Dairy producer perceptions toward male dairy calves in the Midwestern United States
Notice bibliographique
Résumé
Male dairy calves are often sold from the farm of birth within the first few days of life. Research describing the care of male calves is limited, with an emphasis on parsing differences between the care of male and female calves. The aims of this study were to describe dairy producers’ self-reported care practices for male relative to female calves, as well as their perceptions toward male calf care and welfare. Overall, 24 dairy producers in Ohio and Indiana participated in 1 in-person focus group (n = 10) or were individually interviewed (n = 14) using a semi-structured questionnaire with closed and open-ended questions about neonatal calf care and welfare. Discussions were audio recorded and transcribed verbatim. Data from closed-ended questions are described quantitatively, and thematic analysis was used to identify common themes discussed by producers for open-ended questions. A majority of producers described using different care protocols for male and female dairy calves (64%; 9/14 interview participants). Low input care practices were more commonly consistent between male and female calves, such as colostrum protocols (71%; 10/14 interview participants) and navel care (100%; 14/14 interview participants) than more costly treatments. Of the producers that provided disease prevention products to female calves (79%; 11/14 interview participants), only a few also administered them to male calves (27%; 3/11 interview participants). Three major themes were constructed from the open-ended questions, including factors affecting male dairy calf care, attitude toward male calf welfare, and opportunities to improve male dairy calf welfare. Producers described multiple factors that influenced male calf care on the dairy, such as time and money required to care for them. There was divergence in concern among producers about male calf welfare, with some producers expressing concern, particularly for calves slaughtered soon after birth; yet others described feelings of indifference about the topic. Potential ways to improve male calf welfare, including greater sale prices and the involvement in specialized marketing schemes, were suggested by some producers. These findings highlight potential concerns for male calf welfare and ways to improve future care on dairy farms.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».