Assessing the effect of rate and extent of starch digestion on laying hen performance
Bibliographic record
Abstract
The inclusion of starch with a lower rate and extent of digestion has proven to be beneficial in broiler production. However, less is known about its effect on laying hen performance. Therefore, 6 diets were formulated to produce differing ratios (0:100, 20:80, 40:60, 60:40, 80:20, and 100:0) of semi-purified wheat starch (rapidly digested) and pea starch (PS; slowly digested). Each diet was fed to 120 conventionally caged Lohmann LSL lite hens in groups of 12, from 27 to 46 wk of age, and its effects on performance and feather covering were assessed. Data were analyzed by regression analysis, and the significance level was chosen at P ≤ 0.05. Hen-day egg production (HDP) was high (97.05%) and unaffected by PS concentration for 0 to 10 wk of the trial, followed by a quadratic-shaped HDP, with an estimated maximum at 67% PS concentration, for the 10 to 20 wk period of the trial. Overall (0 to 20 wk), HDP increased linearly with PS. No effect on egg weight was found (average weight = 59.6±2.1 g), but eggshells were thickest at the 55% PS concentration. Body weight gain was affected by PS concentration and maximized at 49% PS. Body weight uniformity and mortality were not affected by dietary treatment. Feed intake increased linearly with PS from 102 to 109 g/hen/d, while feed: egg mass ratio was minimal at 26% PS. Using a scale from 1 to 4 per body part (neck, wings, back, vent and breast), only neck feather cover increased linearly with PS, from 3.0 (0% PS) to 3.2/4 (100% PS). However, back and total feather coverage showed a trend (P = 0.054 and P = 0.079 respectively) to increase linearly with PS as well (from 3.7 to 3.9/4 and 15.6 to 16.6/20, respectively). In summary, feeding PS at low to intermediate concentrations improved laying hen performance. Further research should focus on the mechanisms involved in this effect.
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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 | 0.001 | 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".