PSIII-16 Body Calcium and Phosphorus Mobilization of Sows During Lactation
Bibliographic record
Abstract
Abstract Considering the excess of phosphorus (P) as a fertilizer in some regions, optimizing its use by animals is crucial to reduce its excretion. During the production cycle of the sow, P and calcium (Ca) requirement are greatest in lactation. To satisfy P and Ca need for milk production, sows have Ca and P available from dietary intake, but may also mobilize Ca and P from bone reserves. If that is the case, considering bone mobilization during lactation would be an opportunity to reduce dietary P intake. However, to our knowledge, bone mobilization in lactating sows is not well documented because of the difficulty in measuring it. With the use of X-ray technology to determine body composition on live animals, this subject can now be studied. Thus, the objective of this experiment was to quantify the body mineral mobilization during lactation for sows up to 3rd parity using dual-energy X-ray absorptiometry (DXA, i-DXA, GE Medical Systems, Glattbrugg, Switzerland) to obtain whole body bone mineral content (BMC) and whole-body lean and fat tissue mass. Eighteen Swiss Large White sows were scanned on day 2 and 26 (weaning) after parturition. The lactation diet was formulated to meet nutritional requirements; parity 1 [digestible energy (DE): 12.1 MJ, digestible P (DigP): 3.0 g, Ca: 9.0 g /kg], parity 2 and 3 (DE: 14.1 MJ, DigP: 2.8 g, Ca: 8.0 g /kg). Whole body P and Ca contents were calculated from lean tissue mass and BMC obtained by DXA. Bone mineral mobilization (BMCMOB, g), body phosphorus mobilization (PMOB, g) and body calcium mobilization (CaMOB, g) were calculated as the difference in BMC, body P and body Ca between day 26 and day 2. Piglets were weighed at farrowing and weaning and the average daily gain per piglet (PigletADG, kg/d) and the birth weight of litter (LitterBW, kg) were calculated. The mean body composition was on day 2: BMC, 5,810 ± 1082 g; P, 1,344 ± 207 g; Ca, 2,362 ± 440 g and on day 26: BMC, 5,093 ± 1,001 g; P, 1,228 ± 198 g; Ca: 2,070 ± 407 g. The pigletADG was 0.24 ± 0.05 kg/d and LitterBW was 18.5 ± 2.47 kg. The prediction equations for BMCMOB and body Ca and P during lactation are presented in Table 1. The best predictor was PigletADG and for body P, LitterBW also tended to be an influencing factor. This study allowed to quantify the P and Ca mobilization of the sow during lactation. Next step will be to evaluate the impact of dietary supply on this mobilization to then integrate it in requirement models.
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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 | 0.001 |
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".