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Effect of social relationships on dairy cows’ decision to move to and from an outdoor area

2024· article· en· W4391755683 on OpenAlexafffund
Emeline Nogues, Daniel M. Weary, M.A.G. von Keyserlingk

Bibliographic record

VenueApplied Animal Behaviour Science · 2024
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBarnMilkingHerdAnimal sciencePet therapyDairy cattleAnimal welfareGeographyBiologyEcology

Abstract

fetched live from OpenAlex

Leader-follower behaviours have been described in cattle housed on pasture and when entering the milking parlour. To our knowledge, no study has investigated these behaviours in cattle provided free-choice access to the outdoors. This study explores whether the timing of cows exiting and entering the barn from an outdoor area is associated with the movement of their herd mates. We followed 18 lactating Holstein cows housed indoors in a freestall barn together with 18 non-experimental cows, for on average 77 d (range: 74 – 80). The 18 experimental cows were allowed free access to an outdoor open pack (sand covered with woodchips) through an automated selection gate which automatically recorded when a cow exited the barn. To enter the barn from outside, cows went through a one-way gate; time of entry was recorded from video. Cows moved in and out of the barn on average 269 times (range: 68 – 472). A Gaussian mixture model was applied to the log of the frequency distribution of time intervals between each cow and the next for each entry and exit. On the basis of where the curves intersected, we identified a threshold interval of 42 s between consecutive exits or entries to consider movements as associated. Applying this threshold, 13.8% of events were associated with the movement of another cow: 11.2% of exits and 16.4% of entries. We created a leader-follower matrix for each direction: the leader being the cow initiating the movement, and the follower the one walking through the same gate within 42 s of the leader. These association matrices were used to build weighted and directed social networks for exits and entries; we found a moderate positive correlation between the networks (RQAP = 0.69, p < 0.001), meaning the patterns of association between cows observed when exiting the barn were consistent with those when they entered. Just over a third of the relations in the networks were asymmetrical; in contrast, leader-follower theory would predict that one individual within each pair would lead consistently. We identified 17 of 153 possible between-cow pairings as preferentially bonded; these pairs had a simple ratio index of association more than twice the average of all possible pairs. We conclude that some of the cow movements to and from an outdoor pack were influenced by the movements of other group members, and these associations were particularly strong between some pairs of cows.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.053
GPT teacher head0.369
Teacher spread0.316 · 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 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

Citations9
Published2024
Admission routes2
Has abstractno

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