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Prediction of the feeding value of maize silages by chemical parameters, in vitro digestibility and NIRS. / De Boever, Johan; Cottyn, BG; De Brabander, Daniël; Boucque, CV.

In: Animal Feed Science and Technology, Vol. 66, Nr. 1-4, 01.05.1997, blz. 211-222.

Onderzoeksoutput: Bijdrage aan tijdschriftA1: Web of Science-artikel

Harvard

De Boever, J, Cottyn, BG, De Brabander, D & Boucque, CV 1997, 'Prediction of the feeding value of maize silages by chemical parameters, in vitro digestibility and NIRS', Animal Feed Science and Technology, vol. 66, nr. 1-4, blz. 211-222. https://doi.org/10.1016/S0377-8401(96)01101-7

APA

De Boever, J., Cottyn, BG., De Brabander, D., & Boucque, CV. (1997). Prediction of the feeding value of maize silages by chemical parameters, in vitro digestibility and NIRS. Animal Feed Science and Technology, 66(1-4), 211-222. https://doi.org/10.1016/S0377-8401(96)01101-7

Vancouver

De Boever J, Cottyn BG, De Brabander D, Boucque CV. Prediction of the feeding value of maize silages by chemical parameters, in vitro digestibility and NIRS. Animal Feed Science and Technology. 1997 mei 1;66(1-4):211-222. https://doi.org/10.1016/S0377-8401(96)01101-7

Author

De Boever, Johan ; Cottyn, BG ; De Brabander, Daniël ; Boucque, CV. / Prediction of the feeding value of maize silages by chemical parameters, in vitro digestibility and NIRS. In: Animal Feed Science and Technology. 1997 ; Vol. 66, Nr. 1-4. blz. 211-222.

Bibtex

@article{456306b6e4fd490c840cd226344fb9e0,
title = "Prediction of the feeding value of maize silages by chemical parameters, in vitro digestibility and NIRS",
abstract = "Fifty maize silages with known in vivo organic matter digestibility (VOMD) were used to compare the potential of chemical parameters (dry matter (DM), crude protein (CP), crude fibre (CF), crude fat (Cfat), ash, neutral detergent fibre (NDF), acid detergent fibre (ADF), acid detergent lignin (ADL), starch (STA), in vitro digestibility (with rumen fluid (RFOMD) or commercial cellulases (COMD)) and NLRS (monochromator: 1100-2500 nm) in predicting VOMD and calculated metabolizable (ME) and net energy lactation (NEL). A second series of 51 maize silages with digestibility and energy value based on RFOMD served as test set. Further, the possibilities of NIRS to predict chemical composition and calculated protein value (DVE and OEB) were investigated. NIRS-equations, developed by partial least squares analysis, were tested by internal and external validation. The correlation with VOMD was highest for COMD (r = 0.82), followed by RFOMD (0.81), ADF (-0.77) and NIRS-predicted VOMD (0.75). ADL could explain some supplemental variance in VOMD besides ADF and RFOMD, but not with COMD. Multiple linear regressions to predict ME and NEL, irrespective of being based on chemical parameters, RFOMD or COMD had similar residual standard deviations of about 0.21 and 0.16 MJ kg(-1) DM, respectively. With NIRS the standard error of prediction amounted to 0.28 and 0.20 MJ kg(-1) DM, respectively. The relative ability of NIRS to predict chemical composition was very good for residual moisture, STA, ADF, NDF and CP, moderate for CF and ADL and low for ash. The prediction potential for OEB was moderate and nihil for the little varying DVE-content. (C) 1997 Elsevier Science B.V.",
author = "{De Boever}, Johan and BG Cottyn and {De Brabander}, Dani{\"e}l and CV Boucque",
year = "1997",
month = "5",
day = "1",
doi = "10.1016/S0377-8401(96)01101-7",
language = "English",
volume = "66",
pages = "211--222",
journal = "Animal Feed Science and Technology",
issn = "0377-8401",
publisher = "ELSEVIER SCIENCE BV",
number = "1-4",

}

RIS

TY - JOUR

T1 - Prediction of the feeding value of maize silages by chemical parameters, in vitro digestibility and NIRS

AU - De Boever, Johan

AU - Cottyn, BG

AU - De Brabander, Daniël

AU - Boucque, CV

PY - 1997/5/1

Y1 - 1997/5/1

N2 - Fifty maize silages with known in vivo organic matter digestibility (VOMD) were used to compare the potential of chemical parameters (dry matter (DM), crude protein (CP), crude fibre (CF), crude fat (Cfat), ash, neutral detergent fibre (NDF), acid detergent fibre (ADF), acid detergent lignin (ADL), starch (STA), in vitro digestibility (with rumen fluid (RFOMD) or commercial cellulases (COMD)) and NLRS (monochromator: 1100-2500 nm) in predicting VOMD and calculated metabolizable (ME) and net energy lactation (NEL). A second series of 51 maize silages with digestibility and energy value based on RFOMD served as test set. Further, the possibilities of NIRS to predict chemical composition and calculated protein value (DVE and OEB) were investigated. NIRS-equations, developed by partial least squares analysis, were tested by internal and external validation. The correlation with VOMD was highest for COMD (r = 0.82), followed by RFOMD (0.81), ADF (-0.77) and NIRS-predicted VOMD (0.75). ADL could explain some supplemental variance in VOMD besides ADF and RFOMD, but not with COMD. Multiple linear regressions to predict ME and NEL, irrespective of being based on chemical parameters, RFOMD or COMD had similar residual standard deviations of about 0.21 and 0.16 MJ kg(-1) DM, respectively. With NIRS the standard error of prediction amounted to 0.28 and 0.20 MJ kg(-1) DM, respectively. The relative ability of NIRS to predict chemical composition was very good for residual moisture, STA, ADF, NDF and CP, moderate for CF and ADL and low for ash. The prediction potential for OEB was moderate and nihil for the little varying DVE-content. (C) 1997 Elsevier Science B.V.

AB - Fifty maize silages with known in vivo organic matter digestibility (VOMD) were used to compare the potential of chemical parameters (dry matter (DM), crude protein (CP), crude fibre (CF), crude fat (Cfat), ash, neutral detergent fibre (NDF), acid detergent fibre (ADF), acid detergent lignin (ADL), starch (STA), in vitro digestibility (with rumen fluid (RFOMD) or commercial cellulases (COMD)) and NLRS (monochromator: 1100-2500 nm) in predicting VOMD and calculated metabolizable (ME) and net energy lactation (NEL). A second series of 51 maize silages with digestibility and energy value based on RFOMD served as test set. Further, the possibilities of NIRS to predict chemical composition and calculated protein value (DVE and OEB) were investigated. NIRS-equations, developed by partial least squares analysis, were tested by internal and external validation. The correlation with VOMD was highest for COMD (r = 0.82), followed by RFOMD (0.81), ADF (-0.77) and NIRS-predicted VOMD (0.75). ADL could explain some supplemental variance in VOMD besides ADF and RFOMD, but not with COMD. Multiple linear regressions to predict ME and NEL, irrespective of being based on chemical parameters, RFOMD or COMD had similar residual standard deviations of about 0.21 and 0.16 MJ kg(-1) DM, respectively. With NIRS the standard error of prediction amounted to 0.28 and 0.20 MJ kg(-1) DM, respectively. The relative ability of NIRS to predict chemical composition was very good for residual moisture, STA, ADF, NDF and CP, moderate for CF and ADL and low for ash. The prediction potential for OEB was moderate and nihil for the little varying DVE-content. (C) 1997 Elsevier Science B.V.

U2 - 10.1016/S0377-8401(96)01101-7

DO - 10.1016/S0377-8401(96)01101-7

M3 - A1: Web of Science-article

VL - 66

SP - 211

EP - 222

JO - Animal Feed Science and Technology

JF - Animal Feed Science and Technology

SN - 0377-8401

IS - 1-4

ER -