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Record W2075741877 · doi:10.4141/a01-054

Validation of the sulphur hexafluoride (SF<sub>6</sub>) tracer gas technique for measurement of methane and carbon dioxide production by cattle

2002· article· en· W2075741877 on OpenAlexvenueno aff
D. A. Boadi, K. M. Wittenberg, A. D. Kennedy

Bibliographic record

VenueCanadian Journal of Animal Science · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsTRACERCarbon dioxideChemistryAnimal scienceRumenSulfur hexafluorideMethaneRadiochemistryAnalytical Chemistry (journal)Environmental chemistryFermentationBiochemistryBiologyPhysics

Abstract

fetched live from OpenAlex

Methane (CH 4 ) and carbon dioxide (CO 2 ) production from six crossbred yearling beef heifers (400 ± 13.0 kg) were measured, using the sulphur hexafluoride (SF 6 ) tracer gas technique (Tracer) and open-circuit hood calorimetry (Cal) to validate the former in estimating rumen CH 4 and CO 2 production in the field. Animals were individually fed a diet consisting of 50% barley concentrate and 50% alfalfa cubes at 1.3 &amp;times ;maintenance requirements daily. Hifers were divided into two groups for individual animal 24- h gas measurements by each method. Each group of heifers was rotated between the Cal and Tracer techniques for 6 consecutive days in an incomplete block design. Methane production ranged from 108 to 145 L d -1 (mean 130 ± 4.0 L d -1 ) using the Cal technique, and 90 to 167 L d -1 (mean 137 ± 4.0 L d -1 ) using the Tracer technique. The mean CH 4 production (L d -1 ) was not different (P = 0.24) between the two methods. Carbon dioxide production with the Tracer technique was 20% higher than CO 2 production with the Cal technique (P &lt; 0.01). The range of CO 2 production was 1574 to 2049 L d -1 (mean 1892 ± 74.0 L d -1 ) by Cal, and 1541 to 3330 L d -1 (mean 2353 ± 74.0 L d -1 ) by Tracer. Day-to-day variation in CH 4 production was not different within each method (P &gt; 0.05); however, animal-to-animal variation (11.7%) was significant for the Tracer technique (P = 0.04), but not for the Cal technique (P = 0.53). Comparison of the equality of variance between the two methods showed that there were no differences in variations (P &gt; 0.05) between Cal and Tracer for CH 4 production. On the other hand, variations in CO 2 production were not equal (P &gt; 0.05) between methods. Day-to-day variation in CO 2 production was significant using Cal, but not Tracer (P &gt; 0.05). Animal-to-animal variation in CO 2 production was 1.6 and 11.8% by Cal and Tracer techniques, respectively. It can be concluded that the SF 6 tracer technique accurately estimated rumen CH 4 production, but CO 2 production was 20% higher. The study suggests that for CH 4 measurements using the SF 6 tracer technique, more animal numbers are needed than for Cal to reduce animal-to-animal variation. Key words: Methane, carbon dioxide, SF 6 tracer technique, validation, cattle

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.142

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.219
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations90
Published2002
Admission routes1
Has abstractyes

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