PSI-41 Tibia attributes in aged Lohmann LSL-lite hens fed corn-soybean meal diet with different levels of calcium and 25-hydroxy vitamin D3.
Bibliographic record
Abstract
Among effective nutritional factors on bone dynamics in reproducing fowl, Ca and vitamin D are very important. We investigated the effect of different levels of Ca and 25-hydroxy vitamin D3 (25OHD3) on tibia characteristics in Lohmann LSL-lite layers from 74 to 81 wk of age. Four levels of Ca (3.0, 3.5, 4.0 and 4.5% of diet) and three levels of 25OHD3 (0, 69 and 138 µg/kg of diet) were tested with a basal level of 330 KIU of vitamin D3/kg. Eighty-four individually housed hens had free access to feed and water and were sacrificed at the end of wk 81 for tibia samples. Tibia ends (spongy bone epiphysis and metaphysis) were separated from diaphysis. The ends and diaphysis were longitudinally cut and medullary bone separated by scrapping. The ends, cortical and medullary sections were dried at 105°C for measuring percentage of dried weight (PDW) of each parts to the whole tibia. Dried sub-part samples ashed at 600°C for measuring total ash content (AC) and ash concentration (ACO) of each part of tibia. The inclusion of Ca had no effect on the PDW of sub-parts of tibia (P>0.05). Conversely, 25OHD3 linearly (P=0.014) increased PDW of medullary and decreased PDW of cortical (P=0.001). There was no (P>0.05) interaction effect between Ca and 25OHD3 or Ca levels on PDW, AC and ACO in medullary and cortical part. The main effect of 25OHD3 was such that medullary AC and ACO increased (P<0.01) by 33 and 15% in response to the highest level, respectively. In concomitant, cortical AC and ACO were decreased (P<0.05) in response to highest level of 25OHD3. In conclusion, Ca level had no effect on tibia attributes in late of egg production cycle. However, supplemental 25OHD3 increased medullary bone attributes (PDW, AC and ACO) at the expense of decreasing cortical bone attributes.
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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) | 0.002 | 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".