 compounds of heterogeneous nature, for which the energy value was calculated from in vivo digestibility. The second set consisted of 163 commercial dairy compounds for which the energy value was predicted from enzymatic digestibility. Spectral and reference data were highly correlated for all parameters, except for ash. For the first set, the root mean square error of prediction (RMSEP) amounted to 0.5% (percentage units) for moisture, 1.4% on dry matter basis (DM) for crude protein, 1.4% on DM for crude fibre, 0.7% on DM for crude fat, 2.1% for in vivo digestibility, 0.37 MJ kg-1 DM for metabolizable energy (ME) and 0.27 MJ kg-1 DM for net energy lactation (NEL). Prediction of ME and NEL with regression equations based on enzymatic digestibility was somewhat more accurate, with an RMSEP of 0.30 MJ kg-1 DM and 0.22 MJ kg-1 DM, respectively. For the more homogeneous second set, the RMSEP was lower for all parameters: 0.3% for moisture, 1.1% on DM for crude protein, 0.9% on DM for crude fibre, 0.3% on DM for crude fat, 1.3% for enzymatic digestibility, 0.30 MJ kg-1 DM for ME and 0.18 MJ kg-1 DM for NEL. It was proved that calibrations derived from energy values predicted from enzymatic digestibility were hardly less accurate than those derived from in vivo data. Calibrations based on the currently used NIRS instrument with 19 filters gave similar results to those based on the full spectrum for moisture, crude protein and crude fat, were less accurate for crude fibre, and clearly failed for energy evaluation. It was concluded that NIRS can be used as a screening method for the control of the chemical composition and the energy value of compound feeds for cattle.

AB - By means of a scanning monochromator and partial least-squares analysis, near-IR reflectance spectroscopy (NIRS) calibrations were developed to predict the chemical composition and the energy value of two different sets of compound feeds for cattle. The first set contained 179 compounds of heterogeneous nature, for which the energy value was calculated from in vivo digestibility. The second set consisted of 163 commercial dairy compounds for which the energy value was predicted from enzymatic digestibility. Spectral and reference data were highly correlated for all parameters, except for ash. For the first set, the root mean square error of prediction (RMSEP) amounted to 0.5% (percentage units) for moisture, 1.4% on dry matter basis (DM) for crude protein, 1.4% on DM for crude fibre, 0.7% on DM for crude fat, 2.1% for in vivo digestibility, 0.37 MJ kg-1 DM for metabolizable energy (ME) and 0.27 MJ kg-1 DM for net energy lactation (NEL). Prediction of ME and NEL with regression equations based on enzymatic digestibility was somewhat more accurate, with an RMSEP of 0.30 MJ kg-1 DM and 0.22 MJ kg-1 DM, respectively. For the more homogeneous second set, the RMSEP was lower for all parameters: 0.3% for moisture, 1.1% on DM for crude protein, 0.9% on DM for crude fibre, 0.3% on DM for crude fat, 1.3% for enzymatic digestibility, 0.30 MJ kg-1 DM for ME and 0.18 MJ kg-1 DM for NEL. It was proved that calibrations derived from energy values predicted from enzymatic digestibility were hardly less accurate than those derived from in vivo data. Calibrations based on the currently used NIRS instrument with 19 filters gave similar results to those based on the full spectrum for moisture, crude protein and crude fat, were less accurate for crude fibre, and clearly failed for energy evaluation. It was concluded that NIRS can be used as a screening method for the control of the chemical composition and the energy value of compound feeds for cattle.

U2 - 10.1016/0377-8401(94)00695-6

DO - 10.1016/0377-8401(94)00695-6

M3 - A1: Web of Science-article

VL - 51

SP - 243

EP - 253

JO - Animal Feed Science and Technology

JF - Animal Feed Science and Technology

SN - 0377-8401

IS - 3-4

ER -