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Record W2144251147 · doi:10.4141/a01-070

Influence of winter weather and shelter on activity patterns of beef cows

2002· article· en· W2144251147 on OpenAlexvenueno aff
Bret E. Olson, Roseann T. Wallander

Bibliographic record

VenueCanadian Journal of Animal Science · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsWindbreakGrazingPastureEnvironmental scienceRangelandForageAnimal scienceAgronomyBiologyAgroforestry

Abstract

fetched live from OpenAlex

Large ungulates grazing native rangelands during winter must balance forage intake, a source of energy gain, with minimizing thermal stress, a source of energy loss. Another source of energy loss, energy expended, is related to time spent in different activities. Natural or man-made shelter may alter time spent in different activities. Our objectives were to determine if access to windbreaks altered diurnal activity patterns of beef cattle grazing a windy, foothill range site during winter, and if diurnal activity patterns could be related to weather. We observed diurnal activity patterns of cattle with and with out access to windbreaks (windbreak, nonwindbreak) for two winters on an exposed pasture in southwest Montana. Actual use of windbreaks was only recorded in Winter 2. Windbreak cattle did not use the windbreak until day 16; subsequently, time spent behind windbreaks ranged from 0 to 30%. Activity patterns of windbreak and nonwindbreak cattle differed in subtle ways, indicating they used similar behaviors to minimize energy expended and to maximize energy gain. Time spent grazing was inconsistent between the two winter trials, possibly reflecting large differences in body condition when they entered each winter. For individual groups, time spent grazing (Winter 1, 33–96%; Winter 2, 18–94%) and standing (Winter 1, 0–63%; Winter 2, 0–78%) varied widely on a day-to-day basis, reflecting either an immediate response to that day's weather, or possibly a compensatory response to the previous day’(s’) weather, especially following cold, windy days. Wind velocity had minimal effect on grazing time, presumably because high wind velocities were associated with relatively warm days, or the animals were in sufficient condition to tolerate high wind velocities. Instead of minimizing energy expended by lying down during extreme cold, cattle spent more time standing, which maximizes heat gain from solar radiation. During winter, cattle behavior is a tradeoff between maximizing energy gain (thermal and food) and minimizing energy loss (thermal and metabolic). Key words: Activity, behavior, cattle, shelter, thermal, weather

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 score0.897
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.025
GPT teacher head0.227
Teacher spread0.202 · 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

Citations48
Published2002
Admission routes1
Has abstractyes

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