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Record W2924487414 · doi:10.15232/aas.2018-01798

Invited Review: Growth, voluntary intake, and digestion and metabolism of North American bison

2019· article· en· W2924487414 on OpenAlexaffabout
G. B. Huntington, Murray R. Woodbury, V. L. Anderson

Bibliographic record

VenueApplied Animal Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBison bisonGrazingAnimal scienceHerdBiologyForageDigestion (alchemy)TurnoverLivestockAgronomyEcologyChemistry

Abstract

fetched live from OpenAlex

Published literature on growth, voluntary intake, and nutrient digestion and metabolism of North American bison (Bison bison) was reviewed to create an information base for implementing management strategies. The information came from refereed scientific journals, published textbooks, experiment station reports, and PhD dissertations. After narrowly avoiding extinction in the 1880s, about 400,000 North American bison are in the United States and Canada today. Voluntary intake and growth are depressed during the winter and rebound during the following spring and summer. Domestic cattle and bison share similar grazing behavior, intake capacity, and ruminal fermentation characteristics. Greater DM digestion coefficients for bison compared with cattle appear to result from less DMI for bison than cattle in the studies. With the exceptions of red blood cell quantity and characteristics, and greater glucose and BUN concentrations, bison and cattle have similar blood histology profiles, enzyme activities, and mineral and metabolite concentrations. Available forage biomass and nutritive value, not capacity to eat, will limit acquisition of needed nutrition by grazing bison. Management of domestic herds should take into consideration the annual “winter slump” in intake and growth. Any putative advantage in fiber fermentation capacity in bison compared with cattle does not appear to be due to differences in ruminal microbial populations.In feedlots, bison consumed feed DM equal to about 2.5% of BW, gained 750 g/d, and converted feed to gain at 9% efficiency.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.010
GPT teacher head0.213
Teacher spread0.203 · 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 designObservational
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

Citations11
Published2019
Admission routes2
Has abstractyes

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