PSI-1 Depletion and Repletion Dynamics of Individual and Regional Bone-Mineral Reserves in Replacement Gilts Fed Different Levels of Dietary Phosphorus and Calcium
Bibliographic record
Abstract
Abstract The aim of this study was to evaluate the ability of replacement gilts to compensate (repletion), before their insemination, bone-mineralization deficit in individual bones or bone regions that resulted from low dietary phosphorus (P) and calcium (Ca) supply during the growing period (depletion). A total of 24 gilts were fed according to a 2-phase feeding program (60-95 and 95-140 kg BW, respectively). During the depletion period, the gilts were fed ad libitum a finisher diet providing either 100% or 60% of the estimated P requirement (D100 with 2.1 g and D60 with 1.2 g digestible P/kg, respectively). During the repletion period, one-half of the gilts from each finisher diet were randomly assigned to either a restrictively fed control or a high-P diet (R100 with 2.1 g and R160 with 3.5 g digestible P/kg, respectively) according to a 2 × 2 factorial design, resulting in 4 treatments: D60-R100, D60-R160, D100-R100 and D100-R160. Bone mineral content (BMC) in the entire body, individual bones (femur and spine lumbar L2-L4), and bone regions (front legs and hind legs) were measured in each gilt at 2-week intervals using dual-energy X-ray absorptiometry (DXA). At 95 kg, gilts fed D60 had less BMC in the entire body, all individual bones and bone regions than those fed D100 (P < 0.001). The spine lumbar L2-L4 lost more BMC (-17%; P < 0.001) than the other sites, which decreased by 7% in the hind legs (P = 0.001), 9% in the femur (P = 0.002) and 10% in the head and trunk (P = 0.043 and P = 0.006). At 140 kg, all sites studied had similar BMC. In D60 gilts, recovery was reached 2 (P < 0.001) and 4 weeks (P < 0.001) after the depletion period when fed the R160 and R100 diets, respectively. These results show that replacement gilts can regain mineral deficits in all individual bones and bone regions.
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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) | 0.001 | 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 | 0.001 |
| 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".