Molting in Salmonella Enteritidis-Challenged Laying Hens Fed Alfalfa Crumbles. III. Blood Plasma Metabolite Response
Bibliographic record
Abstract
The objective of this study was to examine an alfalfa crumble diet as an alternative molt diet and compare the physiological response of hens to the responses of feed-deprived molted hens. Hens >50 wk old were placed into 6 treatment groups (12 hens per group in trial 1 and 10 hens per group in trial 2): nonmolted Salmonella enterica serovar Enteritidis positive (FF+), nonmolted Salmonella Enteritidis negative (FF-), feed withdrawal Salmonella Enteritidis positive (FW+), FW Salmonella Enteritidis negative (FW), alfalfa Salmonella Enteritidis positive (ALC+), and ALC Salmonella Enteritidis negative (ALC-). Each hen in the Salmonella Enteritidis-positive groups was challenged on the fourth day of the study with 1 mL of 10(6)-cfu Salmonella Enteritidis. Blood was collected on d 2, 5, 9, and 12 of the trial. Blood plasma was collected and metabolite concentrations were analyzed for glucose, calcium, cholesterol, uric acid, total protein, and triglycerides. The feed intakes of the FF hens were 4- to 6-fold greater (P <or= 0.05) than those of the ALC birds in both trials. Over the 12 d of molt, the FW+ hens lost more (P <or= 0.05) BW than all other groups except the FW- hens, whereas the FW-, ALC-, and ALC+ hens lost more BW than the FF hen groups. Uric acid concentrations were generally lower in molted hens compared with the FF hen groups during the initial stages of molt. On d 9 of both trials, concentrations of calcium and total protein were higher (P <or= 0.05) in the FF hens than in the other groups. The FF hen groups exhibited higher (P <or= 0.05) concentrations of triglycerides than the FW and ALC groups in both trials on d 5, 9, and 12. Based on the results from these studies, ALC diets can limit some of the potential physiological stress indicators that accompany feed deprivation during an induced molt.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".