The Effects of Alfalfa-Based Molt Diets on Skeletal Integrity of White Leghorns
Bibliographic record
Abstract
Sixty White Leghorn hens were assigned to 1 of 6 treatments: pretrial control (PC), full fed (FF), 9-d feed withdrawal (FW), 90% alfalfa-10% layer ration (A90), 80% alfalfa-20% layer ration (A80), and 70% alfalfa/30% layer ration (A70). For the PC, hens were killed and bones collected immediately before light restriction. The FF hens were also subjected to light restriction. After hens were fasted or fed different molting treatment diets for 9 d, they were fed a maintenance diet for 14 d. At 23 d postmolt, hens were killed and bones collected. Feed intakes per hen of the FF, A90, A80, and A70 treatments during a 9-d molting period were 97, 17, 44, and 46 g, respectively. Tibia dry weight of the PC was greater than the FF group. The PC group had significantly greater tibia ash weight than the FF, FW, A90, and A80 groups. Tibia ash concentration of the PC group was significantly greater than the FF, A90, and A80 groups. Humerus dry weights of the PC group were greater than the other groups except for hens on FW. Humerus ash weight was lower for FF hens as compared with PC hens, but other molting treatments had humerus ash weights similar to PC hens. Tibia mineral content and density of the PC were significantly greater than the other treatments. The FF group exhibited significantly lower humerus mineral content and density compared with those of the PC group. The PC and A70 hens exhibited significantly greater ultimate bending moment and ultimate stress compared with the FF and A90 hens. The modulus of elasticity of the PC hens was greater than that of the FF and A90. There were no significant differences in modulus of elasticity among the PC, FW, A80, and A70 hens. In conclusion, hens at 23 d postmolt experienced deterioration in skeletal integrity. This decrease in bone quality occurred in all molted hens. However, A70 and A80 alfalfa-fed hens retained mechanical properties of bones compared with the pretrial control.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| 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".