Effect of social relationships on dairy cows’ decision to move to and from an outdoor area
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».