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Record W2553561887 · doi:10.2527/jam2016-1649

1649 Effect of ruminal inoculum from bison or cattle on in vitro gas production, feed digestibility, and responses to exogenous enzyme supplementation

2016· article· en· W2553561887 on OpenAlexaff
Zhixiong He, Gabriel O Ribeiro, Virgil R. Bremer, K. A. Beauchemin, Tim A. McAllister, Wenzhu Yang

Bibliographic record

VenueJournal of Animal Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsRumenXylanaseStrawHayAnimal scienceFermentationDistillers grainsChemistryBeef cattleSubstrate (aquarium)Food scienceBiologyAgronomyEnzymeBiochemistry

Abstract

fetched live from OpenAlex

The objective of this study was to evaluate the effects of increasing the proportion of inoculum from bison vs. cattle with and without feed enzyme (FE) supplementation on in vitro fermentation of barley straw (BS), alfalfa hay (AH), and wheat dried distillers grain with solubles (DG). Two batch culture runs were conducted for each substrate examined. Barley straw and AH were ground through a 1-mm screen and DG was incubated as-is. In run 1, inocula were prepared by combining rumen fluid (vol/vol) of cattle fed a diet containing 70% BS and 30% concentrate (DM basis) and bison rumen fluid (unknown diet) at ratios of 100:0, 67:33, 33:67, and 0:100, respectively. The substrates were incubated for 96 h to determine gas production (GP) kinetics with gas pressure recording at 3, 6, 9, 12, 24, 36, 48, 72, and 96 h. Additionally, DM disappearance (DMD) was determined in run 2. Each run was a completely randomized design without or with FE addition at a rate of 2.0 μL/g substrate DM. The FE was a xylanase–glucanase commercial blend. Asymptotic GP (ml/g DM) of BS (254) and AH (263) was not affected, whereas that of DG responded quadratically (244, 240, 238, and 260; P < 0.04) with increasing bison inoculum. Rate of GP (%/h) also responded quadratically for BS (1.6, 1.6, 1.2, and 1.7%/h; P < 0.01) and AH (3.0, 3.0, 2.7, and 3.0%/h; P < 0.03) with increasing bison inoculum. Lag time of GP linearly (P < 0.01) decreased for BS (0.58, 0.93, 0.22, and 0.07 h), AH (0.63, 0.61, 0.29, and 0 h) and DG (0.21, 0.64, 0.11, and 0 h) with increasing bison inoculum. A quadratic (P < 0.02) response of DMD (31, 36, 35, and 34%) of BS to increasing bison inoculum was observed, whereas DMD of AH (55, 54, 51, and 51%) and DG (59, 58, 56, and 56%) linearly (P < 0.01) decreased. Addition of FE improved (P < 0.05) DMD of DG. Compared to cattle inoculum, bison inoculum did not enhance in vitro GP or DMD of the substrates examined. However, the mixture of cattle and bison rumen inocula did appear to synergistically reduce the lag time of GP and improve the DMD of BS. It suggests that the cattle rumen inoculum may lack certain enzymes that were present in the bison inoculum to digest BS, and that these enzymes were not provided by the FE examined.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.288
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2016
Admission routes1
Has abstractyes

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