Rearing goat kids away from their dams 2. Understanding farmers’ views on changing management practices
Notice bibliographique
Résumé
Improving animal welfare is an important aim of livestock industries and is dependent on human management. Understanding attitudes to change and perceived barriers is therefore a key consideration for welfare scientists. A survey that aimed to investigate farmers’ attitudes towards changing goat kid-rearing practices was distributed. Likert scales examined willingness to change and the importance of factors in decision-making alongside open-text responses for further explanation. A total of 242 farmers (United States of America (USA) 72; United Kingdom (UK) 71; Australia 33; Canada 23; New Zealand 20; European Union 14; Other 9) rearing goat kids away from their dams responded. All respondents rated from one (highly unwilling) to seven (highly willing), how willing they would be to supply three enrichment types. Willingness to provide enrichments differed (χ2(2) = 190.114, P < 0.001), with farmers most likely to provide climbing or loose items rather than swinging items. The most common reasons cited for unwillingness to provide enrichment were related to safety (101 responses/76.5%). Those currently abruptly weaning were asked how willing they would be to use gradual weaning methods. Those abruptly weaning from ad libitum milk systems (n = 47) showed no difference in willingness to change to different gradual weaning methods; the median (Interquartile Range (IQR)) for the willingness to change to removing teats was 2 (1–4), reducing milk temperature 3 (1–5) and diluting milk 2 (1–5), with most concerns relating to feasibility. Those abruptly weaning from bottle feeding (n = 18) also showed no difference in willingness to change to gradual weaning methods. Median (IQR) score for willingness to change to reduced number of bottle feeds was 4 (1–7), reducing milk quantity 3 (1–6.25), and diluting milk 1 (1–5), respectively. Health concerns were the most common reason for not being willing to change. All 242 respondents were asked to rate how important different factors are when deciding to implement a new management practice. There was a significant difference in importance between factors (χ2(2) = 34.779, P < 0.001). Median (IQR) importance of the factors was labour/time 5 (4–7), cost 5 (4–7), evidence beneficial to welfare 6 (5–7), evidence beneficial to health 6 (5–7), and evidence beneficial to growth 6 (4–7). To our knowledge, this is the first study to examine goat farmers’ attitudes towards changing management practices and could help ensure that future research addresses farmer concerns and therefore has the best opportunity to be implemented on-farm.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| 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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».