137 Inclusion of Spray Dried Plasma in Diets Based on Different Ingredient Combinations Increases the Digestibility of Energy, Fiber, Ca, and P by Young Pigs
Bibliographic record
Abstract
Abstract An experiment was conducted to test the hypothesis that spray dried plasma (SDP) increases the apparent total tract digestibility (ATTD) of gross energy (GE), nitrogen (N), total dietary fiber (TDF), Ca, and P and the standardized total tract digestibility (STTD) of P from other ingredients in diets for young pigs. Eighty barrows (body weight: 9.30 ± 0.97 kg) housed in metabolism crates were allotted to a randomized complete block design with 10 diets and 2 blocks. Diets typically used in 4 regions using combinations of corn, soybean meal, wheat, barley, or rice were formulated: U.S.A., European Union, Canada, and Asia, and included 0 or 6% SDP. Differences between measured and predicted values for ATTD and STTD of energy and nutrients in diets with SDP were calculated. Data were analyzed using PROC MIXED of SAS as a 2 × 4 factorial with 2 SDP levels and 4 regions. When 6% SDP was included in the diet, ATTD and STTD values, except TDF, were increased (P < 0.05) compared with diets without SDP (Table 1). The ATTD of GE, TDF, and P and the STTD of P was greater (P < 0.05) for the Asia diet compared with the other diets. The measured ATTD of TDF was greater (P < 0.05) than the predicted for the U.S.A. and European Union diets (Table 2), and the measured ATTD of GE, N, Ca, and P and STTD of P was greater (P < 0.05) than the predicted for the Asia diet compared with the other diets. In conclusion, addition of 6% SDP to a diet increases the ATTD of energy and nutrients and the STTD of P regardless of diet composition, and therefore, the actual ATTD of energy and nutrients and the STTD of P in diets with SDP may be greater than predicted.
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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 | 0.001 | 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 | 0.001 |
| 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".