Evaluation of different feed flavours on the performance of piglets during nursery and its impacts on late finishing performance and carcass traits
Bibliographic record
Abstract
Weaning is a critical time for the young pig. The nutrient requirements of nursery pigs are affected by many factors such as weaning age, antigen exposure, and sex of the pig. Also, since feed intake is influenced by the learning abilities of the animal, any negative post-ingestive experiences with digestion may be linked to the feed and decrease feed intake. The present study aimed to evaluate the impact of the supplementation of different feed flavours for piglets during nursery phase on their performance and analyze the correlation between nursery performance and grower/ finisher performance and carcass traits. The use of flavored feed in nursery pens had a positive effect on voluntary feed intake and consequently overall nursery phase performance, which also impacted positively on piglet growth rates. Our results also indicated that there is a direct impact of the nursery end BW and finisher performance traits. Pigs that ate more gained more weight and were heavier at the end of nursery, also grew faster and were heavier at slaughter than the control pigs. This higher BW at slaughter also reflected on improved carcass performance traits. We can conclude that the use of feed flavours is an important tool to reduce post-weaning stress and enhance piglet performance during nursery which impacts positively on finisher output performance and carcass traits.
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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) | 0.001 | 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".