Simplified estimation of forage degradability in the rumen assuming zero-order degradation kinetics

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Simplified estimation of forage degradability in the rumen assuming zero-order degradation kinetics. / Lopez, S.; Sanderson, Ruth; France, Jim; Dhanoa, M. S.

In: Journal of Agricultural Science, Vol. 147, No. 3, 01.06.2009, p. 225-240.

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Lopez, S, Sanderson, R, France, J & Dhanoa, MS 2009, 'Simplified estimation of forage degradability in the rumen assuming zero-order degradation kinetics', Journal of Agricultural Science, vol. 147, no. 3, pp. 225-240. https://doi.org/10.1017/S0021859608008241

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Lopez, S. ; Sanderson, Ruth ; France, Jim ; Dhanoa, M. S. / Simplified estimation of forage degradability in the rumen assuming zero-order degradation kinetics. In: Journal of Agricultural Science. 2009 ; Vol. 147, No. 3. pp. 225-240.

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@article{6dfcc1ab4dd64fd3b7fb466f9fe3ba18,
title = "Simplified estimation of forage degradability in the rumen assuming zero-order degradation kinetics",
abstract = "In the present paper, a simplified procedure using few in situ data points is derived and then evaluated (using a large database) against reference values estimated with the standard nylon bag first-order kinetics model. The procedure proposed involved a two-stage mathematical process, with a statistical prediction of some degradation parameters (such as lag time) and then a kinetic model derived by assuming degradation follows zero-order kinetics to determine effective degradability in the rumen (E). In addition to the estimation of washout fraction and discrete lag, which is common to both procedures, the simplified procedure requires measurement of dry matter losses at one incubation time point only. Thus, interference of the animal rumen will be much reduced, which will lead to increased capacity for feed evaluation. Calibration of the zero-order model against the first-order model showed that suitable estimates of E can be obtained with disappearance at 24, 48 or 72 h as the single incubation end time point. The strength of the calibration is such that an end incubation time point as low as 24 h may be sufficient, which may reduce substantially the total incubation time required and thus the impact on the experimental animal. Relevant regression equations to predict reference values of parameters such as lag time or E are also developed and validated.",
author = "S. Lopez and Ruth Sanderson and Jim France and Dhanoa, {M. S.}",
note = "Dhanoa, M. S., Lopez, S., Sanderson, R., France, J. (2009). Simplified estimation of forage degradability in the rumen assuming zero-order degradation kinetics. Journal of Agricultural Science, 147, (3), 225-240. Sponsorship: Canada Research Chairs Programme IMPF: 01.66 RONO: 3130 ",
year = "2009",
month = jun,
day = "1",
doi = "10.1017/S0021859608008241",
language = "English",
volume = "147",
pages = "225--240",
journal = "Journal of Agricultural Science",
issn = "0021-8596",
publisher = "Cambridge University Press",
number = "3",

}

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TY - JOUR

T1 - Simplified estimation of forage degradability in the rumen assuming zero-order degradation kinetics

AU - Lopez, S.

AU - Sanderson, Ruth

AU - France, Jim

AU - Dhanoa, M. S.

N1 - Dhanoa, M. S., Lopez, S., Sanderson, R., France, J. (2009). Simplified estimation of forage degradability in the rumen assuming zero-order degradation kinetics. Journal of Agricultural Science, 147, (3), 225-240. Sponsorship: Canada Research Chairs Programme IMPF: 01.66 RONO: 3130

PY - 2009/6/1

Y1 - 2009/6/1

N2 - In the present paper, a simplified procedure using few in situ data points is derived and then evaluated (using a large database) against reference values estimated with the standard nylon bag first-order kinetics model. The procedure proposed involved a two-stage mathematical process, with a statistical prediction of some degradation parameters (such as lag time) and then a kinetic model derived by assuming degradation follows zero-order kinetics to determine effective degradability in the rumen (E). In addition to the estimation of washout fraction and discrete lag, which is common to both procedures, the simplified procedure requires measurement of dry matter losses at one incubation time point only. Thus, interference of the animal rumen will be much reduced, which will lead to increased capacity for feed evaluation. Calibration of the zero-order model against the first-order model showed that suitable estimates of E can be obtained with disappearance at 24, 48 or 72 h as the single incubation end time point. The strength of the calibration is such that an end incubation time point as low as 24 h may be sufficient, which may reduce substantially the total incubation time required and thus the impact on the experimental animal. Relevant regression equations to predict reference values of parameters such as lag time or E are also developed and validated.

AB - In the present paper, a simplified procedure using few in situ data points is derived and then evaluated (using a large database) against reference values estimated with the standard nylon bag first-order kinetics model. The procedure proposed involved a two-stage mathematical process, with a statistical prediction of some degradation parameters (such as lag time) and then a kinetic model derived by assuming degradation follows zero-order kinetics to determine effective degradability in the rumen (E). In addition to the estimation of washout fraction and discrete lag, which is common to both procedures, the simplified procedure requires measurement of dry matter losses at one incubation time point only. Thus, interference of the animal rumen will be much reduced, which will lead to increased capacity for feed evaluation. Calibration of the zero-order model against the first-order model showed that suitable estimates of E can be obtained with disappearance at 24, 48 or 72 h as the single incubation end time point. The strength of the calibration is such that an end incubation time point as low as 24 h may be sufficient, which may reduce substantially the total incubation time required and thus the impact on the experimental animal. Relevant regression equations to predict reference values of parameters such as lag time or E are also developed and validated.

U2 - 10.1017/S0021859608008241

DO - 10.1017/S0021859608008241

M3 - Article

VL - 147

SP - 225

EP - 240

JO - Journal of Agricultural Science

JF - Journal of Agricultural Science

SN - 0021-8596

IS - 3

ER -

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