393 Beef cow antepartum glucose-insulin kinetics are altered by overfeeding metabolizable protein during late gestation and influenced by test-day relative to calving
Bibliographic record
Abstract
Abstract The objective of this study was to determine whether antepartum glucose-insulin kinetics were affected when primiparous Hereford-cross heifers were fed diets containing 100 (CON; n = 10) or 133% (HMP; n = 11) of their metabolizable protein requirements from d -55.3 ± 3.7 until parturition. Intravenous glucose tolerance tests (IVGTT) were performed on d -5.4 and -7.1 ± 1.3 (CON and HMP, respectively; P = 0.34) by collecting baseline (-10 min) plasma, infusing 1.36 g glucose/kg BW0.75 via a jugular catheter, and subsequently sampling plasma for analysis of glucose and insulin. Data were analyzed with PROC GLIMMIX as a randomized block design with the fixed effects of diet, time (minute), and diet × time, considering cow (block) as a random effect. Pearson correlations were performed for IVGTT variables and test-day relative to parturition. Differences and trends were declared at P < 0.05 and 0.05 ≤ P < 0.10, respectively. Basal glucose was 13.5% greater (P = 0.048) and basal insulin tended to be 28.8% greater (P = 0.068) for HMP than CON heifers. Plasma glucose (-10 to 120 min) was greater (P = 0.047) for HMP than CON, whereas insulin was not (P = 0.54). Glucose and insulin were respectively elevated (time: P < 0.001) at 0 and 5 and 5 to 20 min and both equilibrated to baseline by 90- and 120-min. Diet × time tended to affect (P = 0.061) the glucose:insulin ratio. Test-day was correlated with time-to-max insulin (ρ = 0.60, P = 0.006), insulin clearance rate (ρ = 0.48, P = 0.027), and glucose area-under-the-curve (ρ = -0.47, P = 0.031). Time relative to calving can influence antepartum glucose-insulin kinetics. Oversupplying metabolizable protein increased baseline glucose and insulin and glucose throughout the IVGTT. Antepartum beef cattle may have altered energy partitioning that is responsive to protein consumption.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".