Maximizing the performance of heat stressed broilers by optimizing starch-to-lipid ratios, digestible amino acid, and metabolizable energy during the finisher phase
Bibliographic record
Abstract
. Sex-specific starter and grower diets were fed until d 21. The rooms were maintained at 21°C during d 21 to 27. From d 27 to 32, the birds were subjected to cyclical heat stress, with 12 h of 31°C followed by 12 h of 21°C, with a minimum RH of 50 %. BW and feed residual weights were measured on d 21, 27, and 32, then used to calculate BW gain (BWG) and feed-to-gain ratios (F:G). On d 33, 20 birds per treatment per sex were slaughtered to determine carcass characteristics. Under these conditions (d 21 to 32), maximum male BWG of 926 g was estimated to occur when fed a diet comprised of 42.2 % Basal B and 57.8 % Basal C with a S:L ratio of 4:1, AME of 3089 kcal/kg, and 1.01 % DigLys. Diet did not influence female BWG during heat stress. Although a practical recommendation was not possible for optimal breast meat yield (% live weight) and F:G ratios, the results, indicated that increasing DigLys would improve these parameters under heat stress.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 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".