Reproductive performance with an automated activity monitoring system versus a synchronized breeding program
Notice bibliographique
Résumé
The objective was to compare reproductive performance with management programs based on an automated activity monitoring (AAM) system or a synchronized breeding program under field conditions. In total, 1,429 Holstein cows from 3 commercial herds in Ontario, Canada, were enrolled over 1 yr in a randomized controlled trial. At each farm, primiparous and multiparous animals were housed in separate pens. At the pen level, cows were assigned to reproductive management primarily using an AAM system based on monitoring activity levels (Heatime, SCR Engineers Ltd., Netanya, Israel) or a timed artificial insemination (TAI) program. A crossover occurred after 6 mo of the trial to avoid confounding treatment with parity. Insemination based on additional detection of estrus by visual observation was practiced in all pens. At the individual cow level, time to pregnancy throughout the study (n=1,985 cow-6 mo periods), time to first service, and time to second service were analyzed with a Cox proportional hazards models accounting for herd, and did not differ overall between the AAM and TAI treatment groups. However, we observed an interaction between herd and breeding program, such that association of AAM- or TAI-based program with these outcomes differed between farms. Time to pregnancy was not different in herd A [median=151 and 136 d; hazard ratio (HR) = 0.93] and herd C (median=99 and 124, HR = 1.24), whereas herd B had a median time to pregnancy of 119 d and 146 d (HR = 1.3) in the AAM and TAI groups, respectively. Under conditions in which 19 to 32% of artificial inseminations in both groups were based on visually detected estrus, herd pregnancy rate and cow-level time to pregnancy did not differ overall between TAI- and AAM-based programs, but the effect of reproductive management approach depended on herd. Considering 924 cow-6 mo periods with artificial inseminations only by the assigned program, we also found an interaction between herd and breeding program. Stratified analysis showed no difference in time to pregnancy in herd A (HR = 1.3), whereas in herds B (HR = 1.7) and C (HR = 2.8), cows in the AAM treatment group became pregnant sooner compared with those in the TAI group. Factors that influence the variability in relative performance of these management systems between herds require further investigation. Our study used one commercial activity monitoring system and the results cannot necessarily be generalized to other systems.
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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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,004 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».