Effects of supplementing Saccharomyces cerevisiae fermentation products to dairy cows from the day of dry-off through early lactation
Notice bibliographique
Résumé
The scope of this experiment was to study the effects of Saccharomyces cerevisiae fermentation product (SCFP; NutriTek, Diamond V) on milk yield, milk composition, somatic cell count, rumination activity, and immunometabolic profile (inflammation) of dairy cows during the peripartum period. Postpartum inflammation severity was evaluated as the liver functionality index (LFI). The LFI is based on profiles of specific blood inflammatory markers in the first month of lactation. We hypothesized that SCFP could increase the rumination time in dairy cows. Treatments were control (CTR; no supplement, n = 17) or SCFP (19 g/d of NutriTek, n = 17) included into a pellet delivered at robotic milking unit. Treatments were fed from d -60 to 42 relative to parturition. Cows were fed the same basal rations formulated to pre- or postpartum requirements. Cows were voluntarily milked with robotic milking unit. Blood samples were collected at d -60, -28, -7, 7, and 28 relative to parturition. To study the effect of the treatment and severity of inflammation during periparturient period on subsequent cow performance, cows were retrospectively divided into 2 groups based on their LFI score: low (LLFI) and high (HLFI). Thus, LFI grouping and supplementation treatment groups were as follows: LLFI-CTR, LLFI-SCFP, HLFI-CTR, HLFI-SCFP. Data were analyzed with ANOVA using a mixed model for repeated measures; the model included the effect of the diet, LFI group, time relative to parturition, and their interaction. The nonesterified fatty acids concentrations were greatest at d 7 of lactation for LLFI-CTR compared with other groups. No other differences in plasma metabolites were observed. The LLFI-CTR cows had a greater reduction of body condition score from d -7 until 28 relative to parturition compared with other groups. Somatic cell counts were not different among groups, with averages of 175, 169, 384, and 126 × 1,000 cells/mL for the HLFI-CTR, HLFI-SCFP, LLFI-CTR, and LLFI-SCFP group, respectively, regardless of day. However, the LLFI-CTR had greater somatic cell count on d 42 compared with other groups. During the week before parturition, the LLFI-CTR group had reduced rumination time of 46 min compared with the other 3 groups. However, the minutes of rumination per day was only different between LLFI-CTR and the LLFI-SCFP groups. Milk production of cows was different for LFI scores as follows: 50.2 versus 46.7 kg/d for HLFI and LLFI, respectively. Interestingly, there were no differences of milk production due to supplementation treatment of the HLFI cows. However, the LLFI-SCFP group produced 49.1 kg/d compared with 44.3 kg/d of the LLFI-CTR group during the first month of lactation. Milk composition did not differ throughout the experimental period for the 4 groups of cows. In conclusion, SCFP supplementation assisted cows experiencing low LFI to maintain milk production, somatic cell count, and plasma nonesterified fatty acid concentrations similar to cows with high LFI.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 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 ».