Differences in body condition of gilts that are maintained from mating to the end of gestation affect mammary development1
Notice bibliographique
Résumé
The goal of this project was to determine if different body conditions in late gestation that are due to varying body conditions at mating affect mammary development and mammary gene expression of gilts. Gilts that were fed ad libitum in the growing period were selected based on their backfat depths to form 3 groups at mating, namely, low backfat (LBF; 12-15 mm; = 14), medium backfat (MBF; 17-19 mm; = 15), and high backfat (HBF; 22-26 mm; = 16). During gestation, LBF, MBF, and HBF gilts were fed approximately 1.25, 1.43, and 1.63 times maintenance requirements to maintain their differences in body condition. Feed intake was increased by 1 kg in the last 10 d of gestation. Backfat depths of gilts were ultrasonically measured at mating and on d 30, 50, 70, 100, and 109 of gestation. Blood samples were obtained at mating and on d 109 of gestation to measure concentrations of IGF-1, glucose, insulin, estradiol, urea, free fatty acids, leptin, and adiponectin. Gilts were slaughtered on d 110 of gestation to collect mammary glands for compositional analyses. Mammary extraparenchymal tissue weight was lesser in LBF and MBF gilts than in HBF gilts (1,259.3, 1,402.7, and 1,951.5 ± 70.4 g, respectively; < 0.01). The weight of parenchymal tissue was not affected by treatment ( > 0.10), but its composition was altered. Concentrations of DNA and RNA decreased as backfat depth increased ( < 0.05), whereas percent fat and DM increased ( < 0.05). Circulating concentrations of leptin tended to be lower at mating ( < 0.10) and were lower on d 109 of gestation ( < 0.05) in LBF gilts than in HBF gilts. On d 109 of gestation, concentrations of insulin ( < 0.01) and IGF-1 ( < 0.05) were lower in LBF and MBF gilts than in HBF gilts, whereas those of urea were greater ( < 0.05). The mRNA abundance in parenchymal tissue for all genes studied was not affected by treatments ( > 0.10) with the exception of , which had a greater expression level in LBF gilts than in MFB or HBF gilts ( < 0.05). Percent of Ki-67-positive cells, used to assess mammary cell proliferation rate, was greater in HBF gilts than in LBF gilts ( < 0.05). When differences in body conditions of gilts that were present at mating were maintained throughout gestation, it had an impact on mammary development. Extraparenchymal tissue mass was affected and, more importantly, composition of parenchymal tissue was altered, indicating a beneficial effect of gilts being in the thinner treatment groups at mating.
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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 | 0,001 | 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 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 ».