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Cited by 565

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Computerized Monitoring of Gas Production to Measure Forage Digestion In Vitro

Open access
Pell, A.N., Schofield, P.·1993·Journal of Dairy Science

Abstract

The techniques reported in this paper were developed to facilitate the study of the kinetics of forage digestion in vitro by measuring gas production. Fiber disappearance as a measure of the reaction rate has been replaced by the use of computerized pressure sensors to monitor the gaseous products (CO2, CH4) of microbial metabolism. The recording system described requires a computer, pressure sensors, an interface card, and appropriate software to monitor gas production continuously. Several variables, including sample size, inoculum size, vessel size, and type of pressure sensor, have been investigated to determine ranges within which gas production can be measured accurately, and the reproducibility of the results has been established. Because this technique uses small (100-mg) samples, a modified NDF method has been introduced that allows determination of extent of digestion at the end of an incubation in which gas production has been monitored. A strong linear relationship existed between NDF disappearance and gas production.

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Crossref · 10.3168/jds.s0022-0302(93)77435-4

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Metadata

Authors
Pell, A. N., & Schofield, P.
Venue
Journal of Dairy Science
Published
1993-04
Volume
76
Issue
4
Pages
1063-1073
ISSN
0022-0302 (ISSN-L)
OpenAlex
W2063393684
Cited by
565
References
15
FWCI
15.62
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Computerized Monitoring of Gas Production to Measure Forage Digestion In Vitro. https://app.cochat.ai/papers/10.3168/jds.s0022-0302(93)77435-4
The paper
Pell, A. N., & Schofield, P. (1993). Computerized Monitoring of Gas Production to Measure Forage Digestion In Vitro. Journal of Dairy Science. https://doi.org/10.3168/jds.s0022-0302(93)77435-4

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.