A comparison of washed and unwashed bags to determine the apparent fecal digestibility of dry matter, energy and crude protein in feeds for swine using the mobile nylon bag technique
Bibliographic record
Abstract
Five feeds and five castrates were used to study the effects of washing rather than scrapping feces fr om bags on nutrient digestibility obtained with the mobile nylon bag technique (MNBT). Using unwashed bags, the MNBT and the conventional indicator method (CON) produced similar dry matter digestibility (DMD) with barley being the only ingredient where a difference (P < 0.05) was obtained between the two techniques. The linear regression equation was CON DMD = 5.39 + 0.92 MNBT DMD (r2 = 0.95). The MNBT overestimated DMD with a bias of less than 0.1%. When washed bags were used, differences (P < 0.05) were obtained between the two techniques for barley, corn and oats and the MNBT overestimated DMD with a bias of 6.6%. There were no differences in gross energy digestibility (GED) when obtained with the indicator method or the MNBT using unwashed bags. The regression line equation was CON GED = 3.85 + 0.94 MNBT GED (r2 = 0.95) and the MNBT overestimated GED with a bias of 1.4%. When washed bags were used, significant (P < 0.05) differences were obtained between techniques for GED with barley, corn, and oats. The MNBT overestimated GED with a bias of 7.3%. With unwashed bags, there were no differences in crude protein digestibility (CPD) obtained with the indicator method or the MNBT, with the exception of the mixed diet. The regression line equation was CON CPD = 28.16 + 0.60 MNBT CPD (r2 = 0.53) and the MNBT overestimated CPD with a bias of 3%. When washed bags were used, significant (P < 0.05) differences were obtained between techniques for barley, corn, oats, wheat and the mixed diet, and the MNBT overestimated CPD with a bias of 12.8%. The overall results of this experiment indicate that washing bags greatly overestimates nutrient digestibility coefficients obtained with the MNBT. Key words: Nylon bag, pigs, digestibility, protein, energy, cannula
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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 | 0.001 |
| 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) | 0.000 | 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 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".