Dietary fenugreek seed extract improves performance and reduces fecal <i>E. coli</i> counts and fecal gas emission in lactating sows and suckling piglets
Bibliographic record
Abstract
Hossain, M. M., Begum, M., Nyachoti, C. M., Hancock, J. D. and Kim, I. H. 2015. Dietary fenugreek seed extract improves performance and reduces fecal E. coli counts and fecal gas emission in lactating sows and suckling piglets. Can. J. Anim. Sci. 95: 561–568. This study evaluated the efficacy of fenugreek seed extract (FSE) in sows and suckling piglets. The trial was conducted with 78 multiparous sows and their litters in a 28-d feeding trial, and one of three diets: CON (control, basal diet); FSE1 (basal diet+0.1% FSE), and FSE2 (basal diet+0.2% FSE). Piglets suckling sows fed the FSE1 and FSE2 diets had higher average daily gain compared with those suckling sows fed the CON from week 2 to weaning (linear, P<0.05). At weaning, sows fed the FSE1 and FSE2 diets had higher immunoglobulin G and lower low-density lipoprotein–cholesterol concentrations compared with those fed the CON diet (linear, P<0.05). Sows fed the FSE2 diet linearly reduced total cholesterol concentrations at weaning (P<0.05). Piglets suckling sows fed the FSE2 diet had higher immunoglobulin G and red blood cell concentrations compared with those suckling sows fed the CON diet (linear, P<0.05). Sows fed the FSE2 diet had higher apparent total tract digestibility of N and gross energy and reduced fecal E. coli counts and ammonia gas emission compared with those fed the CON diet at weaning (linear, P<0.05). In conclusion, results indicate that feeding sows a diet supplemented with FSE in late gestation and lactation improved performance in sows and suckling piglets.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".